diff --git a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Crackingpatching Alternatives A Comprehensive Guide on Where and How to Download Cracked Software.md b/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Crackingpatching Alternatives A Comprehensive Guide on Where and How to Download Cracked Software.md deleted file mode 100644 index da00e05d94dce67af9b945be6b7458cdc0fe000f..0000000000000000000000000000000000000000 --- a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Crackingpatching Alternatives A Comprehensive Guide on Where and How to Download Cracked Software.md +++ /dev/null @@ -1,65 +0,0 @@ -
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Crackingpatching Alternatives: The Best Sites to Download Cracked Software

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Crackingpatching is a popular website that offers cracked versions of various software for free. However, it is not the only option available for those who want to download cracked software. There are many other websites that provide similar services, but with different features, advantages, and disadvantages.

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crackingpatching alternatives


DOWNLOAD ::: https://byltly.com/2uKwgj



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In this article, we will explore some of the best crackingpatching alternatives that you can use to download cracked software safely and easily. We will compare them based on their content, quality, security, and usability. We will also provide some tips and warnings on how to use cracked software responsibly and legally.

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What is Cracked Software?

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Cracked software is software that has been modified or hacked to bypass or remove its original protection mechanisms, such as license keys, activation codes, or digital rights management (DRM). Cracked software is usually distributed for free or at a lower price than the original software.

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Some of the reasons why people use cracked software are:

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However, using cracked software also comes with some risks and drawbacks, such as:

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What are Crackingpatching Alternatives?

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Crackingpatching alternatives are websites that offer cracked versions of various software for free. They are similar to crackingpatching in terms of their content and purpose, but they may differ in their quality, security, and usability.

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Some of the factors that you should consider when choosing a crackingpatching alternative are:

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The Best Crackingpatching Alternatives

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Here are some of the best crackingpatching alternatives that you can use to download cracked software:

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Getintopc

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Getintopc is one of the most popular and trusted websites for downloading cracked software. It offers a wide range of software categories, such as operating systems, antivirus, office tools, graphics, multimedia, games, and more. It also provides detailed information and screenshots for each software. It has a simple and user-friendly interface that allows you to easily find and download the software that you need.

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Pros:

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Cons:

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Oceanofgames

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Oceanofgames is another popular and trusted website for downloading cracked software. It specializes in offering cracked versions of various games for different platforms, such as PC, Mac, Linux, -Android, iOS,

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\ No newline at end of file diff --git a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Crysis RPCS3 Amazing Gaming Experience.md b/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Crysis RPCS3 Amazing Gaming Experience.md deleted file mode 100644 index f8213a72445f21f14514923d609b23f3744c664b..0000000000000000000000000000000000000000 --- a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Crysis RPCS3 Amazing Gaming Experience.md +++ /dev/null @@ -1,34 +0,0 @@ -
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How to Play Crysis on RPCS3 - The Ultimate Guide

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Crysis is a legendary first-person shooter game that was released for PC in 2007 and later ported to PlayStation 3 in 2011. The game is known for its stunning graphics, immersive gameplay, and challenging difficulty. But what if you want to play Crysis on your PC using RPCS3, the best PS3 emulator for Windows, Linux, macOS and FreeBSD? In this article, we will show you how to do that step by step.

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What is RPCS3?

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RPCS3 is a multi-platform open-source Sony PlayStation 3 emulator and debugger written in C++ for Windows, Linux, macOS and FreeBSD made possible with the power of reverse engineering. It can run PS3 games and applications with varying degrees of compatibility and performance. You can check the compatibility list of RPCS3 to see which games are playable, ingame, intro, loadable, or nothing.

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crysis rpcs3


Download File ↔ https://byltly.com/2uKwWs



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How to Download and Install RPCS3?

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To download and install RPCS3, you need to follow these steps:

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  1. Go to the official website of RPCS3 and click on the Download button.
    2. -
  2. Select your operating system and download the latest release or preview build of RPCS3.
    3. -
  3. Extract the downloaded file to a folder of your choice.
    4. -
  4. Run rpcs3.exe (Windows) or rpcs3 (Linux/macOS/FreeBSD) to launch the emulator.
    5. -
  5. Follow the instructions on the Quickstart guide to set up the emulator. You will need a PS3 firmware file, a PS3 controller or a compatible gamepad, and some PS3 games or applications.
    6. -
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How to Play Crysis on RPCS3?

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To play Crysis on RPCS3, you need to follow these steps:

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  1. Make sure you have a digital copy of Crysis for PS3. You can buy it from the PlayStation Store or use a backup tool to dump it from your PS3 console. The game ID should be NPEB00575, NPUB30302, or NPJB00150.
    2. -
  2. Copy the game folder to the dev_hdd0/game folder of your RPCS3 installation. Alternatively, you can use the File > Install .pkg option in RPCS3 to install the game from a .pkg file.
    3. -
  3. Launch RPCS3 and select Crysis from the game list. Right-click on it and choose Configure to adjust the game-specific settings. No options that deviate from RPCS3's default settings are recommended for this title.
    4. -
  4. Double-click on Crysis to start the game. Enjoy!
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Troubleshooting and Tips

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If you encounter any issues or problems while playing Crysis on RPCS3, here are some tips that might help you:

-Must LearnExpandAccountingEmbedded SystemsOperating SystemAlgorithmsEthical HackingPMPAndroidExcel TutorialPhotoshopBlockchainGo ProgrammingProject ManagementBusiness AnalystIoTReviewsBuild WebsiteITILSalesforceCloud ComputingJenkinsSEOCOBOLMISSoftware EngineeringCompiler DesignMovieVBACoursesNetworkingVPNBig DataExpandAWSHivePower BIBig DataInformaticaQlikviewCassandraMicroStrategyTableauCognosMongoDBTalendData WarehousingNiFiZooKeeperDevOpsOBIEEPentahoHBaseLive ProjectExpandLive Agile TestingLive Selenium ProjectLive HP ALMLive Selenium 2Live Java ProjectLive Security TestingLive Mobile TestingLive Testing ProjectLive Payment GatewayLive Testing 2Live PHP ProjectLive TelecomLive Projects HubLive UFT/QTP TestingLive Python ProjectLive SEO ProjectAIExpandArtificial IntelligencePyTorchData ScienceR ProgrammingKerasTensorFlowNLTKSearchToggle Menu15 BEST Java IDE (Compiler / Editor) for Windows, Mac, Linux in 2023ByJames HartmanHoursUpdatedJanuary 14, 2023@media(min-width: 520px).responsive-guru99-mobile1 float:left;min-height: 280px; @media(max-width: 519px).responsive-guru99-mobile1 min-height: 280px !important; @media(max-width: 499px).responsive-guru99-mobile1display: none !important;@media(max-width: 499px).responsive-guru99-mobile12 margin-right:6px;width:345px;min-height:100px; googletag.cmd.push(function() googletag.display('div-gpt-ad-1565016699961-0'); if (typeof(pubwise) != 'undefined' && pubwise.enabled === true) pbjs.que.push(function () pwRegisterLazyLoad(gptadslots['div-gpt-ad-1565016699961-0'], 1, [50,0,50,0], 0, 768, 2); ); else googletag.pubads().refresh([gptadslots['div-gpt-ad-1565016699961-0']]); ); googletag.cmd.push(function() googletag.display('div-gpt-ad-1565016699961-1'); if (typeof(pubwise) != 'undefined' && pubwise.enabled === true) pbjs.que.push(function () pwRegisterLazyLoad(gptadslots['div-gpt-ad-1565016699961-1'], 1, [50,0,50,0], 0, 768, 2); ); else googletag.pubads().refresh([gptadslots['div-gpt-ad-1565016699961-1']]); ); Java is a programming language and a computing platform for application development. It was first released by Sun Microsystem in 1995 and later acquired by Oracle Corporation. It is one of the most used programming languages. There are numerous IDE for Java that offer smart code completion and validate errors in real time. Choosing the best Java IDE from a plethora of options could be a challenge.

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\ No newline at end of file diff --git a/spaces/cihyFjudo/fairness-paper-search/Movie Mp4 __HOT__ Download.md b/spaces/cihyFjudo/fairness-paper-search/Movie Mp4 __HOT__ Download.md deleted file mode 100644 index 1c42bc67021866e7db698727962e509ce7907001..0000000000000000000000000000000000000000 --- a/spaces/cihyFjudo/fairness-paper-search/Movie Mp4 __HOT__ Download.md +++ /dev/null @@ -1,32 +0,0 @@ - -

Movies are there to entertain us, especially in this pandemic where you cannot leave the house and watch a movie in a theater. Despite this pandemic, movie makers always make sure that you are entertained even if you are just in your house or working in the house. But you need to have the best, and free MP4 movie downloads site for you to enjoy while having your popcorn in bed with your family. However, the net is so broad that you do not know the best site to download a movie on your device. So today, we got you covered with our best ten sites where you can download movies and a fantastic tool to download them easier.

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Movie Mp4 Download


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First on our list is the My Download Tube, letting you watch and download the latest movies in high quality. This website has a lot of movies to offer for free. There is no need to register or log in to any of your accounts; you can start watching movies as you access the site. This is one of the popular sites with free mp4 movies for all. It is legal to watch movies with this kind of site, just like the other movie sites below.

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Another top movie download sites that you can have on any of your browsers is Download Free Full Movies. This site will let you search for your movie to watch; its interface may look complicated, but it is worth having when you want to watch movies anytime. You can watch the movie online, or you can also download it on your device. This site has various types of movies, TV series, and movie trailers.

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Although this movie site has a simple interface, it has a great search engine that will help you find any movies included in your movie lists. You have to input a keyword. A queue of related videos will be shown, including full movies, music videos, TV shows, and audio music. Their movies are produced in high quality to enjoy the movie alone or with your loved ones even if you are in your house.

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The fourth of the top movie download sites is the Worldfree4u, which offers incredible movie collections from Bollywood movies to Hollywood movies and many more that you can watch. This movie site also offers Hindi TV shows. When it comes to downloading, you can choose between downloading the movie directly on their site or using the download links and another tool to download it on your device.

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This site is more on the educational side, where you can find books and movies about history. With the Internet Archive, you can watch any movie with different topics and subjects. It also has a feature where you can share your thought or review about the movie you have watched on their site. This site has many old video clips and movies to offer, so if you are looking for old and classic movies. The Interner Archive is the perfect site you can look for.

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YouTube offers popular movies that you can buy or rent. Indeed those movies are hits and popular internationally. You can watch a lot of movies on YouTube. YouTube is functional in many ways. You can upload videos, create your channel, and make money if you have reached many people regularly watching your videos. You can make and upload any video, including vlogs, tutorials or song covers, and many more.

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If you want smooth streaming of movies, you have to go to the following movie site, the Ant Movies, which has MP4 movies free download. They have movies in high definition and even TV series from international channels. Ant Movies' movies aren't initially from them, but they are only hosting website links from other platforms to provide you the service efficiently.

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This site has MP4 free movie download with their 20+ categories of movies to watch; you can enjoy your rest days with their movies. Like the site itself, it has documentary films that you can refer to, especially if you are a student. You can learn a lot since it is designed as compilations of documentary films from the last scene and iconic moments from history. As a collection of documentary films, you must expect that this site is broad with fantastic visual effects and expressions.

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Also, one of the free MP4 movie download sites is the Movies Found Online, with the name itself talking about movies to stream or watch online. Their available films have English subtitles so that you can fully understand and enjoy the movie as expected. It provides quality and good service for its specialized function, giving you a movie streaming platform with good movies.

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As we all know, Netflix provides users with a broad type of award-winning movies, TV shows, documentaries, and many more different types and categories of videos. Since Netflix is the leading streaming entertainment in over 190 countries worldwide, Netflix is the trend for movies and series. Users can download Netflix movies for free for a month, and they have the option to continue with its monthly subscription plan after the 30-day free trial has ended. Moreover, this MP4 movies download website has over 150 million subscribers worldwide. With this kind of demand from the public, Netflix always makes sure that its movies are of ultra-high definition quality.

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AceThinker Video Keeper Pro is one of the most noticeable video downloaders that will help you download MP4 movies from the wide range of sources that Video Keeper Pro offers. This tool is functional because you can use it for video and audio downloading. Video Keeper also offers a feature where the tool can detect the video automatically and present a smart download button to download the movie on a specific site. Furthermore, it can download 8K videos or movies in MP4. With this ultra-HD quality, you can indeed watch your favorite movies offline in the most definitive version. We prepared detailed steps to guide you to download free MP4 movies on YouTube using Video Keeper Pro.

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You can simply use the download button above to install the AceThinker Video Keeper Pro on your device. It is available both for Windows and Mac users. With the paid version, you have the chance to download free cartoons movies for children without limitations. Launch the program once the tool has been completely installed on your computer.

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The next step is to open a web browser on your computer. Using this browser, access the official YouTube site. Here, search for the movie you would like to download and copy its link directly from the browser's address bar. Once done, switch back to Video Keeper Pro, paste the copied YouTube movie link into the URL field, and click "Enter" on your keyboard. Wait for a few seconds as the tool will analyze the link.

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Once the link has been analyzed, the YouTube movie is now ready to download. To start the download process, click "Download" and select the video resolutions you'd like to download the YouTube movie from the list of quality options. Once done choosing, simply hit the "Download" button beneath the quality options.

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After the YouTube movie reaches 100% download progress, you can jump into the "Video" section beneath the "Downloaded" panel. From here, you can right-click on the movie file name and select whether you want to play the downloaded Mp4 movie immediately or locate its destination folder.

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When a presentation plays as a movie, each slide appears for a uniform amount of time unless you set individual timings, or record the slide show to establish timing for the entire presentation. For more information about setting slide timings, see Rehearse and set slide timings.

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DOWNLOAD LINKS?×Highly Recommended! VLC or MX Player app to watch this video (no audio or video issues).
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This menu shows resolutions appropriate for movies based on commonly used video sizes (resolutions larger than that of your movie are dimmed). The exact resolution and data rate of an exported movie depend on the original.

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Although iTunes Movies app is replaced by the Apple TV app after macOS Catalina, it still holds every video you bought or rented on Windows OS or previous macOS. However, Apple locks down the media content with DRM and does not let you play iTunes movies on other operating systems. To watch such a video on your non-Apple TV, tablet, and smartphone, or make a DVD copy, converting iTunes movies to MP4 is taken as the most effective method.

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Apple employs M4V to contain videos files that are rented or purchased from the iTunes movie store with DRM restrictions. So how to convert iTunes Movies to MP4 involves M4V to MP4 conversion and DRM removal.

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This HD screen recorder is powerful to record large long movies without lagging and does not harm the original quality. Keeping this at your hand, you can convert any Apple TV content or iTunes movies to MP4 for free and enjoy them anywhere anytime.

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Step 3. Launch iTunes and play the film you bought on iTunes in full-screen mode. Hit the red button in VideoProc Converter, and it will start recording the iTunes movie in 5 seconds.

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Step 4. Play the video from the beginning when the recording starts. When the movie is over, stop VideoProc Converter, and it will save an MP4 recording for the DRM-protected movie on your computer.

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Hey Team. I'm running El Capitan 10.11.4, and I just finished an 11 minute movie project in iMovie 10.1.2. To export the project I went to the Share button, selected "File", saved it to Movies, and after it completed, I found my movie in the appropriate location, in .mp4 format.

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I tried to open the movie in QuickTime and it won't. QuickTime gives me a "converting" message and bar for a moment, and then the error message, "QuickTime player can't open moviename.mp4 To see if additional software is available that will enable QuickTime Player to open the movie, click Tell Me More." When I click Tell Me More, the Apple site says I'm likely out of date and need a third party converter.

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Alternative #1: In the share dialogue box, under Quality, try selecting Best (pro res). That will give you a movie with a .mov extension. It will take longer to share out, and the file size will be considerably larger, but quality should be better. See if Quicktime will play that.

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\ No newline at end of file diff --git a/spaces/cihyFjudo/fairness-paper-search/Orar autobuz 780 Gara de Nord Aeroport Otopeni traseu staii bilete i sfaturi utile.md b/spaces/cihyFjudo/fairness-paper-search/Orar autobuz 780 Gara de Nord Aeroport Otopeni traseu staii bilete i sfaturi utile.md deleted file mode 100644 index 5b7e84bca4dce39b68ea3c0c2c7552b8d3b1c241..0000000000000000000000000000000000000000 --- a/spaces/cihyFjudo/fairness-paper-search/Orar autobuz 780 Gara de Nord Aeroport Otopeni traseu staii bilete i sfaturi utile.md +++ /dev/null @@ -1,24 +0,0 @@ - -

În schimb s-a modificat orarul liniei 780 STB. Primul autobuz va pleca de la Gara Basarab la 05:15, iar ultimul va pleca la 22:55. De la Aeroportul Otopeni spre Gara Basarab, prima cursă pleacă la 05:35. Ultima legătură este la 23:10.

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orar autobuz 780 gara de nord aeroport otopeni


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Cand calatoriti dinspre Gara de Nord catre aeroport, exista un ghiseu de bilete exact in fata intrarii principale in gara (vedeti imaginile). Dupa ce ati cumparat biletele, traversati strada si langa trecerea de pietoni, in dreapta, se afla statia pentru autobuzul Expres 780. Harta

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Info: Intre Gara de Nord Bucuresti si Aeroportul Henri Coanda puteti de asemenea folosi autobuzul Expres 783 prin folosirea combinata a autobuzului si a metroului.
- De la Gara de Nord Bucuresti spre aeroport: folositi metroul M1 de la Gara de Nord la Piata Victoriei (1 statie in directia Dristor 2). Localizati iesirea catre Bd. Lascar Catargiu. Cand iesiti, exact in fata intrarii la metrou, se afla statia de autobuz pentru autobuzul Expres 783. Harta
- De la aeroport spre Gara de Nord Bucuresti: coborati din autobuz la Piata Victoriei. Intrarea la metrou se afla langa statia de autobuz. Folositi metroul M1 de la Piata Victoriei la Gara de nord (1 statie in directia Republica). Harta

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Reviziile bianuale la electromecanismele de macaz și la schimbătoarele de cale, prevăzute de reglementărilor feroviare, se vor desfășura în prima parte a zilei de marți, 4 octombrie 2022, între orele 09.35 - 13.00,în hm. Pajura și Mogoșoaia cu închiderea temporară a circulației feroviare pe relația București Nord - Pajura - Mogoșoaia - Aeroport.În acest context, călătorii sunt informați că pentru legătura directă spre și dinspre Aeroportul Internațional Henri Coandă (AIHC), Asociația de Dezvoltare Intercomunitară pentru Transport Public București - Ilfov redeschide linia 780 Gara Basarab - Aeroportul Internațional Henri Coandă (AIHB), pe care vor circula 4 autobuze, în intervalul orar 09.00 - 13.30, cu plecări de la Gara Basarab, respectiv AIHC, la un interval de succedare de 30 de minute:function adoceanICSlot300x250ap2invixinterscroller()ado.slave('adoceanicorprornqsgtonfx', myMaster: '9TiWy.BMkkq_UPsK7qKhfcVSggGNXB4R3ApNIZFshej.W7');

Menționăm faptul că, în intervalul orar necesar desfășurării lucrărilor feroviare, 09:35 - 13:00,CFR SA a solicitat celor doi operatori de transport feroviar de călători - CFR Călători și Transferoviar Călători - anularea a 12 curse, din cele 72 prevăzute în orarul zilnic de circulație pe relațiaBucurești Nord - Aeroport International Henri Coandă BucureștiT1, celelalte trenuri respectând programul de circulație stabilit în Mersul Trenurilor.Sursa foto: Vlad Ispas/ Shutterstock

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Asociaţia precizează că, în cazul în care circulaţia trenurilor între Gara de Nord şi Aeroportul Internaţional "Henri Coandă" va fi întreruptă, va dispune reluarea temporară a funcţionării liniei de autobuz 780.

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Atunci când se ia autobuzul 780 de la gara Gara de Nord la aeroportul Otopeni, rețineți că Gara de Nord nu este terminalul traseului de autobuz, prin urmare autobuzele 780 care trec pe la Gara de Nord intră de fapt din două direcții. Prin urmare, la Gara de Nord, pentru a lua 780 care vă va duce la aeroportul Otopeni, trebuie să ajungeți în stația autobuzului 780. Cel mai bine este să întrebați localnicii unde este exact stația de autobuz.

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Ma RATB ha ancora del lavoro da fare sulle 2 linee espresse. Sarebbe meglio ridurre il numero delle stazioni, almeno nell'area Băneasa-Otopeni, e potenziare gli autobus per queste tratte. Il display elettronico e gli annunci devono essere in rumeno e inglese. Le stazioni all'aeroporto, a Piazza Unirii e alla stazione ferroviaria di Basarab dovrebbero essere meglio segnalate, dovrebbero esserci display elettronici con orari, percorso e altre informazioni. Fai sapere al mondo che ci sono stazioni per le linee espresse 780 e 783, non cercare ipotesi. RATB fa le cose in ginocchio e in stile rumeno "lascia perdere così". Dovrebbe anche investire in qualità e finiture.

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buna asi avea si eu o intrebare ce autobuz, metrou sau tren asi putea sa iau din aeroportul otopeni ca sa ajung in autogara Militari; va rog daca puteti sami raspundeti datimi detalii nr de bus, M sau tren si statiile cum se numesc; va multumesc

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multumesc pt. promtitudinea cu care ai raspuns deasemenea si ptr. sfatul in sine. poate nu m-am exprimat corect, dar nu ma intereseza cum ajung din gara la aeroport ci invers, deci din otopeni la gara de nord. este vorba de sotia mea, care de multi ani nu a mai facut acest drum si ca atare nu este deloc in stiinta de cauza.

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- dupa ce face checkout-ul si iese cu bagajul din aeroport, in ce directie trebuie sa se indrepte ca sa gaseasca statia si autobuzul potrivit care o va duce la gara de nord si bineinteles unde isi poate cumpara biletul necesar.

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Se merge in parcarea aeroportului, care este foarte aproape si se gasesc taxiuri de la marile companii Cristaxi, Taxi 2000 cu pret de pana la 2 RON pe km (este afisat mare pe usa). De obicei aceste taxiuri apar in zona pentru ca au dus un client din Bucuresti si ca sa nu se intoarca gol accepta si negociere. Se mai verifica odata pretul si daca totul e ok - cam 40 RON pana la gara de nord ar trebui sa coste o calatorie = 20 km * 2 RON (chiar mai putin).

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Mă refer la cele două linii speciale de autobuz care ajung la Otopeni și înapoi: 783-ul de la Piața Unirii și 780 de la Gara de Nord cu care am mers de vreo 8 ori până acum spre și de la aeroport. Prețul unei călătorii este de 3,5 lei, iar în Otopeni există casă de unde poți cumpăra card activ sau îl poți încărca pe al tău.

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Vă cumpărați cu greu un card cu 3,5 lei pe el de la ghișeul din aeroport (totul e în română acolo), iar în autobuz poate vă ajută cineva să-l validați pentru încă o persoană, că poate ați venit cu soția sau colegul. Evident că instrucțiunile de validare sunt și ele doar în română, asta dacă nu le-a rupt cineva de pe peretele autobuzului.

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Nu toti strainii reusesc sa isi cumpere card de la ghiseu din aeroport. Am avut ocazia sa aflu ca unii i-au platit soferului calatoria. Deh, nemti, si cel putin in Berlin am vazut ca se poate lua bilet si de la sofer. Soferul probabil i-a taxat dupa cat de multi si de fraieri i-au parut la fata. Intai a fost un grup de trei tipi carora le-a mirosit ca e ceva in neregula dupa ce n-au primit nici un fel de dovada de plata in schimb, asa ca s-au apucat sa intrebe in jur. Si la cateva minute dupa a fost un cuplu. Cu portofelul jumulit si mai bine. Ei nu s-au prins decat dupa ce autobuzul s-a pus in miscare.

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Costul unui autobuz este de 150k euro nou. Tu sugerezi sa se cumpere 4-6 bucati minim special pentru aeroport.
Nu e normal ca si calatoria spre aeroport sa fie subventionata, sa ajuti calatorii sa ajunga la aeroport nu e un serviciu social.
Si acum sa facem socoteala, cat ar trebui sa fie biletul si ce trafic ar trebui sa fie pe aceste autobuze ca sa merite investitia?

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Sa ma laud si eu ca intr-un final au reusit s la Iasi sa bage autobuz care leaga aeroportul de centrul orasului?
Bine inteles nici ale noastre nu au aer conditionat, nu au suport de bagaje si bonus sunt si SH-uri care din cand in cand mai crapa, dar le-au luat cativa ani pana sa il bage.

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În comparație cu alte destinații, turistice sau altfel, Bucureștiul este deosebit - prin muzeele și galeriile sale, locurile istorice, prin oameni și prin atmosfera unică. Aeroportul Otopeni, aflat la o distanță de aproximativ 20 de km de nordul capitalei, este, încă din 1969, cel mai mare din oraș, aducând și cei mai mulți turiști dornici să descopere ceva nou. În 2004, numele aeroportul a fost schimbat în Henri Coandă, în onoarea aviatorului român.

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Având în vedere că luarea unui autobuz sau a unui taxi obișnuit în orașele europene, cu valizele în spate, este întotdeauna neplăcută și că, folosind transportul în comun, simțiți că mai mult vă îndepărtați de destinație decât să ajungeți acolo, merită să acordați mai multă atenție acestui aspect, transportul de la aeroport putând risipi o grămadă de timp prețios din concediu, delegație sau orice altceva. Alegeți serviciile Taxileader.net pentru a economisi timp și a călători în deplină siguranță!

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\ No newline at end of file diff --git a/spaces/cihyFjudo/fairness-paper-search/Robins Quest Download For Pc [License] Join the Merry Men and Fight for Justice.md b/spaces/cihyFjudo/fairness-paper-search/Robins Quest Download For Pc [License] Join the Merry Men and Fight for Justice.md deleted file mode 100644 index c0c08f461f67ac6fc2a751b9d6e5a31072385d78..0000000000000000000000000000000000000000 --- a/spaces/cihyFjudo/fairness-paper-search/Robins Quest Download For Pc [License] Join the Merry Men and Fight for Justice.md +++ /dev/null @@ -1,6 +0,0 @@ -

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diff --git a/spaces/cihyFjudo/fairness-paper-search/The Guitar Pickup Handbook PDF Master the Art of Pickups and Transform Your Sound.md b/spaces/cihyFjudo/fairness-paper-search/The Guitar Pickup Handbook PDF Master the Art of Pickups and Transform Your Sound.md deleted file mode 100644 index 8bab4255611febf85c45c5eb5db7d6a46869e84f..0000000000000000000000000000000000000000 --- a/spaces/cihyFjudo/fairness-paper-search/The Guitar Pickup Handbook PDF Master the Art of Pickups and Transform Your Sound.md +++ /dev/null @@ -1,13 +0,0 @@ - -

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\ No newline at end of file diff --git a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/misc/macCreatorType.py b/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/misc/macCreatorType.py deleted file mode 100644 index 36b15aca51c564c7a9c05ebfcff8f17925ec1630..0000000000000000000000000000000000000000 --- a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/misc/macCreatorType.py +++ /dev/null @@ -1,56 +0,0 @@ -from fontTools.misc.textTools import Tag, bytesjoin, strjoin - -try: - import xattr -except ImportError: - xattr = None - - -def _reverseString(s): - s = list(s) - s.reverse() - return strjoin(s) - - -def getMacCreatorAndType(path): - """Returns file creator and file type codes for a path. - - Args: - path (str): A file path. - - Returns: - A tuple of two :py:class:`fontTools.textTools.Tag` objects, the first - representing the file creator and the second representing the - file type. - """ - if xattr is not None: - try: - finderInfo = xattr.getxattr(path, "com.apple.FinderInfo") - except (KeyError, IOError): - pass - else: - fileType = Tag(finderInfo[:4]) - fileCreator = Tag(finderInfo[4:8]) - return fileCreator, fileType - return None, None - - -def setMacCreatorAndType(path, fileCreator, fileType): - """Set file creator and file type codes for a path. - - Note that if the ``xattr`` module is not installed, no action is - taken but no error is raised. - - Args: - path (str): A file path. - fileCreator: A four-character file creator tag. - fileType: A four-character file type tag. - - """ - if xattr is not None: - from fontTools.misc.textTools import pad - - if not all(len(s) == 4 for s in (fileCreator, fileType)): - raise TypeError("arg must be string of 4 chars") - finderInfo = pad(bytesjoin([fileType, fileCreator]), 32) - xattr.setxattr(path, "com.apple.FinderInfo", finderInfo) diff --git a/spaces/codeparrot/code-generation-models/evaluation/problem.md b/spaces/codeparrot/code-generation-models/evaluation/problem.md deleted file mode 100644 index 412ab7bcebca813861b91a9c3340efea7b5f6986..0000000000000000000000000000000000000000 --- a/spaces/codeparrot/code-generation-models/evaluation/problem.md +++ /dev/null @@ -1,9 +0,0 @@ -def truncate_number(number: float) -> float: - """ Given a positive floating point number, it can be decomposed into - and integer part (largest integer smaller than given number) and decimals - (leftover part always smaller than 1). - Return the decimal part of the number. - >>> truncate_number(3.5) - 0.5 - """ - \ No newline at end of file diff --git a/spaces/congsaPfin/Manga-OCR/logs/Countries APK A Game that Makes Learning about the World Fun and Easy.md b/spaces/congsaPfin/Manga-OCR/logs/Countries APK A Game that Makes Learning about the World Fun and Easy.md deleted file mode 100644 index f1ad31f4b334591e3407709135a85df4d95cffd5..0000000000000000000000000000000000000000 --- a/spaces/congsaPfin/Manga-OCR/logs/Countries APK A Game that Makes Learning about the World Fun and Easy.md +++ /dev/null @@ -1,107 +0,0 @@ -
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Do you love learning about different countries and cultures? Do you want to explore the world map and discover new facts and trivia? If so, you might be interested in Countries APK, a fun and educational app that lets you do all that and more. But what is Countries APK and how can you use it? In this article, we will explain everything you need to know about this app, from what an APK file is, to how to download and install it, to how to use its features. Let's get started!

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What Is an APK File?

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An APK file is a type of file that contains the installation package of an Android app. APK stands for Android Package Kit, and it is the format that Android uses to distribute and install apps. You can think of an APK file as a zip file that contains all the files and resources that an app needs to run on your device.

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One of the main benefits of APK files is that they allow you to access apps that are not available on the Google Play Store. This could be because the app is not compatible with your device, or because it is restricted in your region, or because it is not approved by Google for some reason. By downloading the APK file from a trusted source, you can bypass these limitations and enjoy the app on your device.

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The Risks of APK Files

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However, APK files also come with some risks. Since they are not verified by Google, they could contain malware or viruses that could harm your device or compromise your privacy. Therefore, you should always be careful when downloading and installing APK files from unknown sources. You should only download them from reputable websites or developers, and scan them with a reliable antivirus software before opening them.

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What Is Countries APK?

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Countries APK is an app that allows you to learn about different countries and regions around the world. It is designed for both adults and children who are interested in geography, history, culture, and languages. With this app, you can explore the world map, zoom in and out, tap on any country to see its flag, capital, population, area, currency, languages, and more. You can also take quizzes and test your knowledge of various topics related to countries.

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Some of the features that Countries APK offers are:

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To use Countries APK, you need to have an Android device that runs on Android 4.4 or higher. You also need to have at least 50 MB of free storage space on your device. The app is free to download and use, but it contains ads that can be removed by purchasing the premium version.

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How to Download and Install Countries APK

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If you want to download and install Countries APK on your device, you need to follow these steps:

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Step 1: Enable Unknown Sources

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Next, you need to download the APK file of Countries APK from a trusted source. You can use your browser to search for the app's name and find a website that offers the download link. Alternatively, you can use this link to download the APK file directly. Once you find the download link, tap on it and wait for the file to be downloaded to your device. You might see a notification that shows the progress of the download.

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Step 3: Install the APK File

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Once the download is complete, you need to install the APK file on your device. You can do this by tapping on the notification that says the file is ready to be installed, or by using a file manager app to locate the file in your downloads folder. Then, tap on the file and follow the instructions on the screen to complete the installation. You might see a prompt that asks you for permission to access certain features or data on your device. Tap on Install or Allow to grant the permission.

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How to Use Countries APK

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After you have successfully installed Countries APK on your device, you can start using it to learn about different countries and regions around the world. Here are some of the things you can do with this app:

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The main screen of the app shows you a world map that you can zoom in and out by pinching or double-tapping on the screen. You can also drag your finger to move around the map and see different areas. You can tap on any country to see its name, flag, and capital. If you want to see more information about a country, tap on the arrow icon at the bottom of the screen. This will take you to a new screen that shows you various details about that country, such as its population, area, currency, languages, etc.

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Learn About Different Countries

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The app also provides you with a lot of interesting facts and trivia about different countries and regions. You can access these by tapping on the menu icon at the top left corner of the screen and selecting Facts. This will show you a list of categories that you can choose from, such as Geography, History, Culture, etc. Tap on any category to see a random fact related to that topic. You can also swipe left or right to see more facts in that category.

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Take Quizzes and Test Your Knowledge

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If you want to test your knowledge of different countries and regions, you can take quizzes and challenge yourself with various questions. To do this, tap on the menu icon at the top left corner of the screen and select Quiz. This will show you a list of categories that you can choose from, such as Flags, Capitals, Continents, etc. Tap on any category to start a quiz in that topic. You will see a question and four possible answers on the screen. Tap on the answer that you think is correct before the time runs out. You will get points for each correct answer and lose points for each wrong answer. At the end of the quiz, you will see your score and rank compared to other users around the world.

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Conclusion

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Countries APK is a great app for anyone who loves learning about different countries and cultures around the world. It is easy to download and install, and it offers a lot of features and information that will keep you entertained and educated. You can explore the world map, learn about different countries, take quizzes and test your knowledge, and more with this app. If you are looking for a fun and educational app that will help you discover new things about the world, you should definitely try Countries APK.

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Frequently Asked Questions

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\ No newline at end of file diff --git a/spaces/congsaPfin/Manga-OCR/logs/Enjoy Rope Hero Vice Town with Mod APK 7.0 1 - Unlimited Money Skins Weapons and More.md b/spaces/congsaPfin/Manga-OCR/logs/Enjoy Rope Hero Vice Town with Mod APK 7.0 1 - Unlimited Money Skins Weapons and More.md deleted file mode 100644 index afaa1af270f0c4b0967b43d00918daacd1eb41dc..0000000000000000000000000000000000000000 --- a/spaces/congsaPfin/Manga-OCR/logs/Enjoy Rope Hero Vice Town with Mod APK 7.0 1 - Unlimited Money Skins Weapons and More.md +++ /dev/null @@ -1,95 +0,0 @@ -
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\ No newline at end of file diff --git a/spaces/congsaPfin/Manga-OCR/logs/My Talking Tom MOD APK Feed Dress and Play with Your Virtual Cat.md b/spaces/congsaPfin/Manga-OCR/logs/My Talking Tom MOD APK Feed Dress and Play with Your Virtual Cat.md deleted file mode 100644 index d991d8aeec63351fe3f8b3663b488a421eba6a95..0000000000000000000000000000000000000000 --- a/spaces/congsaPfin/Manga-OCR/logs/My Talking Tom MOD APK Feed Dress and Play with Your Virtual Cat.md +++ /dev/null @@ -1,124 +0,0 @@ - -

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One of the best features of My Talking Tom Mod APK is that it allows you to customize and personalize your pet according to your preferences. You can choose from hundreds of different outfits, hats, glasses, shoes, and other accessories to dress up your pet. You can also change the color of his fur, eyes, and ears. You can even give him a name and a birthday. You can make your pet look unique and express your style.

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Mini-games and activities

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My Talking Tom Mod APK also offers many mini-games and activities that you can play with your pet. You can play games like Flappy Tom, Bubble Shooter, Brick Blast, and more to earn coins and rewards. You can also take your pet to the bathroom, wash him, brush his teeth, put him to bed, or take him to the doctor if he gets sick. You can also travel with your pet to different locations like Paris, Hawaii, or China.

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Social interaction and sharing

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Another feature of My Talking Tom Mod APK is that it allows you to interact with other players who also have the game. You can visit their pets, chat with them, send them gifts, or challenge them to mini-games. You can also share your pet's photos and videos on social media platforms like Facebook, Instagram, or YouTube. You can show off your pet's personality and achievements to your friends and followers.

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How to download and install My Talking Tom Mod APK?

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If you want to download and install My Talking Tom Mod APK on your Android device, you need to follow these steps:

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Requirements

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Steps

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  1. Go to a trusted website that provides the download link for My Talking Tom Mod APK, such as [APKPure] or [APKDone].
    2. -
  2. Click on the download button and wait for the mod apk file to be downloaded on your device.
    3. -
  3. Locate the mod apk file on your device's file manager and tap on it to start the installation process.
    4. -
  4. Follow the instructions on the screen and grant the necessary permissions to the app.
    5. -
  5. Wait for the installation to be completed and then launch the app from your home screen or app drawer.
    6. -
  6. Enjoy playing My Talking Tom Mod APK with unlimited money and coins, private server, customization and personalization, mini-games and activities, and social interaction and sharing.
    7. -
-

Pros and cons of My Talking Tom Mod APK

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My Talking Tom Mod APK has many advantages and disadvantages that you should consider before downloading and installing it. Here are some of them:

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Pros

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Cons

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Conclusion

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My Talking Tom Mod APK is a fun and interactive virtual pet game that lets you adopt, care for, and interact with a cute and funny cat named Tom. You can talk to him, play with him, feed him, dress him, and watch him grow. You can also enjoy unlimited money and coins, private server, customization and personalization, mini-games and activities, and social interaction and sharing. However, you should also be aware of the pros and cons of My Talking Tom Mod APK before downloading and installing it. You should also make sure that you download it from a reliable source and follow the steps carefully. If you love cats and want to have a virtual pet that can talk, play, and grow with you, then you should try My Talking Tom Mod APK today!

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FAQs

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Here are some frequently asked questions about My Talking Tom Mod APK:

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    -
  1. What is the difference between My Talking Tom Mod APK and My Talking Tom 2?
    2. -

    My Talking Tom 2 is the sequel to My Talking Tom, which was released in 2018. It has more features, such as a new pet called Ben, a plane that can take Tom to different destinations, a toy box that contains various items, a medicine cabinet that can heal Tom's injuries, and more. However, My Talking Tom Mod APK is based on the original My Talking Tom game, which was released in 2013. It has fewer features than My Talking Tom 2, but it has unlimited money and coins, private server, customization and personalization, mini-games and activities, and social interaction and sharing.

    -
  2. Is My Talking Tom Mod APK safe to download?
    3. -

    My Talking Tom Mod APK is safe to download if you download it from a trusted website that provides the original mod apk file without any viruses or malware. However, you should also be careful about allowing installation of apps from unknown sources on your device settings, as this may expose your device to potential risks. You should also scan the mod apk file with an antivirus app before installing it.

    Here are some more frequently asked questions about My Talking Tom Mod APK:

    -
  3. Can I play My Talking Tom Mod APK with my friends?
    4. -

    Yes, you can play My Talking Tom Mod APK with your friends who also have the game. You can visit their pets, chat with them, send them gifts, or challenge them to mini-games. You can also share your pet's photos and videos on social media platforms like Facebook, Instagram, or YouTube. You can show off your pet's personality and achievements to your friends and followers.

    -
  4. How can I update My Talking Tom Mod APK?
    5. -

    My Talking Tom Mod APK may not be updated regularly or may not have the latest features of the original game. If you want to update My Talking Tom Mod APK, you need to download the latest mod apk file from a reliable source and install it on your device. You may need to uninstall the previous version of the game before installing the new one. You should also backup your game data before updating, as you may lose your progress or coins.

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  5. What are some alternatives to My Talking Tom Mod APK?
    6. -

    If you are looking for some alternatives to My Talking Tom Mod APK, you can try these games:

    -
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    • My Talking Angela: This is a similar game to My Talking Tom, but with a female cat named Angela. You can adopt her as your virtual pet, feed her, dress her, play with her, and watch her grow. You can also talk to her and she will repeat what you say in a cute voice. You can also download My Talking Angela Mod APK for unlimited money and coins, private server, customization and personalization, mini-games and activities, and social interaction and sharing.
      • -
    • My Talking Hank: This is another similar game to My Talking Tom, but with a dog named Hank. You can adopt him as your virtual pet, feed him, dress him, play with him, and watch him grow. You can also talk to him and he will repeat what you say in a funny voice. You can also download My Talking Hank Mod APK for unlimited money and coins, private server, customization and personalization, mini-games and activities, and social interaction and sharing.
      • -
    • Talking Tom Gold Run: This is a different game from My Talking Tom, but with the same character. This is an endless runner game where you have to help Tom chase after a robber who stole his gold. You have to run, jump, slide, and dodge obstacles along the way. You can also collect gold bars and unlock new characters, outfits, and worlds. You can also download Talking Tom Gold Run Mod APK for unlimited money and coins, private server, customization and personalization, mini-games and activities, and social interaction and sharing.
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    \ No newline at end of file diff --git a/spaces/contluForse/HuggingGPT/assets/FS2004 - DANIEL CHIRCOP - MALTA INTL Airport Experience the Beauty of the Mediterranean with this Add-on.md b/spaces/contluForse/HuggingGPT/assets/FS2004 - DANIEL CHIRCOP - MALTA INTL Airport Experience the Beauty of the Mediterranean with this Add-on.md deleted file mode 100644 index a30b05e3b5a334372eced8638ef8ecbf92cad888..0000000000000000000000000000000000000000 --- a/spaces/contluForse/HuggingGPT/assets/FS2004 - DANIEL CHIRCOP - MALTA INTL Airport Experience the Beauty of the Mediterranean with this Add-on.md +++ /dev/null @@ -1,6 +0,0 @@ -

    FS2004 - DANIEL CHIRCOP - MALTA INTL Airport


    DOWNLOAD • https://ssurll.com/2uzy14



    - - aaccfb2cb3
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    diff --git a/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/uniformer/mmseg/core/evaluation/class_names.py b/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/uniformer/mmseg/core/evaluation/class_names.py deleted file mode 100644 index ffae816cf980ce4b03e491cc0c4298cb823797e6..0000000000000000000000000000000000000000 --- a/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/uniformer/mmseg/core/evaluation/class_names.py +++ /dev/null @@ -1,152 +0,0 @@ -import annotator.uniformer.mmcv as mmcv - - -def cityscapes_classes(): - """Cityscapes class names for external use.""" - return [ - 'road', 'sidewalk', 'building', 'wall', 'fence', 'pole', - 'traffic light', 'traffic sign', 'vegetation', 'terrain', 'sky', - 'person', 'rider', 'car', 'truck', 'bus', 'train', 'motorcycle', - 'bicycle' - ] - - -def ade_classes(): - """ADE20K class names for external use.""" - return [ - 'wall', 'building', 'sky', 'floor', 'tree', 'ceiling', 'road', 'bed ', - 'windowpane', 'grass', 'cabinet', 'sidewalk', 'person', 'earth', - 'door', 'table', 'mountain', 'plant', 'curtain', 'chair', 'car', - 'water', 'painting', 'sofa', 'shelf', 'house', 'sea', 'mirror', 'rug', - 'field', 'armchair', 'seat', 'fence', 'desk', 'rock', 'wardrobe', - 'lamp', 'bathtub', 'railing', 'cushion', 'base', 'box', 'column', - 'signboard', 'chest of drawers', 'counter', 'sand', 'sink', - 'skyscraper', 'fireplace', 'refrigerator', 'grandstand', 'path', - 'stairs', 'runway', 'case', 'pool table', 'pillow', 'screen door', - 'stairway', 'river', 'bridge', 'bookcase', 'blind', 'coffee table', - 'toilet', 'flower', 'book', 'hill', 'bench', 'countertop', 'stove', - 'palm', 'kitchen island', 'computer', 'swivel chair', 'boat', 'bar', - 'arcade machine', 'hovel', 'bus', 'towel', 'light', 'truck', 'tower', - 'chandelier', 'awning', 'streetlight', 'booth', 'television receiver', - 'airplane', 'dirt track', 'apparel', 'pole', 'land', 'bannister', - 'escalator', 'ottoman', 'bottle', 'buffet', 'poster', 'stage', 'van', - 'ship', 'fountain', 'conveyer belt', 'canopy', 'washer', 'plaything', - 'swimming pool', 'stool', 'barrel', 'basket', 'waterfall', 'tent', - 'bag', 'minibike', 'cradle', 'oven', 'ball', 'food', 'step', 'tank', - 'trade name', 'microwave', 'pot', 'animal', 'bicycle', 'lake', - 'dishwasher', 'screen', 'blanket', 'sculpture', 'hood', 'sconce', - 'vase', 'traffic light', 'tray', 'ashcan', 'fan', 'pier', 'crt screen', - 'plate', 'monitor', 'bulletin board', 'shower', 'radiator', 'glass', - 'clock', 'flag' - ] - - -def voc_classes(): - """Pascal VOC class names for external use.""" - return [ - 'background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', - 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog', 'horse', - 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', - 'tvmonitor' - ] - - -def cityscapes_palette(): - """Cityscapes palette for external use.""" - return [[128, 64, 128], [244, 35, 232], [70, 70, 70], [102, 102, 156], - [190, 153, 153], [153, 153, 153], [250, 170, 30], [220, 220, 0], - [107, 142, 35], [152, 251, 152], [70, 130, 180], [220, 20, 60], - [255, 0, 0], [0, 0, 142], [0, 0, 70], [0, 60, 100], [0, 80, 100], - [0, 0, 230], [119, 11, 32]] - - -def ade_palette(): - """ADE20K palette for external use.""" - return [[120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50], - [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255], - [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7], - [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82], - [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3], - [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255], - [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220], - [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224], - [255, 184, 6], [10, 255, 71], [255, 41, 10], [7, 255, 255], - [224, 255, 8], [102, 8, 255], [255, 61, 6], [255, 194, 7], - [255, 122, 8], [0, 255, 20], [255, 8, 41], [255, 5, 153], - [6, 51, 255], [235, 12, 255], [160, 150, 20], [0, 163, 255], - [140, 140, 140], [250, 10, 15], [20, 255, 0], [31, 255, 0], - [255, 31, 0], [255, 224, 0], [153, 255, 0], [0, 0, 255], - [255, 71, 0], [0, 235, 255], [0, 173, 255], [31, 0, 255], - [11, 200, 200], [255, 82, 0], [0, 255, 245], [0, 61, 255], - [0, 255, 112], [0, 255, 133], [255, 0, 0], [255, 163, 0], - [255, 102, 0], [194, 255, 0], [0, 143, 255], [51, 255, 0], - [0, 82, 255], [0, 255, 41], [0, 255, 173], [10, 0, 255], - [173, 255, 0], [0, 255, 153], [255, 92, 0], [255, 0, 255], - [255, 0, 245], [255, 0, 102], [255, 173, 0], [255, 0, 20], - [255, 184, 184], [0, 31, 255], [0, 255, 61], [0, 71, 255], - [255, 0, 204], [0, 255, 194], [0, 255, 82], [0, 10, 255], - [0, 112, 255], [51, 0, 255], [0, 194, 255], [0, 122, 255], - [0, 255, 163], [255, 153, 0], [0, 255, 10], [255, 112, 0], - [143, 255, 0], [82, 0, 255], [163, 255, 0], [255, 235, 0], - [8, 184, 170], [133, 0, 255], [0, 255, 92], [184, 0, 255], - [255, 0, 31], [0, 184, 255], [0, 214, 255], [255, 0, 112], - [92, 255, 0], [0, 224, 255], [112, 224, 255], [70, 184, 160], - [163, 0, 255], [153, 0, 255], [71, 255, 0], [255, 0, 163], - [255, 204, 0], [255, 0, 143], [0, 255, 235], [133, 255, 0], - [255, 0, 235], [245, 0, 255], [255, 0, 122], [255, 245, 0], - [10, 190, 212], [214, 255, 0], [0, 204, 255], [20, 0, 255], - [255, 255, 0], [0, 153, 255], [0, 41, 255], [0, 255, 204], - [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255], - [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255], - [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194], - [102, 255, 0], [92, 0, 255]] - - -def voc_palette(): - """Pascal VOC palette for external use.""" - return [[0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0], [0, 0, 128], - [128, 0, 128], [0, 128, 128], [128, 128, 128], [64, 0, 0], - [192, 0, 0], [64, 128, 0], [192, 128, 0], [64, 0, 128], - [192, 0, 128], [64, 128, 128], [192, 128, 128], [0, 64, 0], - [128, 64, 0], [0, 192, 0], [128, 192, 0], [0, 64, 128]] - - -dataset_aliases = { - 'cityscapes': ['cityscapes'], - 'ade': ['ade', 'ade20k'], - 'voc': ['voc', 'pascal_voc', 'voc12', 'voc12aug'] -} - - -def get_classes(dataset): - """Get class names of a dataset.""" - alias2name = {} - for name, aliases in dataset_aliases.items(): - for alias in aliases: - alias2name[alias] = name - - if mmcv.is_str(dataset): - if dataset in alias2name: - labels = eval(alias2name[dataset] + '_classes()') - else: - raise ValueError(f'Unrecognized dataset: {dataset}') - else: - raise TypeError(f'dataset must a str, but got {type(dataset)}') - return labels - - -def get_palette(dataset): - """Get class palette (RGB) of a dataset.""" - alias2name = {} - for name, aliases in dataset_aliases.items(): - for alias in aliases: - alias2name[alias] = name - - if mmcv.is_str(dataset): - if dataset in alias2name: - labels = eval(alias2name[dataset] + '_palette()') - else: - raise ValueError(f'Unrecognized dataset: {dataset}') - else: - raise TypeError(f'dataset must a str, but got {type(dataset)}') - return labels diff --git a/spaces/course-demos/distilbert-base-uncased-finetuned-imdb/README.md b/spaces/course-demos/distilbert-base-uncased-finetuned-imdb/README.md deleted file mode 100644 index ad0a39757523d6b397ca96c1b1d1fac16a4fa53c..0000000000000000000000000000000000000000 --- a/spaces/course-demos/distilbert-base-uncased-finetuned-imdb/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Distilbert Base Uncased Finetuned Imdb -emoji: 👀 -colorFrom: indigo -colorTo: gray -sdk: gradio -sdk_version: 3.0 -app_file: app.py -pinned: false -license: afl-3.0 ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference diff --git a/spaces/cownclown/Image-and-3D-Model-Creator/PIFu/scripts/download_trained_model.sh b/spaces/cownclown/Image-and-3D-Model-Creator/PIFu/scripts/download_trained_model.sh deleted file mode 100644 index c652f2c666dc48ff1e2e7a94d559e925ac058dec..0000000000000000000000000000000000000000 --- a/spaces/cownclown/Image-and-3D-Model-Creator/PIFu/scripts/download_trained_model.sh +++ /dev/null @@ -1,7 +0,0 @@ -set -ex - -mkdir -p checkpoints -cd checkpoints -wget "https://drive.google.com/uc?export=download&id=1zEmVXG2VHy0MMzngcRshB4D8Sr_oLHsm" -O net_G -wget "https://drive.google.com/uc?export=download&id=1V83B6GDIjYMfHdpg-KcCSAPgHxpafHgd" -O net_C -cd .. \ No newline at end of file diff --git a/spaces/cybercorejapan/human-detection-docker/models/base/trt_base.py b/spaces/cybercorejapan/human-detection-docker/models/base/trt_base.py deleted file mode 100644 index ea7b2c3ebbd392f294a2fc9db802d175206a1f48..0000000000000000000000000000000000000000 --- a/spaces/cybercorejapan/human-detection-docker/models/base/trt_base.py +++ /dev/null @@ -1,96 +0,0 @@ - -from typing import Tuple, Dict,List -import tensorrt as trt -import numpy as np -import torch -import time -import os -from collections import OrderedDict, namedtuple - -class TRT_Base(): - def __init__(self, - input_shape: Tuple[int, int, int], - model_path: str, - device: str='0'): - """ Tensor RT base class for inference. - - Args: - input_shape (Tuple[int, int, int]): image size (3, H, W) - model_path (str): path to the model.trt - device (str, optional): CUDA device. Defaults to '0'. - """ - self.input_shape = input_shape - self.model_path = model_path - self.device = self.select_device(device) - self.init_model() - - def select_device(self, device: str)->torch.device: - """ Select device to be used for inference. - Args: - param device: 'cpu' or '0' or '0,1,2,3' - Return: - torch.device - """ - cpu = device.lower() == "cpu" - if cpu: - os.environ['CUDA_VISIBLE_DEVICES'] = '-1' - return torch.device("cpu") - else: - assert torch.cuda.is_available(), f'CUDA unavailable, invalid device {device} requested' - torch.cuda.set_device(int(device)) - return torch.device("cuda") - - def init_model(self): - """ Initialize TensorRT engine and context.""" - logger = trt.Logger(trt.Logger.INFO) - trt.init_libnvinfer_plugins(logger, namespace="") - with open(self.model_path, 'rb') as f, trt.Runtime(logger) as runtime: - engine = runtime.deserialize_cuda_engine(f.read()) - context = engine.create_execution_context() - self.model = { - "engine": engine, - "context": context - } - bindings, binding_addrs = self.get_bindings(input_shape=self.input_shape) - input_names = [binding_name for binding_name in binding_addrs.keys() if (self.model["engine"].binding_is_input(binding_name))] - - for _ in range(10): - for name in input_names: - binding_addrs[name] = int(torch.randn(bindings[name].shape).to(self.device).data_ptr()) - context.execute_v2(list(binding_addrs.values())) - self.model.update({ - 'binding_addrs': binding_addrs, - 'bindings': bindings, - 'rt_shapes': self.input_shape - }) - - def get_bindings(self, input_shape: Tuple[int, int, int]): - """ Get bindings and binding addresses for TensorRT engine. - Args: - input_shape (Tuple[int, int, int]): image size (3, H, W) - """ - self.model["context"].set_binding_shape(0, input_shape) - bindings = OrderedDict() - Binding = namedtuple('Binding', ('name', 'dtype', 'shape', 'data', 'ptr')) - for index in range(self.model["engine"].num_bindings): - name = self.model["engine"].get_binding_name(index) - dtype = trt.nptype(self.model["engine"].get_binding_dtype(index)) - shape = tuple(self.model["context"].get_binding_shape(index)) - data = torch.from_numpy(np.empty(shape, dtype=np.dtype(dtype))).to(self.device) - bindings[name] = Binding(name, dtype, shape, data, int(data.data_ptr())) - binding_addrs = OrderedDict((n, d.ptr) for n, d in bindings.items()) - return bindings, binding_addrs - - def change_runtime_dimension(self, input_shape: Tuple[int, int, int]): - """ Support inference with Dynamic shape. - - Args: - input_shape (Tuple[int, int, int]): image size (3, H, W) - """ - if (input_shape == self.model["rt_shapes"]): return - bindings, binding_addrs = self.get_bindings(input_shape) - self.model['binding_addrs'] = binding_addrs - self.model['bindings'] = bindings - self.model['rt_shapes'] = input_shape - - \ No newline at end of file diff --git a/spaces/daddyjin/TalkingFaceGeneration/Demo_TFR_Pirenderer/src/face3d/util/visualizer.py b/spaces/daddyjin/TalkingFaceGeneration/Demo_TFR_Pirenderer/src/face3d/util/visualizer.py deleted file mode 100644 index 4023a6d4086acba9bc88e079f625194d324d7c9e..0000000000000000000000000000000000000000 --- a/spaces/daddyjin/TalkingFaceGeneration/Demo_TFR_Pirenderer/src/face3d/util/visualizer.py +++ /dev/null @@ -1,227 +0,0 @@ -"""This script defines the visualizer for Deep3DFaceRecon_pytorch -""" - -import numpy as np -import os -import sys -import ntpath -import time -from . import util, html -from subprocess import Popen, PIPE -from torch.utils.tensorboard import SummaryWriter - -def save_images(webpage, visuals, image_path, aspect_ratio=1.0, width=256): - """Save images to the disk. - - Parameters: - webpage (the HTML class) -- the HTML webpage class that stores these imaegs (see html.py for more details) - visuals (OrderedDict) -- an ordered dictionary that stores (name, images (either tensor or numpy) ) pairs - image_path (str) -- the string is used to create image paths - aspect_ratio (float) -- the aspect ratio of saved images - width (int) -- the images will be resized to width x width - - This function will save images stored in 'visuals' to the HTML file specified by 'webpage'. - """ - image_dir = webpage.get_image_dir() - short_path = ntpath.basename(image_path[0]) - name = os.path.splitext(short_path)[0] - - webpage.add_header(name) - ims, txts, links = [], [], [] - - for label, im_data in visuals.items(): - im = util.tensor2im(im_data) - image_name = '%s/%s.png' % (label, name) - os.makedirs(os.path.join(image_dir, label), exist_ok=True) - save_path = os.path.join(image_dir, image_name) - util.save_image(im, save_path, aspect_ratio=aspect_ratio) - ims.append(image_name) - txts.append(label) - links.append(image_name) - webpage.add_images(ims, txts, links, width=width) - - -class Visualizer(): - """This class includes several functions that can display/save images and print/save logging information. - - It uses a Python library tensprboardX for display, and a Python library 'dominate' (wrapped in 'HTML') for creating HTML files with images. - """ - - def __init__(self, opt): - """Initialize the Visualizer class - - Parameters: - opt -- stores all the experiment flags; needs to be a subclass of BaseOptions - Step 1: Cache the training/test options - Step 2: create a tensorboard writer - Step 3: create an HTML object for saveing HTML filters - Step 4: create a logging file to store training losses - """ - self.opt = opt # cache the option - self.use_html = opt.isTrain and not opt.no_html - self.writer = SummaryWriter(os.path.join(opt.checkpoints_dir, 'logs', opt.name)) - self.win_size = opt.display_winsize - self.name = opt.name - self.saved = False - if self.use_html: # create an HTML object at /web/; images will be saved under /web/images/ - self.web_dir = os.path.join(opt.checkpoints_dir, opt.name, 'web') - self.img_dir = os.path.join(self.web_dir, 'images') - print('create web directory %s...' % self.web_dir) - util.mkdirs([self.web_dir, self.img_dir]) - # create a logging file to store training losses - self.log_name = os.path.join(opt.checkpoints_dir, opt.name, 'loss_log.txt') - with open(self.log_name, "a") as log_file: - now = time.strftime("%c") - log_file.write('================ Training Loss (%s) ================\n' % now) - - def reset(self): - """Reset the self.saved status""" - self.saved = False - - - def display_current_results(self, visuals, total_iters, epoch, save_result): - """Display current results on tensorboad; save current results to an HTML file. - - Parameters: - visuals (OrderedDict) - - dictionary of images to display or save - total_iters (int) -- total iterations - epoch (int) - - the current epoch - save_result (bool) - - if save the current results to an HTML file - """ - for label, image in visuals.items(): - self.writer.add_image(label, util.tensor2im(image), total_iters, dataformats='HWC') - - if self.use_html and (save_result or not self.saved): # save images to an HTML file if they haven't been saved. - self.saved = True - # save images to the disk - for label, image in visuals.items(): - image_numpy = util.tensor2im(image) - img_path = os.path.join(self.img_dir, 'epoch%.3d_%s.png' % (epoch, label)) - util.save_image(image_numpy, img_path) - - # update website - webpage = html.HTML(self.web_dir, 'Experiment name = %s' % self.name, refresh=0) - for n in range(epoch, 0, -1): - webpage.add_header('epoch [%d]' % n) - ims, txts, links = [], [], [] - - for label, image_numpy in visuals.items(): - image_numpy = util.tensor2im(image) - img_path = 'epoch%.3d_%s.png' % (n, label) - ims.append(img_path) - txts.append(label) - links.append(img_path) - webpage.add_images(ims, txts, links, width=self.win_size) - webpage.save() - - def plot_current_losses(self, total_iters, losses): - # G_loss_collection = {} - # D_loss_collection = {} - # for name, value in losses.items(): - # if 'G' in name or 'NCE' in name or 'idt' in name: - # G_loss_collection[name] = value - # else: - # D_loss_collection[name] = value - # self.writer.add_scalars('G_collec', G_loss_collection, total_iters) - # self.writer.add_scalars('D_collec', D_loss_collection, total_iters) - for name, value in losses.items(): - self.writer.add_scalar(name, value, total_iters) - - # losses: same format as |losses| of plot_current_losses - def print_current_losses(self, epoch, iters, losses, t_comp, t_data): - """print current losses on console; also save the losses to the disk - - Parameters: - epoch (int) -- current epoch - iters (int) -- current training iteration during this epoch (reset to 0 at the end of every epoch) - losses (OrderedDict) -- training losses stored in the format of (name, float) pairs - t_comp (float) -- computational time per data point (normalized by batch_size) - t_data (float) -- data loading time per data point (normalized by batch_size) - """ - message = '(epoch: %d, iters: %d, time: %.3f, data: %.3f) ' % (epoch, iters, t_comp, t_data) - for k, v in losses.items(): - message += '%s: %.3f ' % (k, v) - - print(message) # print the message - with open(self.log_name, "a") as log_file: - log_file.write('%s\n' % message) # save the message - - -class MyVisualizer: - def __init__(self, opt): - """Initialize the Visualizer class - - Parameters: - opt -- stores all the experiment flags; needs to be a subclass of BaseOptions - Step 1: Cache the training/test options - Step 2: create a tensorboard writer - Step 3: create an HTML object for saveing HTML filters - Step 4: create a logging file to store training losses - """ - self.opt = opt # cache the optio - self.name = opt.name - self.img_dir = os.path.join(opt.checkpoints_dir, opt.name, 'results') - - if opt.phase != 'test': - self.writer = SummaryWriter(os.path.join(opt.checkpoints_dir, opt.name, 'logs')) - # create a logging file to store training losses - self.log_name = os.path.join(opt.checkpoints_dir, opt.name, 'loss_log.txt') - with open(self.log_name, "a") as log_file: - now = time.strftime("%c") - log_file.write('================ Training Loss (%s) ================\n' % now) - - - def display_current_results(self, visuals, total_iters, epoch, dataset='train', save_results=False, count=0, name=None, - add_image=True): - """Display current results on tensorboad; save current results to an HTML file. - - Parameters: - visuals (OrderedDict) - - dictionary of images to display or save - total_iters (int) -- total iterations - epoch (int) - - the current epoch - dataset (str) - - 'train' or 'val' or 'test' - """ - # if (not add_image) and (not save_results): return - - for label, image in visuals.items(): - for i in range(image.shape[0]): - image_numpy = util.tensor2im(image[i]) - if add_image: - self.writer.add_image(label + '%s_%02d'%(dataset, i + count), - image_numpy, total_iters, dataformats='HWC') - - if save_results: - save_path = os.path.join(self.img_dir, dataset, 'epoch_%s_%06d'%(epoch, total_iters)) - if not os.path.isdir(save_path): - os.makedirs(save_path) - - if name is not None: - img_path = os.path.join(save_path, '%s.png' % name) - else: - img_path = os.path.join(save_path, '%s_%03d.png' % (label, i + count)) - util.save_image(image_numpy, img_path) - - - def plot_current_losses(self, total_iters, losses, dataset='train'): - for name, value in losses.items(): - self.writer.add_scalar(name + '/%s'%dataset, value, total_iters) - - # losses: same format as |losses| of plot_current_losses - def print_current_losses(self, epoch, iters, losses, t_comp, t_data, dataset='train'): - """print current losses on console; also save the losses to the disk - - Parameters: - epoch (int) -- current epoch - iters (int) -- current training iteration during this epoch (reset to 0 at the end of every epoch) - losses (OrderedDict) -- training losses stored in the format of (name, float) pairs - t_comp (float) -- computational time per data point (normalized by batch_size) - t_data (float) -- data loading time per data point (normalized by batch_size) - """ - message = '(dataset: %s, epoch: %d, iters: %d, time: %.3f, data: %.3f) ' % ( - dataset, epoch, iters, t_comp, t_data) - for k, v in losses.items(): - message += '%s: %.3f ' % (k, v) - - print(message) # print the message - with open(self.log_name, "a") as log_file: - log_file.write('%s\n' % message) # save the message diff --git a/spaces/daddyjin/TalkingFaceGeneration/FONT/modules/dense_motion.py b/spaces/daddyjin/TalkingFaceGeneration/FONT/modules/dense_motion.py deleted file mode 100644 index 30b08d6d218bf758fe62ed307f0e058b6c12c23d..0000000000000000000000000000000000000000 --- a/spaces/daddyjin/TalkingFaceGeneration/FONT/modules/dense_motion.py +++ /dev/null @@ -1,113 +0,0 @@ -from torch import nn -import torch.nn.functional as F -import torch -from .util import Hourglass, AntiAliasInterpolation2d, make_coordinate_grid, kp2gaussian - - -class DenseMotionNetwork(nn.Module): - """ - Module that predicting a dense motion from sparse motion representation given by kp_source and kp_driving - """ - - def __init__(self, block_expansion, num_blocks, max_features, num_kp, num_channels, estimate_occlusion_map=False, - scale_factor=1, kp_variance=0.01): - super(DenseMotionNetwork, self).__init__() - self.hourglass = Hourglass(block_expansion=block_expansion, in_features=(num_kp + 1) * (num_channels + 1), - max_features=max_features, num_blocks=num_blocks) - - self.mask = nn.Conv2d(self.hourglass.out_filters, num_kp + 1, kernel_size=(7, 7), padding=(3, 3)) - - if estimate_occlusion_map: - self.occlusion = nn.Conv2d(self.hourglass.out_filters, 1, kernel_size=(7, 7), padding=(3, 3)) - else: - self.occlusion = None - - self.num_kp = num_kp - self.scale_factor = scale_factor - self.kp_variance = kp_variance - - if self.scale_factor != 1: - self.down = AntiAliasInterpolation2d(num_channels, self.scale_factor) - - def create_heatmap_representations(self, source_image, kp_driving, kp_source): - """ - Eq 6. in the paper H_k(z) - """ - spatial_size = source_image.shape[2:] - gaussian_driving = kp2gaussian(kp_driving, spatial_size=spatial_size, kp_variance=self.kp_variance) - gaussian_source = kp2gaussian(kp_source, spatial_size=spatial_size, kp_variance=self.kp_variance) - heatmap = gaussian_driving - gaussian_source #[4,10,H,W] - - #adding background feature - zeros = torch.zeros(heatmap.shape[0], 1, spatial_size[0], spatial_size[1]).type(heatmap.type()) - heatmap = torch.cat([zeros, heatmap], dim=1) - heatmap = heatmap.unsqueeze(2) #[4,11,1,h,w] - return heatmap - - def create_sparse_motions(self, source_image, kp_driving, kp_source): - """ - Eq 4. in the paper T_{s<-d}(z) - """ - bs, _, h, w = source_image.shape - identity_grid = make_coordinate_grid((h, w), type=kp_source['value'].type()) - identity_grid = identity_grid.view(1, 1, h, w, 2) - coordinate_grid = identity_grid - kp_driving['value'].view(bs, self.num_kp, 1, 1, 2) #[4,10,64,64,2] - if 'jacobian' in kp_driving: - jacobian = torch.matmul(kp_source['jacobian'], torch.inverse(kp_driving['jacobian'])) - jacobian = jacobian.unsqueeze(-3).unsqueeze(-3) - jacobian = jacobian.repeat(1, 1, h, w, 1, 1) - coordinate_grid = torch.matmul(jacobian, coordinate_grid.unsqueeze(-1)) - coordinate_grid = coordinate_grid.squeeze(-1) - - driving_to_source = coordinate_grid + kp_source['value'].view(bs, self.num_kp, 1, 1, 2) - - #adding background feature - identity_grid = identity_grid.repeat(bs, 1, 1, 1, 1) - sparse_motions = torch.cat([identity_grid, driving_to_source], dim=1) - return sparse_motions - - def create_deformed_source_image(self, source_image, sparse_motions): - """ - Eq 7. in the paper \hat{T}_{s<-d}(z) - """ - bs, _, h, w = source_image.shape - source_repeat = source_image.unsqueeze(1).unsqueeze(1).repeat(1, self.num_kp + 1, 1, 1, 1, 1) - source_repeat = source_repeat.view(bs * (self.num_kp + 1), -1, h, w) - sparse_motions = sparse_motions.view((bs * (self.num_kp + 1), h, w, -1)) - sparse_deformed = F.grid_sample(source_repeat, sparse_motions) - sparse_deformed = sparse_deformed.view((bs, self.num_kp + 1, -1, h, w)) - return sparse_deformed - - def forward(self, source_image, kp_driving, kp_source): - if self.scale_factor != 1: - source_image = self.down(source_image) #[4,3,H*scale,W*scale] - - bs, _, h, w = source_image.shape - - out_dict = dict() - heatmap_representation = self.create_heatmap_representations(source_image, kp_driving, kp_source) #[4,11,1,64,64] - sparse_motion = self.create_sparse_motions(source_image, kp_driving, kp_source) #[4,11,64,64,2] - deformed_source = self.create_deformed_source_image(source_image, sparse_motion) #[4,11,3,64,64] - out_dict['sparse_deformed'] = deformed_source - - input = torch.cat([heatmap_representation, deformed_source], dim=2) - input = input.view(bs, -1, h, w) #[4,11*4,64,64] - - prediction = self.hourglass(input) #[4,108,64,64] - - mask = self.mask(prediction) - mask = F.softmax(mask, dim=1) #[4,11,64,64] - out_dict['mask'] = mask - mask = mask.unsqueeze(2) - sparse_motion = sparse_motion.permute(0, 1, 4, 2, 3) - deformation = (sparse_motion * mask).sum(dim=1) - deformation = deformation.permute(0, 2, 3, 1) #[4,64,64,2] - - out_dict['deformation'] = deformation - - # Sec. 3.2 in the paper - if self.occlusion: - occlusion_map = torch.sigmoid(self.occlusion(prediction)) - out_dict['occlusion_map'] = occlusion_map #[4,1,64,64] - - return out_dict diff --git a/spaces/dakaiye/dky_xuexi/docs/README_RS.md b/spaces/dakaiye/dky_xuexi/docs/README_RS.md deleted file mode 100644 index 5ba5fcccc30db520d38e21950e2f7cfc03d324c5..0000000000000000000000000000000000000000 --- a/spaces/dakaiye/dky_xuexi/docs/README_RS.md +++ /dev/null @@ -1,278 +0,0 @@ -> **Note** -> -> Этот файл самовыражения автоматически генерируется модулем перевода markdown в этом проекте и может быть не на 100% правильным. -> -# GPT Академическая оптимизация (GPT Academic) - -**Если вам нравится этот проект, пожалуйста, поставьте ему звезду. Если вы придумали более полезные языковые ярлыки или функциональные плагины, не стесняйтесь открывать issue или pull request. -Чтобы перевести этот проект на произвольный язык с помощью GPT, ознакомьтесь и запустите [`multi_language.py`](multi_language.py) (экспериментальный). - -> **Примечание** -> -> 1. Обратите внимание, что только функциональные плагины (кнопки), помеченные **красным цветом**, поддерживают чтение файлов, некоторые плагины находятся в **выпадающем меню** в области плагинов. Кроме того, мы с наивысшим приоритетом рады и обрабатываем pull requests для любых новых плагинов! -> -> 2. В каждом файле проекта функциональность описана в документе самоанализа [`self_analysis.md`](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A). С каждой итерацией выполнения версии вы можете в любое время вызвать повторное создание отчета о самоанализе этого проекта, щелкнув соответствующий функциональный плагин и вызвав GPT. Вопросы сборки описаны в [`wiki`](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98). [Метод установки](#installation). -> -> 3. Этот проект совместим и поощряет использование китайских языковых моделей chatglm и RWKV, пангу и т. Д. Поддержка нескольких api-key, которые могут существовать одновременно, может быть указан в файле конфигурации, например `API_KEY="openai-key1,openai-key2,api2d-key3"`. Если требуется временно изменить `API_KEY`, введите временный `API_KEY` в области ввода и нажмите клавишу Enter, чтобы он вступил в силу. - -> **Примечание** -> -> При установке зависимостей строго выбирайте версии, **указанные в файле requirements.txt**. -> -> `pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/`## Задание - -Вы профессиональный переводчик научных статей. - -Переведите этот файл в формате Markdown на русский язык. Не изменяйте существующие команды Markdown, ответьте только переведенными результатами. - -## Результат - -Функция | Описание ---- | --- -Однокнопочный стиль | Поддержка однокнопочного стиля и поиска грамматических ошибок в научных статьях -Однокнопочный перевод на английский и китайский | Однокнопочный перевод на английский и китайский -Однокнопочное объяснение кода | Показ кода, объяснение его, генерация кода, комментирование кода -[Настройка быстрых клавиш](https://www.bilibili.com/video/BV14s4y1E7jN) | Поддержка настройки быстрых клавиш -Модульный дизайн | Поддержка пользовательских функциональных плагинов мощных [функциональных плагинов](https://github.com/binary-husky/chatgpt_academic/tree/master/crazy_functions), плагины поддерживают [горячую замену](https://github.com/binary-husky/chatgpt_academic/wiki/Function-Plug-in-Guide) -[Анализ своей программы](https://www.bilibili.com/video/BV1cj411A7VW) | [Функциональный плагин] [Однокнопочный просмотр](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academicProject-Self-analysis-Report) исходного кода этого проекта -[Анализ программы](https://www.bilibili.com/video/BV1cj411A7VW) | [Функциональный плагин] Однокнопочный анализ дерева других проектов Python/C/C++/Java/Lua/... -Чтение статей, [перевод](https://www.bilibili.com/video/BV1KT411x7Wn) статей | [Функциональный плагин] Однокнопочное чтение полного текста научных статей и генерация резюме -Полный перевод [LaTeX](https://www.bilibili.com/video/BV1nk4y1Y7Js/) и совершенствование | [Функциональный плагин] Однокнопочный перевод или совершенствование LaTeX статьи -Автоматическое комментирование | [Функциональный плагин] Однокнопочное автоматическое генерирование комментариев функций -[Перевод](https://www.bilibili.com/video/BV1yo4y157jV/) Markdown на английский и китайский | [Функциональный плагин] Вы видели обе версии файлов [README](https://github.com/binary-husky/chatgpt_academic/blob/master/docs/README_EN.md) для этих 5 языков? -Отчет о чат-анализе | [Функциональный плагин] После запуска будет автоматически сгенерировано сводное извещение -Функция перевода полного текста [PDF-статьи](https://www.bilibili.com/video/BV1KT411x7Wn) | [Функциональный плагин] Извлечение заголовка и резюме [PDF-статьи](https://www.bilibili.com/video/BV1KT411x7Wn) и перевод всего документа (многопоточность) -[Arxiv Helper](https://www.bilibili.com/video/BV1LM4y1279X) | [Функциональный плагин] Введите URL статьи на arxiv и одним щелчком мыши переведите резюме и загрузите PDF -[Google Scholar Integration Helper](https://www.bilibili.com/video/BV19L411U7ia) | [Функциональный плагин] При заданном любом URL страницы поиска в Google Scholar позвольте gpt вам помочь [написать обзор](https://www.bilibili.com/video/BV1GP411U7Az/) -Сбор Интернет-информации + GPT | [Функциональный плагин] Однокнопочный [запрос информации из Интернета GPT](https://www.bilibili.com/video/BV1om4y127ck), затем ответьте на вопрос, чтобы информация не устарела никогда -Отображение формул / изображений / таблиц | Может одновременно отображать формулы в [формате Tex и рендеринге](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png), поддерживает формулы, подсвечивает код -Поддержка функций с многопоточностью | Поддержка многопоточного вызова chatgpt, однокнопочная обработка [больших объемов текста](https://www.bilibili.com/video/BV1FT411H7c5/) или программ -Темная тема gradio для запуска приложений | Добавьте ```/?__theme=dark``` после URL в браузере, чтобы переключиться на темную тему -[Поддержка нескольких моделей LLM](https://www.bilibili.com/video/BV1wT411p7yf), [API2D](https://api2d.com/) | Они одновременно обслуживаются GPT3.5, GPT4, [Clear ChatGLM](https://github.com/THUDM/ChatGLM-6B), [Fudan MOSS](https://github.com/OpenLMLab/MOSS) -Подключение нескольких новых моделей LLM, поддержка деплоя[huggingface](https://huggingface.co/spaces/qingxu98/gpt-academic) | Подключение интерфейса Newbing (новый Bing), подключение поддержки [LLaMA](https://github.com/facebookresearch/llama), поддержка [RWKV](https://github.com/BlinkDL/ChatRWKV) и [Pangu α](https://openi.org.cn/pangu/) -Больше новых функций (генерация изображения и т. д.) | См. на конце этого файла…- All buttons are dynamically generated by reading functional.py, and custom functions can be freely added to liberate the clipboard -
    - -
    - -- Revision/Correction -
    - -
    - -- If the output contains formulas, they will be displayed in both tex and rendered form for easy copying and reading -
    - -
    - -- Don't feel like looking at project code? Show the entire project directly in chatgpt -
    - -
    - -- Mixing multiple large language models (ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4） -
    - -
    - ---- -# Installation -## Installation-Method 1: Run directly (Windows, Linux or MacOS) - -1. Download the project -```sh -git clone https://github.com/binary-husky/chatgpt_academic.git -cd chatgpt_academic -``` - -2. Configure API_KEY - -In `config.py`, configure API KEY and other settings, [special network environment settings] (https://github.com/binary-husky/gpt_academic/issues/1). - -(P.S. When the program is running, it will first check whether there is a secret configuration file named `config_private.py` and use the configuration in it to replace the same name in` config.py`. Therefore, if you understand our configuration reading logic, we strongly recommend that you create a new configuration file named `config_private.py` next to `config.py`, and transfer (copy) the configuration in `config.py` to `config_private.py`. `config_private.py` is not controlled by git, which can make your privacy information more secure. P.S. The project also supports configuring most options through `environment variables`, and the writing format of environment variables refers to the `docker-compose` file. Priority of read: `environment variable`>`config_private.py`>`config.py`) - - -3. Install dependencies -```sh -# （Option I: If familiar with Python）(Python version 3.9 or above, the newer the better), note: use the official pip source or the aliyun pip source, temporary switching source method: python -m pip install -r requirements.txt - i https://mirrors.aliyun.com/pypi/simple/ -python -m pip install -r requirements.txt - -# （Option II: If unfamiliar with Python）Use Anaconda, the steps are also similar (https://www.bilibili.com/video/BV1rc411W7Dr): -conda create -n gptac_venv python=3.11 # create an Anaconda environment -conda activate gptac_venv # activate Anaconda environment -python -m pip install -r requirements.txt # This step is the same as the pip installation -``` - -
    If you need to support Tsinghua ChatGLM/Fudan MOSS as backend, click here to expand -

    - -[Optional step] If you need to support Tsinghua ChatGLM/Fudan MOSS as backend, you need to install more dependencies (prerequisites: familiar with Python + have used Pytorch + computer configuration is strong): -```sh -# [Optional step I] Support Tsinghua ChatGLM. Tsinghua ChatGLM note: If you encounter the "Call ChatGLM fail cannot load ChatGLM parameters normally" error, refer to the following: 1: The default installation above is torch+cpu version, and cuda is used Need to uninstall torch and reinstall torch+cuda; 2: If you cannot load the model due to insufficient local configuration, you can modify the model accuracy in request_llm/bridge_chatglm.py, AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) Modify to AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True) -python -m pip install -r request_llm/requirements_chatglm.txt - -# [Optional step II] Support Fudan MOSS -python -m pip install -r request_llm/requirements_moss.txt -git clone https://github.com/OpenLMLab/MOSS.git request_llm/moss # Note that when executing this line of code, you must be in the project root path - -# [Optional step III] Make sure the AVAIL_LLM_MODELS in the config.py configuration file contains the expected models. Currently, all supported models are as follows (the jittorllms series currently only supports the docker solution): -AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "chatglm", "newbing", "moss"] # + ["jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"] -``` - -

    -
    - - - -4. Run -```sh -python main.py -```5. Testing Function Plugin -``` -- Testing function plugin template function (requires GPT to answer what happened in history today), you can use this function as a template to implement more complex functions - Click "[Function plugin Template Demo] On this day in history" -``` - -## Installation - Method 2: Using Docker - -1. ChatGPT only (recommended for most people) - -``` sh -git clone https://github.com/binary-husky/chatgpt_academic.git # download the project -cd chatgpt_academic # enter the path -nano config.py # edit config.py with any text editor to configure "Proxy", "API_KEY", and "WEB_PORT" (eg 50923) -docker build -t gpt-academic . # install - -# (Last step-Option 1) In a Linux environment, using `--net=host` is more convenient and faster -docker run --rm -it --net=host gpt-academic -# (Last step-Option 2) In macOS/windows environment, only -p option can be used to expose the port on the container (eg 50923) to the port on the host -docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic -``` - -2. ChatGPT + ChatGLM + MOSS (requires familiarity with Docker) - -``` sh -# Edit docker-compose.yml, delete solutions 1 and 3, and keep solution 2. Modify the configuration of solution 2 in docker-compose.yml, refer to the comments in it -docker-compose up -``` - -3. ChatGPT + LLAMA + PanGu + RWKV (requires familiarity with Docker) -``` sh -# Edit docker-compose.yml, delete solutions 1 and 2, and keep solution 3. Modify the configuration of solution 3 in docker-compose.yml, refer to the comments in it -docker-compose up -``` - - -## Installation Method 3: Other Deployment Methods - -1. How to use reverse proxy URL/Microsoft Azure API -Configure API_URL_REDIRECT according to the instructions in `config.py`. - -2. Remote Cloud Server Deployment (Requires Knowledge and Experience of Cloud Servers) -Please visit [Deployment Wiki-1](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97) - -3. Using WSL2 (Windows Subsystem for Linux subsystem) -Please visit [Deployment Wiki-2](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2) - -4. How to run at the secondary URL (such as `http://localhost/subpath`) -Please visit [FastAPI Operation Instructions](docs/WithFastapi.md) - -5. Using docker-compose to run -Please read docker-compose.yml and follow the prompts to operate. - ---- -# Advanced Usage -## Customize new convenient buttons / custom function plugins - -1. Customize new convenient buttons (academic shortcuts) -Open `core_functional.py` with any text editor, add an entry as follows, and then restart the program. (If the button has been added successfully and is visible, both prefixes and suffixes can be hot-modified without having to restart the program.) -For example: -``` -"Super English to Chinese": { - # Prefix, will be added before your input. For example, describe your requirements, such as translation, code interpretation, polishing, etc. - "Prefix": "Please translate the following content into Chinese, and then explain each proper noun that appears in the text with a markdown table:\n\n", - - # Suffix, will be added after your input. For example, with the prefix, you can enclose your input content in quotes. - "Suffix": "", -}, -``` -
    - -
    - -2. Custom function plugin - -Write powerful function plugins to perform any task you can and can't imagine. -The difficulty of debugging and writing plugins in this project is very low. As long as you have a certain knowledge of python, you can implement your own plugin function by imitating the template we provide. -Please refer to the [Function Plugin Guide](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97) for details. - ---- -# Latest Update -## New feature dynamic - -1. Сохранение диалогов. Вызовите "Сохранить текущий диалог" в разделе функций-плагина, чтобы сохранить текущий диалог как файл HTML, который можно прочитать и восстановить. Кроме того, вызовите «Загрузить архив истории диалога» в меню функций-плагина, чтобы восстановить предыдущую сессию. Совет: если нажать кнопку "Загрузить исторический архив диалога" без указания файла, можно просмотреть кэш исторических файлов HTML. Щелкните "Удалить все локальные записи истории диалогов", чтобы удалить все файловые кэши HTML. - -2. Создание отчетов. Большинство плагинов создают рабочий отчет после завершения выполнения. -  -3. Модульный дизайн функций, простой интерфейс, но сильный функционал. - -4. Это проект с открытым исходным кодом, который может «сам переводить себя». - -5. Перевод других проектов с открытым исходным кодом - это не проблема. - -6. Мелкие функции декорирования [live2d](https://github.com/fghrsh/live2d_demo) (по умолчанию отключены, нужно изменить `config.py`). - -7. Поддержка большой языковой модели MOSS. - -8. Генерация изображений с помощью OpenAI. - -9. Анализ и подведение итогов аудиофайлов с помощью OpenAI. - -10. Полный цикл проверки правописания с использованием LaTeX. - -## Версии: -- Версия 3.5 (Todo): использование естественного языка для вызова функций-плагинов проекта (высокий приоритет) -- Версия 3.4 (Todo): улучшение многопоточной поддержки локальных больших моделей чата. -- Версия 3.3: добавлена функция объединения интернет-информации. -- Версия 3.2: функции-плагины поддерживают большое количество параметров (сохранение диалогов, анализирование любого языка программирования и одновременное запрос LLM-групп). -- Версия 3.1: поддержка одновременного запроса нескольких моделей GPT! Поддержка api2d, сбалансированное распределение нагрузки по нескольким ключам api. -- Версия 3.0: поддержка chatglm и других небольших LLM. -- Версия 2.6: перестройка структуры плагинов, улучшение интерактивности, добавлено больше плагинов. -- Версия 2.5: автоматическое обновление для решения проблемы длинного текста и переполнения токенов при обработке больших проектов. -- Версия 2.4: (1) добавлена функция полного перевода PDF; (2) добавлена функция переключения положения ввода; (3) добавлена опция вертикального макета; (4) оптимизация многопоточности плагинов. -- Версия 2.3: улучшение многопоточной интерактивности. -- Версия 2.2: функции-плагины поддерживают горячую перезагрузку. -- Версия 2.1: раскрывающийся макет. -- Версия 2.0: использование модульных функций-плагинов. -- Версия 1.0: базовые функции. - -gpt_academic Разработчик QQ-группы-2: 610599535 - -- Известные проблемы - - Некоторые плагины перевода в браузерах мешают работе фронтенда этого программного обеспечения - - Высокая или низкая версия gradio может вызвать множество исключений - -## Ссылки и учебные материалы - -``` -Мы использовали многие концепты кода из других отличных проектов, включая: - -# Проект 1: Qinghua ChatGLM-6B: -https://github.com/THUDM/ChatGLM-6B - -# Проект 2: Qinghua JittorLLMs: -https://github.com/Jittor/JittorLLMs - -# Проект 3: Edge-GPT: -https://github.com/acheong08/EdgeGPT - -# Проект 4: Chuanhu ChatGPT: -https://github.com/GaiZhenbiao/ChuanhuChatGPT - -# Проект 5: ChatPaper: -https://github.com/kaixindelele/ChatPaper - -# Больше: -https://github.com/gradio-app/gradio -https://github.com/fghrsh/live2d_demo -``` \ No newline at end of file diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_runtime.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_runtime.py deleted file mode 100644 index f5f95cb57c0db6ca582f5bac29ca66738d694097..0000000000000000000000000000000000000000 --- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_runtime.py +++ /dev/null @@ -1,328 +0,0 @@ -# coding=utf-8 -# Copyright 2022-present, the HuggingFace Inc. team. -# -# 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. -"""Check presence of installed packages at runtime.""" -import platform -import sys -from typing import Any, Dict - -import packaging.version - -from .. import __version__, constants - - -_PY_VERSION: str = sys.version.split()[0].rstrip("+") - -if packaging.version.Version(_PY_VERSION) < packaging.version.Version("3.8.0"): - import importlib_metadata # type: ignore -else: - import importlib.metadata as importlib_metadata # type: ignore - - -_package_versions = {} - -_CANDIDATES = { - "aiohttp": {"aiohttp"}, - "fastai": {"fastai"}, - "fastcore": {"fastcore"}, - "gradio": {"gradio"}, - "graphviz": {"graphviz"}, - "hf_transfer": {"hf_transfer"}, - "jinja": {"Jinja2"}, - "numpy": {"numpy"}, - "pillow": {"Pillow"}, - "pydantic": {"pydantic"}, - "pydot": {"pydot"}, - "tensorboard": {"tensorboardX"}, - "tensorflow": ( - "tensorflow", - "tensorflow-cpu", - "tensorflow-gpu", - "tf-nightly", - "tf-nightly-cpu", - "tf-nightly-gpu", - "intel-tensorflow", - "intel-tensorflow-avx512", - "tensorflow-rocm", - "tensorflow-macos", - ), - "torch": {"torch"}, -} - -# Check once at runtime -for candidate_name, package_names in _CANDIDATES.items(): - _package_versions[candidate_name] = "N/A" - for name in package_names: - try: - _package_versions[candidate_name] = importlib_metadata.version(name) - break - except importlib_metadata.PackageNotFoundError: - pass - - -def _get_version(package_name: str) -> str: - return _package_versions.get(package_name, "N/A") - - -def _is_available(package_name: str) -> bool: - return _get_version(package_name) != "N/A" - - -# Python -def get_python_version() -> str: - return _PY_VERSION - - -# Huggingface Hub -def get_hf_hub_version() -> str: - return __version__ - - -# aiohttp -def is_aiohttp_available() -> bool: - return _is_available("aiohttp") - - -def get_aiohttp_version() -> str: - return _get_version("aiohttp") - - -# FastAI -def is_fastai_available() -> bool: - return _is_available("fastai") - - -def get_fastai_version() -> str: - return _get_version("fastai") - - -# Fastcore -def is_fastcore_available() -> bool: - return _is_available("fastcore") - - -def get_fastcore_version() -> str: - return _get_version("fastcore") - - -# FastAI -def is_gradio_available() -> bool: - return _is_available("gradio") - - -def get_gradio_version() -> str: - return _get_version("gradio") - - -# Graphviz -def is_graphviz_available() -> bool: - return _is_available("graphviz") - - -def get_graphviz_version() -> str: - return _get_version("graphviz") - - -# hf_transfer -def is_hf_transfer_available() -> bool: - return _is_available("hf_transfer") - - -def get_hf_transfer_version() -> str: - return _get_version("hf_transfer") - - -# Numpy -def is_numpy_available() -> bool: - return _is_available("numpy") - - -def get_numpy_version() -> str: - return _get_version("numpy") - - -# Jinja -def is_jinja_available() -> bool: - return _is_available("jinja") - - -def get_jinja_version() -> str: - return _get_version("jinja") - - -# Pillow -def is_pillow_available() -> bool: - return _is_available("pillow") - - -def get_pillow_version() -> str: - return _get_version("pillow") - - -# Pydantic -def is_pydantic_available() -> bool: - return _is_available("pydantic") - - -def get_pydantic_version() -> str: - return _get_version("pydantic") - - -# Pydot -def is_pydot_available() -> bool: - return _is_available("pydot") - - -def get_pydot_version() -> str: - return _get_version("pydot") - - -# Tensorboard -def is_tensorboard_available() -> bool: - return _is_available("tensorboard") - - -def get_tensorboard_version() -> str: - return _get_version("tensorboard") - - -# Tensorflow -def is_tf_available() -> bool: - return _is_available("tensorflow") - - -def get_tf_version() -> str: - return _get_version("tensorflow") - - -# Torch -def is_torch_available() -> bool: - return _is_available("torch") - - -def get_torch_version() -> str: - return _get_version("torch") - - -# Shell-related helpers -try: - # Set to `True` if script is running in a Google Colab notebook. - # If running in Google Colab, git credential store is set globally which makes the - # warning disappear. See https://github.com/huggingface/huggingface_hub/issues/1043 - # - # Taken from https://stackoverflow.com/a/63519730. - _is_google_colab = "google.colab" in str(get_ipython()) # type: ignore # noqa: F821 -except NameError: - _is_google_colab = False - - -def is_notebook() -> bool: - """Return `True` if code is executed in a notebook (Jupyter, Colab, QTconsole). - - Taken from https://stackoverflow.com/a/39662359. - Adapted to make it work with Google colab as well. - """ - try: - shell_class = get_ipython().__class__ # type: ignore # noqa: F821 - for parent_class in shell_class.__mro__: # e.g. "is subclass of" - if parent_class.__name__ == "ZMQInteractiveShell": - return True # Jupyter notebook, Google colab or qtconsole - return False - except NameError: - return False # Probably standard Python interpreter - - -def is_google_colab() -> bool: - """Return `True` if code is executed in a Google colab. - - Taken from https://stackoverflow.com/a/63519730. - """ - return _is_google_colab - - -def dump_environment_info() -> Dict[str, Any]: - """Dump information about the machine to help debugging issues. - - Similar helper exist in: - - `datasets` (https://github.com/huggingface/datasets/blob/main/src/datasets/commands/env.py) - - `diffusers` (https://github.com/huggingface/diffusers/blob/main/src/diffusers/commands/env.py) - - `transformers` (https://github.com/huggingface/transformers/blob/main/src/transformers/commands/env.py) - """ - from huggingface_hub import HfFolder, whoami - from huggingface_hub.utils import list_credential_helpers - - token = HfFolder().get_token() - - # Generic machine info - info: Dict[str, Any] = { - "huggingface_hub version": get_hf_hub_version(), - "Platform": platform.platform(), - "Python version": get_python_version(), - } - - # Interpreter info - try: - shell_class = get_ipython().__class__ # type: ignore # noqa: F821 - info["Running in iPython ?"] = "Yes" - info["iPython shell"] = shell_class.__name__ - except NameError: - info["Running in iPython ?"] = "No" - info["Running in notebook ?"] = "Yes" if is_notebook() else "No" - info["Running in Google Colab ?"] = "Yes" if is_google_colab() else "No" - - # Login info - info["Token path ?"] = HfFolder().path_token - info["Has saved token ?"] = token is not None - if token is not None: - try: - info["Who am I ?"] = whoami()["name"] - except Exception: - pass - - try: - info["Configured git credential helpers"] = ", ".join(list_credential_helpers()) - except Exception: - pass - - # Installed dependencies - info["FastAI"] = get_fastai_version() - info["Tensorflow"] = get_tf_version() - info["Torch"] = get_torch_version() - info["Jinja2"] = get_jinja_version() - info["Graphviz"] = get_graphviz_version() - info["Pydot"] = get_pydot_version() - info["Pillow"] = get_pillow_version() - info["hf_transfer"] = get_hf_transfer_version() - info["gradio"] = get_gradio_version() - info["tensorboard"] = get_tensorboard_version() - info["numpy"] = get_numpy_version() - info["pydantic"] = get_pydantic_version() - info["aiohttp"] = get_aiohttp_version() - - # Environment variables - info["ENDPOINT"] = constants.ENDPOINT - info["HUGGINGFACE_HUB_CACHE"] = constants.HUGGINGFACE_HUB_CACHE - info["HUGGINGFACE_ASSETS_CACHE"] = constants.HUGGINGFACE_ASSETS_CACHE - info["HF_TOKEN_PATH"] = constants.HF_TOKEN_PATH - info["HF_HUB_OFFLINE"] = constants.HF_HUB_OFFLINE - info["HF_HUB_DISABLE_TELEMETRY"] = constants.HF_HUB_DISABLE_TELEMETRY - info["HF_HUB_DISABLE_PROGRESS_BARS"] = constants.HF_HUB_DISABLE_PROGRESS_BARS - info["HF_HUB_DISABLE_SYMLINKS_WARNING"] = constants.HF_HUB_DISABLE_SYMLINKS_WARNING - info["HF_HUB_DISABLE_EXPERIMENTAL_WARNING"] = constants.HF_HUB_DISABLE_EXPERIMENTAL_WARNING - info["HF_HUB_DISABLE_IMPLICIT_TOKEN"] = constants.HF_HUB_DISABLE_IMPLICIT_TOKEN - info["HF_HUB_ENABLE_HF_TRANSFER"] = constants.HF_HUB_ENABLE_HF_TRANSFER - - print("\nCopy-and-paste the text below in your GitHub issue.\n") - print("\n".join([f"- {prop}: {val}" for prop, val in info.items()]) + "\n") - return info diff --git a/spaces/declare-lab/tango/diffusers/src/diffusers/models/controlnet_flax.py b/spaces/declare-lab/tango/diffusers/src/diffusers/models/controlnet_flax.py deleted file mode 100644 index 3adefa84ea680c521a1dea505e3ece26dc122efa..0000000000000000000000000000000000000000 --- a/spaces/declare-lab/tango/diffusers/src/diffusers/models/controlnet_flax.py +++ /dev/null @@ -1,383 +0,0 @@ -# Copyright 2023 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. -from typing import Tuple, Union - -import flax -import flax.linen as nn -import jax -import jax.numpy as jnp -from flax.core.frozen_dict import FrozenDict - -from ..configuration_utils import ConfigMixin, flax_register_to_config -from ..utils import BaseOutput -from .embeddings_flax import FlaxTimestepEmbedding, FlaxTimesteps -from .modeling_flax_utils import FlaxModelMixin -from .unet_2d_blocks_flax import ( - FlaxCrossAttnDownBlock2D, - FlaxDownBlock2D, - FlaxUNetMidBlock2DCrossAttn, -) - - -@flax.struct.dataclass -class FlaxControlNetOutput(BaseOutput): - down_block_res_samples: jnp.ndarray - mid_block_res_sample: jnp.ndarray - - -class FlaxControlNetConditioningEmbedding(nn.Module): - conditioning_embedding_channels: int - block_out_channels: Tuple[int] = (16, 32, 96, 256) - dtype: jnp.dtype = jnp.float32 - - def setup(self): - self.conv_in = nn.Conv( - self.block_out_channels[0], - kernel_size=(3, 3), - padding=((1, 1), (1, 1)), - dtype=self.dtype, - ) - - blocks = [] - for i in range(len(self.block_out_channels) - 1): - channel_in = self.block_out_channels[i] - channel_out = self.block_out_channels[i + 1] - conv1 = nn.Conv( - channel_in, - kernel_size=(3, 3), - padding=((1, 1), (1, 1)), - dtype=self.dtype, - ) - blocks.append(conv1) - conv2 = nn.Conv( - channel_out, - kernel_size=(3, 3), - strides=(2, 2), - padding=((1, 1), (1, 1)), - dtype=self.dtype, - ) - blocks.append(conv2) - self.blocks = blocks - - self.conv_out = nn.Conv( - self.conditioning_embedding_channels, - kernel_size=(3, 3), - padding=((1, 1), (1, 1)), - kernel_init=nn.initializers.zeros_init(), - bias_init=nn.initializers.zeros_init(), - dtype=self.dtype, - ) - - def __call__(self, conditioning): - embedding = self.conv_in(conditioning) - embedding = nn.silu(embedding) - - for block in self.blocks: - embedding = block(embedding) - embedding = nn.silu(embedding) - - embedding = self.conv_out(embedding) - - return embedding - - -@flax_register_to_config -class FlaxControlNetModel(nn.Module, FlaxModelMixin, ConfigMixin): - r""" - Quoting from https://arxiv.org/abs/2302.05543: "Stable Diffusion uses a pre-processing method similar to VQ-GAN - [11] to convert the entire dataset of 512 × 512 images into smaller 64 × 64 “latent images” for stabilized - training. This requires ControlNets to convert image-based conditions to 64 × 64 feature space to match the - convolution size. We use a tiny network E(·) of four convolution layers with 4 × 4 kernels and 2 × 2 strides - (activated by ReLU, channels are 16, 32, 64, 128, initialized with Gaussian weights, trained jointly with the full - model) to encode image-space conditions ... into feature maps ..." - - This model inherits from [`FlaxModelMixin`]. Check the superclass documentation for the generic methods the library - implements for all the models (such as downloading or saving, etc.) - - Also, this model is a Flax Linen [flax.linen.Module](https://flax.readthedocs.io/en/latest/flax.linen.html#module) - subclass. Use it as a regular Flax linen Module and refer to the Flax documentation for all matter related to - general usage and behavior. - - Finally, this model supports inherent JAX features such as: - - [Just-In-Time (JIT) compilation](https://jax.readthedocs.io/en/latest/jax.html#just-in-time-compilation-jit) - - [Automatic Differentiation](https://jax.readthedocs.io/en/latest/jax.html#automatic-differentiation) - - [Vectorization](https://jax.readthedocs.io/en/latest/jax.html#vectorization-vmap) - - [Parallelization](https://jax.readthedocs.io/en/latest/jax.html#parallelization-pmap) - - Parameters: - sample_size (`int`, *optional*): - The size of the input sample. - in_channels (`int`, *optional*, defaults to 4): - The number of channels in the input sample. - down_block_types (`Tuple[str]`, *optional*, defaults to `("CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D")`): - The tuple of downsample blocks to use. The corresponding class names will be: "FlaxCrossAttnDownBlock2D", - "FlaxCrossAttnDownBlock2D", "FlaxCrossAttnDownBlock2D", "FlaxDownBlock2D" - block_out_channels (`Tuple[int]`, *optional*, defaults to `(320, 640, 1280, 1280)`): - The tuple of output channels for each block. - layers_per_block (`int`, *optional*, defaults to 2): - The number of layers per block. - attention_head_dim (`int` or `Tuple[int]`, *optional*, defaults to 8): - The dimension of the attention heads. - cross_attention_dim (`int`, *optional*, defaults to 768): - The dimension of the cross attention features. - dropout (`float`, *optional*, defaults to 0): - Dropout probability for down, up and bottleneck blocks. - flip_sin_to_cos (`bool`, *optional*, defaults to `True`): - Whether to flip the sin to cos in the time embedding. - freq_shift (`int`, *optional*, defaults to 0): The frequency shift to apply to the time embedding. - controlnet_conditioning_channel_order (`str`, *optional*, defaults to `rgb`): - The channel order of conditional image. Will convert it to `rgb` if it's `bgr` - conditioning_embedding_out_channels (`tuple`, *optional*, defaults to `(16, 32, 96, 256)`): - The tuple of output channel for each block in conditioning_embedding layer - - - """ - sample_size: int = 32 - in_channels: int = 4 - down_block_types: Tuple[str] = ( - "CrossAttnDownBlock2D", - "CrossAttnDownBlock2D", - "CrossAttnDownBlock2D", - "DownBlock2D", - ) - only_cross_attention: Union[bool, Tuple[bool]] = False - block_out_channels: Tuple[int] = (320, 640, 1280, 1280) - layers_per_block: int = 2 - attention_head_dim: Union[int, Tuple[int]] = 8 - cross_attention_dim: int = 1280 - dropout: float = 0.0 - use_linear_projection: bool = False - dtype: jnp.dtype = jnp.float32 - flip_sin_to_cos: bool = True - freq_shift: int = 0 - controlnet_conditioning_channel_order: str = "rgb" - conditioning_embedding_out_channels: Tuple[int] = (16, 32, 96, 256) - - def init_weights(self, rng: jax.random.KeyArray) -> FrozenDict: - # init input tensors - sample_shape = (1, self.in_channels, self.sample_size, self.sample_size) - sample = jnp.zeros(sample_shape, dtype=jnp.float32) - timesteps = jnp.ones((1,), dtype=jnp.int32) - encoder_hidden_states = jnp.zeros((1, 1, self.cross_attention_dim), dtype=jnp.float32) - controlnet_cond_shape = (1, 3, self.sample_size * 8, self.sample_size * 8) - controlnet_cond = jnp.zeros(controlnet_cond_shape, dtype=jnp.float32) - - params_rng, dropout_rng = jax.random.split(rng) - rngs = {"params": params_rng, "dropout": dropout_rng} - - return self.init(rngs, sample, timesteps, encoder_hidden_states, controlnet_cond)["params"] - - def setup(self): - block_out_channels = self.block_out_channels - time_embed_dim = block_out_channels[0] * 4 - - # input - self.conv_in = nn.Conv( - block_out_channels[0], - kernel_size=(3, 3), - strides=(1, 1), - padding=((1, 1), (1, 1)), - dtype=self.dtype, - ) - - # time - self.time_proj = FlaxTimesteps( - block_out_channels[0], flip_sin_to_cos=self.flip_sin_to_cos, freq_shift=self.config.freq_shift - ) - self.time_embedding = FlaxTimestepEmbedding(time_embed_dim, dtype=self.dtype) - - self.controlnet_cond_embedding = FlaxControlNetConditioningEmbedding( - conditioning_embedding_channels=block_out_channels[0], - block_out_channels=self.conditioning_embedding_out_channels, - ) - - only_cross_attention = self.only_cross_attention - if isinstance(only_cross_attention, bool): - only_cross_attention = (only_cross_attention,) * len(self.down_block_types) - - attention_head_dim = self.attention_head_dim - if isinstance(attention_head_dim, int): - attention_head_dim = (attention_head_dim,) * len(self.down_block_types) - - # down - down_blocks = [] - controlnet_down_blocks = [] - - output_channel = block_out_channels[0] - - controlnet_block = nn.Conv( - output_channel, - kernel_size=(1, 1), - padding="VALID", - kernel_init=nn.initializers.zeros_init(), - bias_init=nn.initializers.zeros_init(), - dtype=self.dtype, - ) - controlnet_down_blocks.append(controlnet_block) - - for i, down_block_type in enumerate(self.down_block_types): - input_channel = output_channel - output_channel = block_out_channels[i] - is_final_block = i == len(block_out_channels) - 1 - - if down_block_type == "CrossAttnDownBlock2D": - down_block = FlaxCrossAttnDownBlock2D( - in_channels=input_channel, - out_channels=output_channel, - dropout=self.dropout, - num_layers=self.layers_per_block, - attn_num_head_channels=attention_head_dim[i], - add_downsample=not is_final_block, - use_linear_projection=self.use_linear_projection, - only_cross_attention=only_cross_attention[i], - dtype=self.dtype, - ) - else: - down_block = FlaxDownBlock2D( - in_channels=input_channel, - out_channels=output_channel, - dropout=self.dropout, - num_layers=self.layers_per_block, - add_downsample=not is_final_block, - dtype=self.dtype, - ) - - down_blocks.append(down_block) - - for _ in range(self.layers_per_block): - controlnet_block = nn.Conv( - output_channel, - kernel_size=(1, 1), - padding="VALID", - kernel_init=nn.initializers.zeros_init(), - bias_init=nn.initializers.zeros_init(), - dtype=self.dtype, - ) - controlnet_down_blocks.append(controlnet_block) - - if not is_final_block: - controlnet_block = nn.Conv( - output_channel, - kernel_size=(1, 1), - padding="VALID", - kernel_init=nn.initializers.zeros_init(), - bias_init=nn.initializers.zeros_init(), - dtype=self.dtype, - ) - controlnet_down_blocks.append(controlnet_block) - - self.down_blocks = down_blocks - self.controlnet_down_blocks = controlnet_down_blocks - - # mid - mid_block_channel = block_out_channels[-1] - self.mid_block = FlaxUNetMidBlock2DCrossAttn( - in_channels=mid_block_channel, - dropout=self.dropout, - attn_num_head_channels=attention_head_dim[-1], - use_linear_projection=self.use_linear_projection, - dtype=self.dtype, - ) - - self.controlnet_mid_block = nn.Conv( - mid_block_channel, - kernel_size=(1, 1), - padding="VALID", - kernel_init=nn.initializers.zeros_init(), - bias_init=nn.initializers.zeros_init(), - dtype=self.dtype, - ) - - def __call__( - self, - sample, - timesteps, - encoder_hidden_states, - controlnet_cond, - conditioning_scale: float = 1.0, - return_dict: bool = True, - train: bool = False, - ) -> Union[FlaxControlNetOutput, Tuple]: - r""" - Args: - sample (`jnp.ndarray`): (batch, channel, height, width) noisy inputs tensor - timestep (`jnp.ndarray` or `float` or `int`): timesteps - encoder_hidden_states (`jnp.ndarray`): (batch_size, sequence_length, hidden_size) encoder hidden states - controlnet_cond (`jnp.ndarray`): (batch, channel, height, width) the conditional input tensor - conditioning_scale: (`float`) the scale factor for controlnet outputs - return_dict (`bool`, *optional*, defaults to `True`): - Whether or not to return a [`models.unet_2d_condition_flax.FlaxUNet2DConditionOutput`] instead of a - plain tuple. - train (`bool`, *optional*, defaults to `False`): - Use deterministic functions and disable dropout when not training. - - Returns: - [`~models.unet_2d_condition_flax.FlaxUNet2DConditionOutput`] or `tuple`: - [`~models.unet_2d_condition_flax.FlaxUNet2DConditionOutput`] if `return_dict` is True, otherwise a `tuple`. - When returning a tuple, the first element is the sample tensor. - """ - channel_order = self.controlnet_conditioning_channel_order - if channel_order == "bgr": - controlnet_cond = jnp.flip(controlnet_cond, axis=1) - - # 1. time - if not isinstance(timesteps, jnp.ndarray): - timesteps = jnp.array([timesteps], dtype=jnp.int32) - elif isinstance(timesteps, jnp.ndarray) and len(timesteps.shape) == 0: - timesteps = timesteps.astype(dtype=jnp.float32) - timesteps = jnp.expand_dims(timesteps, 0) - - t_emb = self.time_proj(timesteps) - t_emb = self.time_embedding(t_emb) - - # 2. pre-process - sample = jnp.transpose(sample, (0, 2, 3, 1)) - sample = self.conv_in(sample) - - controlnet_cond = jnp.transpose(controlnet_cond, (0, 2, 3, 1)) - controlnet_cond = self.controlnet_cond_embedding(controlnet_cond) - sample += controlnet_cond - - # 3. down - down_block_res_samples = (sample,) - for down_block in self.down_blocks: - if isinstance(down_block, FlaxCrossAttnDownBlock2D): - sample, res_samples = down_block(sample, t_emb, encoder_hidden_states, deterministic=not train) - else: - sample, res_samples = down_block(sample, t_emb, deterministic=not train) - down_block_res_samples += res_samples - - # 4. mid - sample = self.mid_block(sample, t_emb, encoder_hidden_states, deterministic=not train) - - # 5. contronet blocks - controlnet_down_block_res_samples = () - for down_block_res_sample, controlnet_block in zip(down_block_res_samples, self.controlnet_down_blocks): - down_block_res_sample = controlnet_block(down_block_res_sample) - controlnet_down_block_res_samples += (down_block_res_sample,) - - down_block_res_samples = controlnet_down_block_res_samples - - mid_block_res_sample = self.controlnet_mid_block(sample) - - # 6. scaling - down_block_res_samples = [sample * conditioning_scale for sample in down_block_res_samples] - mid_block_res_sample *= conditioning_scale - - if not return_dict: - return (down_block_res_samples, mid_block_res_sample) - - return FlaxControlNetOutput( - down_block_res_samples=down_block_res_samples, mid_block_res_sample=mid_block_res_sample - ) diff --git a/spaces/dgnk007/dgnk007-crow/README.md b/spaces/dgnk007/dgnk007-crow/README.md deleted file mode 100644 index c908adb581d2ec74873904adf7a8ef6a93c0327c..0000000000000000000000000000000000000000 --- a/spaces/dgnk007/dgnk007-crow/README.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Dgnk007 Crow -emoji: 📉 -colorFrom: yellow -colorTo: green -sdk: gradio -sdk_version: 3.39.0 -app_file: app.py -pinned: false ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/dhof/shapetest/app_image_to_3d.py b/spaces/dhof/shapetest/app_image_to_3d.py deleted file mode 100644 index 4bb2857afe8735e74a6dce9195873dd52b24aaca..0000000000000000000000000000000000000000 --- a/spaces/dhof/shapetest/app_image_to_3d.py +++ /dev/null @@ -1,75 +0,0 @@ -#!/usr/bin/env python - -import pathlib -import shlex -import subprocess - -import gradio as gr - -from model import Model -from settings import CACHE_EXAMPLES, MAX_SEED -from utils import randomize_seed_fn - - -def create_demo(model: Model) -> gr.Blocks: - if not pathlib.Path('corgi.png').exists(): - subprocess.run( - shlex.split( - 'wget https://raw.githubusercontent.com/openai/shap-e/d99cedaea18e0989e340163dbaeb4b109fa9e8ec/shap_e/examples/example_data/corgi.png -O corgi.png' - )) - examples = ['corgi.png'] - - def process_example_fn(image_path: str) -> str: - return model.run_image(image_path) - - with gr.Blocks() as demo: - with gr.Box(): - image = gr.Image(label='Input image', - show_label=False, - type='filepath') - run_button = gr.Button('Run') - result = gr.Model3D(label='Result', show_label=False) - with gr.Accordion('Advanced options', open=False): - seed = gr.Slider(label='Seed', - minimum=0, - maximum=MAX_SEED, - step=1, - value=0) - randomize_seed = gr.Checkbox(label='Randomize seed', - value=True) - guidance_scale = gr.Slider(label='Guidance scale', - minimum=1, - maximum=20, - step=0.1, - value=3.0) - num_inference_steps = gr.Slider( - label='Number of inference steps', - minimum=1, - maximum=100, - step=1, - value=64) - - gr.Examples(examples=examples, - inputs=image, - outputs=result, - fn=process_example_fn, - cache_examples=CACHE_EXAMPLES) - - inputs = [ - image, - seed, - guidance_scale, - num_inference_steps, - ] - - run_button.click( - fn=randomize_seed_fn, - inputs=[seed, randomize_seed], - outputs=seed, - queue=False, - ).then( - fn=model.run_image, - inputs=inputs, - outputs=result, - ) - return demo diff --git a/spaces/diacanFperku/AutoGPT/Buku Tahta Untuk Rakyat Pdf 13.md b/spaces/diacanFperku/AutoGPT/Buku Tahta Untuk Rakyat Pdf 13.md deleted file mode 100644 index 3e089e20ff789c40c9c5e2143b3f049512b434a1..0000000000000000000000000000000000000000 --- a/spaces/diacanFperku/AutoGPT/Buku Tahta Untuk Rakyat Pdf 13.md +++ /dev/null @@ -1,64 +0,0 @@ - -

    Buku Tahta Untuk Rakyat PDF 13: Sebuah Karya Biografi yang Menginspirasi

    -

    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku biografi yang menceritakan tentang kehidupan Sultan Hamengku Buwono IX, salah satu tokoh penting dalam sejarah Indonesia. Buku ini ditulis oleh beberapa penulis terkenal, seperti Mohamad Roem, Mochtar Lubis, Atmakusumah, dan lain-lain. Buku ini pertama kali diterbitkan pada tahun 1982 oleh Gramedia.

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    Buku Tahta Untuk Rakyat PDF 13 mengungkap berbagai aspek kehidupan Sultan Hamengku Buwono IX, mulai dari masa kecilnya, pendidikannya, pernikahannya, hingga kiprahnya sebagai pemimpin dan negarawan. Buku ini juga menyajikan celah-celah kehidupan pribadi Sultan yang jarang diketahui publik, seperti hobi, cita-cita, dan pandangan hidupnya.

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    Buku Tahta Untuk Rakyat PDF 13 tidak hanya sekadar biografi, tetapi juga sebuah karya sastra yang mengandung nilai-nilai filosofis dan historis. Buku ini mengajarkan kita tentang konsep "tahta untuk rakyat", yaitu sebuah prinsip yang dianut oleh Sultan Hamengku Buwono IX dalam memimpin rakyatnya. Konsep ini menekankan bahwa seorang pemimpin harus mengabdikan dirinya untuk kepentingan rakyat, bukan untuk kekuasaan atau kekayaan.

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    Buku Tahta Untuk Rakyat PDF 13 juga memberikan kita pelajaran tentang sejarah Indonesia, khususnya masa perjuangan kemerdekaan dan pembangunan nasional. Buku ini menunjukkan bagaimana Sultan Hamengku Buwono IX berperan aktif dalam berbagai peristiwa penting, seperti Konferensi Meja Bundar, Deklarasi Djuanda, Konfrontasi Malaysia, hingga G30S/PKI.

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    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku yang layak dibaca oleh siapa saja yang ingin mengenal lebih dekat sosok Sultan Hamengku Buwono IX dan sejarah Indonesia. Buku ini juga dapat menjadi sumber inspirasi bagi kita untuk menjadi pemimpin yang bijaksana, demokratis, dan berintegritas. Buku ini dapat diunduh secara gratis dalam format PDF di situs-situs tertentu.

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    Buku Tahta Untuk Rakyat PDF 13 telah mendapatkan banyak tanggapan positif dari para pembaca yang tertarik dengan kisah Sultan Hamengku Buwono IX. Banyak pembaca yang merasa terinspirasi, teredukasi, dan terhibur oleh buku ini. Berikut adalah beberapa testimoni dari para pembaca yang telah membaca buku ini:

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    • "Buku ini adalah salah satu buku biografi terbaik yang pernah saya baca. Buku ini tidak hanya menyajikan fakta-fakta sejarah, tetapi juga memberikan analisis dan refleksi yang mendalam. Buku ini juga mengajarkan saya tentang nilai-nilai kehidupan yang dapat saya terapkan dalam kehidupan sehari-hari."
      • -
    • "Buku ini adalah sebuah karya sastra yang mengagumkan. Buku ini tidak hanya menceritakan tentang kehidupan Sultan Hamengku Buwono IX, tetapi juga tentang kehidupan rakyatnya. Buku ini juga mengandung pesan-pesan moral dan sosial yang relevan dengan kondisi bangsa Indonesia saat ini."
      • -
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    Bagaimana Cara Mendapatkan Buku Tahta Untuk Rakyat PDF 13?

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    Buku Tahta Untuk Rakyat PDF 13 dapat Anda dapatkan dengan mudah dan cepat melalui internet. Anda dapat mengunduh buku ini secara gratis dalam format PDF di situs-situs tertentu yang menyediakan layanan download buku gratis. Anda juga dapat membaca buku ini secara online di situs-situs yang menyediakan layanan baca buku online.

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    Selain itu, Anda juga dapat membeli buku Tahta Untuk Rakyat PDF 13 dalam bentuk cetak di toko-toko buku online atau offline yang menjual buku-buku sejarah atau biografi. Anda dapat membandingkan harga dan kualitas buku di berbagai toko buku sebelum membelinya. Anda juga dapat membaca ulasan-ulasan dari para pembeli lainnya untuk mengetahui kualitas buku dan pelayanan toko buku tersebut.

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    Mengapa Buku Tahta Untuk Rakyat PDF 13 Penting untuk Dibaca?

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    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku yang penting untuk dibaca oleh siapa saja yang ingin memahami sejarah dan budaya Indonesia. Buku ini memberikan kita gambaran tentang bagaimana Sultan Hamengku Buwono IX memimpin rakyatnya dengan bijak, adil, dan demokratis. Buku ini juga menunjukkan bagaimana Sultan Hamengku Buwono IX berkontribusi dalam perjuangan dan pembangunan bangsa Indonesia.

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    Buku Tahta Untuk Rakyat PDF 13 juga penting untuk dibaca karena buku ini mengandung nilai-nilai yang dapat dijadikan sebagai pedoman hidup bagi kita semua. Buku ini mengajarkan kita tentang makna "tahta untuk rakyat", yaitu sebuah prinsip yang mengutamakan kepentingan rakyat di atas segalanya. Buku ini juga mengajarkan kita tentang pentingnya toleransi, kerjasama, dan persatuan dalam menghadapi berbagai tantangan dan masalah.

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    Apa yang Harus Anda Perhatikan Saat Membaca Buku Tahta Untuk Rakyat PDF 13?

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    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku yang menarik dan bermanfaat, tetapi juga membutuhkan perhatian dan pemahaman yang baik saat membacanya. Berikut adalah beberapa hal yang harus Anda perhatikan saat membaca buku ini:

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    • Buku ini ditulis oleh beberapa penulis yang memiliki latar belakang dan sudut pandang yang berbeda-beda. Anda harus kritis dan objektif dalam menilai kebenaran dan relevansi informasi yang disajikan oleh masing-masing penulis.
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    • Buku ini mengandung banyak istilah-istilah yang mungkin asing bagi Anda, seperti "manuggaling kawula gusti", "Deklarasi Djuanda", "G30S/PKI", dan lain-lain. Anda harus mencari tahu arti dan konteks dari istilah-istilah tersebut agar dapat memahami maksud dan makna dari buku ini.
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    • Buku ini ditulis dalam bahasa Indonesia yang baku dan formal, dengan menggunakan ejaan yang sesuai dengan Pedoman Umum Ejaan Bahasa Indonesia (PUEBI). Anda harus membiasakan diri dengan ejaan dan tata bahasa yang digunakan oleh buku ini agar dapat membacanya dengan lancar dan nyaman.
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    Apa yang Dibahas dalam Buku Tahta Untuk Rakyat PDF 13?

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    Buku Tahta Untuk Rakyat PDF 13 dibagi menjadi beberapa bab yang membahas berbagai aspek kehidupan Sultan Hamengku Buwono IX. Berikut adalah beberapa bab yang terdapat dalam buku ini:

    -
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    • Bab I: Masa Kecil dan Pendidikan. Bab ini menceritakan tentang latar belakang keluarga, tempat dan tanggal lahir, nama asli, dan pendidikan Sultan Hamengku Buwono IX.
      • -
    • Bab II: Masa Pernikahan dan Keluarga. Bab ini menceritakan tentang pernikahan pertama dan kedua, jumlah dan nama anak-anak, serta hubungan keluarga Sultan Hamengku Buwono IX.
      • -
    • Bab III: Masa Pemerintahan dan Politik. Bab ini menceritakan tentang proses naik tahta, visi dan misi, kebijakan-kebijakan, peran dalam perjuangan kemerdekaan dan pembangunan nasional, serta hubungan dengan pihak-pihak lain Sultan Hamengku Buwono IX.
      • -
    • Bab IV: Masa Pensiuun dan Wafat. Bab ini menceritakan tentang alasan pensiun, kegiatan-kegiatan setelah pensiun, penyakit dan wafat, serta upacara pemakaman Sultan Hamengku Buwono IX.
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    Apa yang Diharapkan dari Buku Tahta Untuk Rakyat PDF 13?

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    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku yang diharapkan dapat memberikan manfaat bagi para pembacanya. Berikut adalah beberapa harapan dari buku ini:

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    • Harapan dari penulis: Penulis berharap bahwa buku ini dapat menjadi sumber informasi yang akurat dan lengkap tentang kehidupan Sultan Hamengku Buwono IX. Penulis juga berharap bahwa buku ini dapat menjadi karya sastra yang bermutu dan berdaya tarik.
      • -
    • Harapan dari pembaca: Pembaca berharap bahwa buku ini dapat menjadi bahan bacaan yang menarik dan bermanfaat. Pembaca juga berharap bahwa buku ini dapat menjadi inspirasi dan motivasi bagi mereka untuk menjadi pribadi yang lebih baik.
      • -
    • Harapan dari masyarakat: Masyarakat berharap bahwa buku ini dapat menjadi media edukasi dan sosialisasi tentang sejarah dan budaya Indonesia. Masyarakat juga berharap bahwa buku ini dapat menjadi sarana pelestarian dan pengembangan nilai-nilai luhur bangsa Indonesia.
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    Apa yang Menarik dari Buku Tahta Untuk Rakyat PDF 13?

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    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku yang menarik dan unik, karena buku ini tidak hanya berisi tentang fakta-fakta sejarah, tetapi juga tentang pengalaman-pengalaman pribadi dari para penulisnya. Buku ini menampilkan sudut pandang yang berbeda-beda dari para penulis yang memiliki hubungan dekat dengan Sultan Hamengku Buwono IX. Buku ini juga menyertakan foto-foto, dokumen-dokumen, dan kutipan-kutipan yang menambah nilai kesejarahan dan kesastrawan dari buku ini.

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    Buku Tahta Untuk Rakyat PDF 13 juga menarik karena buku ini mengungkapkan rahasia-rahasia yang jarang diketahui publik tentang Sultan Hamengku Buwono IX. Buku ini membongkar berbagai hal yang tersembunyi di balik tahta dan gelar Sultan, seperti hobi, cita-cita, cinta, dan kelemahan-kelemahan Sultan. Buku ini juga mengungkapkan bagaimana Sultan Hamengku Buwono IX menghadapi berbagai konflik dan krisis yang mengancam kedaulatan dan keutuhan bangsa Indonesia.

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    Apa yang Dapat Anda Pelajari dari Buku Tahta Untuk Rakyat PDF 13?

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    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku yang dapat memberikan banyak pelajaran bagi para pembacanya. Berikut adalah beberapa hal yang dapat Anda pelajari dari buku ini:

    -
      -
    • Anda dapat mempelajari tentang sejarah Indonesia, khususnya masa perjuangan kemerdekaan dan pembangunan nasional. Anda dapat mengetahui bagaimana peran dan kontribusi Sultan Hamengku Buwono IX dalam berbagai peristiwa penting yang membentuk sejarah Indonesia.
      • -
    • Anda dapat mempelajari tentang budaya Indonesia, khususnya budaya Jawa dan Yogyakarta. Anda dapat mengetahui bagaimana Sultan Hamengku Buwono IX menjaga dan melestarikan budaya Jawa dan Yogyakarta, serta mengembangkan budaya baru yang sesuai dengan perkembangan zaman.
      • -
    • Anda dapat mempelajari tentang filsafat Indonesia, khususnya filsafat kenegaraan. Anda dapat mengetahui bagaimana Sultan Hamengku Buwono IX menerapkan konsep "tahta untuk rakyat" sebagai prinsip dasar dalam memimpin rakyatnya. Anda juga dapat mengetahui bagaimana konsep ini relevan dengan kondisi Indonesia saat ini.
      • -
    -

    Kesimpulan

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    Buku Tahta Untuk Rakyat PDF 13 adalah sebuah buku yang sangat layak untuk dibaca oleh siapa saja yang ingin mengenal lebih dekat sosok Sultan Hamengku Buwono IX dan sejarah Indonesia. Buku ini adalah sebuah karya biografi yang mengandung nilai-nilai filosofis, historis, dan sastra. Buku ini juga adalah sebuah karya inspirasi yang dapat memberikan kita pelajaran tentang sejarah, budaya, filsafat, dan kehidupan.

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    Buku Tahta Untuk Rakyat PDF 13 dapat diunduh secara gratis dalam format PDF di situs-situs tertentu yang menyediakan layanan download buku gratis. Anda juga dapat membaca buku ini secara online di situs-situs yang menyediakan layanan baca buku online. Selain itu, Anda juga dapat membeli buku Tahta Untuk Rakyat PDF 13 dalam bentuk cetak di toko-toko buku online atau offline yang menjual buku-buku sejarah atau biografi.

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    Demikianlah ulasan singkat tentang buku Tahta Untuk Rakyat PDF 13. Semoga artikel ini bermanfaat bagi Anda yang tertarik dengan buku ini. Selamat membaca dan terima kasih.

    3cee63e6c2
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    \ No newline at end of file diff --git a/spaces/diacanFperku/AutoGPT/Dil Ka Kya Kasoor Download 720p Movies [HOT].md b/spaces/diacanFperku/AutoGPT/Dil Ka Kya Kasoor Download 720p Movies [HOT].md deleted file mode 100644 index 48a83c238f9f026852a0517e389204fc724d0444..0000000000000000000000000000000000000000 --- a/spaces/diacanFperku/AutoGPT/Dil Ka Kya Kasoor Download 720p Movies [HOT].md +++ /dev/null @@ -1,26 +0,0 @@ -
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    Dil Ka Kya Kasoor: A Musical Melodrama That Tugs At Your Heartstrings

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    Dil Ka Kya Kasoor is a 1992 Hindi movie that tells the story of Shalini, a rich girl who falls in love with Arun, a poor orphan who becomes a successful singer with her help. However, fate separates them and Shalini suffers from a terminal illness. The movie is directed by Lawrence D'Souza and stars Divya Bharti and Prithvi in the lead roles.

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    The movie is known for its melodious songs composed by Nadeem-Shravan and written by Sameer, Nawab Arzoo, Anwar Sagar and Madan Pal. The songs are sung by Kumar Sanu, Alka Yagnik, Asha Bhosle, Sadhana Sargam and Udit Narayan. Some of the popular songs are "Dil Jigar Nazar Kya Hai", "Mera Sanam Sabse Pyara Hai", "Aashiqui Mein Har Aashiq", "Gaa Raha Hoon Is Mehfil Mein" and "Khata Toh Jab Ho". The songs are still loved by the fans of 90s Bollywood music.

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    If you want to watch this movie in high quality, you can download it in 720p from various online platforms. However, you should be aware of the legal and ethical issues involved in downloading pirated content. You should always respect the hard work of the filmmakers and artists and support them by watching their movies legally.

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    Dil Ka Kya Kasoor is a movie that will make you cry, smile and sing along. It is a movie that celebrates love, music and life. It is a movie that you should not miss.

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    The movie was released on 31 January 1992 and faced stiff competition from other movies like Deewana Mujh Sa Nahin, Saajan and Beta. The movie was a musical bonanza, but failed to create an impact at the box office becoming a box office bomb. It collected only 1.75 crore in India and was declared a flop by trade analysts.

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    However, the movie gained a cult following over the years and is now considered a classic by many fans. The movie is praised for its emotional story, realistic portrayal of characters and situations, and soulful music. The movie also showcases the talent and beauty of Divya Bharti, who died tragically in 1993 at the age of 19. Her performance as Shalini is considered one of her best and most memorable roles.

    - -

    The movie also marked the debut of Prithvi, who played Arun with sincerity and charm. He went on to act in several movies like Platform, Balmaa and Ravan Raaj, but could not achieve much success. He later shifted to television and appeared in shows like Kkusum, Kahaani Ghar Ghar Kii and Kumkum.

    - -

    The movie also has some interesting trivia that might surprise you. For instance, actor Prithvi, who played Arun, constantly badmouthed Divya Bharti behind her back throughout the making of the film. He was jealous of her popularity and success and tried to undermine her confidence. However, Divya Bharti ignored his remarks and focused on her work.

    - -

    Another trivia is that the song "Dil Jigar Nazar Kya Hai" was inspired by a song called "Escape" by The Ventures, an American instrumental rock band. The song was used as background music in another movie called Haseeno Ka Devta. Nadeem-Shravan recreated the tune with Hindi lyrics for Dil Ka Kya Kasoor. The song was a huge hit and became one of Kumar Sanu's signature songs.

    - -

    The movie also marked the debut of Sanam, who played Shalini's friend Madhu. She later acted in movies like Khiladi, Chamatkar and Hum Hain Rahi Pyar Ke. She also became a successful singer and sang songs like "Ishq Mein Mere Rabba", "Tumhein Apna Banane Ki Kasam" and "Mujhe Neend Na Aaye".

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    \ No newline at end of file diff --git a/spaces/diacanFperku/AutoGPT/Principios De Bioquimica Lehninger Pdf 5 Edicion Pdf.md b/spaces/diacanFperku/AutoGPT/Principios De Bioquimica Lehninger Pdf 5 Edicion Pdf.md deleted file mode 100644 index 2b59f84444d4cb9d13186338d56c7aee3fb38e16..0000000000000000000000000000000000000000 --- a/spaces/diacanFperku/AutoGPT/Principios De Bioquimica Lehninger Pdf 5 Edicion Pdf.md +++ /dev/null @@ -1,6 +0,0 @@ -

    principios de bioquimica lehninger pdf 5 edicion pdf


    DOWNLOAD ⏩ https://gohhs.com/2uFVgN



    -
    -Le retour de l'événement. Communications, 18(1), 6–20. Nelson, D., & Cox, M. (2015). Lehninger. Principios de Bioquimica-6a Edicion. Barcelona: OMEGA. Nickel, W. (1999). & Lee, I., & Cameron, M. (ed.). Bioinformatics. Basic principles and applications. M.: Mir. See, for example: Rotenberg, R.S. (1990). Methods of data analysis. M.: Mir. Pelletier, J. & Sauvant, R. (2005). Tectonic structure of the Sacred Mountain of Judeo–Christian cultures in the Eurasian southeast. Science. Vol. 300, no. 6989, pp. 1085–1090. Pelletier, J. & Sauvant, 8a78ff9644
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    diff --git a/spaces/digitalxingtong/Eileen-Bert-Vits2/monotonic_align/core.c b/spaces/digitalxingtong/Eileen-Bert-Vits2/monotonic_align/core.c deleted file mode 100644 index 5f8af54d32474f821e9d1f4d2679d78128722596..0000000000000000000000000000000000000000 --- a/spaces/digitalxingtong/Eileen-Bert-Vits2/monotonic_align/core.c +++ /dev/null @@ -1,26530 +0,0 @@ -/* Generated by Cython 3.0.0 */ - -/* BEGIN: Cython Metadata -{ - "distutils": { - "name": "monotonic_align.core", - "sources": [ - "core.pyx" - ] - }, - "module_name": "monotonic_align.core" -} -END: Cython Metadata */ - -#ifndef PY_SSIZE_T_CLEAN -#define PY_SSIZE_T_CLEAN -#endif /* PY_SSIZE_T_CLEAN */ -#if defined(CYTHON_LIMITED_API) && 0 - #ifndef Py_LIMITED_API - #if CYTHON_LIMITED_API+0 > 0x03030000 - #define Py_LIMITED_API CYTHON_LIMITED_API - #else - #define Py_LIMITED_API 0x03030000 - #endif - #endif -#endif - -#include "Python.h" -#ifndef Py_PYTHON_H - #error Python headers needed to compile C extensions, please install development version of Python. -#elif PY_VERSION_HEX < 0x02070000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) - #error Cython requires Python 2.7+ or Python 3.3+. -#else -#define CYTHON_ABI "3_0_0" -#define __PYX_ABI_MODULE_NAME "_cython_" CYTHON_ABI -#define __PYX_TYPE_MODULE_PREFIX __PYX_ABI_MODULE_NAME "." -#define CYTHON_HEX_VERSION 0x030000F0 -#define CYTHON_FUTURE_DIVISION 1 -#include -#ifndef offsetof - #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) -#endif -#if !defined(_WIN32) && !defined(WIN32) && !defined(MS_WINDOWS) - #ifndef __stdcall - #define __stdcall - #endif - #ifndef __cdecl - #define __cdecl - #endif - #ifndef __fastcall - #define __fastcall - #endif -#endif -#ifndef DL_IMPORT - #define DL_IMPORT(t) t -#endif -#ifndef DL_EXPORT - #define DL_EXPORT(t) t -#endif -#define __PYX_COMMA , -#ifndef HAVE_LONG_LONG - #define HAVE_LONG_LONG -#endif -#ifndef PY_LONG_LONG - #define PY_LONG_LONG LONG_LONG -#endif -#ifndef Py_HUGE_VAL - #define Py_HUGE_VAL HUGE_VAL -#endif -#if defined(GRAALVM_PYTHON) - /* For very preliminary testing purposes. 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#endif -#elif defined(PYPY_VERSION) - #define CYTHON_COMPILING_IN_PYPY 1 - #define CYTHON_COMPILING_IN_CPYTHON 0 - #define CYTHON_COMPILING_IN_LIMITED_API 0 - #define CYTHON_COMPILING_IN_GRAAL 0 - #define CYTHON_COMPILING_IN_NOGIL 0 - #undef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 0 - #undef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 0 - #undef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 0 - #if PY_VERSION_HEX < 0x03050000 - #undef CYTHON_USE_ASYNC_SLOTS - #define CYTHON_USE_ASYNC_SLOTS 0 - #elif !defined(CYTHON_USE_ASYNC_SLOTS) - #define CYTHON_USE_ASYNC_SLOTS 1 - #endif - #undef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 0 - #undef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 0 - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #undef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 0 - #undef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 1 - #undef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 0 - #undef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 0 - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #undef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL 0 - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS (PY_MAJOR_VERSION >= 3) - #endif - #if PY_VERSION_HEX < 0x03090000 - #undef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 0 - #elif !defined(CYTHON_PEP489_MULTI_PHASE_INIT) - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #undef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #undef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1 && PYPY_VERSION_NUM >= 0x07030C00) - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 0 - #endif -#elif defined(CYTHON_LIMITED_API) - #define CYTHON_COMPILING_IN_PYPY 0 - #define CYTHON_COMPILING_IN_CPYTHON 0 - #define CYTHON_COMPILING_IN_LIMITED_API 1 - #define CYTHON_COMPILING_IN_GRAAL 0 - #define CYTHON_COMPILING_IN_NOGIL 0 - #undef CYTHON_CLINE_IN_TRACEBACK - #define CYTHON_CLINE_IN_TRACEBACK 0 - #undef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 0 - #undef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 1 - #undef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 0 - #undef CYTHON_USE_ASYNC_SLOTS - #define CYTHON_USE_ASYNC_SLOTS 0 - #undef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 0 - #undef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 0 - #ifndef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #endif - #undef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 0 - #ifndef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 0 - #endif - #undef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 0 - #undef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 0 - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #undef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL 0 - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #undef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 0 - #undef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 1 - #ifndef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 1 - #endif - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 0 - #endif -#elif defined(PY_NOGIL) - #define CYTHON_COMPILING_IN_PYPY 0 - #define CYTHON_COMPILING_IN_CPYTHON 0 - #define CYTHON_COMPILING_IN_LIMITED_API 0 - #define CYTHON_COMPILING_IN_GRAAL 0 - #define CYTHON_COMPILING_IN_NOGIL 1 - #ifndef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 1 - #endif - #undef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 0 - #ifndef CYTHON_USE_ASYNC_SLOTS - #define CYTHON_USE_ASYNC_SLOTS 1 - #endif - #undef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 0 - #ifndef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 1 - #endif - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #undef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 0 - #ifndef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 0 - #endif - #ifndef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 1 - #endif - #ifndef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 1 - #endif - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #ifndef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 1 - #endif - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 -#else - #define CYTHON_COMPILING_IN_PYPY 0 - #define CYTHON_COMPILING_IN_CPYTHON 1 - #define CYTHON_COMPILING_IN_LIMITED_API 0 - #define CYTHON_COMPILING_IN_GRAAL 0 - #define CYTHON_COMPILING_IN_NOGIL 0 - #ifndef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 1 - #endif - #ifndef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 0 - #endif - #ifndef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 1 - #endif - #if PY_MAJOR_VERSION < 3 - #undef CYTHON_USE_ASYNC_SLOTS - #define CYTHON_USE_ASYNC_SLOTS 0 - #elif !defined(CYTHON_USE_ASYNC_SLOTS) - #define CYTHON_USE_ASYNC_SLOTS 1 - #endif - #ifndef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 1 - #endif - #ifndef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 1 - #endif - #ifndef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 1 - #endif - #if PY_VERSION_HEX < 0x030300F0 || PY_VERSION_HEX >= 0x030B00A2 - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #elif !defined(CYTHON_USE_UNICODE_WRITER) - #define CYTHON_USE_UNICODE_WRITER 1 - #endif - #ifndef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 0 - #endif - #ifndef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 1 - #endif - #ifndef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 1 - #endif - #ifndef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 1 - #endif - #ifndef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL (PY_MAJOR_VERSION < 3 || PY_VERSION_HEX >= 0x03060000 && PY_VERSION_HEX < 0x030C00A6) - #endif - #ifndef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL (PY_VERSION_HEX >= 0x030700A1) - #endif - #ifndef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 1 - #endif - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #if PY_VERSION_HEX < 0x03050000 - #undef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 0 - #elif !defined(CYTHON_PEP489_MULTI_PHASE_INIT) - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #ifndef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #endif - #if PY_VERSION_HEX < 0x030400a1 - #undef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 0 - #elif !defined(CYTHON_USE_TP_FINALIZE) - #define CYTHON_USE_TP_FINALIZE 1 - #endif - #if PY_VERSION_HEX < 0x030600B1 - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #elif !defined(CYTHON_USE_DICT_VERSIONS) - #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX < 0x030C00A5) - #endif - #if PY_VERSION_HEX < 0x030700A3 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 - #elif !defined(CYTHON_USE_EXC_INFO_STACK) - #define CYTHON_USE_EXC_INFO_STACK 1 - #endif - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 1 - #endif -#endif -#if !defined(CYTHON_FAST_PYCCALL) -#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) -#endif -#if !defined(CYTHON_VECTORCALL) -#define CYTHON_VECTORCALL (CYTHON_FAST_PYCCALL && PY_VERSION_HEX >= 0x030800B1) -#endif -#define CYTHON_BACKPORT_VECTORCALL (CYTHON_METH_FASTCALL && PY_VERSION_HEX < 0x030800B1) -#if CYTHON_USE_PYLONG_INTERNALS - #if PY_MAJOR_VERSION < 3 - #include "longintrepr.h" - #endif - #undef SHIFT - #undef BASE - #undef MASK - #ifdef SIZEOF_VOID_P - enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; - #endif -#endif -#ifndef __has_attribute - #define __has_attribute(x) 0 -#endif -#ifndef __has_cpp_attribute - #define __has_cpp_attribute(x) 0 -#endif -#ifndef CYTHON_RESTRICT - #if defined(__GNUC__) - #define CYTHON_RESTRICT __restrict__ - #elif defined(_MSC_VER) && _MSC_VER >= 1400 - #define CYTHON_RESTRICT __restrict - #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define CYTHON_RESTRICT restrict - #else - #define CYTHON_RESTRICT - #endif -#endif -#ifndef CYTHON_UNUSED - #if defined(__cplusplus) - /* for clang __has_cpp_attribute(maybe_unused) is true even before C++17 - * but leads to warnings with -pedantic, since it is a C++17 feature */ - #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) - #if __has_cpp_attribute(maybe_unused) - #define CYTHON_UNUSED [[maybe_unused]] - #endif - #endif - #endif -#endif -#ifndef CYTHON_UNUSED -# if defined(__GNUC__) -# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) -# define CYTHON_UNUSED __attribute__ ((__unused__)) -# else -# define CYTHON_UNUSED -# endif -# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) -# define CYTHON_UNUSED __attribute__ ((__unused__)) -# else -# define CYTHON_UNUSED -# endif -#endif -#ifndef CYTHON_UNUSED_VAR -# if defined(__cplusplus) - template void CYTHON_UNUSED_VAR( const T& ) { } -# else -# define CYTHON_UNUSED_VAR(x) (void)(x) -# endif -#endif -#ifndef CYTHON_MAYBE_UNUSED_VAR - #define CYTHON_MAYBE_UNUSED_VAR(x) CYTHON_UNUSED_VAR(x) -#endif -#ifndef CYTHON_NCP_UNUSED -# if CYTHON_COMPILING_IN_CPYTHON -# define CYTHON_NCP_UNUSED -# else -# define CYTHON_NCP_UNUSED CYTHON_UNUSED -# endif -#endif -#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) -#ifdef _MSC_VER - #ifndef _MSC_STDINT_H_ - #if _MSC_VER < 1300 - typedef unsigned char uint8_t; - typedef unsigned short uint16_t; - typedef unsigned int uint32_t; - #else - typedef unsigned __int8 uint8_t; - typedef unsigned __int16 uint16_t; - typedef unsigned __int32 uint32_t; - #endif - #endif - #if _MSC_VER < 1300 - #ifdef _WIN64 - typedef unsigned long long __pyx_uintptr_t; - #else - typedef unsigned int __pyx_uintptr_t; - #endif - #else - #ifdef _WIN64 - typedef unsigned __int64 __pyx_uintptr_t; - #else - typedef unsigned __int32 __pyx_uintptr_t; - #endif - #endif -#else - #include - typedef uintptr_t __pyx_uintptr_t; -#endif -#ifndef CYTHON_FALLTHROUGH - #if defined(__cplusplus) - /* for clang __has_cpp_attribute(fallthrough) is true even before C++17 - * but leads to warnings with -pedantic, since it is a C++17 feature */ - #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) - #if __has_cpp_attribute(fallthrough) - #define CYTHON_FALLTHROUGH [[fallthrough]] - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_cpp_attribute(clang::fallthrough) - #define CYTHON_FALLTHROUGH [[clang::fallthrough]] - #elif __has_cpp_attribute(gnu::fallthrough) - #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] - #endif - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_attribute(fallthrough) - #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) - #else - #define CYTHON_FALLTHROUGH - #endif - #endif - #if defined(__clang__) && defined(__apple_build_version__) - #if __apple_build_version__ < 7000000 - #undef CYTHON_FALLTHROUGH - #define CYTHON_FALLTHROUGH - #endif - #endif -#endif -#ifdef __cplusplus - template - struct __PYX_IS_UNSIGNED_IMPL {static const bool value = T(0) < T(-1);}; - #define __PYX_IS_UNSIGNED(type) (__PYX_IS_UNSIGNED_IMPL::value) -#else - #define __PYX_IS_UNSIGNED(type) (((type)-1) > 0) -#endif -#if CYTHON_COMPILING_IN_PYPY == 1 - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x030A0000) -#else - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000) -#endif -#define __PYX_REINTERPRET_FUNCION(func_pointer, other_pointer) ((func_pointer)(void(*)(void))(other_pointer)) - -#ifndef CYTHON_INLINE - #if defined(__clang__) - #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) - #elif defined(__GNUC__) - #define CYTHON_INLINE __inline__ - #elif defined(_MSC_VER) - #define CYTHON_INLINE __inline - #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define CYTHON_INLINE inline - #else - #define CYTHON_INLINE - #endif -#endif - -#define __PYX_BUILD_PY_SSIZE_T "n" -#define CYTHON_FORMAT_SSIZE_T "z" -#if PY_MAJOR_VERSION < 3 - #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" - #define __Pyx_DefaultClassType PyClass_Type - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#else - #define __Pyx_BUILTIN_MODULE_NAME "builtins" - #define __Pyx_DefaultClassType PyType_Type -#if PY_VERSION_HEX >= 0x030B00A1 - static CYTHON_INLINE PyCodeObject* __Pyx_PyCode_New(int a, int p, int k, int l, int s, int f, - PyObject *code, PyObject *c, PyObject* n, PyObject *v, - PyObject *fv, PyObject *cell, PyObject* fn, - PyObject *name, int fline, PyObject *lnos) { - PyObject *kwds=NULL, *argcount=NULL, *posonlyargcount=NULL, *kwonlyargcount=NULL; - PyObject *nlocals=NULL, *stacksize=NULL, *flags=NULL, *replace=NULL, *empty=NULL; - const char *fn_cstr=NULL; - const char *name_cstr=NULL; - PyCodeObject *co=NULL, *result=NULL; - PyObject *type, *value, *traceback; - PyErr_Fetch(&type, &value, &traceback); - if (!(kwds=PyDict_New())) goto end; - if (!(argcount=PyLong_FromLong(a))) goto end; - if (PyDict_SetItemString(kwds, "co_argcount", argcount) != 0) goto end; - if (!(posonlyargcount=PyLong_FromLong(p))) goto end; - if (PyDict_SetItemString(kwds, "co_posonlyargcount", posonlyargcount) != 0) goto end; - if (!(kwonlyargcount=PyLong_FromLong(k))) goto end; - if (PyDict_SetItemString(kwds, "co_kwonlyargcount", kwonlyargcount) != 0) goto end; - if (!(nlocals=PyLong_FromLong(l))) goto end; - if (PyDict_SetItemString(kwds, "co_nlocals", nlocals) != 0) goto end; - if (!(stacksize=PyLong_FromLong(s))) goto end; - if (PyDict_SetItemString(kwds, "co_stacksize", stacksize) != 0) goto end; - if (!(flags=PyLong_FromLong(f))) goto end; - if (PyDict_SetItemString(kwds, "co_flags", flags) != 0) goto end; - if (PyDict_SetItemString(kwds, "co_code", code) != 0) goto end; - if (PyDict_SetItemString(kwds, "co_consts", c) != 0) goto end; - if (PyDict_SetItemString(kwds, "co_names", n) != 0) goto end; - if (PyDict_SetItemString(kwds, "co_varnames", v) != 0) goto end; - if (PyDict_SetItemString(kwds, "co_freevars", fv) != 0) goto end; - if (PyDict_SetItemString(kwds, "co_cellvars", cell) != 0) goto end; - if (PyDict_SetItemString(kwds, "co_linetable", lnos) != 0) goto end; - if (!(fn_cstr=PyUnicode_AsUTF8AndSize(fn, NULL))) goto end; - if (!(name_cstr=PyUnicode_AsUTF8AndSize(name, NULL))) goto end; - if (!(co = PyCode_NewEmpty(fn_cstr, name_cstr, fline))) goto end; - if (!(replace = PyObject_GetAttrString((PyObject*)co, "replace"))) goto end; - if (!(empty = PyTuple_New(0))) goto end; - result = (PyCodeObject*) PyObject_Call(replace, empty, kwds); - end: - Py_XDECREF((PyObject*) co); - Py_XDECREF(kwds); - Py_XDECREF(argcount); - Py_XDECREF(posonlyargcount); - Py_XDECREF(kwonlyargcount); - Py_XDECREF(nlocals); - Py_XDECREF(stacksize); - Py_XDECREF(replace); - Py_XDECREF(empty); - if (type) { - PyErr_Restore(type, value, traceback); - } - return result; - } -#elif PY_VERSION_HEX >= 0x030800B2 && !CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_NewWithPosOnlyArgs(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#else - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#endif -#endif -#if PY_VERSION_HEX >= 0x030900A4 || defined(Py_IS_TYPE) - #define __Pyx_IS_TYPE(ob, type) Py_IS_TYPE(ob, type) -#else - #define __Pyx_IS_TYPE(ob, type) (((const PyObject*)ob)->ob_type == (type)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_Is) - #define __Pyx_Py_Is(x, y) Py_Is(x, y) -#else - #define __Pyx_Py_Is(x, y) ((x) == (y)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsNone) - #define __Pyx_Py_IsNone(ob) Py_IsNone(ob) -#else - #define __Pyx_Py_IsNone(ob) __Pyx_Py_Is((ob), Py_None) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsTrue) - #define __Pyx_Py_IsTrue(ob) Py_IsTrue(ob) -#else - #define __Pyx_Py_IsTrue(ob) __Pyx_Py_Is((ob), Py_True) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsFalse) - #define __Pyx_Py_IsFalse(ob) Py_IsFalse(ob) -#else - #define __Pyx_Py_IsFalse(ob) __Pyx_Py_Is((ob), Py_False) -#endif -#define __Pyx_NoneAsNull(obj) (__Pyx_Py_IsNone(obj) ? NULL : (obj)) -#if PY_VERSION_HEX >= 0x030900F0 && !CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyObject_GC_IsFinalized(o) PyObject_GC_IsFinalized(o) -#else - #define __Pyx_PyObject_GC_IsFinalized(o) _PyGC_FINALIZED(o) -#endif -#ifndef CO_COROUTINE - #define CO_COROUTINE 0x80 -#endif -#ifndef CO_ASYNC_GENERATOR - #define CO_ASYNC_GENERATOR 0x200 -#endif -#ifndef Py_TPFLAGS_CHECKTYPES - #define Py_TPFLAGS_CHECKTYPES 0 -#endif -#ifndef Py_TPFLAGS_HAVE_INDEX - #define Py_TPFLAGS_HAVE_INDEX 0 -#endif -#ifndef Py_TPFLAGS_HAVE_NEWBUFFER - #define Py_TPFLAGS_HAVE_NEWBUFFER 0 -#endif -#ifndef Py_TPFLAGS_HAVE_FINALIZE - #define Py_TPFLAGS_HAVE_FINALIZE 0 -#endif -#ifndef Py_TPFLAGS_SEQUENCE - #define Py_TPFLAGS_SEQUENCE 0 -#endif -#ifndef Py_TPFLAGS_MAPPING - #define Py_TPFLAGS_MAPPING 0 -#endif -#ifndef METH_STACKLESS - #define METH_STACKLESS 0 -#endif -#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) - #ifndef METH_FASTCALL - #define METH_FASTCALL 0x80 - #endif - typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); - typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, - Py_ssize_t nargs, PyObject *kwnames); -#else - #define __Pyx_PyCFunctionFast _PyCFunctionFast - #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords -#endif -#if CYTHON_METH_FASTCALL - #define __Pyx_METH_FASTCALL METH_FASTCALL - #define __Pyx_PyCFunction_FastCall __Pyx_PyCFunctionFast - #define __Pyx_PyCFunction_FastCallWithKeywords __Pyx_PyCFunctionFastWithKeywords -#else - #define __Pyx_METH_FASTCALL METH_VARARGS - #define __Pyx_PyCFunction_FastCall PyCFunction - #define __Pyx_PyCFunction_FastCallWithKeywords PyCFunctionWithKeywords -#endif -#if CYTHON_VECTORCALL - #define __pyx_vectorcallfunc vectorcallfunc - #define __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET PY_VECTORCALL_ARGUMENTS_OFFSET - #define __Pyx_PyVectorcall_NARGS(n) PyVectorcall_NARGS((size_t)(n)) -#elif CYTHON_BACKPORT_VECTORCALL - typedef PyObject *(*__pyx_vectorcallfunc)(PyObject *callable, PyObject *const *args, - size_t nargsf, PyObject *kwnames); 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Use 'CYTHON_EXTERN_C' instead.") - #else - #warning Please do not define the '__PYX_EXTERN_C' macro externally. 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-value : value) -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); -#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) -#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) -#define __Pyx_PyBytes_FromString PyBytes_FromString -#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); -#if PY_MAJOR_VERSION < 3 - #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString - #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize -#else - #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString - #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize -#endif -#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyObject_AsWritableString(s) ((char*)(__pyx_uintptr_t) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsWritableSString(s) ((signed char*)(__pyx_uintptr_t) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*)(__pyx_uintptr_t) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) -#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) -#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) -#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) -#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) -#if CYTHON_COMPILING_IN_LIMITED_API -static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const wchar_t *u) -{ - const wchar_t *u_end = u; - while (*u_end++) ; - return (size_t)(u_end - u - 1); -} -#else -static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) -{ - const Py_UNICODE *u_end = u; - while (*u_end++) ; - return (size_t)(u_end - u - 1); -} -#endif -#define __Pyx_PyUnicode_FromOrdinal(o) PyUnicode_FromOrdinal((int)o) -#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) -#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode -#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode -#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) -#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) -static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); -#define __Pyx_PySequence_Tuple(obj)\ - (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); -static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject*); -#if CYTHON_ASSUME_SAFE_MACROS -#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) -#else -#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) -#endif -#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) -#if PY_MAJOR_VERSION >= 3 -#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) -#else -#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) -#endif -#if CYTHON_USE_PYLONG_INTERNALS - #if PY_VERSION_HEX >= 0x030C00A7 - #ifndef _PyLong_SIGN_MASK - #define _PyLong_SIGN_MASK 3 - #endif - #ifndef _PyLong_NON_SIZE_BITS - #define _PyLong_NON_SIZE_BITS 3 - #endif - #define __Pyx_PyLong_Sign(x) (((PyLongObject*)x)->long_value.lv_tag & _PyLong_SIGN_MASK) - #define __Pyx_PyLong_IsNeg(x) ((__Pyx_PyLong_Sign(x) & 2) != 0) - #define __Pyx_PyLong_IsNonNeg(x) (!__Pyx_PyLong_IsNeg(x)) - #define __Pyx_PyLong_IsZero(x) (__Pyx_PyLong_Sign(x) & 1) - #define __Pyx_PyLong_IsPos(x) (__Pyx_PyLong_Sign(x) == 0) - #define __Pyx_PyLong_CompactValueUnsigned(x) (__Pyx_PyLong_Digits(x)[0]) - #define __Pyx_PyLong_DigitCount(x) ((Py_ssize_t) (((PyLongObject*)x)->long_value.lv_tag >> _PyLong_NON_SIZE_BITS)) - #define __Pyx_PyLong_SignedDigitCount(x)\ - ((1 - (Py_ssize_t) __Pyx_PyLong_Sign(x)) * __Pyx_PyLong_DigitCount(x)) - #if defined(PyUnstable_Long_IsCompact) && defined(PyUnstable_Long_CompactValue) - #define __Pyx_PyLong_IsCompact(x) PyUnstable_Long_IsCompact((PyLongObject*) x) - #define __Pyx_PyLong_CompactValue(x) PyUnstable_Long_CompactValue((PyLongObject*) x) - #else - #define __Pyx_PyLong_IsCompact(x) (((PyLongObject*)x)->long_value.lv_tag < (2 << _PyLong_NON_SIZE_BITS)) - #define __Pyx_PyLong_CompactValue(x) ((1 - (Py_ssize_t) __Pyx_PyLong_Sign(x)) * (Py_ssize_t) __Pyx_PyLong_Digits(x)[0]) - #endif - typedef Py_ssize_t __Pyx_compact_pylong; - typedef size_t __Pyx_compact_upylong; - #else // Py < 3.12 - #define __Pyx_PyLong_IsNeg(x) (Py_SIZE(x) < 0) - #define __Pyx_PyLong_IsNonNeg(x) (Py_SIZE(x) >= 0) - #define __Pyx_PyLong_IsZero(x) (Py_SIZE(x) == 0) - #define __Pyx_PyLong_IsPos(x) (Py_SIZE(x) > 0) - #define __Pyx_PyLong_CompactValueUnsigned(x) ((Py_SIZE(x) == 0) ? 0 : __Pyx_PyLong_Digits(x)[0]) - #define __Pyx_PyLong_DigitCount(x) __Pyx_sst_abs(Py_SIZE(x)) - #define __Pyx_PyLong_SignedDigitCount(x) Py_SIZE(x) - #define __Pyx_PyLong_IsCompact(x) (Py_SIZE(x) == 0 || Py_SIZE(x) == 1 || Py_SIZE(x) == -1) - #define __Pyx_PyLong_CompactValue(x)\ - ((Py_SIZE(x) == 0) ? (sdigit) 0 : ((Py_SIZE(x) < 0) ? -(sdigit)__Pyx_PyLong_Digits(x)[0] : (sdigit)__Pyx_PyLong_Digits(x)[0])) - typedef sdigit __Pyx_compact_pylong; - typedef digit __Pyx_compact_upylong; - #endif - #if PY_VERSION_HEX >= 0x030C00A5 - #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->long_value.ob_digit) - #else - #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->ob_digit) - #endif -#endif -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII -static int __Pyx_sys_getdefaultencoding_not_ascii; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - PyObject* ascii_chars_u = NULL; - PyObject* ascii_chars_b = NULL; - const char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - if (strcmp(default_encoding_c, "ascii") == 0) { - __Pyx_sys_getdefaultencoding_not_ascii = 0; - } else { - char ascii_chars[128]; - int c; - for (c = 0; c < 128; c++) { - ascii_chars[c] = (char) c; - } - __Pyx_sys_getdefaultencoding_not_ascii = 1; - ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); - if (!ascii_chars_u) goto bad; - ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); - if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { - PyErr_Format( - PyExc_ValueError, - "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", - default_encoding_c); - goto bad; - } - Py_DECREF(ascii_chars_u); - Py_DECREF(ascii_chars_b); - } - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - Py_XDECREF(ascii_chars_u); - Py_XDECREF(ascii_chars_b); - return -1; -} -#endif -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) -#else -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -static char* __PYX_DEFAULT_STRING_ENCODING; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); - if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; - strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - return -1; -} -#endif -#endif - - -/* Test for GCC > 2.95 */ -#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) - #define likely(x) __builtin_expect(!!(x), 1) - #define unlikely(x) __builtin_expect(!!(x), 0) -#else /* !__GNUC__ or GCC < 2.95 */ - #define likely(x) (x) - #define unlikely(x) (x) -#endif /* __GNUC__ */ -static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; } - -#if !CYTHON_USE_MODULE_STATE -static PyObject *__pyx_m = NULL; -#endif -static int __pyx_lineno; -static int __pyx_clineno = 0; -static const char * __pyx_cfilenm = __FILE__; -static const char *__pyx_filename; - -/* #### Code section: filename_table ### */ - -static const char *__pyx_f[] = { - "core.pyx", - "", -}; -/* #### Code section: utility_code_proto_before_types ### */ -/* ForceInitThreads.proto */ -#ifndef __PYX_FORCE_INIT_THREADS - #define __PYX_FORCE_INIT_THREADS 0 -#endif - -/* NoFastGil.proto */ -#define __Pyx_PyGILState_Ensure PyGILState_Ensure -#define __Pyx_PyGILState_Release PyGILState_Release -#define __Pyx_FastGIL_Remember() -#define __Pyx_FastGIL_Forget() -#define __Pyx_FastGilFuncInit() - -/* BufferFormatStructs.proto */ -struct __Pyx_StructField_; -#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) -typedef struct { - const char* name; - struct __Pyx_StructField_* fields; - size_t size; - size_t arraysize[8]; - int ndim; - char typegroup; - char is_unsigned; - int flags; -} __Pyx_TypeInfo; -typedef struct __Pyx_StructField_ { - __Pyx_TypeInfo* type; - const char* name; - size_t offset; -} __Pyx_StructField; -typedef struct { - __Pyx_StructField* field; - size_t parent_offset; -} __Pyx_BufFmt_StackElem; -typedef struct { - __Pyx_StructField root; - __Pyx_BufFmt_StackElem* head; - size_t fmt_offset; - size_t new_count, enc_count; - size_t struct_alignment; - int is_complex; - char enc_type; - char new_packmode; - char enc_packmode; - char is_valid_array; -} __Pyx_BufFmt_Context; - -/* Atomics.proto */ -#include -#ifndef CYTHON_ATOMICS - #define CYTHON_ATOMICS 1 -#endif -#define __PYX_CYTHON_ATOMICS_ENABLED() CYTHON_ATOMICS -#define __pyx_atomic_int_type int -#define __pyx_nonatomic_int_type int -#if CYTHON_ATOMICS && (defined(__STDC_VERSION__) &&\ - (__STDC_VERSION__ >= 201112L) &&\ - !defined(__STDC_NO_ATOMICS__)) - #include -#elif CYTHON_ATOMICS && (defined(__cplusplus) && (\ - (__cplusplus >= 201103L) ||\ - (defined(_MSC_VER) && _MSC_VER >= 1700))) - #include -#endif -#if CYTHON_ATOMICS && (defined(__STDC_VERSION__) &&\ - (__STDC_VERSION__ >= 201112L) &&\ - !defined(__STDC_NO_ATOMICS__) &&\ - ATOMIC_INT_LOCK_FREE == 2) - #undef __pyx_atomic_int_type - #define __pyx_atomic_int_type atomic_int - #define __pyx_atomic_incr_aligned(value) atomic_fetch_add_explicit(value, 1, memory_order_relaxed) - #define __pyx_atomic_decr_aligned(value) atomic_fetch_sub_explicit(value, 1, memory_order_acq_rel) - #if defined(__PYX_DEBUG_ATOMICS) && defined(_MSC_VER) - #pragma message ("Using standard C atomics") - #elif defined(__PYX_DEBUG_ATOMICS) - #warning "Using standard C atomics" - #endif -#elif CYTHON_ATOMICS && (defined(__cplusplus) && (\ - (__cplusplus >= 201103L) ||\ -\ - (defined(_MSC_VER) && _MSC_VER >= 1700)) &&\ - ATOMIC_INT_LOCK_FREE == 2) - #undef __pyx_atomic_int_type - #define __pyx_atomic_int_type std::atomic_int - #define __pyx_atomic_incr_aligned(value) std::atomic_fetch_add_explicit(value, 1, std::memory_order_relaxed) - #define __pyx_atomic_decr_aligned(value) std::atomic_fetch_sub_explicit(value, 1, std::memory_order_acq_rel) - #if defined(__PYX_DEBUG_ATOMICS) && defined(_MSC_VER) - #pragma message ("Using standard C++ atomics") - #elif defined(__PYX_DEBUG_ATOMICS) - #warning "Using standard C++ atomics" - #endif -#elif CYTHON_ATOMICS && (__GNUC__ >= 5 || (__GNUC__ == 4 &&\ - (__GNUC_MINOR__ > 1 ||\ - (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL__ >= 2)))) - #define __pyx_atomic_incr_aligned(value) __sync_fetch_and_add(value, 1) - #define __pyx_atomic_decr_aligned(value) __sync_fetch_and_sub(value, 1) - #ifdef __PYX_DEBUG_ATOMICS - #warning "Using GNU atomics" - #endif -#elif CYTHON_ATOMICS && defined(_MSC_VER) - #include - #undef __pyx_atomic_int_type - #define __pyx_atomic_int_type long - #define __pyx_nonatomic_int_type long - #pragma intrinsic (_InterlockedExchangeAdd) - #define __pyx_atomic_incr_aligned(value) _InterlockedExchangeAdd(value, 1) - #define __pyx_atomic_decr_aligned(value) _InterlockedExchangeAdd(value, -1) - #ifdef __PYX_DEBUG_ATOMICS - #pragma message ("Using MSVC atomics") - #endif -#else - #undef CYTHON_ATOMICS - #define CYTHON_ATOMICS 0 - #ifdef __PYX_DEBUG_ATOMICS - #warning "Not using atomics" - #endif -#endif -#if CYTHON_ATOMICS - #define __pyx_add_acquisition_count(memview)\ - __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview)) - #define __pyx_sub_acquisition_count(memview)\ - __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview)) -#else - #define __pyx_add_acquisition_count(memview)\ - __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) - #define __pyx_sub_acquisition_count(memview)\ - __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) -#endif - -/* MemviewSliceStruct.proto */ -struct __pyx_memoryview_obj; -typedef struct { - struct __pyx_memoryview_obj *memview; - char *data; - Py_ssize_t shape[8]; - Py_ssize_t strides[8]; - Py_ssize_t suboffsets[8]; -} __Pyx_memviewslice; -#define __Pyx_MemoryView_Len(m) (m.shape[0]) - -/* #### Code section: numeric_typedefs ### */ -/* #### Code section: complex_type_declarations ### */ -/* #### Code section: type_declarations ### */ - -/*--- Type declarations ---*/ -struct __pyx_array_obj; -struct __pyx_MemviewEnum_obj; -struct __pyx_memoryview_obj; -struct __pyx_memoryviewslice_obj; -struct __pyx_opt_args_15monotonic_align_4core_maximum_path_each; - -/* "monotonic_align/core.pyx":7 - * @cython.boundscheck(False) - * @cython.wraparound(False) - * cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_y, int t_x, float max_neg_val=-1e9) nogil: # <<<<<<<<<<<<<< - * cdef int x - * cdef int y - */ -struct __pyx_opt_args_15monotonic_align_4core_maximum_path_each { - int __pyx_n; - float max_neg_val; -}; - -/* "View.MemoryView":114 - * @cython.collection_type("sequence") - * @cname("__pyx_array") - * cdef class array: # <<<<<<<<<<<<<< - * - * cdef: - */ -struct __pyx_array_obj { - PyObject_HEAD - struct __pyx_vtabstruct_array *__pyx_vtab; - char *data; - Py_ssize_t len; - char *format; - int ndim; - Py_ssize_t *_shape; - Py_ssize_t *_strides; - Py_ssize_t itemsize; - PyObject *mode; - PyObject *_format; - void (*callback_free_data)(void *); - int free_data; - int dtype_is_object; -}; - - -/* "View.MemoryView":302 - * - * @cname('__pyx_MemviewEnum') - * cdef class Enum(object): # <<<<<<<<<<<<<< - * cdef object name - * def __init__(self, name): - */ -struct __pyx_MemviewEnum_obj { - PyObject_HEAD - PyObject *name; -}; - - -/* "View.MemoryView":337 - * - * @cname('__pyx_memoryview') - * cdef class memoryview: # <<<<<<<<<<<<<< - * - * cdef object obj - */ -struct __pyx_memoryview_obj { - PyObject_HEAD - struct __pyx_vtabstruct_memoryview *__pyx_vtab; - PyObject *obj; - PyObject *_size; - PyObject *_array_interface; - PyThread_type_lock lock; - __pyx_atomic_int_type acquisition_count; - Py_buffer view; - int flags; - int dtype_is_object; - __Pyx_TypeInfo *typeinfo; -}; - - -/* "View.MemoryView":952 - * @cython.collection_type("sequence") - * @cname('__pyx_memoryviewslice') - * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< - * "Internal class for passing memoryview slices to Python" - * - */ -struct __pyx_memoryviewslice_obj { - struct __pyx_memoryview_obj __pyx_base; 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-#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) -#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); -#endif - -/* AssertionsEnabled.proto */ -#define __Pyx_init_assertions_enabled() -#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag) - #define __pyx_assertions_enabled() (1) -#elif PY_VERSION_HEX < 0x03080000 || CYTHON_COMPILING_IN_PYPY || defined(Py_LIMITED_API) - #define __pyx_assertions_enabled() (!Py_OptimizeFlag) -#elif CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030900A6 - static int __pyx_assertions_enabled_flag; - #define __pyx_assertions_enabled() (__pyx_assertions_enabled_flag) - #undef __Pyx_init_assertions_enabled - static void __Pyx_init_assertions_enabled(void) { - __pyx_assertions_enabled_flag = ! _PyInterpreterState_GetConfig(__Pyx_PyThreadState_Current->interp)->optimization_level; - } -#else - #define __pyx_assertions_enabled() (!Py_OptimizeFlag) -#endif - -/* RaiseTooManyValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); - -/* RaiseNeedMoreValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); - -/* RaiseNoneIterError.proto */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); - -/* ExtTypeTest.proto */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); - -/* GetTopmostException.proto */ -#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE -static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); -#endif - -/* SaveResetException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); -#else -#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) -#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) -#endif - -/* GetException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); -#endif - -/* SwapException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); -#endif - -/* Import.proto */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); - -/* ImportDottedModule.proto */ -static PyObject *__Pyx_ImportDottedModule(PyObject *name, PyObject *parts_tuple); -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx_ImportDottedModule_WalkParts(PyObject *module, PyObject *name, PyObject *parts_tuple); -#endif - -/* ssize_strlen.proto */ -static CYTHON_INLINE Py_ssize_t __Pyx_ssize_strlen(const char *s); - -/* FastTypeChecks.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) __Pyx_IsAnySubtype2(Py_TYPE(obj), (PyTypeObject *)type1, (PyTypeObject *)type2) -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); -#else -#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) (PyObject_TypeCheck(obj, (PyTypeObject *)type1) || PyObject_TypeCheck(obj, (PyTypeObject *)type2)) -#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) -#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) -#endif -#define __Pyx_PyErr_ExceptionMatches2(err1, err2) __Pyx_PyErr_GivenExceptionMatches2(__Pyx_PyErr_CurrentExceptionType(), err1, err2) -#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) - -CYTHON_UNUSED static int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ -/* ListCompAppend.proto */ -#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS -static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { - PyListObject* L = (PyListObject*) list; - Py_ssize_t len = Py_SIZE(list); - if (likely(L->allocated > len)) { - Py_INCREF(x); - PyList_SET_ITEM(list, len, x); - __Pyx_SET_SIZE(list, len + 1); - return 0; - } - return PyList_Append(list, x); -} -#else -#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) -#endif - -/* PySequenceMultiply.proto */ -#define __Pyx_PySequence_Multiply_Left(mul, seq) __Pyx_PySequence_Multiply(seq, mul) -static CYTHON_INLINE PyObject* __Pyx_PySequence_Multiply(PyObject *seq, Py_ssize_t mul); - -/* SetItemInt.proto */ -#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck) :\ - (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ - __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) -static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); -static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, - int is_list, int wraparound, int boundscheck); - -/* RaiseUnboundLocalError.proto */ -static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); - -/* DivInt[long].proto */ -static CYTHON_INLINE long __Pyx_div_long(long, long); - -/* PySequenceContains.proto */ -static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) { - int result = PySequence_Contains(seq, item); - return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); -} - -/* ImportFrom.proto */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); - -/* HasAttr.proto */ -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); - -/* ErrOccurredWithGIL.proto */ -static CYTHON_INLINE int __Pyx_ErrOccurredWithGIL(void); - -/* PyObject_GenericGetAttrNoDict.proto */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name); -#else -#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr -#endif - -/* PyObject_GenericGetAttr.proto */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name); -#else -#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr -#endif - -/* IncludeStructmemberH.proto */ -#include - -/* FixUpExtensionType.proto */ -#if CYTHON_USE_TYPE_SPECS -static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type); -#endif - -/* PyObjectCallNoArg.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); - -/* PyObjectGetMethod.proto */ -static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method); - -/* PyObjectCallMethod0.proto */ -static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); - -/* ValidateBasesTuple.proto */ -#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS -static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases); -#endif - -/* PyType_Ready.proto */ -CYTHON_UNUSED static int __Pyx_PyType_Ready(PyTypeObject *t); - -/* SetVTable.proto */ -static int __Pyx_SetVtable(PyTypeObject* typeptr , void* vtable); - -/* GetVTable.proto */ -static void* __Pyx_GetVtable(PyTypeObject *type); - -/* MergeVTables.proto */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_MergeVtables(PyTypeObject *type); -#endif - -/* SetupReduce.proto */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_setup_reduce(PyObject* type_obj); -#endif - -/* FetchSharedCythonModule.proto */ -static PyObject *__Pyx_FetchSharedCythonABIModule(void); - -/* FetchCommonType.proto */ -#if !CYTHON_USE_TYPE_SPECS -static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); -#else -static PyTypeObject* __Pyx_FetchCommonTypeFromSpec(PyObject *module, PyType_Spec *spec, PyObject *bases); -#endif - -/* PyMethodNew.proto */ -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ) { - CYTHON_UNUSED_VAR(typ); - if (!self) - return __Pyx_NewRef(func); - return PyMethod_New(func, self); -} -#else - #define __Pyx_PyMethod_New PyMethod_New -#endif - -/* PyVectorcallFastCallDict.proto */ -#if CYTHON_METH_FASTCALL -static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw); -#endif - -/* CythonFunctionShared.proto */ -#define __Pyx_CyFunction_USED -#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 -#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 -#define __Pyx_CYFUNCTION_CCLASS 0x04 -#define __Pyx_CYFUNCTION_COROUTINE 0x08 -#define __Pyx_CyFunction_GetClosure(f)\ - (((__pyx_CyFunctionObject *) (f))->func_closure) -#if PY_VERSION_HEX < 0x030900B1 - #define __Pyx_CyFunction_GetClassObj(f)\ - (((__pyx_CyFunctionObject *) (f))->func_classobj) -#else - #define __Pyx_CyFunction_GetClassObj(f)\ - ((PyObject*) ((PyCMethodObject *) (f))->mm_class) -#endif -#define __Pyx_CyFunction_SetClassObj(f, classobj)\ - __Pyx__CyFunction_SetClassObj((__pyx_CyFunctionObject *) (f), (classobj)) -#define __Pyx_CyFunction_Defaults(type, f)\ - ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) -#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ - ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) -typedef struct { -#if PY_VERSION_HEX < 0x030900B1 - PyCFunctionObject func; -#else - PyCMethodObject func; -#endif -#if CYTHON_BACKPORT_VECTORCALL - __pyx_vectorcallfunc func_vectorcall; -#endif -#if PY_VERSION_HEX < 0x030500A0 - PyObject *func_weakreflist; -#endif - PyObject *func_dict; - PyObject *func_name; - PyObject *func_qualname; - PyObject *func_doc; - PyObject *func_globals; - PyObject *func_code; - PyObject *func_closure; -#if PY_VERSION_HEX < 0x030900B1 - PyObject *func_classobj; -#endif - void *defaults; - int defaults_pyobjects; - size_t defaults_size; // used by FusedFunction for copying defaults - int flags; - PyObject *defaults_tuple; - PyObject *defaults_kwdict; - PyObject *(*defaults_getter)(PyObject *); - PyObject *func_annotations; - PyObject *func_is_coroutine; -} __pyx_CyFunctionObject; -#define __Pyx_CyFunction_Check(obj) __Pyx_TypeCheck(obj, __pyx_CyFunctionType) -#define __Pyx_IsCyOrPyCFunction(obj) __Pyx_TypeCheck2(obj, __pyx_CyFunctionType, &PyCFunction_Type) -#define __Pyx_CyFunction_CheckExact(obj) __Pyx_IS_TYPE(obj, __pyx_CyFunctionType) -static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject* op, PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *closure, - PyObject *module, PyObject *globals, - PyObject* code); -static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj); -static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, - size_t size, - int pyobjects); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, - PyObject *tuple); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, - PyObject *dict); -static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, - PyObject *dict); -static int __pyx_CyFunction_init(PyObject *module); -#if CYTHON_METH_FASTCALL -static PyObject * __Pyx_CyFunction_Vectorcall_NOARGS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_O(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -#if CYTHON_BACKPORT_VECTORCALL -#define __Pyx_CyFunction_func_vectorcall(f) (((__pyx_CyFunctionObject*)f)->func_vectorcall) -#else -#define __Pyx_CyFunction_func_vectorcall(f) (((PyCFunctionObject*)f)->vectorcall) -#endif -#endif - -/* CythonFunction.proto */ -static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *closure, - PyObject *module, PyObject *globals, - PyObject* code); - -/* CLineInTraceback.proto */ -#ifdef CYTHON_CLINE_IN_TRACEBACK -#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) -#else -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); -#endif - -/* CodeObjectCache.proto */ -#if !CYTHON_COMPILING_IN_LIMITED_API -typedef struct { - PyCodeObject* code_object; - int code_line; -} __Pyx_CodeObjectCacheEntry; -struct __Pyx_CodeObjectCache { - int count; - int max_count; - __Pyx_CodeObjectCacheEntry* entries; -}; -static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); -static PyCodeObject *__pyx_find_code_object(int code_line); -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); -#endif - -/* AddTraceback.proto */ -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename); - -#if PY_MAJOR_VERSION < 3 - static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); - static void __Pyx_ReleaseBuffer(Py_buffer *view); -#else - #define __Pyx_GetBuffer PyObject_GetBuffer - #define __Pyx_ReleaseBuffer PyBuffer_Release -#endif - - -/* BufferStructDeclare.proto */ -typedef struct { - Py_ssize_t shape, strides, suboffsets; -} __Pyx_Buf_DimInfo; -typedef struct { - size_t refcount; - Py_buffer pybuffer; -} __Pyx_Buffer; -typedef struct { - __Pyx_Buffer *rcbuffer; - char *data; - __Pyx_Buf_DimInfo diminfo[8]; -} __Pyx_LocalBuf_ND; - -/* MemviewSliceIsContig.proto */ -static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); - -/* OverlappingSlices.proto */ -static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, - __Pyx_memviewslice *slice2, - int ndim, size_t itemsize); - -/* IsLittleEndian.proto */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void); - -/* BufferFormatCheck.proto */ -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - __Pyx_TypeInfo* type); - -/* TypeInfoCompare.proto */ -static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); - -/* MemviewSliceValidateAndInit.proto */ -static int __Pyx_ValidateAndInit_memviewslice( - int *axes_specs, - int c_or_f_flag, - int buf_flags, - int ndim, - __Pyx_TypeInfo *dtype, - __Pyx_BufFmt_StackElem stack[], - __Pyx_memviewslice *memviewslice, - PyObject *original_obj); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag); - -/* MemviewSliceCopyTemplate.proto */ -static __Pyx_memviewslice -__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object); - -/* MemviewSliceInit.proto */ -#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d -#define __Pyx_MEMVIEW_DIRECT 1 -#define __Pyx_MEMVIEW_PTR 2 -#define __Pyx_MEMVIEW_FULL 4 -#define __Pyx_MEMVIEW_CONTIG 8 -#define __Pyx_MEMVIEW_STRIDED 16 -#define __Pyx_MEMVIEW_FOLLOW 32 -#define __Pyx_IS_C_CONTIG 1 -#define __Pyx_IS_F_CONTIG 2 -static int __Pyx_init_memviewslice( - struct __pyx_memoryview_obj *memview, - int ndim, - __Pyx_memviewslice *memviewslice, - int memview_is_new_reference); -static CYTHON_INLINE int __pyx_add_acquisition_count_locked( - __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); -static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( - __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); -#define __pyx_get_slice_count_pointer(memview) (&memview->acquisition_count) -#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) -#define __PYX_XCLEAR_MEMVIEW(slice, have_gil) __Pyx_XCLEAR_MEMVIEW(slice, have_gil, __LINE__) -static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); -static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *, int, int); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); - -/* CIntFromPy.proto */ -static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); - -/* CIntFromPy.proto */ -static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); - -/* CIntFromPy.proto */ -static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); - -/* FormatTypeName.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API -typedef PyObject *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%U" -static __Pyx_TypeName __Pyx_PyType_GetName(PyTypeObject* tp); -#define __Pyx_DECREF_TypeName(obj) Py_XDECREF(obj) -#else -typedef const char *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%.200s" -#define __Pyx_PyType_GetName(tp) ((tp)->tp_name) -#define __Pyx_DECREF_TypeName(obj) -#endif - -/* CheckBinaryVersion.proto */ -static int __Pyx_check_binary_version(void); - -/* InitStrings.proto */ -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); - -/* #### Code section: module_declarations ### */ -static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ -static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ -static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview__get_base(struct __pyx_memoryview_obj *__pyx_v_self); /* proto*/ -static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryviewslice__get_base(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto*/ - -/* Module declarations from "cython.view" */ - -/* Module declarations from "cython.dataclasses" */ - -/* Module declarations from "cython" */ - -/* Module declarations from "monotonic_align.core" */ -static PyObject *__pyx_collections_abc_Sequence = 0; -static PyObject *generic = 0; -static PyObject *strided = 0; -static PyObject *indirect = 0; -static PyObject *contiguous = 0; -static PyObject *indirect_contiguous = 0; -static int __pyx_memoryview_thread_locks_used; -static PyThread_type_lock __pyx_memoryview_thread_locks[8]; -static void __pyx_f_15monotonic_align_4core_maximum_path_each(__Pyx_memviewslice, __Pyx_memviewslice, int, int, struct __pyx_opt_args_15monotonic_align_4core_maximum_path_each *__pyx_optional_args); /*proto*/ -static void __pyx_f_15monotonic_align_4core_maximum_path_c(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int __pyx_skip_dispatch); /*proto*/ -static int __pyx_array_allocate_buffer(struct __pyx_array_obj *); /*proto*/ -static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ -static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ -static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ -static PyObject *_unellipsify(PyObject *, int); /*proto*/ -static int assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ -static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ -static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ -static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ -static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ -static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ -static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ -static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ -static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ -static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ -static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ -static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memoryview_err_dim(PyObject *, PyObject *, int); /*proto*/ -static int __pyx_memoryview_err(PyObject *, PyObject *); /*proto*/ -static int __pyx_memoryview_err_no_memory(void); /*proto*/ -static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ -static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ -static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ -static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ -/* #### Code section: typeinfo ### */ -static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, __PYX_IS_UNSIGNED(int) ? 'U' : 'I', __PYX_IS_UNSIGNED(int), 0 }; -static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; -/* #### Code section: before_global_var ### */ -#define __Pyx_MODULE_NAME "monotonic_align.core" -extern int __pyx_module_is_main_monotonic_align__core; -int __pyx_module_is_main_monotonic_align__core = 0; - -/* Implementation of "monotonic_align.core" */ -/* #### Code section: global_var ### */ -static PyObject *__pyx_builtin_range; -static PyObject *__pyx_builtin___import__; -static PyObject *__pyx_builtin_ValueError; -static PyObject *__pyx_builtin_MemoryError; -static PyObject *__pyx_builtin_enumerate; -static PyObject *__pyx_builtin_TypeError; -static PyObject *__pyx_builtin_AssertionError; -static PyObject *__pyx_builtin_Ellipsis; -static PyObject *__pyx_builtin_id; -static PyObject *__pyx_builtin_IndexError; -/* #### Code section: string_decls ### */ -static const char __pyx_k_[] = ": "; -static const char __pyx_k_O[] = "O"; -static const char __pyx_k_c[] = "c"; -static const char __pyx_k__2[] = "."; -static const char __pyx_k__3[] = "*"; -static const char __pyx_k__6[] = "'"; -static const char __pyx_k__7[] = ")"; -static const char __pyx_k_gc[] = "gc"; -static const char __pyx_k_id[] = "id"; -static const char __pyx_k__23[] = "?"; -static const char __pyx_k_abc[] = "abc"; -static const char __pyx_k_and[] = " and "; -static const char __pyx_k_got[] = " (got "; -static const char __pyx_k_new[] = "__new__"; -static const char __pyx_k_obj[] = "obj"; -static const char __pyx_k_sys[] = "sys"; -static const char __pyx_k_base[] = "base"; -static const char __pyx_k_dict[] = "__dict__"; -static const char __pyx_k_main[] = "__main__"; -static const char __pyx_k_mode[] = "mode"; -static const char __pyx_k_name[] = "name"; -static const char __pyx_k_ndim[] = "ndim"; -static const char __pyx_k_pack[] = "pack"; -static const char __pyx_k_size[] = "size"; -static const char __pyx_k_spec[] = "__spec__"; -static const char __pyx_k_step[] = "step"; -static const char __pyx_k_stop[] = "stop"; -static const char __pyx_k_t_xs[] = "t_xs"; -static const char __pyx_k_t_ys[] = "t_ys"; -static const char __pyx_k_test[] = "__test__"; -static const char __pyx_k_ASCII[] = "ASCII"; -static const char __pyx_k_class[] = "__class__"; -static const char __pyx_k_count[] = "count"; -static const char __pyx_k_error[] = "error"; -static const char __pyx_k_flags[] = "flags"; -static const char __pyx_k_index[] = "index"; -static const char __pyx_k_paths[] = "paths"; -static const char __pyx_k_range[] = "range"; -static const char __pyx_k_shape[] = "shape"; -static const char __pyx_k_start[] = "start"; -static const char __pyx_k_enable[] = "enable"; -static const char __pyx_k_encode[] = "encode"; -static const char __pyx_k_format[] = "format"; -static const char __pyx_k_import[] = "__import__"; -static const char __pyx_k_name_2[] = "__name__"; -static const char __pyx_k_pickle[] = "pickle"; -static const char __pyx_k_reduce[] = "__reduce__"; -static const char __pyx_k_struct[] = "struct"; -static const char __pyx_k_unpack[] = "unpack"; -static const char __pyx_k_update[] = "update"; -static const char __pyx_k_values[] = "values"; -static const char __pyx_k_disable[] = "disable"; -static const char __pyx_k_fortran[] = "fortran"; -static const char __pyx_k_memview[] = "memview"; -static const char __pyx_k_Ellipsis[] = "Ellipsis"; -static const char __pyx_k_Sequence[] = "Sequence"; -static const char __pyx_k_core_pyx[] = "core.pyx"; -static const char __pyx_k_getstate[] = "__getstate__"; -static const char __pyx_k_itemsize[] = "itemsize"; -static const char __pyx_k_pyx_type[] = "__pyx_type"; -static const char __pyx_k_register[] = "register"; -static const char __pyx_k_setstate[] = "__setstate__"; -static const char __pyx_k_TypeError[] = "TypeError"; -static const char __pyx_k_enumerate[] = "enumerate"; -static const char __pyx_k_isenabled[] = "isenabled"; -static const char __pyx_k_pyx_state[] = "__pyx_state"; -static const char __pyx_k_reduce_ex[] = "__reduce_ex__"; -static const char __pyx_k_IndexError[] = "IndexError"; -static const char __pyx_k_ValueError[] = "ValueError"; -static const char __pyx_k_pyx_result[] = "__pyx_result"; -static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; -static const char __pyx_k_MemoryError[] = "MemoryError"; -static const char __pyx_k_PickleError[] = "PickleError"; -static const char __pyx_k_collections[] = "collections"; -static const char __pyx_k_initializing[] = "_initializing"; -static const char __pyx_k_is_coroutine[] = "_is_coroutine"; -static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; -static const char __pyx_k_stringsource[] = ""; -static const char __pyx_k_version_info[] = "version_info"; -static const char __pyx_k_class_getitem[] = "__class_getitem__"; -static const char __pyx_k_reduce_cython[] = "__reduce_cython__"; -static const char __pyx_k_AssertionError[] = "AssertionError"; -static const char __pyx_k_maximum_path_c[] = "maximum_path_c"; -static const char __pyx_k_View_MemoryView[] = "View.MemoryView"; -static const char __pyx_k_allocate_buffer[] = "allocate_buffer"; -static const char __pyx_k_collections_abc[] = "collections.abc"; -static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; -static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError"; -static const char __pyx_k_setstate_cython[] = "__setstate_cython__"; -static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum"; -static const char __pyx_k_asyncio_coroutines[] = "asyncio.coroutines"; -static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; -static const char __pyx_k_strided_and_direct[] = ""; -static const char __pyx_k_monotonic_align_core[] = "monotonic_align.core"; -static const char __pyx_k_strided_and_indirect[] = ""; -static const char __pyx_k_Invalid_shape_in_axis[] = "Invalid shape in axis "; -static const char __pyx_k_contiguous_and_direct[] = ""; -static const char __pyx_k_Cannot_index_with_type[] = "Cannot index with type '"; -static const char __pyx_k_MemoryView_of_r_object[] = ""; -static const char __pyx_k_MemoryView_of_r_at_0x_x[] = ""; -static const char __pyx_k_contiguous_and_indirect[] = ""; -static const char __pyx_k_Dimension_d_is_not_direct[] = "Dimension %d is not direct"; -static const char __pyx_k_Index_out_of_bounds_axis_d[] = "Index out of bounds (axis %d)"; -static const char __pyx_k_Step_may_not_be_zero_axis_d[] = "Step may not be zero (axis %d)"; -static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array"; -static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data."; -static const char __pyx_k_strided_and_direct_or_indirect[] = ""; -static const char __pyx_k_All_dimensions_preceding_dimensi[] = "All dimensions preceding dimension %d must be indexed and not sliced"; -static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides"; -static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory."; -static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview"; -static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview"; -static const char __pyx_k_Cannot_transpose_memoryview_with[] = "Cannot transpose memoryview with indirect dimensions"; -static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array"; -static const char __pyx_k_Incompatible_checksums_0x_x_vs_0[] = "Incompatible checksums (0x%x vs (0x82a3537, 0x6ae9995, 0xb068931) = (name))"; -static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported"; -static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got "; -static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis "; -static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object"; -static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension "; -static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__"; -static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides."; -/* #### Code section: decls ### */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ -static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ -static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ -static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */ -static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ -static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */ -static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ -static void 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"View.MemoryView":1123 - * for i in range(ndim - 1, -1, -1): - * if mslice.shape[i] > 1: - * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< - * break - * - */ - __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); - - /* "View.MemoryView":1124 - * if mslice.shape[i] > 1: - * c_stride = mslice.strides[i] - * break # <<<<<<<<<<<<<< - * - * for i in range(ndim): - */ - goto __pyx_L4_break; - - /* "View.MemoryView":1122 - * - * for i in range(ndim - 1, -1, -1): - * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< - * c_stride = mslice.strides[i] - * break - */ - } - } - __pyx_L4_break:; - - /* "View.MemoryView":1126 - * break - * - * for i in range(ndim): # <<<<<<<<<<<<<< - * if mslice.shape[i] > 1: - * f_stride = mslice.strides[i] - */ - __pyx_t_1 = __pyx_v_ndim; - __pyx_t_3 = __pyx_t_1; - for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { - __pyx_v_i = __pyx_t_4; - - /* "View.MemoryView":1127 - * - * for i in range(ndim): - * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< - * f_stride = mslice.strides[i] - * break - */ - __pyx_t_2 = ((__pyx_v_mslice->shape[__pyx_v_i]) > 1); - if (__pyx_t_2) { - - /* "View.MemoryView":1128 - * for i in range(ndim): - * if mslice.shape[i] > 1: - * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< - * break - * - */ - __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); - - /* "View.MemoryView":1129 - * if mslice.shape[i] > 1: - * f_stride = mslice.strides[i] - * break # <<<<<<<<<<<<<< - * - * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): - */ - goto __pyx_L7_break; - - /* "View.MemoryView":1127 - * - * for i in range(ndim): - * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< - * f_stride = mslice.strides[i] - * break - */ - } - } - __pyx_L7_break:; - - /* "View.MemoryView":1131 - * break - * - * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< - * return 'C' - * else: - */ - __pyx_t_2 = (abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)); - if (__pyx_t_2) { - - /* "View.MemoryView":1132 - * - * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): - * return 'C' # <<<<<<<<<<<<<< - * else: - * return 'F' - */ - __pyx_r = 'C'; - goto __pyx_L0; - - /* "View.MemoryView":1131 - * break - * - * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< - * return 'C' - * else: - */ - } - - /* "View.MemoryView":1134 - * return 'C' - * else: - * return 'F' # <<<<<<<<<<<<<< - * - * @cython.cdivision(True) - */ - /*else*/ { - __pyx_r = 'F'; - goto __pyx_L0; - } - - /* "View.MemoryView":1113 - * - * @cname('__pyx_get_best_slice_order') - * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) noexcept nogil: # <<<<<<<<<<<<<< - * """ - * Figure out the best memory access order for a given slice. - */ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "View.MemoryView":1137 - * - * @cython.cdivision(True) - * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< - * char *dst_data, Py_ssize_t *dst_strides, - * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, - */ - -static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { - CYTHON_UNUSED Py_ssize_t __pyx_v_i; - CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; - Py_ssize_t __pyx_v_dst_extent; - Py_ssize_t __pyx_v_src_stride; - Py_ssize_t __pyx_v_dst_stride; - int __pyx_t_1; - int __pyx_t_2; - Py_ssize_t __pyx_t_3; - Py_ssize_t __pyx_t_4; - Py_ssize_t __pyx_t_5; - - /* "View.MemoryView":1144 - * - * cdef Py_ssize_t i - * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< - * cdef Py_ssize_t dst_extent = dst_shape[0] - * cdef Py_ssize_t src_stride = src_strides[0] - */ - __pyx_v_src_extent = (__pyx_v_src_shape[0]); - - /* "View.MemoryView":1145 - * cdef Py_ssize_t i - * cdef Py_ssize_t src_extent = src_shape[0] - * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< - * cdef Py_ssize_t src_stride = src_strides[0] - * cdef Py_ssize_t dst_stride = dst_strides[0] - */ - __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); - - /* "View.MemoryView":1146 - * cdef Py_ssize_t src_extent = src_shape[0] - * cdef Py_ssize_t dst_extent = dst_shape[0] - * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< - * cdef Py_ssize_t dst_stride = dst_strides[0] - * - */ - __pyx_v_src_stride = (__pyx_v_src_strides[0]); - - /* "View.MemoryView":1147 - * cdef Py_ssize_t dst_extent = dst_shape[0] - * cdef Py_ssize_t src_stride = src_strides[0] - * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< - * - * if ndim == 1: - */ - __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); - - /* "View.MemoryView":1149 - * cdef Py_ssize_t dst_stride = dst_strides[0] - * - * if ndim == 1: # <<<<<<<<<<<<<< - * if (src_stride > 0 and dst_stride > 0 and - * src_stride == itemsize == dst_stride): - */ - __pyx_t_1 = (__pyx_v_ndim == 1); - if (__pyx_t_1) { - - /* "View.MemoryView":1150 - * - * if ndim == 1: - * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< - * src_stride == itemsize == dst_stride): - * memcpy(dst_data, src_data, itemsize * dst_extent) - */ - __pyx_t_2 = (__pyx_v_src_stride > 0); - if (__pyx_t_2) { - } else { - __pyx_t_1 = __pyx_t_2; - goto __pyx_L5_bool_binop_done; - } - __pyx_t_2 = (__pyx_v_dst_stride > 0); - if (__pyx_t_2) { - } else { - __pyx_t_1 = __pyx_t_2; - goto __pyx_L5_bool_binop_done; - } - - /* "View.MemoryView":1151 - * if ndim == 1: - * if (src_stride > 0 and dst_stride > 0 and - * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< - * memcpy(dst_data, src_data, itemsize * dst_extent) - * else: - */ - __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); - if (__pyx_t_2) { - __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); - } - __pyx_t_1 = __pyx_t_2; - __pyx_L5_bool_binop_done:; - - /* "View.MemoryView":1150 - * - * if ndim == 1: - * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< - * src_stride == itemsize == dst_stride): - * memcpy(dst_data, src_data, itemsize * dst_extent) - */ - if (__pyx_t_1) { - - /* "View.MemoryView":1152 - * if (src_stride > 0 and dst_stride > 0 and - * src_stride == itemsize == dst_stride): - * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< - * else: - * for i in range(dst_extent): - */ - (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); - - /* "View.MemoryView":1150 - * - * if ndim == 1: - * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< - * src_stride == itemsize == dst_stride): - * memcpy(dst_data, src_data, itemsize * dst_extent) - */ - goto __pyx_L4; - } - - /* "View.MemoryView":1154 - * memcpy(dst_data, src_data, itemsize * dst_extent) - * else: - * for i in range(dst_extent): # <<<<<<<<<<<<<< - * memcpy(dst_data, src_data, itemsize) - * src_data += src_stride - */ - /*else*/ { - __pyx_t_3 = __pyx_v_dst_extent; - __pyx_t_4 = __pyx_t_3; - for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { - __pyx_v_i = __pyx_t_5; - - /* "View.MemoryView":1155 - * else: - * for i in range(dst_extent): - * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< - * src_data += src_stride - * dst_data += dst_stride - */ - (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize)); - - /* "View.MemoryView":1156 - * for i in range(dst_extent): - * memcpy(dst_data, src_data, itemsize) - * src_data += src_stride # <<<<<<<<<<<<<< - * dst_data += dst_stride - * else: - */ - __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); - - /* "View.MemoryView":1157 - * memcpy(dst_data, src_data, itemsize) - * src_data += src_stride - * dst_data += dst_stride # <<<<<<<<<<<<<< - * else: - * for i in range(dst_extent): - */ - __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); - } - } - __pyx_L4:; - - /* "View.MemoryView":1149 - * cdef Py_ssize_t dst_stride = dst_strides[0] - * - * if ndim == 1: # <<<<<<<<<<<<<< - * if (src_stride > 0 and dst_stride > 0 and - * src_stride == itemsize == dst_stride): - */ - goto __pyx_L3; - } - - /* "View.MemoryView":1159 - * dst_data += dst_stride - * else: - * for i in range(dst_extent): # <<<<<<<<<<<<<< - * _copy_strided_to_strided(src_data, src_strides + 1, - * dst_data, dst_strides + 1, - */ - /*else*/ { - __pyx_t_3 = __pyx_v_dst_extent; - __pyx_t_4 = __pyx_t_3; - for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { - __pyx_v_i = __pyx_t_5; - - /* "View.MemoryView":1160 - * else: - * for i in range(dst_extent): - * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< - * dst_data, dst_strides + 1, - * src_shape + 1, dst_shape + 1, - */ - _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); - - /* "View.MemoryView":1164 - * src_shape + 1, dst_shape + 1, - * ndim - 1, itemsize) - * src_data += src_stride # <<<<<<<<<<<<<< - * dst_data += dst_stride - * - */ - __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); - - /* "View.MemoryView":1165 - * ndim - 1, itemsize) - * src_data += src_stride - * dst_data += dst_stride # <<<<<<<<<<<<<< - * - * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, - */ - __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); - } - } - __pyx_L3:; - - /* "View.MemoryView":1137 - * - * @cython.cdivision(True) - * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< - * char *dst_data, Py_ssize_t *dst_strides, - * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, - */ - - /* function exit code */ -} - -/* "View.MemoryView":1167 - * dst_data += dst_stride - * - * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< - * __Pyx_memviewslice *dst, - * int ndim, size_t itemsize) noexcept nogil: - */ - -static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { - - /* "View.MemoryView":1170 - * __Pyx_memviewslice *dst, - * int ndim, size_t itemsize) noexcept nogil: - * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< - * src.shape, dst.shape, ndim, itemsize) - * - */ - _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); - - /* "View.MemoryView":1167 - * dst_data += dst_stride - * - * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< - * __Pyx_memviewslice *dst, - * int ndim, size_t itemsize) noexcept nogil: - */ - - /* function exit code */ -} - -/* "View.MemoryView":1174 - * - * @cname('__pyx_memoryview_slice_get_size') - * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) noexcept nogil: # <<<<<<<<<<<<<< - * "Return the size of the memory occupied by the slice in number of bytes" - * cdef Py_ssize_t shape, size = src.memview.view.itemsize - */ - -static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { - Py_ssize_t __pyx_v_shape; - Py_ssize_t __pyx_v_size; - Py_ssize_t __pyx_r; - Py_ssize_t __pyx_t_1; - Py_ssize_t *__pyx_t_2; - Py_ssize_t *__pyx_t_3; - Py_ssize_t *__pyx_t_4; - - /* "View.MemoryView":1176 - * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) noexcept nogil: - * "Return the size of the memory occupied by the slice in number of bytes" - * cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<< - * - * for shape in src.shape[:ndim]: - */ - __pyx_t_1 = __pyx_v_src->memview->view.itemsize; - __pyx_v_size = __pyx_t_1; - - /* "View.MemoryView":1178 - * cdef Py_ssize_t shape, size = src.memview.view.itemsize - * - * for shape in src.shape[:ndim]: # <<<<<<<<<<<<<< - * size *= shape - * - */ - __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim); - for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) { - __pyx_t_2 = __pyx_t_4; - __pyx_v_shape = (__pyx_t_2[0]); - - /* "View.MemoryView":1179 - * - * for shape in src.shape[:ndim]: - * size *= shape # <<<<<<<<<<<<<< - * - * return size - */ - __pyx_v_size = (__pyx_v_size * __pyx_v_shape); - } - - /* "View.MemoryView":1181 - * size *= shape - * - * return size # <<<<<<<<<<<<<< - * - * @cname('__pyx_fill_contig_strides_array') - */ - __pyx_r = __pyx_v_size; - goto __pyx_L0; - - /* "View.MemoryView":1174 - * - * @cname('__pyx_memoryview_slice_get_size') - * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) noexcept nogil: # <<<<<<<<<<<<<< - * "Return the size of the memory occupied by the slice in number of bytes" - * cdef Py_ssize_t shape, size = src.memview.view.itemsize - */ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "View.MemoryView":1184 - * - * @cname('__pyx_fill_contig_strides_array') - * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< - * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, - * int ndim, char order) noexcept nogil: - */ - -static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { - int __pyx_v_idx; - Py_ssize_t __pyx_r; - int __pyx_t_1; - int __pyx_t_2; - int __pyx_t_3; - int __pyx_t_4; - - /* "View.MemoryView":1193 - * cdef int idx - * - * if order == 'F': # <<<<<<<<<<<<<< - * for idx in range(ndim): - * strides[idx] = stride - */ - __pyx_t_1 = (__pyx_v_order == 'F'); - if (__pyx_t_1) { - - /* "View.MemoryView":1194 - * - * if order == 'F': - * for idx in range(ndim): # <<<<<<<<<<<<<< - * strides[idx] = stride - * stride *= shape[idx] - */ - __pyx_t_2 = __pyx_v_ndim; - __pyx_t_3 = __pyx_t_2; - for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { - __pyx_v_idx = 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cdef __Pyx_memviewslice tmp - * - */ - __pyx_v_direct_copy = 0; - - /* "View.MemoryView":1281 - * cdef __Pyx_memviewslice tmp - * - * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< - * broadcast_leading(&src, src_ndim, dst_ndim) - * elif dst_ndim < src_ndim: - */ - __pyx_t_2 = (__pyx_v_src_ndim < __pyx_v_dst_ndim); - if (__pyx_t_2) { - - /* "View.MemoryView":1282 - * - * if src_ndim < dst_ndim: - * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< - * elif dst_ndim < src_ndim: - * broadcast_leading(&dst, dst_ndim, src_ndim) - */ - __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim); - - /* "View.MemoryView":1281 - * cdef __Pyx_memviewslice tmp - * - * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< - * broadcast_leading(&src, src_ndim, dst_ndim) - * elif dst_ndim < src_ndim: - */ - goto __pyx_L3; - } - - /* "View.MemoryView":1283 - * if src_ndim < dst_ndim: - * broadcast_leading(&src, src_ndim, dst_ndim) - * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< - * broadcast_leading(&dst, dst_ndim, src_ndim) - * - */ - __pyx_t_2 = (__pyx_v_dst_ndim < __pyx_v_src_ndim); - if (__pyx_t_2) { - - /* "View.MemoryView":1284 - * broadcast_leading(&src, src_ndim, dst_ndim) - * elif dst_ndim < src_ndim: - * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< - * - * cdef int ndim = max(src_ndim, dst_ndim) - */ - __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); - - /* "View.MemoryView":1283 - * if src_ndim < dst_ndim: - * broadcast_leading(&src, src_ndim, dst_ndim) - * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< - * broadcast_leading(&dst, dst_ndim, src_ndim) - * - */ - } - __pyx_L3:; - - /* "View.MemoryView":1286 - * broadcast_leading(&dst, dst_ndim, src_ndim) - * - * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< - * - * for i in range(ndim): - */ - __pyx_t_3 = __pyx_v_dst_ndim; - __pyx_t_4 = __pyx_v_src_ndim; - if ((__pyx_t_3 > __pyx_t_4)) { - __pyx_t_5 = __pyx_t_3; - } else { - __pyx_t_5 = __pyx_t_4; - } - __pyx_v_ndim = __pyx_t_5; - - /* "View.MemoryView":1288 - * cdef int ndim = max(src_ndim, dst_ndim) - * - * for i in range(ndim): # <<<<<<<<<<<<<< - * if src.shape[i] != dst.shape[i]: - * if src.shape[i] == 1: - */ - __pyx_t_5 = __pyx_v_ndim; - __pyx_t_3 = __pyx_t_5; - for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { - __pyx_v_i = __pyx_t_4; - - /* "View.MemoryView":1289 - * - * for i in range(ndim): - * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< - * if src.shape[i] == 1: - * broadcasting = True - */ - __pyx_t_2 = ((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])); - if (__pyx_t_2) { - - /* "View.MemoryView":1290 - * for i in range(ndim): - * if src.shape[i] != dst.shape[i]: - * if src.shape[i] == 1: # <<<<<<<<<<<<<< - * broadcasting = True - * src.strides[i] = 0 - */ - __pyx_t_2 = ((__pyx_v_src.shape[__pyx_v_i]) == 1); - if (__pyx_t_2) { - - /* "View.MemoryView":1291 - * if src.shape[i] != dst.shape[i]: - * if src.shape[i] == 1: - * broadcasting = True # <<<<<<<<<<<<<< - * src.strides[i] = 0 - * else: - */ - __pyx_v_broadcasting = 1; - - /* "View.MemoryView":1292 - * if src.shape[i] == 1: - * broadcasting = True - * src.strides[i] = 0 # <<<<<<<<<<<<<< - * else: - * _err_extents(i, dst.shape[i], src.shape[i]) - */ - (__pyx_v_src.strides[__pyx_v_i]) = 0; - - /* "View.MemoryView":1290 - * for i in range(ndim): - * if src.shape[i] != dst.shape[i]: - * if src.shape[i] == 1: # <<<<<<<<<<<<<< - * broadcasting = True - * src.strides[i] = 0 - */ - goto __pyx_L7; - } - - /* "View.MemoryView":1294 - * src.strides[i] = 0 - * else: - * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< - * - * if src.suboffsets[i] >= 0: - */ - /*else*/ { - __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1294, __pyx_L1_error) - } - __pyx_L7:; - - /* "View.MemoryView":1289 - * - * for i in range(ndim): - * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< - * if src.shape[i] == 1: - * broadcasting = True - */ - } - - /* "View.MemoryView":1296 - * _err_extents(i, dst.shape[i], src.shape[i]) - * - * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< - * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) - * - */ - __pyx_t_2 = ((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0); - if (__pyx_t_2) { - - /* "View.MemoryView":1297 - * - * if src.suboffsets[i] >= 0: - * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< - * - * if slices_overlap(&src, &dst, ndim, itemsize): - */ - __pyx_t_6 = __pyx_memoryview_err_dim(PyExc_ValueError, __pyx_kp_s_Dimension_d_is_not_direct, __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1297, __pyx_L1_error) - - /* "View.MemoryView":1296 - * _err_extents(i, dst.shape[i], src.shape[i]) - * - * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< - * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) - * - */ - } - } - - /* "View.MemoryView":1299 - * _err_dim(PyExc_ValueError, "Dimension %d is not direct", i) - * - * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< - * - * if not slice_is_contig(src, order, ndim): - */ - __pyx_t_2 = __pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); - if (__pyx_t_2) { - - /* "View.MemoryView":1301 - * if slices_overlap(&src, &dst, ndim, itemsize): - * - * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< - * order = get_best_order(&dst, ndim) - * - */ - __pyx_t_2 = (!__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim)); - if (__pyx_t_2) { - - /* "View.MemoryView":1302 - * - * if not slice_is_contig(src, order, ndim): - * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< - * - * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) - */ - __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); - - /* "View.MemoryView":1301 - * if slices_overlap(&src, &dst, ndim, itemsize): - * 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slice_is_contig(dst, 'C', ndim) - * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< - * direct_copy = slice_is_contig(dst, 'F', ndim) - * - */ - __pyx_t_2 = __pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim); - if (__pyx_t_2) { - - /* "View.MemoryView":1313 - * direct_copy = slice_is_contig(dst, 'C', ndim) - * elif slice_is_contig(src, 'F', ndim): - * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< - * - * if direct_copy: - */ - __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); - - /* "View.MemoryView":1312 - * if slice_is_contig(src, 'C', ndim): - * direct_copy = slice_is_contig(dst, 'C', ndim) - * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< - * direct_copy = slice_is_contig(dst, 'F', ndim) - * - */ - } - __pyx_L12:; - - /* "View.MemoryView":1315 - * direct_copy = slice_is_contig(dst, 'F', ndim) - * - * if direct_copy: # <<<<<<<<<<<<<< - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - */ - if 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return 0 - */ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - - /* "View.MemoryView":1320 - * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * free(tmpdata) # <<<<<<<<<<<<<< - * return 0 - * - */ - free(__pyx_v_tmpdata); - - /* "View.MemoryView":1321 - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * free(tmpdata) - * return 0 # <<<<<<<<<<<<<< - * - * if order == 'F' == get_best_order(&dst, ndim): - */ - __pyx_r = 0; - goto __pyx_L0; - - /* "View.MemoryView":1315 - * direct_copy = slice_is_contig(dst, 'F', ndim) - * - * if direct_copy: # <<<<<<<<<<<<<< - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - */ - } - - /* "View.MemoryView":1307 - * src = tmp - * - * if not broadcasting: # <<<<<<<<<<<<<< - * - * - */ - } - - /* "View.MemoryView":1323 - * return 0 - * - * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< - * - * - */ 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copy_strided_to_strided(&src, &dst, ndim, itemsize) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - */ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - - /* "View.MemoryView":1330 - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * - */ - copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); - - /* "View.MemoryView":1331 - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - * copy_strided_to_strided(&src, &dst, ndim, itemsize) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< - * - * free(tmpdata) - */ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - - /* "View.MemoryView":1333 - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * - * free(tmpdata) # 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tmp = ((PyObject*)p->name); - p->name = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - return 0; -} - -static PyObject *__pyx_specialmethod___pyx_MemviewEnum___repr__(PyObject *self, CYTHON_UNUSED PyObject *arg) { - return __pyx_MemviewEnum___repr__(self); -} - -static PyMethodDef __pyx_methods_Enum[] = { - {"__repr__", (PyCFunction)__pyx_specialmethod___pyx_MemviewEnum___repr__, METH_NOARGS|METH_COEXIST, 0}, - {"__reduce_cython__", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"__setstate_cython__", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {0, 0, 0, 0} -}; -#if CYTHON_USE_TYPE_SPECS -static PyType_Slot __pyx_type___pyx_MemviewEnum_slots[] = { - {Py_tp_dealloc, (void *)__pyx_tp_dealloc_Enum}, - {Py_tp_repr, (void *)__pyx_MemviewEnum___repr__}, - {Py_tp_traverse, (void *)__pyx_tp_traverse_Enum}, - {Py_tp_clear, (void *)__pyx_tp_clear_Enum}, - {Py_tp_methods, (void *)__pyx_methods_Enum}, - {Py_tp_init, (void *)__pyx_MemviewEnum___init__}, - {Py_tp_new, (void *)__pyx_tp_new_Enum}, - {0, 0}, -}; -static PyType_Spec __pyx_type___pyx_MemviewEnum_spec = { - "monotonic_align.core.Enum", - sizeof(struct __pyx_MemviewEnum_obj), - 0, - Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, - __pyx_type___pyx_MemviewEnum_slots, -}; -#else - -static PyTypeObject __pyx_type___pyx_MemviewEnum = { - PyVarObject_HEAD_INIT(0, 0) - "monotonic_align.core.""Enum", /*tp_name*/ - sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ - 0, /*tp_itemsize*/ - __pyx_tp_dealloc_Enum, /*tp_dealloc*/ - #if PY_VERSION_HEX < 0x030800b4 - 0, /*tp_print*/ - #endif - #if PY_VERSION_HEX >= 0x030800b4 - 0, /*tp_vectorcall_offset*/ - #endif - 0, /*tp_getattr*/ - 0, /*tp_setattr*/ - #if PY_MAJOR_VERSION < 3 - 0, /*tp_compare*/ - #endif - #if PY_MAJOR_VERSION >= 3 - 0, /*tp_as_async*/ - #endif - __pyx_MemviewEnum___repr__, /*tp_repr*/ - 0, /*tp_as_number*/ - 0, /*tp_as_sequence*/ - 0, /*tp_as_mapping*/ - 0, /*tp_hash*/ - 0, /*tp_call*/ - 0, /*tp_str*/ - 0, /*tp_getattro*/ - 0, /*tp_setattro*/ - 0, /*tp_as_buffer*/ - Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ - 0, /*tp_doc*/ - __pyx_tp_traverse_Enum, /*tp_traverse*/ - __pyx_tp_clear_Enum, /*tp_clear*/ - 0, /*tp_richcompare*/ - 0, /*tp_weaklistoffset*/ - 0, /*tp_iter*/ - 0, /*tp_iternext*/ - __pyx_methods_Enum, /*tp_methods*/ - 0, /*tp_members*/ - 0, /*tp_getset*/ - 0, /*tp_base*/ - 0, /*tp_dict*/ - 0, /*tp_descr_get*/ - 0, /*tp_descr_set*/ - #if !CYTHON_USE_TYPE_SPECS - 0, /*tp_dictoffset*/ - #endif - __pyx_MemviewEnum___init__, /*tp_init*/ - 0, /*tp_alloc*/ - __pyx_tp_new_Enum, /*tp_new*/ - 0, /*tp_free*/ - 0, /*tp_is_gc*/ - 0, /*tp_bases*/ - 0, /*tp_mro*/ - 0, /*tp_cache*/ - 0, /*tp_subclasses*/ - 0, /*tp_weaklist*/ - 0, /*tp_del*/ - 0, /*tp_version_tag*/ - #if PY_VERSION_HEX >= 0x030400a1 - #if CYTHON_USE_TP_FINALIZE - 0, /*tp_finalize*/ - #else - NULL, /*tp_finalize*/ - #endif - #endif - #if PY_VERSION_HEX >= 0x030800b1 && (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800) - 0, /*tp_vectorcall*/ - #endif - #if __PYX_NEED_TP_PRINT_SLOT == 1 - 0, /*tp_print*/ - #endif - #if PY_VERSION_HEX >= 0x030C0000 - 0, /*tp_watched*/ - #endif - #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 - 0, /*tp_pypy_flags*/ - #endif -}; -#endif -static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; - -static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { - struct __pyx_memoryview_obj *p; - PyObject *o; - #if CYTHON_COMPILING_IN_LIMITED_API - allocfunc alloc_func = (allocfunc)PyType_GetSlot(t, Py_tp_alloc); - o = alloc_func(t, 0); - #else - if (likely(!__Pyx_PyType_HasFeature(t, Py_TPFLAGS_IS_ABSTRACT))) { - o = (*t->tp_alloc)(t, 0); - } else { - o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0); - } - if (unlikely(!o)) return 0; - #endif - p = ((struct __pyx_memoryview_obj *)o); - p->__pyx_vtab = __pyx_vtabptr_memoryview; - p->obj = Py_None; Py_INCREF(Py_None); - p->_size = Py_None; Py_INCREF(Py_None); - p->_array_interface = Py_None; Py_INCREF(Py_None); - p->view.obj = NULL; - if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad; - return o; - bad: - Py_DECREF(o); o = 0; - return NULL; -} - -static void __pyx_tp_dealloc_memoryview(PyObject *o) { - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - #if CYTHON_USE_TP_FINALIZE - if (unlikely((PY_VERSION_HEX >= 0x03080000 || __Pyx_PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE)) && __Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) { - if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_memoryview) { - if (PyObject_CallFinalizerFromDealloc(o)) return; - } - } - #endif - PyObject_GC_UnTrack(o); - { - PyObject *etype, *eval, *etb; - PyErr_Fetch(&etype, &eval, &etb); - __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); - __pyx_memoryview___dealloc__(o); - __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); - PyErr_Restore(etype, eval, etb); - } - Py_CLEAR(p->obj); - Py_CLEAR(p->_size); - Py_CLEAR(p->_array_interface); - (*Py_TYPE(o)->tp_free)(o); -} - -static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { - int e; - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - if (p->obj) { - e = (*v)(p->obj, a); if (e) return e; - } - if (p->_size) { - e = (*v)(p->_size, a); if (e) return e; - } - if (p->_array_interface) { - e = (*v)(p->_array_interface, a); if (e) return e; - } - if (p->view.obj) { - e = (*v)(p->view.obj, a); if (e) return e; - } - return 0; -} - -static int __pyx_tp_clear_memoryview(PyObject *o) { - PyObject* tmp; - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - tmp = ((PyObject*)p->obj); - p->obj = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - tmp = ((PyObject*)p->_size); - p->_size = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - tmp = ((PyObject*)p->_array_interface); - p->_array_interface = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - Py_CLEAR(p->view.obj); - return 0; -} -static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { - PyObject *r; - PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; - r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); - Py_DECREF(x); - return r; -} - -static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { - if (v) { - return __pyx_memoryview___setitem__(o, i, v); - } - else { - __Pyx_TypeName o_type_name; - o_type_name = __Pyx_PyType_GetName(Py_TYPE(o)); - PyErr_Format(PyExc_NotImplementedError, - "Subscript deletion not supported by " __Pyx_FMT_TYPENAME, o_type_name); - __Pyx_DECREF_TypeName(o_type_name); - return -1; - } -} - -static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); -} - -static PyObject *__pyx_specialmethod___pyx_memoryview___repr__(PyObject *self, CYTHON_UNUSED PyObject *arg) { - return __pyx_memoryview___repr__(self); -} - -static PyMethodDef __pyx_methods_memoryview[] = { - {"__repr__", (PyCFunction)__pyx_specialmethod___pyx_memoryview___repr__, METH_NOARGS|METH_COEXIST, 0}, - {"is_c_contig", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_c_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"is_f_contig", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_f_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"copy", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"copy_fortran", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy_fortran, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"__reduce_cython__", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_1__reduce_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"__setstate_cython__", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_3__setstate_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {0, 0, 0, 0} -}; - -static struct PyGetSetDef __pyx_getsets_memoryview[] = { - {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0}, - {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0}, - {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0}, - {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0}, - {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0}, - {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0}, - {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0}, - {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0}, - {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0}, - {0, 0, 0, 0, 0} -}; -#if CYTHON_USE_TYPE_SPECS -#if !CYTHON_COMPILING_IN_LIMITED_API - -static PyBufferProcs __pyx_tp_as_buffer_memoryview = { - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getreadbuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getwritebuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getsegcount*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getcharbuffer*/ - #endif - __pyx_memoryview_getbuffer, /*bf_getbuffer*/ - 0, /*bf_releasebuffer*/ -}; -#endif -static PyType_Slot __pyx_type___pyx_memoryview_slots[] = { - {Py_tp_dealloc, (void *)__pyx_tp_dealloc_memoryview}, - {Py_tp_repr, (void *)__pyx_memoryview___repr__}, - {Py_sq_length, (void *)__pyx_memoryview___len__}, - {Py_sq_item, (void *)__pyx_sq_item_memoryview}, - {Py_mp_length, (void *)__pyx_memoryview___len__}, - {Py_mp_subscript, (void *)__pyx_memoryview___getitem__}, - {Py_mp_ass_subscript, (void *)__pyx_mp_ass_subscript_memoryview}, - {Py_tp_str, (void *)__pyx_memoryview___str__}, - #if defined(Py_bf_getbuffer) - {Py_bf_getbuffer, (void *)__pyx_memoryview_getbuffer}, - #endif - {Py_tp_traverse, (void *)__pyx_tp_traverse_memoryview}, - {Py_tp_clear, (void *)__pyx_tp_clear_memoryview}, - {Py_tp_methods, (void *)__pyx_methods_memoryview}, - {Py_tp_getset, (void *)__pyx_getsets_memoryview}, - {Py_tp_new, (void *)__pyx_tp_new_memoryview}, - {0, 0}, -}; -static PyType_Spec __pyx_type___pyx_memoryview_spec = { - "monotonic_align.core.memoryview", - sizeof(struct __pyx_memoryview_obj), - 0, - Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, - __pyx_type___pyx_memoryview_slots, -}; -#else - -static PySequenceMethods __pyx_tp_as_sequence_memoryview = { - __pyx_memoryview___len__, /*sq_length*/ - 0, /*sq_concat*/ - 0, /*sq_repeat*/ - __pyx_sq_item_memoryview, /*sq_item*/ - 0, /*sq_slice*/ - 0, /*sq_ass_item*/ - 0, /*sq_ass_slice*/ - 0, /*sq_contains*/ - 0, /*sq_inplace_concat*/ - 0, /*sq_inplace_repeat*/ -}; - -static PyMappingMethods __pyx_tp_as_mapping_memoryview = { - __pyx_memoryview___len__, /*mp_length*/ - __pyx_memoryview___getitem__, /*mp_subscript*/ - __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ -}; - -static PyBufferProcs __pyx_tp_as_buffer_memoryview = { - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getreadbuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getwritebuffer*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getsegcount*/ - #endif - #if PY_MAJOR_VERSION < 3 - 0, /*bf_getcharbuffer*/ - #endif - __pyx_memoryview_getbuffer, /*bf_getbuffer*/ - 0, /*bf_releasebuffer*/ -}; - -static PyTypeObject __pyx_type___pyx_memoryview = { - PyVarObject_HEAD_INIT(0, 0) - "monotonic_align.core.""memoryview", /*tp_name*/ - sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ - 0, /*tp_itemsize*/ - __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ - #if PY_VERSION_HEX < 0x030800b4 - 0, /*tp_print*/ - #endif - #if PY_VERSION_HEX >= 0x030800b4 - 0, /*tp_vectorcall_offset*/ - #endif - 0, /*tp_getattr*/ - 0, /*tp_setattr*/ - #if PY_MAJOR_VERSION < 3 - 0, /*tp_compare*/ - #endif - #if PY_MAJOR_VERSION >= 3 - 0, /*tp_as_async*/ - #endif - __pyx_memoryview___repr__, /*tp_repr*/ - 0, /*tp_as_number*/ - &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ - &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ - 0, /*tp_hash*/ - 0, /*tp_call*/ - __pyx_memoryview___str__, /*tp_str*/ - 0, /*tp_getattro*/ - 0, /*tp_setattro*/ - &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ - Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ - 0, /*tp_doc*/ - __pyx_tp_traverse_memoryview, /*tp_traverse*/ - __pyx_tp_clear_memoryview, /*tp_clear*/ - 0, /*tp_richcompare*/ - 0, /*tp_weaklistoffset*/ - 0, /*tp_iter*/ - 0, /*tp_iternext*/ - __pyx_methods_memoryview, /*tp_methods*/ - 0, /*tp_members*/ - __pyx_getsets_memoryview, /*tp_getset*/ - 0, /*tp_base*/ - 0, /*tp_dict*/ - 0, /*tp_descr_get*/ - 0, /*tp_descr_set*/ - #if !CYTHON_USE_TYPE_SPECS - 0, /*tp_dictoffset*/ - #endif - 0, /*tp_init*/ - 0, /*tp_alloc*/ - __pyx_tp_new_memoryview, /*tp_new*/ - 0, /*tp_free*/ - 0, /*tp_is_gc*/ - 0, /*tp_bases*/ - 0, /*tp_mro*/ - 0, /*tp_cache*/ - 0, /*tp_subclasses*/ - 0, /*tp_weaklist*/ - 0, /*tp_del*/ - 0, /*tp_version_tag*/ - #if PY_VERSION_HEX >= 0x030400a1 - #if CYTHON_USE_TP_FINALIZE - 0, /*tp_finalize*/ - #else - NULL, /*tp_finalize*/ - #endif - #endif - #if PY_VERSION_HEX >= 0x030800b1 && (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800) - 0, /*tp_vectorcall*/ - #endif - #if __PYX_NEED_TP_PRINT_SLOT == 1 - 0, /*tp_print*/ - #endif - #if PY_VERSION_HEX >= 0x030C0000 - 0, /*tp_watched*/ - 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(result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & s2_is_unicode) { - goto return_ne; - } else if ((s2 == Py_None) & s1_is_unicode) { - goto return_ne; - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -return_eq: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_EQ); -return_ne: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_NE); -#endif -} - -/* fastcall */ -#if CYTHON_METH_FASTCALL -static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s) -{ - Py_ssize_t i, n = PyTuple_GET_SIZE(kwnames); - for (i = 0; i < n; i++) - { - if (s == PyTuple_GET_ITEM(kwnames, i)) return kwvalues[i]; - } - for (i = 0; i < n; i++) - { - int eq = __Pyx_PyUnicode_Equals(s, PyTuple_GET_ITEM(kwnames, i), Py_EQ); - if (unlikely(eq != 0)) { - if (unlikely(eq < 0)) return NULL; // error - return kwvalues[i]; - } - } - return NULL; // not found (no exception set) -} -#endif - -/* RaiseArgTupleInvalid */ -static void __Pyx_RaiseArgtupleInvalid( - const char* func_name, - int exact, - Py_ssize_t num_min, - Py_ssize_t num_max, - Py_ssize_t num_found) -{ - Py_ssize_t num_expected; - const char *more_or_less; - if (num_found < num_min) { - num_expected = num_min; - more_or_less = "at least"; - } else { - num_expected = num_max; - more_or_less = "at most"; - } - if (exact) { - more_or_less = "exactly"; - } - PyErr_Format(PyExc_TypeError, - "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", - func_name, more_or_less, num_expected, - (num_expected == 1) ? "" : "s", num_found); -} - -/* RaiseDoubleKeywords */ -static void __Pyx_RaiseDoubleKeywordsError( - const char* func_name, - PyObject* kw_name) -{ - PyErr_Format(PyExc_TypeError, - #if PY_MAJOR_VERSION >= 3 - "%s() got multiple values for keyword argument '%U'", func_name, kw_name); - #else - "%s() got multiple values for keyword argument '%s'", func_name, - PyString_AsString(kw_name)); - #endif -} - -/* ParseKeywords */ -static int __Pyx_ParseOptionalKeywords( - PyObject *kwds, - PyObject *const *kwvalues, - PyObject **argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - const char* function_name) -{ - PyObject *key = 0, *value = 0; - Py_ssize_t pos = 0; - PyObject*** name; - PyObject*** first_kw_arg = argnames + num_pos_args; - int kwds_is_tuple = CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds)); - while (1) { - if (kwds_is_tuple) { - if (pos >= PyTuple_GET_SIZE(kwds)) break; - key = PyTuple_GET_ITEM(kwds, pos); - value = kwvalues[pos]; - pos++; - } - else - { - if (!PyDict_Next(kwds, &pos, &key, &value)) break; - } - name = first_kw_arg; - while (*name && (**name != key)) name++; - if (*name) { - values[name-argnames] = value; - continue; - } - name = first_kw_arg; - #if PY_MAJOR_VERSION < 3 - if (likely(PyString_Check(key))) { - while (*name) { - if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) - && _PyString_Eq(**name, key)) { - values[name-argnames] = value; - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - if ((**argname == key) || ( - (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) - && _PyString_Eq(**argname, key))) { - goto arg_passed_twice; - } - argname++; - } - } - } else - #endif - if (likely(PyUnicode_Check(key))) { - while (*name) { - int cmp = ( - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : - #endif - PyUnicode_Compare(**name, key) - ); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) { - values[name-argnames] = value; - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - int cmp = (**argname == key) ? 0 : - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : - #endif - PyUnicode_Compare(**argname, key); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) goto arg_passed_twice; - argname++; - } - } - } else - goto invalid_keyword_type; - if (kwds2) { - if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; - } else { - goto invalid_keyword; - } - } - return 0; -arg_passed_twice: - __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - goto bad; -invalid_keyword: - #if PY_MAJOR_VERSION < 3 - PyErr_Format(PyExc_TypeError, - "%.200s() got an unexpected keyword argument '%.200s'", - function_name, PyString_AsString(key)); - #else - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - #endif -bad: - return -1; -} - -/* ArgTypeTest */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) -{ - __Pyx_TypeName type_name; - __Pyx_TypeName obj_type_name; - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - else if (exact) { - #if PY_MAJOR_VERSION == 2 - if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; - #endif - } - else { - if (likely(__Pyx_TypeCheck(obj, type))) return 1; - } - type_name = __Pyx_PyType_GetName(type); - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "Argument '%.200s' has incorrect type (expected " __Pyx_FMT_TYPENAME - ", got " __Pyx_FMT_TYPENAME ")", name, type_name, obj_type_name); - __Pyx_DECREF_TypeName(type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return 0; -} - -/* RaiseException */ -#if PY_MAJOR_VERSION < 3 -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - __Pyx_PyThreadState_declare - CYTHON_UNUSED_VAR(cause); - Py_XINCREF(type); - if (!value || value == Py_None) - value = NULL; - else - Py_INCREF(value); - if (!tb || tb == Py_None) - tb = NULL; - else { - Py_INCREF(tb); - if (!PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto raise_error; - } - } - if (PyType_Check(type)) { -#if CYTHON_COMPILING_IN_PYPY - if (!value) { - Py_INCREF(Py_None); - value = Py_None; - } -#endif - PyErr_NormalizeException(&type, &value, &tb); - } else { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto raise_error; - } - value = type; - type = (PyObject*) Py_TYPE(type); - Py_INCREF(type); - if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto raise_error; - } - } - __Pyx_PyThreadState_assign - __Pyx_ErrRestore(type, value, tb); - return; -raise_error: - Py_XDECREF(value); - Py_XDECREF(type); - Py_XDECREF(tb); - return; -} -#else -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - PyObject* owned_instance = NULL; - if (tb == Py_None) { - tb = 0; - } else if (tb && !PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto bad; - } - if (value == Py_None) - value = 0; - if (PyExceptionInstance_Check(type)) { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto bad; - } - value = type; - type = (PyObject*) Py_TYPE(value); - } else if (PyExceptionClass_Check(type)) { - PyObject *instance_class = NULL; - if (value && PyExceptionInstance_Check(value)) { - instance_class = (PyObject*) Py_TYPE(value); - if (instance_class != type) { - int is_subclass = PyObject_IsSubclass(instance_class, type); - if (!is_subclass) { - instance_class = NULL; - } else if (unlikely(is_subclass == -1)) { - goto bad; - } else { - type = instance_class; - } - } - } - if (!instance_class) { - PyObject *args; - if (!value) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; - } else - args = PyTuple_Pack(1, value); - if (!args) - goto bad; - owned_instance = PyObject_Call(type, args, NULL); - Py_DECREF(args); - if (!owned_instance) - goto bad; - value = owned_instance; - if (!PyExceptionInstance_Check(value)) { - PyErr_Format(PyExc_TypeError, - "calling %R should have returned an instance of " - "BaseException, not %R", - type, Py_TYPE(value)); - goto bad; - } - } - } else { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto bad; - } - if (cause) { - PyObject *fixed_cause; - if (cause == Py_None) { - fixed_cause = NULL; - } else if (PyExceptionClass_Check(cause)) { - fixed_cause = PyObject_CallObject(cause, NULL); - if (fixed_cause == NULL) - goto bad; - } else if (PyExceptionInstance_Check(cause)) { - fixed_cause = cause; - Py_INCREF(fixed_cause); - } else { - PyErr_SetString(PyExc_TypeError, - "exception causes must derive from " - "BaseException"); - goto bad; - } - PyException_SetCause(value, fixed_cause); - } - PyErr_SetObject(type, value); - if (tb) { - #if PY_VERSION_HEX >= 0x030C00A6 - PyException_SetTraceback(value, tb); - #elif CYTHON_FAST_THREAD_STATE - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject* tmp_tb = tstate->curexc_traceback; - if (tb != tmp_tb) { - Py_INCREF(tb); - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_tb); - } -#else - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); - Py_INCREF(tb); - PyErr_Restore(tmp_type, tmp_value, tb); - Py_XDECREF(tmp_tb); -#endif - } -bad: - Py_XDECREF(owned_instance); - return; -} -#endif - -/* PyFunctionFastCall */ -#if CYTHON_FAST_PYCALL && !CYTHON_VECTORCALL -static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, - PyObject *globals) { - PyFrameObject *f; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject **fastlocals; - Py_ssize_t i; - PyObject *result; - assert(globals != NULL); - /* XXX Perhaps we should create a specialized - PyFrame_New() that doesn't take locals, but does - take builtins without sanity checking them. - */ - assert(tstate != NULL); - f = PyFrame_New(tstate, co, globals, NULL); - if (f == NULL) { - return NULL; - } - fastlocals = __Pyx_PyFrame_GetLocalsplus(f); - for (i = 0; i < na; i++) { - Py_INCREF(*args); - fastlocals[i] = *args++; - } - result = PyEval_EvalFrameEx(f,0); - ++tstate->recursion_depth; - Py_DECREF(f); - --tstate->recursion_depth; - return result; -} -static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { - PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); - PyObject *globals = PyFunction_GET_GLOBALS(func); - PyObject *argdefs = PyFunction_GET_DEFAULTS(func); - PyObject *closure; -#if PY_MAJOR_VERSION >= 3 - PyObject *kwdefs; -#endif - PyObject *kwtuple, **k; - PyObject **d; - Py_ssize_t nd; - Py_ssize_t nk; - PyObject *result; - assert(kwargs == NULL || PyDict_Check(kwargs)); - nk = kwargs ? PyDict_Size(kwargs) : 0; - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) { - return NULL; - } - if ( -#if PY_MAJOR_VERSION >= 3 - co->co_kwonlyargcount == 0 && -#endif - likely(kwargs == NULL || nk == 0) && - co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - if (argdefs == NULL && co->co_argcount == nargs) { - result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); - goto done; - } - else if (nargs == 0 && argdefs != NULL - && co->co_argcount == Py_SIZE(argdefs)) { - /* function called with no arguments, but all parameters have - a default value: use default values as arguments .*/ - args = &PyTuple_GET_ITEM(argdefs, 0); - result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); - goto done; - } - } - if (kwargs != NULL) { - Py_ssize_t pos, i; - kwtuple = PyTuple_New(2 * nk); - if (kwtuple == NULL) { - result = NULL; - goto done; - } - k = &PyTuple_GET_ITEM(kwtuple, 0); - pos = i = 0; - while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { - Py_INCREF(k[i]); - Py_INCREF(k[i+1]); - i += 2; - } - nk = i / 2; - } - else { - kwtuple = NULL; - k = NULL; - } - closure = PyFunction_GET_CLOSURE(func); -#if PY_MAJOR_VERSION >= 3 - kwdefs = PyFunction_GET_KW_DEFAULTS(func); -#endif - if (argdefs != NULL) { - d = &PyTuple_GET_ITEM(argdefs, 0); - nd = Py_SIZE(argdefs); - } - else { - d = NULL; - nd = 0; - } -#if PY_MAJOR_VERSION >= 3 - result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, kwdefs, closure); -#else - result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, closure); -#endif - Py_XDECREF(kwtuple); -done: - Py_LeaveRecursiveCall(); - return result; -} -#endif - -/* PyObjectCall */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { - PyObject *result; - ternaryfunc call = Py_TYPE(func)->tp_call; - if (unlikely(!call)) - return PyObject_Call(func, arg, kw); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectCallMethO */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { - PyObject *self, *result; - PyCFunction cfunc; - cfunc = PyCFunction_GET_FUNCTION(func); - self = PyCFunction_GET_SELF(func); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = cfunc(self, arg); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectFastCall */ -static PyObject* __Pyx_PyObject_FastCall_fallback(PyObject *func, PyObject **args, size_t nargs, PyObject *kwargs) { - PyObject *argstuple; - PyObject *result; - size_t i; - argstuple = PyTuple_New((Py_ssize_t)nargs); - if (unlikely(!argstuple)) return NULL; - for (i = 0; i < nargs; i++) { - Py_INCREF(args[i]); - PyTuple_SET_ITEM(argstuple, (Py_ssize_t)i, args[i]); - } - result = __Pyx_PyObject_Call(func, argstuple, kwargs); - Py_DECREF(argstuple); - return result; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_FastCallDict(PyObject *func, PyObject **args, size_t _nargs, PyObject *kwargs) { - Py_ssize_t nargs = __Pyx_PyVectorcall_NARGS(_nargs); -#if CYTHON_COMPILING_IN_CPYTHON - if (nargs == 0 && kwargs == NULL) { -#if defined(__Pyx_CyFunction_USED) && defined(NDEBUG) - if (__Pyx_IsCyOrPyCFunction(func)) -#else - if (PyCFunction_Check(func)) -#endif - { - if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) { - return __Pyx_PyObject_CallMethO(func, NULL); - } - } - } - else if (nargs == 1 && kwargs == NULL) { - if (PyCFunction_Check(func)) - { - if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { - return __Pyx_PyObject_CallMethO(func, args[0]); - } - } - } -#endif - #if PY_VERSION_HEX < 0x030800B1 - #if CYTHON_FAST_PYCCALL - if (PyCFunction_Check(func)) { - if (kwargs) { - return _PyCFunction_FastCallDict(func, args, nargs, kwargs); - } else { - return _PyCFunction_FastCallKeywords(func, args, nargs, NULL); - } - } - #if PY_VERSION_HEX >= 0x030700A1 - if (!kwargs && __Pyx_IS_TYPE(func, &PyMethodDescr_Type)) { - return _PyMethodDescr_FastCallKeywords(func, args, nargs, NULL); - } - #endif - #endif - #if CYTHON_FAST_PYCALL - if (PyFunction_Check(func)) { - return __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs); - } - #endif - #endif - #if CYTHON_VECTORCALL - vectorcallfunc f = _PyVectorcall_Function(func); - if (f) { - return f(func, args, (size_t)nargs, kwargs); - } - #elif defined(__Pyx_CyFunction_USED) && CYTHON_BACKPORT_VECTORCALL - if (__Pyx_CyFunction_CheckExact(func)) { - __pyx_vectorcallfunc f = __Pyx_CyFunction_func_vectorcall(func); - if (f) return f(func, args, (size_t)nargs, kwargs); - } - #endif - if (nargs == 0) { - return __Pyx_PyObject_Call(func, __pyx_empty_tuple, kwargs); - } - return __Pyx_PyObject_FastCall_fallback(func, args, (size_t)nargs, kwargs); -} - -/* RaiseUnexpectedTypeError */ -static int -__Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj) -{ - __Pyx_TypeName obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, "Expected %s, got " __Pyx_FMT_TYPENAME, - expected, obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return 0; -} - -/* CIntToDigits */ -static const char DIGIT_PAIRS_10[2*10*10+1] = { - "00010203040506070809" - "10111213141516171819" - "20212223242526272829" - "30313233343536373839" - "40414243444546474849" - "50515253545556575859" - "60616263646566676869" - "70717273747576777879" - "80818283848586878889" - "90919293949596979899" -}; -static const char DIGIT_PAIRS_8[2*8*8+1] = { - "0001020304050607" - "1011121314151617" - "2021222324252627" - "3031323334353637" - "4041424344454647" - "5051525354555657" - "6061626364656667" - "7071727374757677" -}; -static const char DIGITS_HEX[2*16+1] = { - "0123456789abcdef" - "0123456789ABCDEF" -}; - -/* BuildPyUnicode */ -static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, char* chars, int clength, - int prepend_sign, char padding_char) { - PyObject *uval; - Py_ssize_t uoffset = ulength - clength; -#if CYTHON_USE_UNICODE_INTERNALS - Py_ssize_t i; -#if CYTHON_PEP393_ENABLED - void *udata; - uval = PyUnicode_New(ulength, 127); - if (unlikely(!uval)) return NULL; - udata = PyUnicode_DATA(uval); -#else - Py_UNICODE *udata; - uval = PyUnicode_FromUnicode(NULL, ulength); - if (unlikely(!uval)) return NULL; - udata = PyUnicode_AS_UNICODE(uval); -#endif - if (uoffset > 0) { - i = 0; - if (prepend_sign) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, 0, '-'); - i++; - } - for (; i < uoffset; i++) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, i, padding_char); - } - } - for (i=0; i < clength; i++) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, uoffset+i, chars[i]); - } -#else - { - PyObject *sign = NULL, *padding = NULL; - uval = NULL; - if (uoffset > 0) { - prepend_sign = !!prepend_sign; - if (uoffset > prepend_sign) { - padding = PyUnicode_FromOrdinal(padding_char); - if (likely(padding) && uoffset > prepend_sign + 1) { - PyObject *tmp; - PyObject *repeat = PyInt_FromSsize_t(uoffset - prepend_sign); - if (unlikely(!repeat)) goto done_or_error; - tmp = PyNumber_Multiply(padding, repeat); - Py_DECREF(repeat); - Py_DECREF(padding); - padding = tmp; - } - if (unlikely(!padding)) goto done_or_error; - } - if (prepend_sign) { - sign = PyUnicode_FromOrdinal('-'); - if (unlikely(!sign)) goto done_or_error; - } - } - uval = PyUnicode_DecodeASCII(chars, clength, NULL); - if (likely(uval) && padding) { - PyObject *tmp = PyNumber_Add(padding, uval); - Py_DECREF(uval); - uval = tmp; - } - if (likely(uval) && sign) { - PyObject *tmp = PyNumber_Add(sign, uval); - Py_DECREF(uval); - uval = tmp; - } -done_or_error: - Py_XDECREF(padding); - Py_XDECREF(sign); - } -#endif - return uval; -} - -/* CIntToPyUnicode */ -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char) { - char digits[sizeof(int)*3+2]; - char *dpos, *end = digits + sizeof(int)*3+2; - const char *hex_digits = DIGITS_HEX; - Py_ssize_t length, ulength; - int prepend_sign, last_one_off; - int remaining; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (format_char == 'X') { - hex_digits += 16; - format_char = 'x'; - } - remaining = value; - last_one_off = 0; - dpos = end; - do { - int digit_pos; - switch (format_char) { - case 'o': - digit_pos = abs((int)(remaining % (8*8))); - remaining = (int) (remaining / (8*8)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); - last_one_off = (digit_pos < 8); - break; - case 'd': - digit_pos = abs((int)(remaining % (10*10))); - remaining = (int) (remaining / (10*10)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); - last_one_off = (digit_pos < 10); - break; - case 'x': - *(--dpos) = hex_digits[abs((int)(remaining % 16))]; - remaining = (int) (remaining / 16); - break; - default: - assert(0); - break; - } - } while (unlikely(remaining != 0)); - assert(!last_one_off || *dpos == '0'); - dpos += last_one_off; - length = end - dpos; - ulength = length; - prepend_sign = 0; - if (!is_unsigned && value <= neg_one) { - if (padding_char == ' ' || width <= length + 1) { - *(--dpos) = '-'; - ++length; - } else { - prepend_sign = 1; - } - ++ulength; - } - if (width > ulength) { - ulength = width; - } - if (ulength == 1) { - return PyUnicode_FromOrdinal(*dpos); - } - return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); -} - -/* CIntToPyUnicode */ -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char) { - char digits[sizeof(Py_ssize_t)*3+2]; - char *dpos, *end = digits + sizeof(Py_ssize_t)*3+2; - const char *hex_digits = DIGITS_HEX; - Py_ssize_t length, ulength; - int prepend_sign, last_one_off; - Py_ssize_t remaining; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (format_char == 'X') { - hex_digits += 16; - format_char = 'x'; - } - remaining = value; - last_one_off = 0; - dpos = end; - do { - int digit_pos; - switch (format_char) { - case 'o': - digit_pos = abs((int)(remaining % (8*8))); - remaining = (Py_ssize_t) (remaining / (8*8)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); - last_one_off = (digit_pos < 8); - break; - case 'd': - digit_pos = abs((int)(remaining % (10*10))); - remaining = (Py_ssize_t) (remaining / (10*10)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); - last_one_off = (digit_pos < 10); - break; - case 'x': - *(--dpos) = hex_digits[abs((int)(remaining % 16))]; - remaining = (Py_ssize_t) (remaining / 16); - break; - default: - assert(0); - break; - } - } while (unlikely(remaining != 0)); - assert(!last_one_off || *dpos == '0'); - dpos += last_one_off; - length = end - dpos; - ulength = length; - prepend_sign = 0; - if (!is_unsigned && value <= neg_one) { - if (padding_char == ' ' || width <= length + 1) { - *(--dpos) = '-'; - ++length; - } else { - prepend_sign = 1; - } - ++ulength; - } - if (width > ulength) { - ulength = width; - } - if (ulength == 1) { - return PyUnicode_FromOrdinal(*dpos); - } - return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); -} - -/* JoinPyUnicode */ -static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, - Py_UCS4 max_char) { -#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - PyObject *result_uval; - int result_ukind, kind_shift; - Py_ssize_t i, char_pos; - void *result_udata; - CYTHON_MAYBE_UNUSED_VAR(max_char); -#if CYTHON_PEP393_ENABLED - result_uval = PyUnicode_New(result_ulength, max_char); - if (unlikely(!result_uval)) return NULL; - result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND; - kind_shift = (result_ukind == PyUnicode_4BYTE_KIND) ? 2 : result_ukind - 1; - result_udata = PyUnicode_DATA(result_uval); -#else - result_uval = PyUnicode_FromUnicode(NULL, result_ulength); - if (unlikely(!result_uval)) return NULL; - result_ukind = sizeof(Py_UNICODE); - kind_shift = (result_ukind == 4) ? 2 : result_ukind - 1; - result_udata = PyUnicode_AS_UNICODE(result_uval); -#endif - assert(kind_shift == 2 || kind_shift == 1 || kind_shift == 0); - char_pos = 0; - for (i=0; i < value_count; i++) { - int ukind; - Py_ssize_t ulength; - void *udata; - PyObject *uval = PyTuple_GET_ITEM(value_tuple, i); - if (unlikely(__Pyx_PyUnicode_READY(uval))) - goto bad; - ulength = __Pyx_PyUnicode_GET_LENGTH(uval); - if (unlikely(!ulength)) - continue; - if (unlikely((PY_SSIZE_T_MAX >> kind_shift) - ulength < char_pos)) - goto overflow; - ukind = __Pyx_PyUnicode_KIND(uval); - udata = __Pyx_PyUnicode_DATA(uval); - if (!CYTHON_PEP393_ENABLED || ukind == result_ukind) { - memcpy((char *)result_udata + (char_pos << kind_shift), udata, (size_t) (ulength << kind_shift)); - } else { - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030300F0 || defined(_PyUnicode_FastCopyCharacters) - _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength); - #else - Py_ssize_t j; - for (j=0; j < ulength; j++) { - Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j); - __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar); - } - #endif - } - char_pos += ulength; - } - return result_uval; -overflow: - PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); -bad: - Py_DECREF(result_uval); - return NULL; -#else - CYTHON_UNUSED_VAR(max_char); - CYTHON_UNUSED_VAR(result_ulength); - CYTHON_UNUSED_VAR(value_count); - return PyUnicode_Join(__pyx_empty_unicode, value_tuple); -#endif -} - -/* GetAttr */ -static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { -#if CYTHON_USE_TYPE_SLOTS -#if PY_MAJOR_VERSION >= 3 - if (likely(PyUnicode_Check(n))) -#else - if (likely(PyString_Check(n))) -#endif - return __Pyx_PyObject_GetAttrStr(o, n); -#endif - return PyObject_GetAttr(o, n); -} - -/* GetItemInt */ -static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { - PyObject *r; - if (unlikely(!j)) return NULL; - r = PyObject_GetItem(o, j); - Py_DECREF(j); - return r; -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyList_GET_SIZE(o); - } - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { - PyObject *r = PyList_GET_ITEM(o, wrapped_i); - Py_INCREF(r); - return r; - } - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -#else - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyTuple_GET_SIZE(o); - } - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { - PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); - Py_INCREF(r); - return r; - } - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -#else - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, - CYTHON_NCP_UNUSED int wraparound, - CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS - if (is_list || PyList_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); - if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { - PyObject *r = PyList_GET_ITEM(o, n); - Py_INCREF(r); - return r; - } - } - else if (PyTuple_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); - if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { - PyObject *r = PyTuple_GET_ITEM(o, n); - Py_INCREF(r); - return r; - } - } else { - PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; - PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; - if (mm && mm->mp_subscript) { - PyObject *r, *key = PyInt_FromSsize_t(i); - if (unlikely(!key)) return NULL; - r = mm->mp_subscript(o, key); - Py_DECREF(key); - return r; - } - if (likely(sm && sm->sq_item)) { - if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { - Py_ssize_t l = sm->sq_length(o); - if (likely(l >= 0)) { - i += l; - } else { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) - return NULL; - PyErr_Clear(); - } - } - return sm->sq_item(o, i); - } - } -#else - if (is_list || PySequence_Check(o)) { - return PySequence_GetItem(o, i); - } -#endif - return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); -} - -/* PyObjectCallOneArg */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *args[2] = {NULL, arg}; - return __Pyx_PyObject_FastCall(func, args+1, 1 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); -} - -/* ObjectGetItem */ -#if CYTHON_USE_TYPE_SLOTS -static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject *index) { - PyObject *runerr = NULL; - Py_ssize_t key_value; - key_value = __Pyx_PyIndex_AsSsize_t(index); - if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { - return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1); - } - if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { - __Pyx_TypeName index_type_name = __Pyx_PyType_GetName(Py_TYPE(index)); - PyErr_Clear(); - PyErr_Format(PyExc_IndexError, - "cannot fit '" __Pyx_FMT_TYPENAME "' into an index-sized integer", index_type_name); - __Pyx_DECREF_TypeName(index_type_name); - } - return NULL; -} -static PyObject *__Pyx_PyObject_GetItem_Slow(PyObject *obj, PyObject *key) { - __Pyx_TypeName obj_type_name; - if (likely(PyType_Check(obj))) { - PyObject *meth = __Pyx_PyObject_GetAttrStrNoError(obj, __pyx_n_s_class_getitem); - if (meth) { - PyObject *result = __Pyx_PyObject_CallOneArg(meth, key); - Py_DECREF(meth); - return result; - } - } - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "'" __Pyx_FMT_TYPENAME "' object is not subscriptable", obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return NULL; -} -static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject *key) { - PyTypeObject *tp = Py_TYPE(obj); - PyMappingMethods *mm = tp->tp_as_mapping; - PySequenceMethods *sm = tp->tp_as_sequence; - if (likely(mm && mm->mp_subscript)) { - return mm->mp_subscript(obj, key); - } - if (likely(sm && sm->sq_item)) { - return __Pyx_PyObject_GetIndex(obj, key); - } - return __Pyx_PyObject_GetItem_Slow(obj, key); -} -#endif - -/* KeywordStringCheck */ -static int __Pyx_CheckKeywordStrings( - PyObject *kw, - const char* function_name, - int kw_allowed) -{ - PyObject* key = 0; - Py_ssize_t pos = 0; -#if CYTHON_COMPILING_IN_PYPY - if (!kw_allowed && PyDict_Next(kw, &pos, &key, 0)) - goto invalid_keyword; - return 1; -#else - if (CYTHON_METH_FASTCALL && likely(PyTuple_Check(kw))) { - if (unlikely(PyTuple_GET_SIZE(kw) == 0)) - return 1; - if (!kw_allowed) { - key = PyTuple_GET_ITEM(kw, 0); - goto invalid_keyword; - } -#if PY_VERSION_HEX < 0x03090000 - for (pos = 0; pos < PyTuple_GET_SIZE(kw); pos++) { - key = PyTuple_GET_ITEM(kw, pos); - if (unlikely(!PyUnicode_Check(key))) - goto invalid_keyword_type; - } -#endif - return 1; - } - while (PyDict_Next(kw, &pos, &key, 0)) { - #if PY_MAJOR_VERSION < 3 - if (unlikely(!PyString_Check(key))) - #endif - if (unlikely(!PyUnicode_Check(key))) - goto invalid_keyword_type; - } - if (!kw_allowed && unlikely(key)) - goto invalid_keyword; - return 1; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - return 0; -#endif -invalid_keyword: - #if PY_MAJOR_VERSION < 3 - PyErr_Format(PyExc_TypeError, - "%.200s() got an unexpected keyword argument '%.200s'", - function_name, PyString_AsString(key)); - #else - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - #endif - return 0; -} - -/* DivInt[Py_ssize_t] */ -static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { - Py_ssize_t q = a / b; - Py_ssize_t r = a - q*b; - q -= ((r != 0) & ((r ^ b) < 0)); - return q; -} - -/* GetAttr3 */ -static PyObject *__Pyx_GetAttr3Default(PyObject *d) { - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) - return NULL; - __Pyx_PyErr_Clear(); - Py_INCREF(d); - return d; -} -static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { - PyObject *r; -#if CYTHON_USE_TYPE_SLOTS - if (likely(PyString_Check(n))) { - r = __Pyx_PyObject_GetAttrStrNoError(o, n); - if (unlikely(!r) && likely(!PyErr_Occurred())) { - r = __Pyx_NewRef(d); - } - return r; - } -#endif - r = PyObject_GetAttr(o, n); - return (likely(r)) ? r : __Pyx_GetAttr3Default(d); -} - -/* PyDictVersioning */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { - PyObject **dictptr = NULL; - Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; - if (offset) { -#if CYTHON_COMPILING_IN_CPYTHON - dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); -#else - dictptr = _PyObject_GetDictPtr(obj); -#endif - } - return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; -} -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) - return 0; - return obj_dict_version == __Pyx_get_object_dict_version(obj); -} -#endif - -/* GetModuleGlobalName */ -#if CYTHON_USE_DICT_VERSIONS -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) -#else -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) -#endif -{ - PyObject *result; -#if !CYTHON_AVOID_BORROWED_REFS -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 - result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } else if (unlikely(PyErr_Occurred())) { - return NULL; - } -#elif CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(!__pyx_m)) { - return NULL; - } - result = PyObject_GetAttr(__pyx_m, name); - if (likely(result)) { - return result; - } -#else - result = PyDict_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } -#endif -#else - result = PyObject_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } - PyErr_Clear(); -#endif - return __Pyx_GetBuiltinName(name); -} - -/* RaiseTooManyValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { - PyErr_Format(PyExc_ValueError, - "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); -} - -/* RaiseNeedMoreValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { - PyErr_Format(PyExc_ValueError, - "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", - index, (index == 1) ? "" : "s"); -} - -/* RaiseNoneIterError */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { - PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); -} - -/* ExtTypeTest */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { - __Pyx_TypeName obj_type_name; - __Pyx_TypeName type_name; - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - if (likely(__Pyx_TypeCheck(obj, type))) - return 1; - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - type_name = __Pyx_PyType_GetName(type); - PyErr_Format(PyExc_TypeError, - "Cannot convert " __Pyx_FMT_TYPENAME " to " __Pyx_FMT_TYPENAME, - obj_type_name, type_name); - __Pyx_DECREF_TypeName(obj_type_name); - __Pyx_DECREF_TypeName(type_name); - return 0; -} - -/* GetTopmostException */ -#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE -static _PyErr_StackItem * -__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) -{ - _PyErr_StackItem *exc_info = tstate->exc_info; - while ((exc_info->exc_value == NULL || exc_info->exc_value == Py_None) && - exc_info->previous_item != NULL) - { - exc_info = exc_info->previous_item; - } - return exc_info; -} -#endif - -/* SaveResetException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - PyObject *exc_value = exc_info->exc_value; - if (exc_value == NULL || exc_value == Py_None) { - *value = NULL; - *type = NULL; - *tb = NULL; - } else { - *value = exc_value; - Py_INCREF(*value); - *type = (PyObject*) Py_TYPE(exc_value); - Py_INCREF(*type); - *tb = PyException_GetTraceback(exc_value); - } - #elif CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - *type = exc_info->exc_type; - *value = exc_info->exc_value; - *tb = exc_info->exc_traceback; - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); - #else - *type = tstate->exc_type; - *value = tstate->exc_value; - *tb = tstate->exc_traceback; - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); - #endif -} -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = tstate->exc_info; - PyObject *tmp_value = exc_info->exc_value; - exc_info->exc_value = value; - Py_XDECREF(tmp_value); - Py_XDECREF(type); - Py_XDECREF(tb); - #else - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = type; - exc_info->exc_value = value; - exc_info->exc_traceback = tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = type; - tstate->exc_value = value; - tstate->exc_traceback = tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); - #endif -} -#endif - -/* GetException */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) -#endif -{ - PyObject *local_type = NULL, *local_value, *local_tb = NULL; -#if CYTHON_FAST_THREAD_STATE - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if PY_VERSION_HEX >= 0x030C00A6 - local_value = tstate->current_exception; - tstate->current_exception = 0; - if (likely(local_value)) { - local_type = (PyObject*) Py_TYPE(local_value); - Py_INCREF(local_type); - local_tb = PyException_GetTraceback(local_value); - } - #else - local_type = tstate->curexc_type; - local_value = tstate->curexc_value; - local_tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; - #endif -#else - PyErr_Fetch(&local_type, &local_value, &local_tb); -#endif - PyErr_NormalizeException(&local_type, &local_value, &local_tb); -#if CYTHON_FAST_THREAD_STATE && PY_VERSION_HEX >= 0x030C00A6 - if (unlikely(tstate->current_exception)) -#elif CYTHON_FAST_THREAD_STATE - if (unlikely(tstate->curexc_type)) -#else - if (unlikely(PyErr_Occurred())) -#endif - goto bad; - #if PY_MAJOR_VERSION >= 3 - if (local_tb) { - if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) - goto bad; - } - #endif - Py_XINCREF(local_tb); - Py_XINCREF(local_type); - Py_XINCREF(local_value); - *type = local_type; - *value = local_value; - *tb = local_tb; -#if CYTHON_FAST_THREAD_STATE - #if CYTHON_USE_EXC_INFO_STACK - { - _PyErr_StackItem *exc_info = tstate->exc_info; - #if PY_VERSION_HEX >= 0x030B00a4 - tmp_value = exc_info->exc_value; - exc_info->exc_value = local_value; - tmp_type = NULL; - tmp_tb = NULL; - Py_XDECREF(local_type); - Py_XDECREF(local_tb); - #else - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = local_type; - exc_info->exc_value = local_value; - exc_info->exc_traceback = local_tb; - #endif - } - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = local_type; - tstate->exc_value = local_value; - tstate->exc_traceback = local_tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#else - PyErr_SetExcInfo(local_type, local_value, local_tb); -#endif - return 0; -bad: - *type = 0; - *value = 0; - *tb = 0; - Py_XDECREF(local_type); - Py_XDECREF(local_value); - Py_XDECREF(local_tb); - return -1; -} - -/* SwapException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_value = exc_info->exc_value; - exc_info->exc_value = *value; - if (tmp_value == NULL || tmp_value == Py_None) { - Py_XDECREF(tmp_value); - tmp_value = NULL; - tmp_type = NULL; - tmp_tb = NULL; - } else { - tmp_type = (PyObject*) Py_TYPE(tmp_value); - Py_INCREF(tmp_type); - #if CYTHON_COMPILING_IN_CPYTHON - tmp_tb = ((PyBaseExceptionObject*) tmp_value)->traceback; - Py_XINCREF(tmp_tb); - #else - tmp_tb = PyException_GetTraceback(tmp_value); - #endif - } - #elif CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = *type; - exc_info->exc_value = *value; - exc_info->exc_traceback = *tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = *type; - tstate->exc_value = *value; - tstate->exc_traceback = *tb; - #endif - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); - PyErr_SetExcInfo(*type, *value, *tb); - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#endif - -/* Import */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { - PyObject *module = 0; - PyObject *empty_dict = 0; - PyObject *empty_list = 0; - #if PY_MAJOR_VERSION < 3 - PyObject *py_import; - py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); - if (unlikely(!py_import)) - goto bad; - if (!from_list) { - empty_list = PyList_New(0); - if (unlikely(!empty_list)) - goto bad; - from_list = empty_list; - } - #endif - empty_dict = PyDict_New(); - if (unlikely(!empty_dict)) - goto bad; - { - #if PY_MAJOR_VERSION >= 3 - if (level == -1) { - if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) { - #if CYTHON_COMPILING_IN_LIMITED_API - module = PyImport_ImportModuleLevelObject( - name, empty_dict, empty_dict, from_list, 1); - #else - module = PyImport_ImportModuleLevelObject( - name, __pyx_d, empty_dict, from_list, 1); - #endif - if (unlikely(!module)) { - if (unlikely(!PyErr_ExceptionMatches(PyExc_ImportError))) - goto bad; - PyErr_Clear(); - } - } - level = 0; - } - #endif - if (!module) { - #if PY_MAJOR_VERSION < 3 - PyObject *py_level = PyInt_FromLong(level); - if (unlikely(!py_level)) - goto bad; - module = PyObject_CallFunctionObjArgs(py_import, - name, __pyx_d, empty_dict, from_list, py_level, (PyObject *)NULL); - Py_DECREF(py_level); - #else - #if CYTHON_COMPILING_IN_LIMITED_API - module = PyImport_ImportModuleLevelObject( - name, empty_dict, empty_dict, from_list, level); - #else - module = PyImport_ImportModuleLevelObject( - name, __pyx_d, empty_dict, from_list, level); - #endif - #endif - } - } -bad: - Py_XDECREF(empty_dict); - Py_XDECREF(empty_list); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_import); - #endif - return module; -} - -/* ImportDottedModule */ -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx__ImportDottedModule_Error(PyObject *name, PyObject *parts_tuple, Py_ssize_t count) { - PyObject *partial_name = NULL, *slice = NULL, *sep = NULL; - if (unlikely(PyErr_Occurred())) { - PyErr_Clear(); - } - if (likely(PyTuple_GET_SIZE(parts_tuple) == count)) { - partial_name = name; - } else { - slice = PySequence_GetSlice(parts_tuple, 0, count); - if (unlikely(!slice)) - goto bad; - sep = PyUnicode_FromStringAndSize(".", 1); - if (unlikely(!sep)) - goto bad; - partial_name = PyUnicode_Join(sep, slice); - } - PyErr_Format( -#if PY_MAJOR_VERSION < 3 - PyExc_ImportError, - "No module named '%s'", PyString_AS_STRING(partial_name)); -#else -#if PY_VERSION_HEX >= 0x030600B1 - PyExc_ModuleNotFoundError, -#else - PyExc_ImportError, -#endif - "No module named '%U'", partial_name); -#endif -bad: - Py_XDECREF(sep); - Py_XDECREF(slice); - Py_XDECREF(partial_name); - return NULL; -} -#endif -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx__ImportDottedModule_Lookup(PyObject *name) { - PyObject *imported_module; -#if PY_VERSION_HEX < 0x030700A1 || (CYTHON_COMPILING_IN_PYPY && PYPY_VERSION_NUM < 0x07030400) - PyObject *modules = PyImport_GetModuleDict(); - if (unlikely(!modules)) - return NULL; - imported_module = __Pyx_PyDict_GetItemStr(modules, name); - Py_XINCREF(imported_module); -#else - imported_module = PyImport_GetModule(name); -#endif - return imported_module; -} -#endif -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx_ImportDottedModule_WalkParts(PyObject *module, PyObject *name, PyObject *parts_tuple) { - Py_ssize_t i, nparts; - nparts = PyTuple_GET_SIZE(parts_tuple); - for (i=1; i < nparts && module; i++) { - PyObject *part, *submodule; -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - part = PyTuple_GET_ITEM(parts_tuple, i); -#else - part = PySequence_ITEM(parts_tuple, i); -#endif - submodule = __Pyx_PyObject_GetAttrStrNoError(module, part); -#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) - Py_DECREF(part); -#endif - Py_DECREF(module); - module = submodule; - } - if (unlikely(!module)) { - return __Pyx__ImportDottedModule_Error(name, parts_tuple, i); - } - return module; -} -#endif -static PyObject *__Pyx__ImportDottedModule(PyObject *name, PyObject *parts_tuple) { -#if PY_MAJOR_VERSION < 3 - PyObject *module, *from_list, *star = __pyx_n_s__3; - CYTHON_UNUSED_VAR(parts_tuple); - from_list = PyList_New(1); - if (unlikely(!from_list)) - return NULL; - Py_INCREF(star); - PyList_SET_ITEM(from_list, 0, star); - module = __Pyx_Import(name, from_list, 0); - Py_DECREF(from_list); - return module; -#else - PyObject *imported_module; - PyObject *module = __Pyx_Import(name, NULL, 0); - if (!parts_tuple || unlikely(!module)) - return module; - imported_module = __Pyx__ImportDottedModule_Lookup(name); - if (likely(imported_module)) { - Py_DECREF(module); - return imported_module; - } - PyErr_Clear(); - return __Pyx_ImportDottedModule_WalkParts(module, name, parts_tuple); -#endif -} -static PyObject *__Pyx_ImportDottedModule(PyObject *name, PyObject *parts_tuple) { -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030400B1 - PyObject *module = __Pyx__ImportDottedModule_Lookup(name); - if (likely(module)) { - PyObject *spec = __Pyx_PyObject_GetAttrStrNoError(module, __pyx_n_s_spec); - if (likely(spec)) { - PyObject *unsafe = __Pyx_PyObject_GetAttrStrNoError(spec, __pyx_n_s_initializing); - if (likely(!unsafe || !__Pyx_PyObject_IsTrue(unsafe))) { - Py_DECREF(spec); - spec = NULL; - } - Py_XDECREF(unsafe); - } - if (likely(!spec)) { - PyErr_Clear(); - return module; - } - Py_DECREF(spec); - Py_DECREF(module); - } else if (PyErr_Occurred()) { - PyErr_Clear(); - } -#endif - return __Pyx__ImportDottedModule(name, parts_tuple); -} - -/* ssize_strlen */ -static CYTHON_INLINE Py_ssize_t __Pyx_ssize_strlen(const char *s) { - size_t len = strlen(s); - if (unlikely(len > PY_SSIZE_T_MAX)) { - PyErr_SetString(PyExc_OverflowError, "byte string is too long"); - return -1; - } - return (Py_ssize_t) len; -} - -/* FastTypeChecks */ -#if CYTHON_COMPILING_IN_CPYTHON -static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { - while (a) { - a = __Pyx_PyType_GetSlot(a, tp_base, PyTypeObject*); - if (a == b) - return 1; - } - return b == &PyBaseObject_Type; -} -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (a == b) return 1; - mro = a->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(a, b); -} -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (cls == a || cls == b) return 1; - mro = cls->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - PyObject *base = PyTuple_GET_ITEM(mro, i); - if (base == (PyObject *)a || base == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(cls, a) || __Pyx_InBases(cls, b); -} -#if PY_MAJOR_VERSION == 2 -static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { - PyObject *exception, *value, *tb; - int res; - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - __Pyx_ErrFetch(&exception, &value, &tb); - res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - if (!res) { - res = PyObject_IsSubclass(err, exc_type2); - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - } - __Pyx_ErrRestore(exception, value, tb); - return res; -} -#else -static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { - if (exc_type1) { - return __Pyx_IsAnySubtype2((PyTypeObject*)err, (PyTypeObject*)exc_type1, (PyTypeObject*)exc_type2); - } else { - return __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); - } -} -#endif -static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - assert(PyExceptionClass_Check(exc_type)); - n = PyTuple_GET_SIZE(tuple); -#if PY_MAJOR_VERSION >= 3 - for (i=0; itp_as_sequence && type->tp_as_sequence->sq_repeat)) { - return type->tp_as_sequence->sq_repeat(seq, mul); - } else -#endif - { - return __Pyx_PySequence_Multiply_Generic(seq, mul); - } -} - -/* SetItemInt */ -static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { - int r; - if (unlikely(!j)) return -1; - r = PyObject_SetItem(o, j, v); - Py_DECREF(j); - return r; -} -static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, - CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) { -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS - if (is_list || PyList_CheckExact(o)) { - Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); - if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o)))) { - PyObject* old = PyList_GET_ITEM(o, n); - Py_INCREF(v); - PyList_SET_ITEM(o, n, v); - Py_DECREF(old); - return 1; - } - } else { - PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; - PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; - if (mm && mm->mp_ass_subscript) { - int r; - PyObject *key = PyInt_FromSsize_t(i); - if (unlikely(!key)) return -1; - r = mm->mp_ass_subscript(o, key, v); - Py_DECREF(key); - return r; - } - if (likely(sm && sm->sq_ass_item)) { - if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { - Py_ssize_t l = sm->sq_length(o); - if (likely(l >= 0)) { - i += l; - } else { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) - return -1; - PyErr_Clear(); - } - } - return sm->sq_ass_item(o, i, v); - } - } -#else -#if CYTHON_COMPILING_IN_PYPY - if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) -#else - if (is_list || PySequence_Check(o)) -#endif - { - return PySequence_SetItem(o, i, v); - } -#endif - return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); -} - -/* RaiseUnboundLocalError */ -static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { - PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); -} - -/* DivInt[long] */ -static CYTHON_INLINE long __Pyx_div_long(long a, long b) { - long q = a / b; - long r = a - q*b; - q -= ((r != 0) & ((r ^ b) < 0)); - return q; -} - -/* ImportFrom */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { - PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); - if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { - const char* module_name_str = 0; - PyObject* module_name = 0; - PyObject* module_dot = 0; - PyObject* full_name = 0; - PyErr_Clear(); - module_name_str = PyModule_GetName(module); - if (unlikely(!module_name_str)) { goto modbad; } - module_name = PyUnicode_FromString(module_name_str); - if (unlikely(!module_name)) { goto modbad; } - module_dot = PyUnicode_Concat(module_name, __pyx_kp_u__2); - if (unlikely(!module_dot)) { goto modbad; } - full_name = PyUnicode_Concat(module_dot, name); - if (unlikely(!full_name)) { goto modbad; } - #if PY_VERSION_HEX < 0x030700A1 || (CYTHON_COMPILING_IN_PYPY && PYPY_VERSION_NUM < 0x07030400) - { - PyObject *modules = PyImport_GetModuleDict(); - if (unlikely(!modules)) - goto modbad; - value = PyObject_GetItem(modules, full_name); - } - #else - value = PyImport_GetModule(full_name); - #endif - modbad: - Py_XDECREF(full_name); - Py_XDECREF(module_dot); - Py_XDECREF(module_name); - } - if (unlikely(!value)) { - PyErr_Format(PyExc_ImportError, - #if PY_MAJOR_VERSION < 3 - "cannot import name %.230s", PyString_AS_STRING(name)); - #else - "cannot import name %S", name); - #endif - } - return value; -} - -/* HasAttr */ -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { - PyObject *r; - if (unlikely(!__Pyx_PyBaseString_Check(n))) { - PyErr_SetString(PyExc_TypeError, - "hasattr(): attribute name must be string"); - return -1; - } - r = __Pyx_GetAttr(o, n); - if (!r) { - PyErr_Clear(); - return 0; - } else { - Py_DECREF(r); - return 1; - } -} - -/* ErrOccurredWithGIL */ -static CYTHON_INLINE int __Pyx_ErrOccurredWithGIL(void) { - int err; - #ifdef WITH_THREAD - PyGILState_STATE _save = PyGILState_Ensure(); - #endif - err = !!PyErr_Occurred(); - #ifdef WITH_THREAD - PyGILState_Release(_save); - #endif - return err; -} - -/* PyObject_GenericGetAttrNoDict */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) { - __Pyx_TypeName type_name = __Pyx_PyType_GetName(tp); - PyErr_Format(PyExc_AttributeError, -#if PY_MAJOR_VERSION >= 3 - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%U'", - type_name, attr_name); -#else - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%.400s'", - type_name, PyString_AS_STRING(attr_name)); -#endif - __Pyx_DECREF_TypeName(type_name); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) { - PyObject *descr; - PyTypeObject *tp = Py_TYPE(obj); - if (unlikely(!PyString_Check(attr_name))) { - return PyObject_GenericGetAttr(obj, attr_name); - } - assert(!tp->tp_dictoffset); - descr = _PyType_Lookup(tp, attr_name); - if (unlikely(!descr)) { - return __Pyx_RaiseGenericGetAttributeError(tp, attr_name); - } - Py_INCREF(descr); - #if PY_MAJOR_VERSION < 3 - if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS))) - #endif - { - descrgetfunc f = Py_TYPE(descr)->tp_descr_get; - if (unlikely(f)) { - PyObject *res = f(descr, obj, (PyObject *)tp); - Py_DECREF(descr); - return res; - } - } - return descr; -} -#endif - -/* PyObject_GenericGetAttr */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { - if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { - return PyObject_GenericGetAttr(obj, attr_name); - } - return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name); -} -#endif - -/* FixUpExtensionType */ -#if CYTHON_USE_TYPE_SPECS -static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type) { -#if PY_VERSION_HEX > 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - CYTHON_UNUSED_VAR(spec); - CYTHON_UNUSED_VAR(type); -#else - const PyType_Slot *slot = spec->slots; - while (slot && slot->slot && slot->slot != Py_tp_members) - slot++; - if (slot && slot->slot == Py_tp_members) { - int changed = 0; -#if !(PY_VERSION_HEX <= 0x030900b1 && CYTHON_COMPILING_IN_CPYTHON) - const -#endif - PyMemberDef *memb = (PyMemberDef*) slot->pfunc; - while (memb && memb->name) { - if (memb->name[0] == '_' && memb->name[1] == '_') { -#if PY_VERSION_HEX < 0x030900b1 - if (strcmp(memb->name, "__weaklistoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_weaklistoffset = memb->offset; - changed = 1; - } - else if (strcmp(memb->name, "__dictoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_dictoffset = memb->offset; - changed = 1; - } -#if CYTHON_METH_FASTCALL - else if (strcmp(memb->name, "__vectorcalloffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); -#if PY_VERSION_HEX >= 0x030800b4 - type->tp_vectorcall_offset = memb->offset; -#else - type->tp_print = (printfunc) memb->offset; -#endif - changed = 1; - } -#endif -#else - if ((0)); -#endif -#if PY_VERSION_HEX <= 0x030900b1 && CYTHON_COMPILING_IN_CPYTHON - else if (strcmp(memb->name, "__module__") == 0) { - PyObject *descr; - assert(memb->type == T_OBJECT); - assert(memb->flags == 0 || memb->flags == READONLY); - descr = PyDescr_NewMember(type, memb); - if (unlikely(!descr)) - return -1; - if (unlikely(PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr) < 0)) { - Py_DECREF(descr); - return -1; - } - Py_DECREF(descr); - changed = 1; - } -#endif - } - memb++; - } - if (changed) - PyType_Modified(type); - } -#endif - return 0; -} -#endif - -/* PyObjectCallNoArg */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { - PyObject *arg = NULL; - return __Pyx_PyObject_FastCall(func, (&arg)+1, 0 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); -} - -/* PyObjectGetMethod */ -static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) { - PyObject *attr; -#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP - __Pyx_TypeName type_name; - PyTypeObject *tp = Py_TYPE(obj); - PyObject *descr; - descrgetfunc f = NULL; - PyObject **dictptr, *dict; - int meth_found = 0; - assert (*method == NULL); - if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) { - attr = __Pyx_PyObject_GetAttrStr(obj, name); - goto try_unpack; - } - if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) { - return 0; - } - descr = _PyType_Lookup(tp, name); - if (likely(descr != NULL)) { - Py_INCREF(descr); -#if defined(Py_TPFLAGS_METHOD_DESCRIPTOR) && Py_TPFLAGS_METHOD_DESCRIPTOR - if (__Pyx_PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_METHOD_DESCRIPTOR)) -#elif PY_MAJOR_VERSION >= 3 - #ifdef __Pyx_CyFunction_USED - if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr))) - #else - if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type))) - #endif -#else - #ifdef __Pyx_CyFunction_USED - if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr))) - #else - if (likely(PyFunction_Check(descr))) - #endif -#endif - { - meth_found = 1; - } else { - f = Py_TYPE(descr)->tp_descr_get; - if (f != NULL && PyDescr_IsData(descr)) { - attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); - Py_DECREF(descr); - goto try_unpack; - } - } - } - dictptr = _PyObject_GetDictPtr(obj); - if (dictptr != NULL && (dict = *dictptr) != NULL) { - Py_INCREF(dict); - attr = __Pyx_PyDict_GetItemStr(dict, name); - if (attr != NULL) { - Py_INCREF(attr); - Py_DECREF(dict); - Py_XDECREF(descr); - goto try_unpack; - } - Py_DECREF(dict); - } - if (meth_found) { - *method = descr; - return 1; - } - if (f != NULL) { - attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); - Py_DECREF(descr); - goto try_unpack; - } - if (likely(descr != NULL)) { - *method = descr; - return 0; - } - type_name = __Pyx_PyType_GetName(tp); - PyErr_Format(PyExc_AttributeError, -#if PY_MAJOR_VERSION >= 3 - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%U'", - type_name, name); -#else - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%.400s'", - type_name, PyString_AS_STRING(name)); -#endif - __Pyx_DECREF_TypeName(type_name); - return 0; -#else - attr = __Pyx_PyObject_GetAttrStr(obj, name); - goto try_unpack; -#endif -try_unpack: -#if CYTHON_UNPACK_METHODS - if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) { - PyObject *function = PyMethod_GET_FUNCTION(attr); - Py_INCREF(function); - Py_DECREF(attr); - *method = function; - return 1; - } -#endif - *method = attr; - return 0; -} - -/* PyObjectCallMethod0 */ -static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { - PyObject *method = NULL, *result = NULL; - int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); - if (likely(is_method)) { - result = __Pyx_PyObject_CallOneArg(method, obj); - Py_DECREF(method); - return result; - } - if (unlikely(!method)) goto bad; - result = __Pyx_PyObject_CallNoArg(method); - Py_DECREF(method); -bad: - return result; -} - -/* ValidateBasesTuple */ -#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS -static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases) { - Py_ssize_t i, n = PyTuple_GET_SIZE(bases); - for (i = 1; i < n; i++) - { - PyObject *b0 = PyTuple_GET_ITEM(bases, i); - PyTypeObject *b; -#if PY_MAJOR_VERSION < 3 - if (PyClass_Check(b0)) - { - PyErr_Format(PyExc_TypeError, "base class '%.200s' is an old-style class", - PyString_AS_STRING(((PyClassObject*)b0)->cl_name)); - return -1; - } -#endif - b = (PyTypeObject*) b0; - if (!__Pyx_PyType_HasFeature(b, Py_TPFLAGS_HEAPTYPE)) - { - __Pyx_TypeName b_name = __Pyx_PyType_GetName(b); - PyErr_Format(PyExc_TypeError, - "base class '" __Pyx_FMT_TYPENAME "' is not a heap type", b_name); - __Pyx_DECREF_TypeName(b_name); - return -1; - } - if (dictoffset == 0 && b->tp_dictoffset) - { - __Pyx_TypeName b_name = __Pyx_PyType_GetName(b); - PyErr_Format(PyExc_TypeError, - "extension type '%.200s' has no __dict__ slot, " - "but base type '" __Pyx_FMT_TYPENAME "' has: " - "either add 'cdef dict __dict__' to the extension type " - "or add '__slots__ = [...]' to the base type", - type_name, b_name); - __Pyx_DECREF_TypeName(b_name); - return -1; - } - } - return 0; -} -#endif - -/* PyType_Ready */ -static int __Pyx_PyType_Ready(PyTypeObject *t) { -#if CYTHON_USE_TYPE_SPECS || !(CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API) || defined(PYSTON_MAJOR_VERSION) - (void)__Pyx_PyObject_CallMethod0; -#if CYTHON_USE_TYPE_SPECS - (void)__Pyx_validate_bases_tuple; -#endif - return PyType_Ready(t); -#else - int r; - PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); - if (bases && unlikely(__Pyx_validate_bases_tuple(t->tp_name, t->tp_dictoffset, bases) == -1)) - return -1; -#if PY_VERSION_HEX >= 0x03050000 && !defined(PYSTON_MAJOR_VERSION) - { - int gc_was_enabled; - #if PY_VERSION_HEX >= 0x030A00b1 - gc_was_enabled = PyGC_Disable(); - (void)__Pyx_PyObject_CallMethod0; - #else - PyObject *ret, *py_status; - PyObject *gc = NULL; - #if PY_VERSION_HEX >= 0x030700a1 && (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM+0 >= 0x07030400) - gc = PyImport_GetModule(__pyx_kp_u_gc); - #endif - if (unlikely(!gc)) gc = PyImport_Import(__pyx_kp_u_gc); - if (unlikely(!gc)) return -1; - py_status = __Pyx_PyObject_CallMethod0(gc, __pyx_kp_u_isenabled); - if (unlikely(!py_status)) { - Py_DECREF(gc); - return -1; - } - gc_was_enabled = __Pyx_PyObject_IsTrue(py_status); - Py_DECREF(py_status); - if (gc_was_enabled > 0) { - ret = __Pyx_PyObject_CallMethod0(gc, __pyx_kp_u_disable); - if (unlikely(!ret)) { - Py_DECREF(gc); - return -1; - } - Py_DECREF(ret); - } else if (unlikely(gc_was_enabled == -1)) { - Py_DECREF(gc); - return -1; - } - #endif - t->tp_flags |= Py_TPFLAGS_HEAPTYPE; -#if PY_VERSION_HEX >= 0x030A0000 - t->tp_flags |= Py_TPFLAGS_IMMUTABLETYPE; -#endif -#else - (void)__Pyx_PyObject_CallMethod0; -#endif - r = PyType_Ready(t); -#if PY_VERSION_HEX >= 0x03050000 && !defined(PYSTON_MAJOR_VERSION) - t->tp_flags &= ~Py_TPFLAGS_HEAPTYPE; - #if PY_VERSION_HEX >= 0x030A00b1 - if (gc_was_enabled) - PyGC_Enable(); - #else - if (gc_was_enabled) { - PyObject *tp, *v, *tb; - PyErr_Fetch(&tp, &v, &tb); - ret = __Pyx_PyObject_CallMethod0(gc, __pyx_kp_u_enable); - if (likely(ret || r == -1)) { - Py_XDECREF(ret); - PyErr_Restore(tp, v, tb); - } else { - Py_XDECREF(tp); - Py_XDECREF(v); - Py_XDECREF(tb); - r = -1; - } - } - Py_DECREF(gc); - #endif - } -#endif - return r; -#endif -} - -/* SetVTable */ -static int __Pyx_SetVtable(PyTypeObject *type, void *vtable) { - PyObject *ob = PyCapsule_New(vtable, 0, 0); - if (unlikely(!ob)) - goto bad; -#if CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(PyObject_SetAttr((PyObject *) type, __pyx_n_s_pyx_vtable, ob) < 0)) -#else - if (unlikely(PyDict_SetItem(type->tp_dict, __pyx_n_s_pyx_vtable, ob) < 0)) -#endif - goto bad; - Py_DECREF(ob); - return 0; -bad: - Py_XDECREF(ob); - return -1; -} - -/* GetVTable */ -static void* __Pyx_GetVtable(PyTypeObject *type) { - void* ptr; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *ob = PyObject_GetAttr((PyObject *)type, __pyx_n_s_pyx_vtable); -#else - PyObject *ob = PyObject_GetItem(type->tp_dict, __pyx_n_s_pyx_vtable); -#endif - if (!ob) - goto bad; - ptr = PyCapsule_GetPointer(ob, 0); - if (!ptr && !PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type"); - Py_DECREF(ob); - return ptr; -bad: - Py_XDECREF(ob); - return NULL; -} - -/* MergeVTables */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_MergeVtables(PyTypeObject *type) { - int i; - void** base_vtables; - __Pyx_TypeName tp_base_name; - __Pyx_TypeName base_name; - void* unknown = (void*)-1; - PyObject* bases = type->tp_bases; - int base_depth = 0; - { - PyTypeObject* base = type->tp_base; - while (base) { - base_depth += 1; - base = base->tp_base; - } - } - base_vtables = (void**) malloc(sizeof(void*) * (size_t)(base_depth + 1)); - base_vtables[0] = unknown; - for (i = 1; i < PyTuple_GET_SIZE(bases); i++) { - void* base_vtable = __Pyx_GetVtable(((PyTypeObject*)PyTuple_GET_ITEM(bases, i))); - if (base_vtable != NULL) { - int j; - PyTypeObject* base = type->tp_base; - for (j = 0; j < base_depth; j++) { - if (base_vtables[j] == unknown) { - base_vtables[j] = __Pyx_GetVtable(base); - base_vtables[j + 1] = unknown; - } - if (base_vtables[j] == base_vtable) { - break; - } else if (base_vtables[j] == NULL) { - goto bad; - } - base = base->tp_base; - } - } - } - PyErr_Clear(); - free(base_vtables); - return 0; -bad: - tp_base_name = __Pyx_PyType_GetName(type->tp_base); - base_name = __Pyx_PyType_GetName((PyTypeObject*)PyTuple_GET_ITEM(bases, i)); - PyErr_Format(PyExc_TypeError, - "multiple bases have vtable conflict: '" __Pyx_FMT_TYPENAME "' and '" __Pyx_FMT_TYPENAME "'", tp_base_name, base_name); - __Pyx_DECREF_TypeName(tp_base_name); - __Pyx_DECREF_TypeName(base_name); - free(base_vtables); - return -1; -} -#endif - -/* SetupReduce */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { - int ret; - PyObject *name_attr; - name_attr = __Pyx_PyObject_GetAttrStrNoError(meth, __pyx_n_s_name_2); - if (likely(name_attr)) { - ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); - } else { - ret = -1; - } - if (unlikely(ret < 0)) { - PyErr_Clear(); - ret = 0; - } - Py_XDECREF(name_attr); - return ret; -} -static int __Pyx_setup_reduce(PyObject* type_obj) { - int ret = 0; - PyObject *object_reduce = NULL; - PyObject *object_getstate = NULL; - PyObject *object_reduce_ex = NULL; - PyObject *reduce = NULL; - PyObject *reduce_ex = NULL; - PyObject *reduce_cython = NULL; - PyObject *setstate = NULL; - PyObject *setstate_cython = NULL; - PyObject *getstate = NULL; -#if CYTHON_USE_PYTYPE_LOOKUP - getstate = _PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate); -#else - getstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_getstate); - if (!getstate && PyErr_Occurred()) { - goto __PYX_BAD; - } -#endif - if (getstate) { -#if CYTHON_USE_PYTYPE_LOOKUP - object_getstate = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_getstate); -#else - object_getstate = __Pyx_PyObject_GetAttrStrNoError((PyObject*)&PyBaseObject_Type, __pyx_n_s_getstate); - if (!object_getstate && PyErr_Occurred()) { - goto __PYX_BAD; - } -#endif - if (object_getstate != getstate) { - goto __PYX_GOOD; - } - } -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#else - object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#endif - reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; - if (reduce_ex == object_reduce_ex) { -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; -#else - object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD; -#endif - reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD; - if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) { - reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython); - if (likely(reduce_cython)) { - ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - } else if (reduce == object_reduce || PyErr_Occurred()) { - goto __PYX_BAD; - } - setstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate); - if (!setstate) PyErr_Clear(); - if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) { - setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython); - if (likely(setstate_cython)) { - ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - } else if (!setstate || PyErr_Occurred()) { - goto __PYX_BAD; - } - } - PyType_Modified((PyTypeObject*)type_obj); - } - } - goto __PYX_GOOD; -__PYX_BAD: - if (!PyErr_Occurred()) { - __Pyx_TypeName type_obj_name = - __Pyx_PyType_GetName((PyTypeObject*)type_obj); - PyErr_Format(PyExc_RuntimeError, - "Unable to initialize pickling for " __Pyx_FMT_TYPENAME, type_obj_name); - __Pyx_DECREF_TypeName(type_obj_name); - } - ret = -1; -__PYX_GOOD: -#if !CYTHON_USE_PYTYPE_LOOKUP - Py_XDECREF(object_reduce); - Py_XDECREF(object_reduce_ex); - Py_XDECREF(object_getstate); - Py_XDECREF(getstate); -#endif - Py_XDECREF(reduce); - Py_XDECREF(reduce_ex); - Py_XDECREF(reduce_cython); - Py_XDECREF(setstate); - Py_XDECREF(setstate_cython); - return ret; -} -#endif - -/* FetchSharedCythonModule */ -static PyObject *__Pyx_FetchSharedCythonABIModule(void) { - PyObject *abi_module = PyImport_AddModule((char*) __PYX_ABI_MODULE_NAME); - if (unlikely(!abi_module)) return NULL; - Py_INCREF(abi_module); - return abi_module; -} - -/* FetchCommonType */ -static int __Pyx_VerifyCachedType(PyObject *cached_type, - const char *name, - Py_ssize_t basicsize, - Py_ssize_t expected_basicsize) { - if (!PyType_Check(cached_type)) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s is not a type object", name); - return -1; - } - if (basicsize != expected_basicsize) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s has the wrong size, try recompiling", - name); - return -1; - } - return 0; -} -#if !CYTHON_USE_TYPE_SPECS -static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { - PyObject* abi_module; - const char* object_name; - PyTypeObject *cached_type = NULL; - abi_module = __Pyx_FetchSharedCythonABIModule(); - if (!abi_module) return NULL; - object_name = strrchr(type->tp_name, '.'); - object_name = object_name ? object_name+1 : type->tp_name; - cached_type = (PyTypeObject*) PyObject_GetAttrString(abi_module, object_name); - if (cached_type) { - if (__Pyx_VerifyCachedType( - (PyObject *)cached_type, - object_name, - cached_type->tp_basicsize, - type->tp_basicsize) < 0) { - goto bad; - } - goto done; - } - if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; - PyErr_Clear(); - if (PyType_Ready(type) < 0) goto bad; - if (PyObject_SetAttrString(abi_module, object_name, (PyObject *)type) < 0) - goto bad; - Py_INCREF(type); - cached_type = type; -done: - Py_DECREF(abi_module); - return cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} -#else -static PyTypeObject *__Pyx_FetchCommonTypeFromSpec(PyObject *module, PyType_Spec *spec, PyObject *bases) { - PyObject *abi_module, *cached_type = NULL; - const char* object_name = strrchr(spec->name, '.'); - object_name = object_name ? object_name+1 : spec->name; - abi_module = __Pyx_FetchSharedCythonABIModule(); - if (!abi_module) return NULL; - cached_type = PyObject_GetAttrString(abi_module, object_name); - if (cached_type) { - Py_ssize_t basicsize; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *py_basicsize; - py_basicsize = PyObject_GetAttrString(cached_type, "__basicsize__"); - if (unlikely(!py_basicsize)) goto bad; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = 0; - if (unlikely(basicsize == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; -#else - basicsize = likely(PyType_Check(cached_type)) ? ((PyTypeObject*) cached_type)->tp_basicsize : -1; -#endif - if (__Pyx_VerifyCachedType( - cached_type, - object_name, - basicsize, - spec->basicsize) < 0) { - goto bad; - } - goto done; - } - if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; - PyErr_Clear(); - CYTHON_UNUSED_VAR(module); - cached_type = __Pyx_PyType_FromModuleAndSpec(abi_module, spec, bases); - if (unlikely(!cached_type)) goto bad; - if (unlikely(__Pyx_fix_up_extension_type_from_spec(spec, (PyTypeObject *) cached_type) < 0)) goto bad; - if (PyObject_SetAttrString(abi_module, object_name, cached_type) < 0) goto bad; -done: - Py_DECREF(abi_module); - assert(cached_type == NULL || PyType_Check(cached_type)); - return (PyTypeObject *) cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} -#endif - -/* PyVectorcallFastCallDict */ -#if CYTHON_METH_FASTCALL -static PyObject *__Pyx_PyVectorcall_FastCallDict_kw(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - PyObject *res = NULL; - PyObject *kwnames; - PyObject **newargs; - PyObject **kwvalues; - Py_ssize_t i, pos; - size_t j; - PyObject *key, *value; - unsigned long keys_are_strings; - Py_ssize_t nkw = PyDict_GET_SIZE(kw); - newargs = (PyObject **)PyMem_Malloc((nargs + (size_t)nkw) * sizeof(args[0])); - if (unlikely(newargs == NULL)) { - PyErr_NoMemory(); - return NULL; - } - for (j = 0; j < nargs; j++) newargs[j] = args[j]; - kwnames = PyTuple_New(nkw); - if (unlikely(kwnames == NULL)) { - PyMem_Free(newargs); - return NULL; - } - kwvalues = newargs + nargs; - pos = i = 0; - keys_are_strings = Py_TPFLAGS_UNICODE_SUBCLASS; - while (PyDict_Next(kw, &pos, &key, &value)) { - keys_are_strings &= Py_TYPE(key)->tp_flags; - Py_INCREF(key); - Py_INCREF(value); - PyTuple_SET_ITEM(kwnames, i, key); - kwvalues[i] = value; - i++; - } - if (unlikely(!keys_are_strings)) { - PyErr_SetString(PyExc_TypeError, "keywords must be strings"); - goto cleanup; - } - res = vc(func, newargs, nargs, kwnames); -cleanup: - Py_DECREF(kwnames); - for (i = 0; i < nkw; i++) - Py_DECREF(kwvalues[i]); - PyMem_Free(newargs); - return res; -} -static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - if (likely(kw == NULL) || PyDict_GET_SIZE(kw) == 0) { - return vc(func, args, nargs, NULL); - } - return __Pyx_PyVectorcall_FastCallDict_kw(func, vc, args, nargs, kw); -} -#endif - -/* CythonFunctionShared */ -static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj) { -#if PY_VERSION_HEX < 0x030900B1 - __Pyx_Py_XDECREF_SET( - __Pyx_CyFunction_GetClassObj(f), - ((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#else - __Pyx_Py_XDECREF_SET( - ((PyCMethodObject *) (f))->mm_class, - (PyTypeObject*)((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#endif -} -static PyObject * -__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, void *closure) -{ - CYTHON_UNUSED_VAR(closure); - if (unlikely(op->func_doc == NULL)) { - if (((PyCFunctionObject*)op)->m_ml->ml_doc) { -#if PY_MAJOR_VERSION >= 3 - op->func_doc = PyUnicode_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); -#else - op->func_doc = PyString_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); -#endif - if (unlikely(op->func_doc == NULL)) - return NULL; - } else { - Py_INCREF(Py_None); - return Py_None; - } - } - Py_INCREF(op->func_doc); - return op->func_doc; -} -static int -__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (value == NULL) { - value = Py_None; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_doc, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(op->func_name == NULL)) { -#if PY_MAJOR_VERSION >= 3 - op->func_name = PyUnicode_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); -#else - op->func_name = PyString_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); -#endif - if (unlikely(op->func_name == NULL)) - return NULL; - } - Py_INCREF(op->func_name); - return op->func_name; -} -static int -__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__name__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_name, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - Py_INCREF(op->func_qualname); - return op->func_qualname; -} -static int -__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__qualname__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_qualname, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(op->func_dict == NULL)) { - op->func_dict = PyDict_New(); - if (unlikely(op->func_dict == NULL)) - return NULL; - } - Py_INCREF(op->func_dict); - return op->func_dict; -} -static int -__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(value == NULL)) { - PyErr_SetString(PyExc_TypeError, - "function's dictionary may not be deleted"); - return -1; - } - if (unlikely(!PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "setting function's dictionary to a non-dict"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_dict, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - Py_INCREF(op->func_globals); - return op->func_globals; -} -static PyObject * -__Pyx_CyFunction_get_closure(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(op); - CYTHON_UNUSED_VAR(context); - Py_INCREF(Py_None); - return Py_None; -} -static PyObject * -__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, void *context) -{ - PyObject* result = (op->func_code) ? op->func_code : Py_None; - CYTHON_UNUSED_VAR(context); - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { - int result = 0; - PyObject *res = op->defaults_getter((PyObject *) op); - if (unlikely(!res)) - return -1; - #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - op->defaults_tuple = PyTuple_GET_ITEM(res, 0); - Py_INCREF(op->defaults_tuple); - op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); - Py_INCREF(op->defaults_kwdict); - #else - op->defaults_tuple = PySequence_ITEM(res, 0); - if (unlikely(!op->defaults_tuple)) result = -1; - else { - op->defaults_kwdict = PySequence_ITEM(res, 1); - if (unlikely(!op->defaults_kwdict)) result = -1; - } - #endif - Py_DECREF(res); - return result; -} -static int -__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value) { - value = Py_None; - } else if (unlikely(value != Py_None && !PyTuple_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__defaults__ must be set to a tuple object"); - return -1; - } - PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__defaults__ will not " - "currently affect the values used in function calls", 1); - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->defaults_tuple, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, void *context) { - PyObject* result = op->defaults_tuple; - CYTHON_UNUSED_VAR(context); - if (unlikely(!result)) { - if (op->defaults_getter) { - if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; - result = op->defaults_tuple; - } else { - result = Py_None; 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- return result; -} -static int -__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value || value == Py_None) { - value = NULL; - } else if (unlikely(!PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__annotations__ must be set to a dict object"); - return -1; - } - Py_XINCREF(value); - __Pyx_Py_XDECREF_SET(op->func_annotations, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, void *context) { - PyObject* result = op->func_annotations; - CYTHON_UNUSED_VAR(context); - if (unlikely(!result)) { - result = PyDict_New(); - if (unlikely(!result)) return NULL; - op->func_annotations = result; - } - Py_INCREF(result); - return result; -} -static PyObject * -__Pyx_CyFunction_get_is_coroutine(__pyx_CyFunctionObject *op, void *context) { - int is_coroutine; - CYTHON_UNUSED_VAR(context); - if (op->func_is_coroutine) { - return __Pyx_NewRef(op->func_is_coroutine); 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- Py_CLEAR(m->func_is_coroutine); - if (m->defaults) { - PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); - int i; - for (i = 0; i < m->defaults_pyobjects; i++) - Py_XDECREF(pydefaults[i]); - PyObject_Free(m->defaults); - m->defaults = NULL; - } - return 0; -} -static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m) -{ - if (__Pyx_CyFunction_weakreflist(m) != NULL) - PyObject_ClearWeakRefs((PyObject *) m); - __Pyx_CyFunction_clear(m); - __Pyx_PyHeapTypeObject_GC_Del(m); -} -static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) -{ - PyObject_GC_UnTrack(m); - __Pyx__CyFunction_dealloc(m); -} -static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) -{ - Py_VISIT(m->func_closure); - Py_VISIT(((PyCFunctionObject*)m)->m_module); - Py_VISIT(m->func_dict); - Py_VISIT(m->func_name); - Py_VISIT(m->func_qualname); - Py_VISIT(m->func_doc); - Py_VISIT(m->func_globals); - Py_VISIT(m->func_code); - Py_VISIT(__Pyx_CyFunction_GetClassObj(m)); - Py_VISIT(m->defaults_tuple); - Py_VISIT(m->defaults_kwdict); - Py_VISIT(m->func_is_coroutine); - if (m->defaults) { - PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); - int i; - for (i = 0; i < m->defaults_pyobjects; i++) - Py_VISIT(pydefaults[i]); - } - return 0; -} -static PyObject* -__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) -{ -#if PY_MAJOR_VERSION >= 3 - return PyUnicode_FromFormat("", - op->func_qualname, (void *)op); -#else - return PyString_FromFormat("", - PyString_AsString(op->func_qualname), (void *)op); -#endif -} -static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) { - PyCFunctionObject* f = (PyCFunctionObject*)func; - PyCFunction meth = f->m_ml->ml_meth; - Py_ssize_t size; - switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { - case METH_VARARGS: - if (likely(kw == NULL || PyDict_Size(kw) == 0)) - return (*meth)(self, arg); - break; - case METH_VARARGS | METH_KEYWORDS: - return (*(PyCFunctionWithKeywords)(void*)meth)(self, arg, kw); 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- PyObject *self; - argc = PyTuple_GET_SIZE(args); - new_args = PyTuple_GetSlice(args, 1, argc); - if (unlikely(!new_args)) - return NULL; - self = PyTuple_GetItem(args, 0); - if (unlikely(!self)) { - Py_DECREF(new_args); -#if PY_MAJOR_VERSION > 2 - PyErr_Format(PyExc_TypeError, - "unbound method %.200S() needs an argument", - cyfunc->func_qualname); -#else - PyErr_SetString(PyExc_TypeError, - "unbound method needs an argument"); -#endif - return NULL; - } - result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw); - Py_DECREF(new_args); - } else { - result = __Pyx_CyFunction_Call(func, args, kw); - } - return result; -} -#if CYTHON_METH_FASTCALL -static CYTHON_INLINE int __Pyx_CyFunction_Vectorcall_CheckArgs(__pyx_CyFunctionObject *cyfunc, Py_ssize_t nargs, PyObject *kwnames) -{ - int ret = 0; - if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) { - if (unlikely(nargs < 1)) { - PyErr_Format(PyExc_TypeError, "%.200s() needs an argument", - ((PyCFunctionObject*)cyfunc)->m_ml->ml_name); - return -1; - } - ret = 1; - } - if (unlikely(kwnames) && unlikely(PyTuple_GET_SIZE(kwnames))) { - PyErr_Format(PyExc_TypeError, - "%.200s() takes no keyword arguments", ((PyCFunctionObject*)cyfunc)->m_ml->ml_name); - return -1; - } - return ret; -} -static PyObject * __Pyx_CyFunction_Vectorcall_NOARGS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames) -{ - __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *)func; - PyMethodDef* def = ((PyCFunctionObject*)cyfunc)->m_ml; -#if CYTHON_BACKPORT_VECTORCALL - Py_ssize_t nargs = (Py_ssize_t)nargsf; -#else - Py_ssize_t nargs = PyVectorcall_NARGS(nargsf); -#endif - PyObject *self; - switch (__Pyx_CyFunction_Vectorcall_CheckArgs(cyfunc, nargs, kwnames)) { - case 1: - self = args[0]; - args += 1; - nargs -= 1; - break; - case 0: - self = ((PyCFunctionObject*)cyfunc)->m_self; - break; - default: - return NULL; - } - if (unlikely(nargs != 0)) { - PyErr_Format(PyExc_TypeError, - "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", - def->ml_name, nargs); 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-#else -static PyTypeObject __pyx_CyFunctionType_type = { - PyVarObject_HEAD_INIT(0, 0) - __PYX_TYPE_MODULE_PREFIX "cython_function_or_method", - sizeof(__pyx_CyFunctionObject), - 0, - (destructor) __Pyx_CyFunction_dealloc, -#if !CYTHON_METH_FASTCALL - 0, -#elif CYTHON_BACKPORT_VECTORCALL - (printfunc)offsetof(__pyx_CyFunctionObject, func_vectorcall), -#else - offsetof(PyCFunctionObject, vectorcall), -#endif - 0, - 0, -#if PY_MAJOR_VERSION < 3 - 0, -#else - 0, -#endif - (reprfunc) __Pyx_CyFunction_repr, - 0, - 0, - 0, - 0, - __Pyx_CyFunction_CallAsMethod, - 0, - 0, - 0, - 0, -#ifdef Py_TPFLAGS_METHOD_DESCRIPTOR - Py_TPFLAGS_METHOD_DESCRIPTOR | -#endif -#ifdef _Py_TPFLAGS_HAVE_VECTORCALL - _Py_TPFLAGS_HAVE_VECTORCALL | -#endif - Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, - 0, - (traverseproc) __Pyx_CyFunction_traverse, - (inquiry) __Pyx_CyFunction_clear, - 0, -#if PY_VERSION_HEX < 0x030500A0 - offsetof(__pyx_CyFunctionObject, func_weakreflist), -#else - offsetof(PyCFunctionObject, m_weakreflist), -#endif - 0, - 0, - __pyx_CyFunction_methods, - __pyx_CyFunction_members, - __pyx_CyFunction_getsets, - 0, - 0, - __Pyx_PyMethod_New, - 0, - offsetof(__pyx_CyFunctionObject, func_dict), - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, -#if PY_VERSION_HEX >= 0x030400a1 - 0, -#endif -#if PY_VERSION_HEX >= 0x030800b1 && (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800) - 0, -#endif -#if __PYX_NEED_TP_PRINT_SLOT - 0, -#endif -#if PY_VERSION_HEX >= 0x030C0000 - 0, -#endif -#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 - 0, -#endif -}; -#endif -static int __pyx_CyFunction_init(PyObject *module) { -#if CYTHON_USE_TYPE_SPECS - __pyx_CyFunctionType = __Pyx_FetchCommonTypeFromSpec(module, &__pyx_CyFunctionType_spec, NULL); -#else - CYTHON_UNUSED_VAR(module); - __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); -#endif - if (unlikely(__pyx_CyFunctionType == NULL)) { - return -1; - } - return 0; -} -static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults = PyObject_Malloc(size); - if (unlikely(!m->defaults)) - return PyErr_NoMemory(); - memset(m->defaults, 0, size); - m->defaults_pyobjects = pyobjects; - m->defaults_size = size; - return m->defaults; -} -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults_tuple = tuple; - Py_INCREF(tuple); -} -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults_kwdict = dict; - Py_INCREF(dict); -} -static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->func_annotations = dict; - Py_INCREF(dict); -} - -/* CythonFunction */ -static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, int flags, PyObject* qualname, - PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { - PyObject *op = __Pyx_CyFunction_Init( - PyObject_GC_New(__pyx_CyFunctionObject, __pyx_CyFunctionType), - ml, flags, qualname, closure, module, globals, code - ); - if (likely(op)) { - PyObject_GC_Track(op); - } - return op; -} - -/* CLineInTraceback */ -#ifndef CYTHON_CLINE_IN_TRACEBACK -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { - PyObject *use_cline; - PyObject *ptype, *pvalue, *ptraceback; -#if CYTHON_COMPILING_IN_CPYTHON - PyObject **cython_runtime_dict; -#endif - CYTHON_MAYBE_UNUSED_VAR(tstate); - if (unlikely(!__pyx_cython_runtime)) { - return c_line; - } - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); -#if CYTHON_COMPILING_IN_CPYTHON - cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); - if (likely(cython_runtime_dict)) { - __PYX_PY_DICT_LOOKUP_IF_MODIFIED( - use_cline, *cython_runtime_dict, - __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) - } else -#endif - { - PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStrNoError(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback); - if (use_cline_obj) { - use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True; - Py_DECREF(use_cline_obj); - } else { - PyErr_Clear(); - use_cline = NULL; - } - } - if (!use_cline) { - c_line = 0; - (void) PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); - } - else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { - c_line = 0; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - return c_line; -} -#endif - -/* CodeObjectCache */ -#if !CYTHON_COMPILING_IN_LIMITED_API -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { - int start = 0, mid = 0, end = count - 1; - if (end >= 0 && code_line > entries[end].code_line) { - return count; - } - while (start < end) { - mid = start + (end - start) / 2; - if (code_line < entries[mid].code_line) { - end = mid; - } else if (code_line > entries[mid].code_line) { - start = mid + 1; - } else { - return mid; - } - } - if (code_line <= entries[mid].code_line) { - return mid; - } else { - return mid + 1; - } -} -static PyCodeObject *__pyx_find_code_object(int code_line) { - PyCodeObject* code_object; - int pos; - if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { - return NULL; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { - return NULL; - } - code_object = __pyx_code_cache.entries[pos].code_object; - Py_INCREF(code_object); - return code_object; -} -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { - int pos, i; - __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; - if (unlikely(!code_line)) { - return; - } - if (unlikely(!entries)) { - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); - if (likely(entries)) { - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = 64; - __pyx_code_cache.count = 1; - entries[0].code_line = code_line; - entries[0].code_object = code_object; - Py_INCREF(code_object); - } - return; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { - PyCodeObject* tmp = entries[pos].code_object; - entries[pos].code_object = code_object; - Py_DECREF(tmp); - return; - } - if (__pyx_code_cache.count == __pyx_code_cache.max_count) { - int new_max = __pyx_code_cache.max_count + 64; - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( - __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry)); - if (unlikely(!entries)) { - return; - } - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = new_max; - } - for (i=__pyx_code_cache.count; i>pos; i--) { - entries[i] = entries[i-1]; - } - entries[pos].code_line = code_line; - entries[pos].code_object = code_object; - __pyx_code_cache.count++; - Py_INCREF(code_object); -} -#endif - -/* AddTraceback */ -#include "compile.h" -#include "frameobject.h" -#include "traceback.h" -#if PY_VERSION_HEX >= 0x030b00a6 - #ifndef Py_BUILD_CORE - #define Py_BUILD_CORE 1 - #endif - #include "internal/pycore_frame.h" -#endif -#if CYTHON_COMPILING_IN_LIMITED_API -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - if (c_line) { - (void) __pyx_cfilenm; - (void) __Pyx_CLineForTraceback(__Pyx_PyThreadState_Current, c_line); - } - _PyTraceback_Add(funcname, filename, py_line); -} -#else -static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( - const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = NULL; - PyObject *py_funcname = NULL; - #if PY_MAJOR_VERSION < 3 - PyObject *py_srcfile = NULL; - py_srcfile = PyString_FromString(filename); - if (!py_srcfile) goto bad; - #endif - if (c_line) { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - if (!py_funcname) goto bad; - #else - py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - if (!py_funcname) goto bad; - funcname = PyUnicode_AsUTF8(py_funcname); - if (!funcname) goto bad; - #endif - } - else { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromString(funcname); - if (!py_funcname) goto bad; - #endif - } - #if PY_MAJOR_VERSION < 3 - py_code = __Pyx_PyCode_New( - 0, - 0, - 0, - 0, - 0, - 0, - __pyx_empty_bytes, /*PyObject *code,*/ - __pyx_empty_tuple, /*PyObject *consts,*/ - __pyx_empty_tuple, /*PyObject *names,*/ - __pyx_empty_tuple, /*PyObject *varnames,*/ - __pyx_empty_tuple, /*PyObject *freevars,*/ - __pyx_empty_tuple, /*PyObject *cellvars,*/ - py_srcfile, /*PyObject *filename,*/ - py_funcname, /*PyObject *name,*/ - py_line, - __pyx_empty_bytes /*PyObject *lnotab*/ - ); - Py_DECREF(py_srcfile); - #else - py_code = PyCode_NewEmpty(filename, funcname, py_line); - #endif - Py_XDECREF(py_funcname); // XDECREF since it's only set on Py3 if cline - return py_code; -bad: - Py_XDECREF(py_funcname); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_srcfile); - #endif - return NULL; -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyFrameObject *py_frame = 0; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject *ptype, *pvalue, *ptraceback; - if (c_line) { - c_line = __Pyx_CLineForTraceback(tstate, c_line); - } - py_code = __pyx_find_code_object(c_line ? -c_line : py_line); - if (!py_code) { - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); - py_code = __Pyx_CreateCodeObjectForTraceback( - funcname, c_line, py_line, filename); - if (!py_code) { - /* If the code object creation fails, then we should clear the - fetched exception references and propagate the new exception */ - Py_XDECREF(ptype); - Py_XDECREF(pvalue); - Py_XDECREF(ptraceback); - goto bad; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); - } - py_frame = PyFrame_New( - tstate, /*PyThreadState *tstate,*/ - py_code, /*PyCodeObject *code,*/ - __pyx_d, /*PyObject *globals,*/ - 0 /*PyObject *locals*/ - ); - if (!py_frame) goto bad; - __Pyx_PyFrame_SetLineNumber(py_frame, py_line); - PyTraceBack_Here(py_frame); -bad: - Py_XDECREF(py_code); - Py_XDECREF(py_frame); -} -#endif - -#if PY_MAJOR_VERSION < 3 -static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { - __Pyx_TypeName obj_type_name; - if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "'" __Pyx_FMT_TYPENAME "' does not have the buffer interface", - obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return -1; -} -static void __Pyx_ReleaseBuffer(Py_buffer *view) { - PyObject *obj = view->obj; - if (!obj) return; - if (PyObject_CheckBuffer(obj)) { - PyBuffer_Release(view); - return; - } - if ((0)) {} - view->obj = NULL; - Py_DECREF(obj); -} -#endif - - -/* MemviewSliceIsContig */ -static int -__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) -{ - int i, index, step, start; - Py_ssize_t itemsize = mvs.memview->view.itemsize; - if (order == 'F') { - step = 1; - start = 0; - } else { - step = -1; - start = ndim - 1; - } - for (i = 0; i < ndim; i++) { - index = start + step * i; - if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) - return 0; - itemsize *= mvs.shape[index]; - } - return 1; -} - -/* OverlappingSlices */ -static void -__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, - void **out_start, void **out_end, - int ndim, size_t itemsize) -{ - char *start, *end; - int i; - start = end = slice->data; - for (i = 0; i < ndim; i++) { - Py_ssize_t stride = slice->strides[i]; - Py_ssize_t extent = slice->shape[i]; - if (extent == 0) { - *out_start = *out_end = start; - return; - } else { - if (stride > 0) - end += stride * (extent - 1); - else - start += stride * (extent - 1); - } - } - *out_start = start; - *out_end = end + itemsize; -} -static int -__pyx_slices_overlap(__Pyx_memviewslice *slice1, - __Pyx_memviewslice *slice2, - int ndim, size_t itemsize) -{ - void *start1, *end1, *start2, *end2; - __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); - __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); - return (start1 < end2) && (start2 < end1); -} - -/* IsLittleEndian */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) -{ - union { - uint32_t u32; - uint8_t u8[4]; - } S; - S.u32 = 0x01020304; - return S.u8[0] == 4; -} - -/* BufferFormatCheck */ -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - __Pyx_TypeInfo* type) { - stack[0].field = &ctx->root; - stack[0].parent_offset = 0; - ctx->root.type = type; - ctx->root.name = "buffer dtype"; - ctx->root.offset = 0; - ctx->head = stack; - ctx->head->field = &ctx->root; - ctx->fmt_offset = 0; - ctx->head->parent_offset = 0; - ctx->new_packmode = '@'; - ctx->enc_packmode = '@'; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->is_complex = 0; - ctx->is_valid_array = 0; - ctx->struct_alignment = 0; - while (type->typegroup == 'S') { - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = 0; - type = type->fields->type; - } -} -static int __Pyx_BufFmt_ParseNumber(const char** ts) { - int count; - const char* t = *ts; - if (*t < '0' || *t > '9') { - return -1; - } else { - count = *t++ - '0'; - while (*t >= '0' && *t <= '9') { - count *= 10; - count += *t++ - '0'; - } - } - *ts = t; - return count; -} -static int __Pyx_BufFmt_ExpectNumber(const char **ts) { - int number = __Pyx_BufFmt_ParseNumber(ts); - if (number == -1) - PyErr_Format(PyExc_ValueError,\ - "Does not understand character buffer dtype format string ('%c')", **ts); - return number; -} -static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { - PyErr_Format(PyExc_ValueError, - "Unexpected format string character: '%c'", ch); -} -static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { - switch (ch) { - case '?': return "'bool'"; - case 'c': return "'char'"; - case 'b': return "'signed char'"; - case 'B': return "'unsigned char'"; - case 'h': return "'short'"; - case 'H': return "'unsigned short'"; - case 'i': return "'int'"; - case 'I': return "'unsigned int'"; - case 'l': return "'long'"; - case 'L': return "'unsigned long'"; - case 'q': return "'long long'"; - case 'Q': return "'unsigned long long'"; - case 'f': return (is_complex ? "'complex float'" : "'float'"); - case 'd': return (is_complex ? "'complex double'" : "'double'"); - case 'g': return (is_complex ? "'complex long double'" : "'long double'"); - case 'T': return "a struct"; - case 'O': return "Python object"; - case 'P': return "a pointer"; - case 's': case 'p': return "a string"; - case 0: return "end"; - default: return "unparsable format string"; - } -} -static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return 2; - case 'i': case 'I': case 'l': case 'L': return 4; - case 'q': case 'Q': return 8; - case 'f': return (is_complex ? 8 : 4); - case 'd': return (is_complex ? 16 : 8); - case 'g': { - PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); - return 0; - } - case 'O': case 'P': return sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(short); - case 'i': case 'I': return sizeof(int); - case 'l': case 'L': return sizeof(long); - #ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(PY_LONG_LONG); - #endif - case 'f': return sizeof(float) * (is_complex ? 2 : 1); - case 'd': return sizeof(double) * (is_complex ? 2 : 1); - case 'g': return sizeof(long double) * (is_complex ? 2 : 1); - case 'O': case 'P': return sizeof(void*); - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -typedef struct { char c; short x; } __Pyx_st_short; -typedef struct { char c; int x; } __Pyx_st_int; -typedef struct { char c; long x; } __Pyx_st_long; -typedef struct { char c; float x; } __Pyx_st_float; -typedef struct { char c; double x; } __Pyx_st_double; -typedef struct { char c; long double x; } __Pyx_st_longdouble; -typedef struct { char c; void *x; } __Pyx_st_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_st_float) - sizeof(float); - case 'd': return sizeof(__Pyx_st_double) - sizeof(double); - case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -/* These are for computing the padding at the end of the struct to align - on the first member of the struct. This will probably the same as above, - but we don't have any guarantees. - */ -typedef struct { short x; char c; } __Pyx_pad_short; -typedef struct { int x; char c; } __Pyx_pad_int; -typedef struct { long x; char c; } __Pyx_pad_long; -typedef struct { float x; char c; } __Pyx_pad_float; -typedef struct { double x; char c; } __Pyx_pad_double; -typedef struct { long double x; char c; } __Pyx_pad_longdouble; -typedef struct { void *x; char c; } __Pyx_pad_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); - case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); - case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { - switch (ch) { - case 'c': - return 'H'; - case 'b': case 'h': case 'i': - case 'l': case 'q': case 's': case 'p': - return 'I'; - case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': - return 'U'; - case 'f': case 'd': case 'g': - return (is_complex ? 'C' : 'R'); - case 'O': - return 'O'; - case 'P': - return 'P'; - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { - if (ctx->head == NULL || ctx->head->field == &ctx->root) { - const char* expected; - const char* quote; - if (ctx->head == NULL) { - expected = "end"; - quote = ""; - } else { - expected = ctx->head->field->type->name; - quote = "'"; - } - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected %s%s%s but got %s", - quote, expected, quote, - __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); - } else { - __Pyx_StructField* field = ctx->head->field; - __Pyx_StructField* parent = (ctx->head - 1)->field; - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", - field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), - parent->type->name, field->name); - } -} -static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { - char group; - size_t size, offset, arraysize = 1; - if (ctx->enc_type == 0) return 0; - if (ctx->head->field->type->arraysize[0]) { - int i, ndim = 0; - if (ctx->enc_type == 's' || ctx->enc_type == 'p') { - ctx->is_valid_array = ctx->head->field->type->ndim == 1; - ndim = 1; - if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %zu", - ctx->head->field->type->arraysize[0], ctx->enc_count); - return -1; - } - } - if (!ctx->is_valid_array) { - PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", - ctx->head->field->type->ndim, ndim); - return -1; - } - for (i = 0; i < ctx->head->field->type->ndim; i++) { - arraysize *= ctx->head->field->type->arraysize[i]; - } - ctx->is_valid_array = 0; - ctx->enc_count = 1; - } - group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); - do { - __Pyx_StructField* field = ctx->head->field; - __Pyx_TypeInfo* type = field->type; - if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { - size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); - } else { - size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); - } - if (ctx->enc_packmode == '@') { - size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); - size_t align_mod_offset; - if (align_at == 0) return -1; - align_mod_offset = ctx->fmt_offset % align_at; - if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; - if (ctx->struct_alignment == 0) - ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, - ctx->is_complex); - } - if (type->size != size || type->typegroup != group) { - if (type->typegroup == 'C' && type->fields != NULL) { - size_t parent_offset = ctx->head->parent_offset + field->offset; - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = parent_offset; - continue; - } - if ((type->typegroup == 'H' || group == 'H') && type->size == size) { - } else { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - } - offset = ctx->head->parent_offset + field->offset; - if (ctx->fmt_offset != offset) { - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", - (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); - return -1; - } - ctx->fmt_offset += size; - if (arraysize) - ctx->fmt_offset += (arraysize - 1) * size; - --ctx->enc_count; - while (1) { - if (field == &ctx->root) { - ctx->head = NULL; - if (ctx->enc_count != 0) { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - break; - } - ctx->head->field = ++field; - if (field->type == NULL) { - --ctx->head; - field = ctx->head->field; - continue; - } else if (field->type->typegroup == 'S') { - size_t parent_offset = ctx->head->parent_offset + field->offset; - if (field->type->fields->type == NULL) continue; - field = field->type->fields; - ++ctx->head; - ctx->head->field = field; - ctx->head->parent_offset = parent_offset; - break; - } else { - break; - } - } - } while (ctx->enc_count); - ctx->enc_type = 0; - ctx->is_complex = 0; - return 0; -} -static PyObject * -__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) -{ - const char *ts = *tsp; - int i = 0, number, ndim; - ++ts; - if (ctx->new_count != 1) { - PyErr_SetString(PyExc_ValueError, - "Cannot handle repeated arrays in format string"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ndim = ctx->head->field->type->ndim; - while (*ts && *ts != ')') { - switch (*ts) { - case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; - default: break; - } - number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) - return PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %d", - ctx->head->field->type->arraysize[i], number); - if (*ts != ',' && *ts != ')') - return PyErr_Format(PyExc_ValueError, - "Expected a comma in format string, got '%c'", *ts); - if (*ts == ',') ts++; - i++; - } - if (i != ndim) - return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", - ctx->head->field->type->ndim, i); - if (!*ts) { - PyErr_SetString(PyExc_ValueError, - "Unexpected end of format string, expected ')'"); - return NULL; - } - ctx->is_valid_array = 1; - ctx->new_count = 1; - *tsp = ++ts; - return Py_None; -} -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { - int got_Z = 0; - while (1) { - switch(*ts) { - case 0: - if (ctx->enc_type != 0 && ctx->head == NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - if (ctx->head != NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - return ts; - case ' ': - case '\r': - case '\n': - ++ts; - break; - case '<': - if (!__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '>': - case '!': - if (__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '=': - case '@': - case '^': - ctx->new_packmode = *ts++; - break; - case 'T': - { - const char* ts_after_sub; - size_t i, struct_count = ctx->new_count; - size_t struct_alignment = ctx->struct_alignment; - ctx->new_count = 1; - ++ts; - if (*ts != '{') { - PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - ctx->enc_count = 0; - ctx->struct_alignment = 0; - ++ts; - ts_after_sub = ts; - for (i = 0; i != struct_count; ++i) { - ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); - if (!ts_after_sub) return NULL; - } - ts = ts_after_sub; - if (struct_alignment) ctx->struct_alignment = struct_alignment; - } - break; - case '}': - { - size_t alignment = ctx->struct_alignment; - ++ts; - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - if (alignment && ctx->fmt_offset % alignment) { - ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); - } - } - return ts; - case 'x': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->fmt_offset += ctx->new_count; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->enc_packmode = ctx->new_packmode; - ++ts; - break; - case 'Z': - got_Z = 1; - ++ts; - if (*ts != 'f' && *ts != 'd' && *ts != 'g') { - __Pyx_BufFmt_RaiseUnexpectedChar('Z'); - return NULL; - } - CYTHON_FALLTHROUGH; - case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': - case 'l': case 'L': case 'q': case 'Q': - case 'f': case 'd': case 'g': - case 'O': case 'p': - if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) && - (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) { - ctx->enc_count += ctx->new_count; - ctx->new_count = 1; - got_Z = 0; - ++ts; - break; - } - CYTHON_FALLTHROUGH; - case 's': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_count = ctx->new_count; - ctx->enc_packmode = ctx->new_packmode; - ctx->enc_type = *ts; - ctx->is_complex = got_Z; - ++ts; - ctx->new_count = 1; - got_Z = 0; - break; - case ':': - ++ts; - while(*ts != ':') ++ts; - ++ts; - break; - case '(': - if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; - break; - default: - { - int number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - ctx->new_count = (size_t)number; - } - } - } -} - -/* TypeInfoCompare */ - static int -__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) -{ - int i; - if (!a || !b) - return 0; - if (a == b) - return 1; - if (a->size != b->size || a->typegroup != b->typegroup || - a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { - if (a->typegroup == 'H' || b->typegroup == 'H') { - return a->size == b->size; - } else { - return 0; - } - } - if (a->ndim) { - for (i = 0; i < a->ndim; i++) - if (a->arraysize[i] != b->arraysize[i]) - return 0; - } - if (a->typegroup == 'S') { - if (a->flags != b->flags) - return 0; - if (a->fields || b->fields) { - if (!(a->fields && b->fields)) - return 0; - for (i = 0; a->fields[i].type && b->fields[i].type; i++) { - __Pyx_StructField *field_a = a->fields + i; - __Pyx_StructField *field_b = b->fields + i; - if (field_a->offset != field_b->offset || - !__pyx_typeinfo_cmp(field_a->type, field_b->type)) - return 0; - } - return !a->fields[i].type && !b->fields[i].type; - } - } - return 1; -} - -/* MemviewSliceValidateAndInit */ - static int -__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) -{ - if (buf->shape[dim] <= 1) - return 1; - if (buf->strides) { - if (spec & __Pyx_MEMVIEW_CONTIG) { - if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { - if (unlikely(buf->strides[dim] != sizeof(void *))) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly contiguous " - "in dimension %d.", dim); - goto fail; - } - } else if (unlikely(buf->strides[dim] != buf->itemsize)) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_FOLLOW) { - Py_ssize_t stride = buf->strides[dim]; - if (stride < 0) - stride = -stride; - if (unlikely(stride < buf->itemsize)) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - } else { - if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not contiguous in " - "dimension %d", dim); - goto fail; - } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not indirect in " - "dimension %d", dim); - goto fail; - } else if (unlikely(buf->suboffsets)) { - PyErr_SetString(PyExc_ValueError, - "Buffer exposes suboffsets but no strides"); - goto fail; - } - } - return 1; -fail: - return 0; -} -static int -__pyx_check_suboffsets(Py_buffer *buf, int dim, int ndim, int spec) -{ - CYTHON_UNUSED_VAR(ndim); - if (spec & __Pyx_MEMVIEW_DIRECT) { - if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) { - PyErr_Format(PyExc_ValueError, - "Buffer not compatible with direct access " - "in dimension %d.", dim); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_PTR) { - if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly accessible " - "in dimension %d.", dim); - goto fail; - } - } - return 1; -fail: - return 0; -} -static int -__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) -{ - int i; - if (c_or_f_flag & __Pyx_IS_F_CONTIG) { - Py_ssize_t stride = 1; - for (i = 0; i < ndim; i++) { - if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { - PyErr_SetString(PyExc_ValueError, - "Buffer not fortran contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { - Py_ssize_t stride = 1; - for (i = ndim - 1; i >- 1; i--) { - if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { - PyErr_SetString(PyExc_ValueError, - "Buffer not C contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } - return 1; -fail: - return 0; -} -static int __Pyx_ValidateAndInit_memviewslice( - int *axes_specs, - int c_or_f_flag, - int buf_flags, - int ndim, - __Pyx_TypeInfo *dtype, - __Pyx_BufFmt_StackElem stack[], - __Pyx_memviewslice *memviewslice, - PyObject *original_obj) -{ - struct __pyx_memoryview_obj *memview, *new_memview; - __Pyx_RefNannyDeclarations - Py_buffer *buf; - int i, spec = 0, retval = -1; - __Pyx_BufFmt_Context ctx; - int from_memoryview = __pyx_memoryview_check(original_obj); - __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); - if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) - original_obj)->typeinfo)) { - memview = (struct __pyx_memoryview_obj *) original_obj; - new_memview = NULL; - } else { - memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - original_obj, buf_flags, 0, dtype); - new_memview = memview; - if (unlikely(!memview)) - goto fail; - } - buf = &memview->view; - if (unlikely(buf->ndim != ndim)) { - PyErr_Format(PyExc_ValueError, - "Buffer has wrong number of dimensions (expected %d, got %d)", - ndim, buf->ndim); - goto fail; - } - if (new_memview) { - __Pyx_BufFmt_Init(&ctx, stack, dtype); - if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail; - } - if (unlikely((unsigned) buf->itemsize != dtype->size)) { - PyErr_Format(PyExc_ValueError, - "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " - "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", - buf->itemsize, - (buf->itemsize > 1) ? "s" : "", - dtype->name, - dtype->size, - (dtype->size > 1) ? "s" : ""); - goto fail; - } - if (buf->len > 0) { - for (i = 0; i < ndim; i++) { - spec = axes_specs[i]; - if (unlikely(!__pyx_check_strides(buf, i, ndim, spec))) - goto fail; - if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec))) - goto fail; - } - if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))) - goto fail; - } - if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, - new_memview != NULL) == -1)) { - goto fail; - } - retval = 0; - goto no_fail; -fail: - Py_XDECREF(new_memview); - retval = -1; -no_fail: - __Pyx_RefNannyFinishContext(); - return retval; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, - &__Pyx_TypeInfo_int, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3, - &__Pyx_TypeInfo_float, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1, - &__Pyx_TypeInfo_int, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) -#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) -#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ - {\ - func_type value = func_value;\ - if (sizeof(target_type) < sizeof(func_type)) {\ - if (unlikely(value != (func_type) (target_type) value)) {\ - func_type zero = 0;\ - if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ - return (target_type) -1;\ - if (is_unsigned && unlikely(value < zero))\ - goto raise_neg_overflow;\ - else\ - goto raise_overflow;\ - }\ - }\ - return (target_type) value;\ - } - -/* MemviewSliceCopyTemplate */ - static __Pyx_memviewslice -__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object) -{ - __Pyx_RefNannyDeclarations - int i; - __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; - struct __pyx_memoryview_obj *from_memview = from_mvs->memview; - Py_buffer *buf = &from_memview->view; - PyObject *shape_tuple = NULL; - PyObject *temp_int = NULL; - struct __pyx_array_obj *array_obj = NULL; - struct __pyx_memoryview_obj *memview_obj = NULL; - __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); - for (i = 0; i < ndim; i++) { - if (unlikely(from_mvs->suboffsets[i] >= 0)) { - PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " - "indirect dimensions (axis %d)", i); - goto fail; - } - } - shape_tuple = PyTuple_New(ndim); - if (unlikely(!shape_tuple)) { - goto fail; - } - __Pyx_GOTREF(shape_tuple); - for(i = 0; i < ndim; i++) { - temp_int = PyInt_FromSsize_t(from_mvs->shape[i]); - if(unlikely(!temp_int)) { - goto fail; - } else { - PyTuple_SET_ITEM(shape_tuple, i, temp_int); - temp_int = NULL; - } - } - array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); - if (unlikely(!array_obj)) { - goto fail; - } - __Pyx_GOTREF(array_obj); - memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - (PyObject *) array_obj, contig_flag, - dtype_is_object, - from_mvs->memview->typeinfo); - if (unlikely(!memview_obj)) - goto fail; - if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) - goto fail; - if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, - dtype_is_object) < 0)) - goto fail; - goto no_fail; -fail: - __Pyx_XDECREF(new_mvs.memview); - new_mvs.memview = NULL; - new_mvs.data = NULL; -no_fail: - __Pyx_XDECREF(shape_tuple); - __Pyx_XDECREF(temp_int); - __Pyx_XDECREF(array_obj); - __Pyx_RefNannyFinishContext(); - return new_mvs; -} - -/* MemviewSliceInit */ - static int -__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, - int ndim, - __Pyx_memviewslice *memviewslice, - int memview_is_new_reference) -{ - __Pyx_RefNannyDeclarations - int i, retval=-1; - Py_buffer *buf = &memview->view; - __Pyx_RefNannySetupContext("init_memviewslice", 0); - if (unlikely(memviewslice->memview || memviewslice->data)) { - PyErr_SetString(PyExc_ValueError, - "memviewslice is already initialized!"); - goto fail; - } - if (buf->strides) { - for (i = 0; i < ndim; i++) { - memviewslice->strides[i] = buf->strides[i]; - } - } else { - Py_ssize_t stride = buf->itemsize; - for (i = ndim - 1; i >= 0; i--) { - memviewslice->strides[i] = stride; - stride *= buf->shape[i]; - } - } - for (i = 0; i < ndim; i++) { - memviewslice->shape[i] = buf->shape[i]; - if (buf->suboffsets) { - memviewslice->suboffsets[i] = buf->suboffsets[i]; - } else { - memviewslice->suboffsets[i] = -1; - } - } - memviewslice->memview = memview; - memviewslice->data = (char *)buf->buf; - if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { - Py_INCREF(memview); - } - retval = 0; - goto no_fail; -fail: - memviewslice->memview = 0; - memviewslice->data = 0; - retval = -1; -no_fail: - __Pyx_RefNannyFinishContext(); - return retval; -} -#ifndef Py_NO_RETURN -#define Py_NO_RETURN -#endif -static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN { - va_list vargs; - char msg[200]; -#if PY_VERSION_HEX >= 0x030A0000 || defined(HAVE_STDARG_PROTOTYPES) - va_start(vargs, fmt); -#else - va_start(vargs); -#endif - vsnprintf(msg, 200, fmt, vargs); - va_end(vargs); - Py_FatalError(msg); -} -static CYTHON_INLINE int -__pyx_add_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, - PyThread_type_lock lock) -{ - int result; - PyThread_acquire_lock(lock, 1); - result = (*acquisition_count)++; - PyThread_release_lock(lock); - return result; -} -static CYTHON_INLINE int -__pyx_sub_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, - PyThread_type_lock lock) -{ - int result; - PyThread_acquire_lock(lock, 1); - result = (*acquisition_count)--; - PyThread_release_lock(lock); - return result; -} -static CYTHON_INLINE void -__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) -{ - __pyx_nonatomic_int_type old_acquisition_count; - struct __pyx_memoryview_obj *memview = memslice->memview; - if (unlikely(!memview || (PyObject *) memview == Py_None)) { - return; - } - old_acquisition_count = __pyx_add_acquisition_count(memview); - if (unlikely(old_acquisition_count <= 0)) { - if (likely(old_acquisition_count == 0)) { - if (have_gil) { - Py_INCREF((PyObject *) memview); - } else { - PyGILState_STATE _gilstate = PyGILState_Ensure(); - Py_INCREF((PyObject *) memview); - PyGILState_Release(_gilstate); - } - } else { - __pyx_fatalerror("Acquisition count is %d (line %d)", - old_acquisition_count+1, lineno); - } - } -} -static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *memslice, - int have_gil, int lineno) { - __pyx_nonatomic_int_type old_acquisition_count; - struct __pyx_memoryview_obj *memview = memslice->memview; - if (unlikely(!memview || (PyObject *) memview == Py_None)) { - memslice->memview = NULL; - return; - } - old_acquisition_count = __pyx_sub_acquisition_count(memview); - memslice->data = NULL; - if (likely(old_acquisition_count > 1)) { - memslice->memview = NULL; - } else if (likely(old_acquisition_count == 1)) { - if (have_gil) { - Py_CLEAR(memslice->memview); - } else { - PyGILState_STATE _gilstate = PyGILState_Ensure(); - Py_CLEAR(memslice->memview); - PyGILState_Release(_gilstate); - } - } else { - __pyx_fatalerror("Acquisition count is %d (line %d)", - old_acquisition_count-1, lineno); - } -} - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(int) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(int) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(int) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(int), - little, !is_unsigned); - } -} - -/* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(int) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (int) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 2 * PyLong_SHIFT)) { - return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 3 * PyLong_SHIFT)) { - return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 4 * PyLong_SHIFT)) { - return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(int) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(int) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(int) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(int) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(int) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - int val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (int) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (int) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (int) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (int) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(int) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((int) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(int) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((int) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((int) 1) << (sizeof(int) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (int) -1; - } - } else { - int val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (int) -1; - val = __Pyx_PyInt_As_int(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to int"); - return (int) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to int"); - return (int) -1; -} - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const long neg_one = (long) -1, const_zero = (long) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(long) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(long), - little, !is_unsigned); - } -} - -/* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const long neg_one = (long) -1, const_zero = (long) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(long) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (long) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 2 * PyLong_SHIFT)) { - return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 3 * PyLong_SHIFT)) { - return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 4 * PyLong_SHIFT)) { - return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(long) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(long) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(long) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(long) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(long) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - long val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (long) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (long) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (long) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (long) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(long) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((long) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(long) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((long) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((long) 1) << (sizeof(long) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (long) -1; - } - } else { - long val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (long) -1; - val = __Pyx_PyInt_As_long(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to long"); - return (long) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to long"); - return (long) -1; -} - -/* CIntFromPy */ - static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const char neg_one = (char) -1, const_zero = (char) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(char) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (char) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 2 * PyLong_SHIFT)) { - return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 3 * PyLong_SHIFT)) { - return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 4 * PyLong_SHIFT)) { - return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (char) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(char) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(char) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(char) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { - return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(char) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(char) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - char val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (char) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (char) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (char) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (char) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (char) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(char) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((char) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(char) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((char) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((char) 1) << (sizeof(char) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (char) -1; - } - } else { - char val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (char) -1; - val = __Pyx_PyInt_As_char(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to char"); - return (char) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to char"); - return (char) -1; -} - -/* FormatTypeName */ - #if CYTHON_COMPILING_IN_LIMITED_API -static __Pyx_TypeName -__Pyx_PyType_GetName(PyTypeObject* tp) -{ - PyObject *name = __Pyx_PyObject_GetAttrStr((PyObject *)tp, - __pyx_n_s_name_2); - if (unlikely(name == NULL) || unlikely(!PyUnicode_Check(name))) { - PyErr_Clear(); - Py_XSETREF(name, __Pyx_NewRef(__pyx_n_s__23)); - } - return name; -} -#endif - -/* CheckBinaryVersion */ - static int __Pyx_check_binary_version(void) { - char ctversion[5]; - int same=1, i, found_dot; - const char* rt_from_call = Py_GetVersion(); - PyOS_snprintf(ctversion, 5, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); - found_dot = 0; - for (i = 0; i < 4; i++) { - if (!ctversion[i]) { - same = (rt_from_call[i] < '0' || rt_from_call[i] > '9'); - break; - } - if (rt_from_call[i] != ctversion[i]) { - same = 0; - break; - } - } - if (!same) { - char rtversion[5] = {'\0'}; - char message[200]; - for (i=0; i<4; ++i) { - if (rt_from_call[i] == '.') { - if (found_dot) break; - found_dot = 1; - } else if (rt_from_call[i] < '0' || rt_from_call[i] > '9') { - break; - } - rtversion[i] = rt_from_call[i]; - } - PyOS_snprintf(message, sizeof(message), - "compile time version %s of module '%.100s' " - "does not match runtime version %s", - ctversion, __Pyx_MODULE_NAME, rtversion); - return PyErr_WarnEx(NULL, message, 1); - } - return 0; -} - -/* InitStrings */ - #if PY_MAJOR_VERSION >= 3 -static int __Pyx_InitString(__Pyx_StringTabEntry t, PyObject **str) { - if (t.is_unicode | t.is_str) { - if (t.intern) { - *str = PyUnicode_InternFromString(t.s); - } else if (t.encoding) { - *str = PyUnicode_Decode(t.s, t.n - 1, t.encoding, NULL); - } else { - *str = PyUnicode_FromStringAndSize(t.s, t.n - 1); - } - } else { - *str = PyBytes_FromStringAndSize(t.s, t.n - 1); - } - if (!*str) - return -1; - if (PyObject_Hash(*str) == -1) - return -1; - return 0; -} -#endif -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { - while (t->p) { - #if PY_MAJOR_VERSION >= 3 - __Pyx_InitString(*t, t->p); - #else - if (t->is_unicode) { - *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); - } else if (t->intern) { - *t->p = PyString_InternFromString(t->s); - } else { - *t->p = PyString_FromStringAndSize(t->s, t->n - 1); - } - if (!*t->p) - return -1; - if (PyObject_Hash(*t->p) == -1) - return -1; - #endif - ++t; - } - return 0; -} - -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { - return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); -} -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { - Py_ssize_t ignore; - return __Pyx_PyObject_AsStringAndSize(o, &ignore); -} -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -#if !CYTHON_PEP393_ENABLED -static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - char* defenc_c; - PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); - if (!defenc) return NULL; - defenc_c = PyBytes_AS_STRING(defenc); -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - { - char* end = defenc_c + PyBytes_GET_SIZE(defenc); - char* c; - for (c = defenc_c; c < end; c++) { - if ((unsigned char) (*c) >= 128) { - PyUnicode_AsASCIIString(o); - return NULL; - } - } - } -#endif - *length = PyBytes_GET_SIZE(defenc); - return defenc_c; -} -#else -static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - if (likely(PyUnicode_IS_ASCII(o))) { - *length = PyUnicode_GET_LENGTH(o); - return PyUnicode_AsUTF8(o); - } else { - PyUnicode_AsASCIIString(o); - return NULL; - } -#else - return PyUnicode_AsUTF8AndSize(o, length); -#endif -} -#endif -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT - if ( -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - __Pyx_sys_getdefaultencoding_not_ascii && -#endif - PyUnicode_Check(o)) { - return __Pyx_PyUnicode_AsStringAndSize(o, length); - } else -#endif -#if (!CYTHON_COMPILING_IN_PYPY && !CYTHON_COMPILING_IN_LIMITED_API) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) - if (PyByteArray_Check(o)) { - *length = PyByteArray_GET_SIZE(o); - return PyByteArray_AS_STRING(o); - } else -#endif - { - char* result; - int r = PyBytes_AsStringAndSize(o, &result, length); - if (unlikely(r < 0)) { - return NULL; - } else { - return result; - } - } -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { - int is_true = x == Py_True; - if (is_true | (x == Py_False) | (x == Py_None)) return is_true; - else return PyObject_IsTrue(x); -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { - int retval; - if (unlikely(!x)) return -1; - retval = __Pyx_PyObject_IsTrue(x); - Py_DECREF(x); - return retval; -} -static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { - __Pyx_TypeName result_type_name = __Pyx_PyType_GetName(Py_TYPE(result)); -#if PY_MAJOR_VERSION >= 3 - if (PyLong_Check(result)) { - if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, - "__int__ returned non-int (type " __Pyx_FMT_TYPENAME "). " - "The ability to return an instance of a strict subclass of int is deprecated, " - "and may be removed in a future version of Python.", - result_type_name)) { - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; - } - __Pyx_DECREF_TypeName(result_type_name); - return result; - } -#endif - PyErr_Format(PyExc_TypeError, - "__%.4s__ returned non-%.4s (type " __Pyx_FMT_TYPENAME ")", - type_name, type_name, result_type_name); - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { -#if CYTHON_USE_TYPE_SLOTS - PyNumberMethods *m; -#endif - const char *name = NULL; - PyObject *res = NULL; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x) || PyLong_Check(x))) -#else - if (likely(PyLong_Check(x))) -#endif - return __Pyx_NewRef(x); -#if CYTHON_USE_TYPE_SLOTS - m = Py_TYPE(x)->tp_as_number; - #if PY_MAJOR_VERSION < 3 - if (m && m->nb_int) { - name = "int"; - res = m->nb_int(x); - } - else if (m && m->nb_long) { - name = "long"; - res = m->nb_long(x); - } - #else - if (likely(m && m->nb_int)) { - name = "int"; - res = m->nb_int(x); - } - #endif -#else - if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { - res = PyNumber_Int(x); - } -#endif - if (likely(res)) { -#if PY_MAJOR_VERSION < 3 - if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { -#else - if (unlikely(!PyLong_CheckExact(res))) { -#endif - return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); - } - } - else if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_TypeError, - "an integer is required"); - } - return res; -} -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { - Py_ssize_t ival; - PyObject *x; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_CheckExact(b))) { - if (sizeof(Py_ssize_t) >= sizeof(long)) - return PyInt_AS_LONG(b); - else - return PyInt_AsSsize_t(b); - } -#endif - if (likely(PyLong_CheckExact(b))) { - #if CYTHON_USE_PYLONG_INTERNALS - if (likely(__Pyx_PyLong_IsCompact(b))) { - return __Pyx_PyLong_CompactValue(b); - } else { - const digit* digits = __Pyx_PyLong_Digits(b); - const Py_ssize_t size = __Pyx_PyLong_SignedDigitCount(b); - switch (size) { - case 2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - } - } - #endif - return PyLong_AsSsize_t(b); - } - x = PyNumber_Index(b); - if (!x) return -1; - ival = PyInt_AsSsize_t(x); - Py_DECREF(x); - return ival; -} -static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject* o) { - if (sizeof(Py_hash_t) == sizeof(Py_ssize_t)) { - return (Py_hash_t) __Pyx_PyIndex_AsSsize_t(o); -#if PY_MAJOR_VERSION < 3 - } else if (likely(PyInt_CheckExact(o))) { - return PyInt_AS_LONG(o); -#endif - } else { - Py_ssize_t ival; - PyObject *x; - x = PyNumber_Index(o); - if (!x) return -1; - ival = PyInt_AsLong(x); - Py_DECREF(x); - return ival; - } -} -static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { - return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False); -} -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { - return PyInt_FromSize_t(ival); -} - - -/* #### Code section: utility_code_pragmas_end ### */ -#ifdef _MSC_VER -#pragma warning( pop ) -#endif - - - -/* #### Code section: end ### */ -#endif /* Py_PYTHON_H */ diff --git a/spaces/digitalxingtong/Kino-Bert-VITS2/mel_processing.py b/spaces/digitalxingtong/Kino-Bert-VITS2/mel_processing.py deleted file mode 100644 index 50435ecf88ef4fb6c1d47f3e6edd04c3ea7d3e80..0000000000000000000000000000000000000000 --- a/spaces/digitalxingtong/Kino-Bert-VITS2/mel_processing.py +++ /dev/null @@ -1,112 +0,0 @@ -import math -import os -import random -import torch -from torch import nn -import torch.nn.functional as F -import torch.utils.data -import numpy as np -import librosa -import librosa.util as librosa_util -from librosa.util import normalize, pad_center, tiny -from scipy.signal import get_window -from scipy.io.wavfile import read -from librosa.filters import mel as librosa_mel_fn - -MAX_WAV_VALUE = 32768.0 - - -def dynamic_range_compression_torch(x, C=1, clip_val=1e-5): - """ - PARAMS - ------ - C: compression factor - """ - return torch.log(torch.clamp(x, min=clip_val) * C) - - -def dynamic_range_decompression_torch(x, C=1): - """ - PARAMS - ------ - C: compression factor used to compress - """ - return torch.exp(x) / C - - -def spectral_normalize_torch(magnitudes): - output = dynamic_range_compression_torch(magnitudes) - return output - - -def spectral_de_normalize_torch(magnitudes): - output = dynamic_range_decompression_torch(magnitudes) - return output - - -mel_basis = {} -hann_window = {} - - -def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False): - if torch.min(y) < -1.: - print('min value is ', torch.min(y)) - if torch.max(y) > 1.: - print('max value is ', torch.max(y)) - - global hann_window - dtype_device = str(y.dtype) + '_' + str(y.device) - wnsize_dtype_device = str(win_size) + '_' + dtype_device - if wnsize_dtype_device not in hann_window: - hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to(dtype=y.dtype, device=y.device) - - y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect') - y = y.squeeze(1) - - spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[wnsize_dtype_device], - center=center, pad_mode='reflect', normalized=False, onesided=True, return_complex=False) - - spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) - return spec - - -def spec_to_mel_torch(spec, n_fft, num_mels, sampling_rate, fmin, fmax): - global mel_basis - dtype_device = str(spec.dtype) + '_' + str(spec.device) - fmax_dtype_device = str(fmax) + '_' + dtype_device - if fmax_dtype_device not in mel_basis: - mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) - mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=spec.dtype, device=spec.device) - spec = torch.matmul(mel_basis[fmax_dtype_device], spec) - spec = spectral_normalize_torch(spec) - return spec - - -def mel_spectrogram_torch(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False): - if torch.min(y) < -1.: - print('min value is ', torch.min(y)) - if torch.max(y) > 1.: - print('max value is ', torch.max(y)) - - global mel_basis, hann_window - dtype_device = str(y.dtype) + '_' + str(y.device) - fmax_dtype_device = str(fmax) + '_' + dtype_device - wnsize_dtype_device = str(win_size) + '_' + dtype_device - if fmax_dtype_device not in mel_basis: - mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) - mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=y.dtype, device=y.device) - if wnsize_dtype_device not in hann_window: - hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to(dtype=y.dtype, device=y.device) - - y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect') - y = y.squeeze(1) - - spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[wnsize_dtype_device], - center=center, pad_mode='reflect', normalized=False, onesided=True, return_complex=False) - - spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6) - - spec = torch.matmul(mel_basis[fmax_dtype_device], spec) - spec = spectral_normalize_torch(spec) - - return spec diff --git a/spaces/dineshreddy/WALT/mmdet/models/dense_heads/cascade_rpn_head.py b/spaces/dineshreddy/WALT/mmdet/models/dense_heads/cascade_rpn_head.py deleted file mode 100644 index e32ee461951e685fb44a461033293159e3439717..0000000000000000000000000000000000000000 --- a/spaces/dineshreddy/WALT/mmdet/models/dense_heads/cascade_rpn_head.py +++ /dev/null @@ -1,784 +0,0 @@ -from __future__ import division -import copy -import warnings - -import torch -import torch.nn as nn -from mmcv import ConfigDict -from mmcv.cnn import normal_init -from mmcv.ops import DeformConv2d, batched_nms - -from mmdet.core import (RegionAssigner, build_assigner, build_sampler, - images_to_levels, multi_apply) -from ..builder import HEADS, build_head -from .base_dense_head import BaseDenseHead -from .rpn_head import RPNHead - - -class AdaptiveConv(nn.Module): - """AdaptiveConv used to adapt the sampling location with the anchors. - - Args: - in_channels (int): Number of channels in the input image - out_channels (int): Number of channels produced by the convolution - kernel_size (int or tuple): Size of the conv kernel. Default: 3 - stride (int or tuple, optional): Stride of the convolution. Default: 1 - padding (int or tuple, optional): Zero-padding added to both sides of - the input. Default: 1 - dilation (int or tuple, optional): Spacing between kernel elements. - Default: 3 - groups (int, optional): Number of blocked connections from input - channels to output channels. Default: 1 - bias (bool, optional): If set True, adds a learnable bias to the - output. Default: False. - type (str, optional): Type of adaptive conv, can be either 'offset' - (arbitrary anchors) or 'dilation' (uniform anchor). - Default: 'dilation'. - """ - - def __init__(self, - in_channels, - out_channels, - kernel_size=3, - stride=1, - padding=1, - dilation=3, - groups=1, - bias=False, - type='dilation'): - super(AdaptiveConv, self).__init__() - assert type in ['offset', 'dilation'] - self.adapt_type = type - - assert kernel_size == 3, 'Adaptive conv only supports kernels 3' - if self.adapt_type == 'offset': - assert stride == 1 and padding == 1 and groups == 1, \ - 'Adaptive conv offset mode only supports padding: {1}, ' \ - f'stride: {1}, groups: {1}' - self.conv = DeformConv2d( - in_channels, - out_channels, - kernel_size, - padding=padding, - stride=stride, - groups=groups, - bias=bias) - else: - self.conv = nn.Conv2d( - in_channels, - out_channels, - kernel_size, - padding=dilation, - dilation=dilation) - - def init_weights(self): - """Init weights.""" - normal_init(self.conv, std=0.01) - - def forward(self, x, offset): - """Forward function.""" - if self.adapt_type == 'offset': - N, _, H, W = x.shape - assert offset is not None - assert H * W == offset.shape[1] - # reshape [N, NA, 18] to (N, 18, H, W) - offset = offset.permute(0, 2, 1).reshape(N, -1, H, W) - offset = offset.contiguous() - x = self.conv(x, offset) - else: - assert offset is None - x = self.conv(x) - return x - - -@HEADS.register_module() -class StageCascadeRPNHead(RPNHead): - """Stage of CascadeRPNHead. - - Args: - in_channels (int): Number of channels in the input feature map. - anchor_generator (dict): anchor generator config. - adapt_cfg (dict): adaptation config. - bridged_feature (bool, optional): whether update rpn feature. - Default: False. - with_cls (bool, optional): wheather use classification branch. - Default: True. - sampling (bool, optional): wheather use sampling. Default: True. - """ - - def __init__(self, - in_channels, - anchor_generator=dict( - type='AnchorGenerator', - scales=[8], - ratios=[1.0], - strides=[4, 8, 16, 32, 64]), - adapt_cfg=dict(type='dilation', dilation=3), - bridged_feature=False, - with_cls=True, - sampling=True, - **kwargs): - self.with_cls = with_cls - self.anchor_strides = anchor_generator['strides'] - self.anchor_scales = anchor_generator['scales'] - self.bridged_feature = bridged_feature - self.adapt_cfg = adapt_cfg - super(StageCascadeRPNHead, self).__init__( - in_channels, anchor_generator=anchor_generator, **kwargs) - - # override sampling and sampler - self.sampling = sampling - if self.train_cfg: - self.assigner = build_assigner(self.train_cfg.assigner) - # use PseudoSampler when sampling is False - if self.sampling and hasattr(self.train_cfg, 'sampler'): - sampler_cfg = self.train_cfg.sampler - else: - sampler_cfg = dict(type='PseudoSampler') - self.sampler = build_sampler(sampler_cfg, context=self) - - def _init_layers(self): - """Init layers of a CascadeRPN stage.""" - self.rpn_conv = AdaptiveConv(self.in_channels, self.feat_channels, - **self.adapt_cfg) - if self.with_cls: - self.rpn_cls = nn.Conv2d(self.feat_channels, - self.num_anchors * self.cls_out_channels, - 1) - self.rpn_reg = nn.Conv2d(self.feat_channels, self.num_anchors * 4, 1) - self.relu = nn.ReLU(inplace=True) - - def init_weights(self): - """Init weights of a CascadeRPN stage.""" - self.rpn_conv.init_weights() - normal_init(self.rpn_reg, std=0.01) - if self.with_cls: - normal_init(self.rpn_cls, std=0.01) - - def forward_single(self, x, offset): - """Forward function of single scale.""" - bridged_x = x - x = self.relu(self.rpn_conv(x, offset)) - if self.bridged_feature: - bridged_x = x # update feature - cls_score = self.rpn_cls(x) if self.with_cls else None - bbox_pred = self.rpn_reg(x) - return bridged_x, cls_score, bbox_pred - - def forward(self, feats, offset_list=None): - """Forward function.""" - if offset_list is None: - offset_list = [None for _ in range(len(feats))] - return multi_apply(self.forward_single, feats, offset_list) - - def _region_targets_single(self, - anchors, - valid_flags, - gt_bboxes, - gt_bboxes_ignore, - gt_labels, - img_meta, - featmap_sizes, - label_channels=1): - """Get anchor targets based on region for single level.""" - assign_result = self.assigner.assign( - anchors, - valid_flags, - gt_bboxes, - img_meta, - featmap_sizes, - self.anchor_scales[0], - self.anchor_strides, - gt_bboxes_ignore=gt_bboxes_ignore, - gt_labels=None, - allowed_border=self.train_cfg.allowed_border) - flat_anchors = torch.cat(anchors) - sampling_result = self.sampler.sample(assign_result, flat_anchors, - gt_bboxes) - - num_anchors = flat_anchors.shape[0] - bbox_targets = torch.zeros_like(flat_anchors) - bbox_weights = torch.zeros_like(flat_anchors) - labels = flat_anchors.new_zeros(num_anchors, dtype=torch.long) - label_weights = flat_anchors.new_zeros(num_anchors, dtype=torch.float) - - pos_inds = sampling_result.pos_inds - neg_inds = sampling_result.neg_inds - if len(pos_inds) > 0: - if not self.reg_decoded_bbox: - pos_bbox_targets = self.bbox_coder.encode( - sampling_result.pos_bboxes, sampling_result.pos_gt_bboxes) - else: - pos_bbox_targets = sampling_result.pos_gt_bboxes - bbox_targets[pos_inds, :] = pos_bbox_targets - bbox_weights[pos_inds, :] = 1.0 - if gt_labels is None: - labels[pos_inds] = 1 - else: - labels[pos_inds] = gt_labels[ - sampling_result.pos_assigned_gt_inds] - if self.train_cfg.pos_weight <= 0: - label_weights[pos_inds] = 1.0 - else: - label_weights[pos_inds] = self.train_cfg.pos_weight - if len(neg_inds) > 0: - label_weights[neg_inds] = 1.0 - - return (labels, label_weights, bbox_targets, bbox_weights, pos_inds, - neg_inds) - - def region_targets(self, - anchor_list, - valid_flag_list, - gt_bboxes_list, - img_metas, - featmap_sizes, - gt_bboxes_ignore_list=None, - gt_labels_list=None, - label_channels=1, - unmap_outputs=True): - """See :func:`StageCascadeRPNHead.get_targets`.""" - num_imgs = len(img_metas) - assert len(anchor_list) == len(valid_flag_list) == num_imgs - - # anchor number of multi levels - num_level_anchors = [anchors.size(0) for anchors in anchor_list[0]] - - # compute targets for each image - if gt_bboxes_ignore_list is None: - gt_bboxes_ignore_list = [None for _ in range(num_imgs)] - if gt_labels_list is None: - gt_labels_list = [None for _ in range(num_imgs)] - (all_labels, all_label_weights, all_bbox_targets, all_bbox_weights, - pos_inds_list, neg_inds_list) = multi_apply( - self._region_targets_single, - anchor_list, - valid_flag_list, - gt_bboxes_list, - gt_bboxes_ignore_list, - gt_labels_list, - img_metas, - featmap_sizes=featmap_sizes, - label_channels=label_channels) - # no valid anchors - if any([labels is None for labels in all_labels]): - return None - # sampled anchors of all images - num_total_pos = sum([max(inds.numel(), 1) for inds in pos_inds_list]) - num_total_neg = sum([max(inds.numel(), 1) for inds in neg_inds_list]) - # split targets to a list w.r.t. multiple levels - labels_list = images_to_levels(all_labels, num_level_anchors) - label_weights_list = images_to_levels(all_label_weights, - num_level_anchors) - bbox_targets_list = images_to_levels(all_bbox_targets, - num_level_anchors) - bbox_weights_list = images_to_levels(all_bbox_weights, - num_level_anchors) - return (labels_list, label_weights_list, bbox_targets_list, - bbox_weights_list, num_total_pos, num_total_neg) - - def get_targets(self, - anchor_list, - valid_flag_list, - gt_bboxes, - img_metas, - featmap_sizes, - gt_bboxes_ignore=None, - label_channels=1): - """Compute regression and classification targets for anchors. - - Args: - anchor_list (list[list]): Multi level anchors of each image. - valid_flag_list (list[list]): Multi level valid flags of each - image. - gt_bboxes (list[Tensor]): Ground truth bboxes of each image. - img_metas (list[dict]): Meta info of each image. - featmap_sizes (list[Tensor]): Feature mapsize each level - gt_bboxes_ignore (list[Tensor]): Ignore bboxes of each images - label_channels (int): Channel of label. - - Returns: - cls_reg_targets (tuple) - """ - if isinstance(self.assigner, RegionAssigner): - cls_reg_targets = self.region_targets( - anchor_list, - valid_flag_list, - gt_bboxes, - img_metas, - featmap_sizes, - gt_bboxes_ignore_list=gt_bboxes_ignore, - label_channels=label_channels) - else: - cls_reg_targets = super(StageCascadeRPNHead, self).get_targets( - anchor_list, - valid_flag_list, - gt_bboxes, - img_metas, - gt_bboxes_ignore_list=gt_bboxes_ignore, - label_channels=label_channels) - return cls_reg_targets - - def anchor_offset(self, anchor_list, anchor_strides, featmap_sizes): - """ Get offest for deformable conv based on anchor shape - NOTE: currently support deformable kernel_size=3 and dilation=1 - - Args: - anchor_list (list[list[tensor])): [NI, NLVL, NA, 4] list of - multi-level anchors - anchor_strides (list[int]): anchor stride of each level - - Returns: - offset_list (list[tensor]): [NLVL, NA, 2, 18]: offset of DeformConv - kernel. - """ - - def _shape_offset(anchors, stride, ks=3, dilation=1): - # currently support kernel_size=3 and dilation=1 - assert ks == 3 and dilation == 1 - pad = (ks - 1) // 2 - idx = torch.arange(-pad, pad + 1, dtype=dtype, device=device) - yy, xx = torch.meshgrid(idx, idx) # return order matters - xx = xx.reshape(-1) - yy = yy.reshape(-1) - w = (anchors[:, 2] - anchors[:, 0]) / stride - h = (anchors[:, 3] - anchors[:, 1]) / stride - w = w / (ks - 1) - dilation - h = h / (ks - 1) - dilation - offset_x = w[:, None] * xx # (NA, ks**2) - offset_y = h[:, None] * yy # (NA, ks**2) - return offset_x, offset_y - - def _ctr_offset(anchors, stride, featmap_size): - feat_h, feat_w = featmap_size - assert len(anchors) == feat_h * feat_w - - x = (anchors[:, 0] + anchors[:, 2]) * 0.5 - y = (anchors[:, 1] + anchors[:, 3]) * 0.5 - # compute centers on feature map - x = x / stride - y = y / stride - # compute predefine centers - xx = torch.arange(0, feat_w, device=anchors.device) - yy = torch.arange(0, feat_h, device=anchors.device) - yy, xx = torch.meshgrid(yy, xx) - xx = xx.reshape(-1).type_as(x) - yy = yy.reshape(-1).type_as(y) - - offset_x = x - xx # (NA, ) - offset_y = y - yy # (NA, ) - return offset_x, offset_y - - num_imgs = len(anchor_list) - num_lvls = len(anchor_list[0]) - dtype = anchor_list[0][0].dtype - device = anchor_list[0][0].device - num_level_anchors = [anchors.size(0) for anchors in anchor_list[0]] - - offset_list = [] - for i in range(num_imgs): - mlvl_offset = [] - for lvl in range(num_lvls): - c_offset_x, c_offset_y = _ctr_offset(anchor_list[i][lvl], - anchor_strides[lvl], - featmap_sizes[lvl]) - s_offset_x, s_offset_y = _shape_offset(anchor_list[i][lvl], - anchor_strides[lvl]) - - # offset = ctr_offset + shape_offset - offset_x = s_offset_x + c_offset_x[:, None] - offset_y = s_offset_y + c_offset_y[:, None] - - # offset order (y0, x0, y1, x2, .., y8, x8, y9, x9) - offset = torch.stack([offset_y, offset_x], dim=-1) - offset = offset.reshape(offset.size(0), -1) # [NA, 2*ks**2] - mlvl_offset.append(offset) - offset_list.append(torch.cat(mlvl_offset)) # [totalNA, 2*ks**2] - offset_list = images_to_levels(offset_list, num_level_anchors) - return offset_list - - def loss_single(self, cls_score, bbox_pred, anchors, labels, label_weights, - bbox_targets, bbox_weights, num_total_samples): - """Loss function on single scale.""" - # classification loss - if self.with_cls: - labels = labels.reshape(-1) - label_weights = label_weights.reshape(-1) - cls_score = cls_score.permute(0, 2, 3, - 1).reshape(-1, self.cls_out_channels) - loss_cls = self.loss_cls( - cls_score, labels, label_weights, avg_factor=num_total_samples) - # regression loss - bbox_targets = bbox_targets.reshape(-1, 4) - bbox_weights = bbox_weights.reshape(-1, 4) - bbox_pred = bbox_pred.permute(0, 2, 3, 1).reshape(-1, 4) - if self.reg_decoded_bbox: - # When the regression loss (e.g. `IouLoss`, `GIouLoss`) - # is applied directly on the decoded bounding boxes, it - # decodes the already encoded coordinates to absolute format. - anchors = anchors.reshape(-1, 4) - bbox_pred = self.bbox_coder.decode(anchors, bbox_pred) - loss_reg = self.loss_bbox( - bbox_pred, - bbox_targets, - bbox_weights, - avg_factor=num_total_samples) - if self.with_cls: - return loss_cls, loss_reg - return None, loss_reg - - def loss(self, - anchor_list, - valid_flag_list, - cls_scores, - bbox_preds, - gt_bboxes, - img_metas, - gt_bboxes_ignore=None): - """Compute losses of the head. - - Args: - anchor_list (list[list]): Multi level anchors of each image. - cls_scores (list[Tensor]): Box scores for each scale level - Has shape (N, num_anchors * num_classes, H, W) - bbox_preds (list[Tensor]): Box energies / deltas for each scale - level with shape (N, num_anchors * 4, H, W) - gt_bboxes (list[Tensor]): Ground truth bboxes for each image with - shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. - img_metas (list[dict]): Meta information of each image, e.g., - image size, scaling factor, etc. - gt_bboxes_ignore (None | list[Tensor]): specify which bounding - boxes can be ignored when computing the loss. Default: None - - Returns: - dict[str, Tensor]: A dictionary of loss components. - """ - featmap_sizes = [featmap.size()[-2:] for featmap in bbox_preds] - label_channels = self.cls_out_channels if self.use_sigmoid_cls else 1 - cls_reg_targets = self.get_targets( - anchor_list, - valid_flag_list, - gt_bboxes, - img_metas, - featmap_sizes, - gt_bboxes_ignore=gt_bboxes_ignore, - label_channels=label_channels) - if cls_reg_targets is None: - return None - (labels_list, label_weights_list, bbox_targets_list, bbox_weights_list, - num_total_pos, num_total_neg) = cls_reg_targets - if self.sampling: - num_total_samples = num_total_pos + num_total_neg - else: - # 200 is hard-coded average factor, - # which follows guided anchoring. - num_total_samples = sum([label.numel() - for label in labels_list]) / 200.0 - - # change per image, per level anchor_list to per_level, per_image - mlvl_anchor_list = list(zip(*anchor_list)) - # concat mlvl_anchor_list - mlvl_anchor_list = [ - torch.cat(anchors, dim=0) for anchors in mlvl_anchor_list - ] - - losses = multi_apply( - self.loss_single, - cls_scores, - bbox_preds, - mlvl_anchor_list, - labels_list, - label_weights_list, - bbox_targets_list, - bbox_weights_list, - num_total_samples=num_total_samples) - if self.with_cls: - return dict(loss_rpn_cls=losses[0], loss_rpn_reg=losses[1]) - return dict(loss_rpn_reg=losses[1]) - - def get_bboxes(self, - anchor_list, - cls_scores, - bbox_preds, - img_metas, - cfg, - rescale=False): - """Get proposal predict.""" - assert len(cls_scores) == len(bbox_preds) - num_levels = len(cls_scores) - - result_list = [] - for img_id in range(len(img_metas)): - cls_score_list = [ - cls_scores[i][img_id].detach() for i in range(num_levels) - ] - bbox_pred_list = [ - bbox_preds[i][img_id].detach() for i in range(num_levels) - ] - img_shape = img_metas[img_id]['img_shape'] - scale_factor = img_metas[img_id]['scale_factor'] - proposals = self._get_bboxes_single(cls_score_list, bbox_pred_list, - anchor_list[img_id], img_shape, - scale_factor, cfg, rescale) - result_list.append(proposals) - return result_list - - def refine_bboxes(self, anchor_list, bbox_preds, img_metas): - """Refine bboxes through stages.""" - num_levels = len(bbox_preds) - new_anchor_list = [] - for img_id in range(len(img_metas)): - mlvl_anchors = [] - for i in range(num_levels): - bbox_pred = bbox_preds[i][img_id].detach() - bbox_pred = bbox_pred.permute(1, 2, 0).reshape(-1, 4) - img_shape = img_metas[img_id]['img_shape'] - bboxes = self.bbox_coder.decode(anchor_list[img_id][i], - bbox_pred, img_shape) - mlvl_anchors.append(bboxes) - new_anchor_list.append(mlvl_anchors) - return new_anchor_list - - # TODO: temporary plan - def _get_bboxes_single(self, - cls_scores, - bbox_preds, - mlvl_anchors, - img_shape, - scale_factor, - cfg, - rescale=False): - """Transform outputs for a single batch item into bbox predictions. - - Args: - cls_scores (list[Tensor]): Box scores for each scale level - Has shape (num_anchors * num_classes, H, W). - bbox_preds (list[Tensor]): Box energies / deltas for each scale - level with shape (num_anchors * 4, H, W). - mlvl_anchors (list[Tensor]): Box reference for each scale level - with shape (num_total_anchors, 4). - img_shape (tuple[int]): Shape of the input image, - (height, width, 3). - scale_factor (ndarray): Scale factor of the image arange as - (w_scale, h_scale, w_scale, h_scale). - cfg (mmcv.Config): Test / postprocessing configuration, - if None, test_cfg would be used. - rescale (bool): If True, return boxes in original image space. - - Returns: - Tensor: Labeled boxes have the shape of (n,5), where the - first 4 columns are bounding box positions - (tl_x, tl_y, br_x, br_y) and the 5-th column is a score - between 0 and 1. - """ - cfg = self.test_cfg if cfg is None else cfg - cfg = copy.deepcopy(cfg) - # bboxes from different level should be independent during NMS, - # level_ids are used as labels for batched NMS to separate them - level_ids = [] - mlvl_scores = [] - mlvl_bbox_preds = [] - mlvl_valid_anchors = [] - for idx in range(len(cls_scores)): - rpn_cls_score = cls_scores[idx] - rpn_bbox_pred = bbox_preds[idx] - assert rpn_cls_score.size()[-2:] == rpn_bbox_pred.size()[-2:] - rpn_cls_score = rpn_cls_score.permute(1, 2, 0) - if self.use_sigmoid_cls: - rpn_cls_score = rpn_cls_score.reshape(-1) - scores = rpn_cls_score.sigmoid() - else: - rpn_cls_score = rpn_cls_score.reshape(-1, 2) - # We set FG labels to [0, num_class-1] and BG label to - # num_class in RPN head since mmdet v2.5, which is unified to - # be consistent with other head since mmdet v2.0. In mmdet v2.0 - # to v2.4 we keep BG label as 0 and FG label as 1 in rpn head. - scores = rpn_cls_score.softmax(dim=1)[:, 0] - rpn_bbox_pred = rpn_bbox_pred.permute(1, 2, 0).reshape(-1, 4) - anchors = mlvl_anchors[idx] - if cfg.nms_pre > 0 and scores.shape[0] > cfg.nms_pre: - # sort is faster than topk - # _, topk_inds = scores.topk(cfg.nms_pre) - if torch.onnx.is_in_onnx_export(): - # sort op will be converted to TopK in onnx - # and k<=3480 in TensorRT - _, topk_inds = scores.topk(cfg.nms_pre) - scores = scores[topk_inds] - else: - ranked_scores, rank_inds = scores.sort(descending=True) - topk_inds = rank_inds[:cfg.nms_pre] - scores = ranked_scores[:cfg.nms_pre] - rpn_bbox_pred = rpn_bbox_pred[topk_inds, :] - anchors = anchors[topk_inds, :] - mlvl_scores.append(scores) - mlvl_bbox_preds.append(rpn_bbox_pred) - mlvl_valid_anchors.append(anchors) - level_ids.append( - scores.new_full((scores.size(0), ), idx, dtype=torch.long)) - - scores = torch.cat(mlvl_scores) - anchors = torch.cat(mlvl_valid_anchors) - rpn_bbox_pred = torch.cat(mlvl_bbox_preds) - proposals = self.bbox_coder.decode( - anchors, rpn_bbox_pred, max_shape=img_shape) - ids = torch.cat(level_ids) - - # Skip nonzero op while exporting to ONNX - if cfg.min_bbox_size > 0 and (not torch.onnx.is_in_onnx_export()): - w = proposals[:, 2] - proposals[:, 0] - h = proposals[:, 3] - proposals[:, 1] - valid_inds = torch.nonzero( - (w >= cfg.min_bbox_size) - & (h >= cfg.min_bbox_size), - as_tuple=False).squeeze() - if valid_inds.sum().item() != len(proposals): - proposals = proposals[valid_inds, :] - scores = scores[valid_inds] - ids = ids[valid_inds] - - # deprecate arguments warning - if 'nms' not in cfg or 'max_num' in cfg or 'nms_thr' in cfg: - warnings.warn( - 'In rpn_proposal or test_cfg, ' - 'nms_thr has been moved to a dict named nms as ' - 'iou_threshold, max_num has been renamed as max_per_img, ' - 'name of original arguments and the way to specify ' - 'iou_threshold of NMS will be deprecated.') - if 'nms' not in cfg: - cfg.nms = ConfigDict(dict(type='nms', iou_threshold=cfg.nms_thr)) - if 'max_num' in cfg: - if 'max_per_img' in cfg: - assert cfg.max_num == cfg.max_per_img, f'You ' \ - f'set max_num and ' \ - f'max_per_img at the same time, but get {cfg.max_num} ' \ - f'and {cfg.max_per_img} respectively' \ - 'Please delete max_num which will be deprecated.' - else: - cfg.max_per_img = cfg.max_num - if 'nms_thr' in cfg: - assert cfg.nms.iou_threshold == cfg.nms_thr, f'You set' \ - f' iou_threshold in nms and ' \ - f'nms_thr at the same time, but get' \ - f' {cfg.nms.iou_threshold} and {cfg.nms_thr}' \ - f' respectively. Please delete the nms_thr ' \ - f'which will be deprecated.' - - dets, keep = batched_nms(proposals, scores, ids, cfg.nms) - return dets[:cfg.max_per_img] - - -@HEADS.register_module() -class CascadeRPNHead(BaseDenseHead): - """The CascadeRPNHead will predict more accurate region proposals, which is - required for two-stage detectors (such as Fast/Faster R-CNN). CascadeRPN - consists of a sequence of RPNStage to progressively improve the accuracy of - the detected proposals. - - More details can be found in ``https://arxiv.org/abs/1909.06720``. - - Args: - num_stages (int): number of CascadeRPN stages. - stages (list[dict]): list of configs to build the stages. - train_cfg (list[dict]): list of configs at training time each stage. - test_cfg (dict): config at testing time. - """ - - def __init__(self, num_stages, stages, train_cfg, test_cfg): - super(CascadeRPNHead, self).__init__() - assert num_stages == len(stages) - self.num_stages = num_stages - self.stages = nn.ModuleList() - for i in range(len(stages)): - train_cfg_i = train_cfg[i] if train_cfg is not None else None - stages[i].update(train_cfg=train_cfg_i) - stages[i].update(test_cfg=test_cfg) - self.stages.append(build_head(stages[i])) - self.train_cfg = train_cfg - self.test_cfg = test_cfg - - def init_weights(self): - """Init weight of CascadeRPN.""" - for i in range(self.num_stages): - self.stages[i].init_weights() - - def loss(self): - """loss() is implemented in StageCascadeRPNHead.""" - pass - - def get_bboxes(self): - """get_bboxes() is implemented in StageCascadeRPNHead.""" - pass - - def forward_train(self, - x, - img_metas, - gt_bboxes, - gt_labels=None, - gt_bboxes_ignore=None, - proposal_cfg=None): - """Forward train function.""" - assert gt_labels is None, 'RPN does not require gt_labels' - - featmap_sizes = [featmap.size()[-2:] for featmap in x] - device = x[0].device - anchor_list, valid_flag_list = self.stages[0].get_anchors( - featmap_sizes, img_metas, device=device) - - losses = dict() - - for i in range(self.num_stages): - stage = self.stages[i] - - if stage.adapt_cfg['type'] == 'offset': - offset_list = stage.anchor_offset(anchor_list, - stage.anchor_strides, - featmap_sizes) - else: - offset_list = None - x, cls_score, bbox_pred = stage(x, offset_list) - rpn_loss_inputs = (anchor_list, valid_flag_list, cls_score, - bbox_pred, gt_bboxes, img_metas) - stage_loss = stage.loss(*rpn_loss_inputs) - for name, value in stage_loss.items(): - losses['s{}.{}'.format(i, name)] = value - - # refine boxes - if i < self.num_stages - 1: - anchor_list = stage.refine_bboxes(anchor_list, bbox_pred, - img_metas) - if proposal_cfg is None: - return losses - else: - proposal_list = self.stages[-1].get_bboxes(anchor_list, cls_score, - bbox_pred, img_metas, - self.test_cfg) - return losses, proposal_list - - def simple_test_rpn(self, x, img_metas): - """Simple forward test function.""" - featmap_sizes = [featmap.size()[-2:] for featmap in x] - device = x[0].device - anchor_list, _ = self.stages[0].get_anchors( - featmap_sizes, img_metas, device=device) - - for i in range(self.num_stages): - stage = self.stages[i] - if stage.adapt_cfg['type'] == 'offset': - offset_list = stage.anchor_offset(anchor_list, - stage.anchor_strides, - featmap_sizes) - else: - offset_list = None - x, cls_score, bbox_pred = stage(x, offset_list) - if i < self.num_stages - 1: - anchor_list = stage.refine_bboxes(anchor_list, bbox_pred, - img_metas) - - proposal_list = self.stages[-1].get_bboxes(anchor_list, cls_score, - bbox_pred, img_metas, - self.test_cfg) - return proposal_list - - def aug_test_rpn(self, x, img_metas): - """Augmented forward test function.""" - raise NotImplementedError diff --git a/spaces/dinhminh20521597/OCR_DEMO/configs/_base_/recog_datasets/ST_SA_MJ_train.py b/spaces/dinhminh20521597/OCR_DEMO/configs/_base_/recog_datasets/ST_SA_MJ_train.py deleted file mode 100644 index bc272bf9fad66ab89de3dd672618a7ae01c142f7..0000000000000000000000000000000000000000 --- a/spaces/dinhminh20521597/OCR_DEMO/configs/_base_/recog_datasets/ST_SA_MJ_train.py +++ /dev/null @@ -1,48 +0,0 @@ -# Text Recognition Training set, including: -# Synthetic Datasets: SynthText, Syn90k - -train_root = 'data/mixture' - -train_img_prefix1 = f'{train_root}/Syn90k/mnt/ramdisk/max/90kDICT32px' -train_ann_file1 = f'{train_root}/Syn90k/label.lmdb' - -train1 = dict( - type='OCRDataset', - img_prefix=train_img_prefix1, - ann_file=train_ann_file1, - loader=dict( - type='AnnFileLoader', - repeat=1, - file_format='lmdb', - parser=dict(type='LineJsonParser', keys=['filename', 'text'])), - pipeline=None, - test_mode=False) - -train_img_prefix2 = f'{train_root}/SynthText/' + \ - 'synthtext/SynthText_patch_horizontal' -train_ann_file2 = f'{train_root}/SynthText/label.lmdb' - -train_img_prefix3 = f'{train_root}/SynthText_Add' -train_ann_file3 = f'{train_root}/SynthText_Add/label.txt' - -train2 = {key: value for key, value in train1.items()} -train2['img_prefix'] = train_img_prefix2 -train2['ann_file'] = train_ann_file2 - -train3 = dict( - type='OCRDataset', - img_prefix=train_img_prefix3, - ann_file=train_ann_file3, - loader=dict( - type='AnnFileLoader', - repeat=1, - file_format='txt', - parser=dict( - type='LineStrParser', - keys=['filename', 'text'], - keys_idx=[0, 1], - separator=' ')), - pipeline=None, - test_mode=False) - -train_list = [train1, train2, train3] diff --git a/spaces/dmeck/RVC-Speakers/speakers/server/static/swagger-ui-bundle.js b/spaces/dmeck/RVC-Speakers/speakers/server/static/swagger-ui-bundle.js deleted file mode 100644 index b4e15abfa947dc18d60d735811dd38d60868e05d..0000000000000000000000000000000000000000 --- a/spaces/dmeck/RVC-Speakers/speakers/server/static/swagger-ui-bundle.js +++ /dev/null @@ -1,9 +0,0 @@ -/** - 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Ub}}}),Rw=Xs(Tw,{props:{timeout:5e3,redirects:5,withCredentials:!1},init({timeout:e=this.timeout,redirects:t=this.redirects,withCredentials:n=this.withCredentials}={}){this.timeout=e,this.redirects=t,this.withCredentials=n},methods:{canRead:e=>gb(e.uri),async read(){throw new Ub},getHttpClient(){throw new Ub}}}).compose({props:{name:"http-swagger-client",swaggerHTTPClient:ct,swaggerHTTPClientConfig:{}},init(){let{swaggerHTTPClient:e=this.swaggerHTTPClient}=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};this.swaggerHTTPClient=e},methods:{getHttpClient(){return this.swaggerHTTPClient},async read(e){const t=this.getHttpClient(),n=new AbortController,{signal:r}=n,o=setTimeout((()=>{n.abort()}),this.timeout),s=this.getHttpClient().withCredentials||this.withCredentials?"include":"same-origin",i=0===this.redirects?"error":"follow",a=this.redirects>0?this.redirects:void 0;try{return(await t(f()({url:e.uri,signal:r,userFetch:async(e,t)=>{let n=await 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d=Qw({reference:s,namespace:this.namespace,indirections:[...this.indirections],options:this.options,useCircularStructures:this.useCircularStructures,allowMetaPatches:this.allowMetaPatches,ancestors:t,basePath:this.basePath??[...Hw([...o,n,e]),"$ref"]});if(f=await Xw(f,d,{keyMap:Jv,nodeTypeGetter:Wv}),r.delete(e),this.indirections.pop(),iy(f)){const t=f.clone();return t.setMetaProperty("ref-fields",{$ref:e.$ref?.toValue()}),t.setMetaProperty("ref-origin",i),t}const m=new Ym([...f.content],f.meta.clone(),f.attributes.clone());if(e.forEach(((e,t,n)=>{m.remove(t.toValue()),m.content.push(n)})),m.remove("$ref"),m.setMetaProperty("ref-fields",{$ref:e.$ref?.toValue()}),m.setMetaProperty("ref-origin",i),this.allowMetaPatches&&void 0===m.get("$$ref")){const e=Eb(i,a);m.set("$$ref",e)}return m}catch(t){const r=Gw(t),s=new Zw(`Could not resolve reference: ${r.message}`,{baseDoc:this.reference.uri,$ref:e.$ref.toValue(),fullPath:this.basePath??[...Hw([...o,n,e]),"$ref"]},r);return void this.options.dereference.dereferenceOpts?.errors?.push?.(s)}},async LinkElement(){},async ExampleElement(e,t,n,r,o){try{return await Vw.compose.methods.ExampleElement.call(this,e,t,n,r,o)}catch(t){const r=Gw(t),s=Yw(r,{baseDoc:this.reference.uri,externalValue:e.externalValue?.toValue(),fullPath:this.basePath??[...Hw([...o,n,e]),"externalValue"]});return void this.options.dereference.dereferenceOpts?.errors?.push?.(s)}}}}),eE=Qw,tE=Kw.compose.bind(),nE=tE({init(e){let{parameterMacro:t,options:n}=e;this.parameterMacro=t,this.options=n},props:{parameterMacro:null,options:null,macroOperation:null,OperationElement:{enter(e){this.macroOperation=e},leave(){this.macroOperation=null}},ParameterElement:{leave(e,t,n,r,o){const s=null===this.macroOperation?null:Ri(this.macroOperation),i=Ri(e);try{const t=this.parameterMacro(s,i);e.set("default",t)}catch(e){const t=new 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r=n(53441).DebounceInput;r.DebounceInput=r,e.exports=r},64448:(e,t,n)=>{"use strict";var r=n(67294),o=n(27418),s=n(63840);function i(e){for(var t="https://reactjs.org/docs/error-decoder.html?invariant="+e,n=1;n