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  1. spaces/123Kumar/vits-uma-genshin-honkai123/text/symbols.py +0 -39
  2. spaces/1acneusushi/gradio-2dmoleculeeditor/data/ArtCAM 2008 Crack ((INSTALL)).md +0 -39
  3. spaces/1acneusushi/gradio-2dmoleculeeditor/data/Descargar driver booster full How to get the best driver updater for your PC.md +0 -41
  4. spaces/1acneusushi/gradio-2dmoleculeeditor/data/Download and Watch Elena Undone Arabic Subtitle A Beautiful Story of Two Women.md +0 -133
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  12. spaces/2ndelement/voicevox/build_util/codesign.bash +0 -49
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  14. spaces/801artistry/RVC801/app.py +0 -0
  15. spaces/AIGC-Audio/Make_An_Audio/wav_evaluation/models/clap.py +0 -90
  16. spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_2_ProfileRecogition/mmpretrain/configs/resnet/resnet152_8xb32_in1k.py +0 -4
  17. spaces/Adapter/T2I-Adapter/ldm/models/autoencoder.py +0 -211
  18. spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/badgelabel/Factory.js +0 -13
  19. spaces/Amrrs/DragGan-Inversion/stylegan_human/pti/training/coaches/multi_id_coach.py +0 -80
  20. spaces/Andy1621/uniformer_image_detection/configs/fsaf/fsaf_r101_fpn_1x_coco.py +0 -2
  21. spaces/Andy1621/uniformer_image_detection/configs/gfl/gfl_r101_fpn_mstrain_2x_coco.py +0 -12
  22. spaces/Andy1621/uniformer_image_segmentation/configs/ann/ann_r50-d8_512x512_40k_voc12aug.py +0 -6
  23. spaces/Andy1621/uniformer_image_segmentation/configs/dmnet/dmnet_r101-d8_769x769_80k_cityscapes.py +0 -2
  24. spaces/Andy1621/uniformer_image_segmentation/configs/fcn/fcn_r18b-d8_769x769_80k_cityscapes.py +0 -9
  25. spaces/AndyCer/TheBloke-stable-vicuna-13B-HF/README.md +0 -12
  26. spaces/Arthur678/vits-uma-genshin-honkai/Docker/vits.sh +0 -20
  27. spaces/Artples/LLaMA-2-CHAT/run-app.sh +0 -1
  28. spaces/Atharv23m/Human-Stress-Detection/README.md +0 -13
  29. spaces/Awiny/Image2Paragraph/models/grit_src/third_party/CenterNet2/tests/modeling/__init__.py +0 -0
  30. spaces/Babelscape/rebel-demo/app.py +0 -104
  31. spaces/BasToTheMax/openai-whisper-large-v2/app.py +0 -3
  32. spaces/Benson/text-generation/Examples/Bus Simulator Ultimate Apk Money Trick Happymod Download.md +0 -61
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  35. spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_internal/index/collector.py +0 -505
  36. spaces/CVPR/Dual-Key_Backdoor_Attacks/openvqa/openvqa/models/mfb/mfb.py +0 -152
  37. spaces/CVPR/LIVE/thrust/thrust/detail/complex/catrigf.h +0 -500
  38. spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/binary_search.h +0 -44
  39. spaces/CVPR/lama-example/saicinpainting/training/visualizers/__init__.py +0 -15
  40. spaces/Celestinian/Nora-Inference/app.py +0 -36
  41. spaces/Cvandi/remake/Training.md +0 -100
  42. spaces/DAMO-NLP-SG/Video-LLaMA/video_llama/models/blip2.py +0 -222
  43. spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/click/__init__.py +0 -73
  44. spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/fontTools/ttLib/tables/C_B_L_C_.py +0 -10
  45. spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/fontTools/ttLib/tables/G_D_E_F_.py +0 -5
  46. spaces/DReAMy-lib/dream/README.md +0 -13
  47. spaces/Daimon/translation_demo/style/style.css +0 -33
  48. spaces/Detomo/ai-comic-generation/src/components/ui/dropdown-menu.tsx +0 -200
  49. spaces/Dharshinijayakumar/Dharshujayakumaraiapp/README.md +0 -12
  50. spaces/DragGan/DragGan-Inversion/PTI/models/StyleCLIP/criteria/__init__.py +0 -0
spaces/123Kumar/vits-uma-genshin-honkai123/text/symbols.py DELETED
@@ -1,39 +0,0 @@
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- '''
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- Defines the set of symbols used in text input to the model.
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- '''
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-
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- '''# japanese_cleaners
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- _pad = '_'
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- _punctuation = ',.!?-'
8
- _letters = 'AEINOQUabdefghijkmnoprstuvwyzʃʧ↓↑ '
9
- '''
10
-
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- '''# japanese_cleaners2
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- _pad = '_'
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- _punctuation = ',.!?-~…'
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- _letters = 'AEINOQUabdefghijkmnoprstuvwyzʃʧʦ↓↑ '
15
- '''
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-
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- '''# korean_cleaners
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- _pad = '_'
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- _punctuation = ',.!?…~'
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- _letters = 'ㄱㄴㄷㄹㅁㅂㅅㅇㅈㅊㅋㅌㅍㅎㄲㄸㅃㅆㅉㅏㅓㅗㅜㅡㅣㅐㅔ '
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- '''
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-
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- '''# chinese_cleaners
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- _pad = '_'
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- _punctuation = ',。!?—…'
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- _letters = 'ㄅㄆㄇㄈㄉㄊㄋㄌㄍㄎㄏㄐㄑㄒㄓㄔㄕㄖㄗㄘㄙㄚㄛㄜㄝㄞㄟㄠㄡㄢㄣㄤㄥㄦㄧㄨㄩˉˊˇˋ˙ '
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- '''
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-
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- # zh_ja_mixture_cleaners
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- _pad = '_'
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- _punctuation = ',.!?-~…'
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- _letters = 'AEINOQUabdefghijklmnoprstuvwyzʃʧʦɯɹəɥ⁼ʰ`→↓↑ '
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-
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-
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- # Export all symbols:
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- symbols = [_pad] + list(_punctuation) + list(_letters)
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-
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- # Special symbol ids
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- SPACE_ID = symbols.index(" ")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/1acneusushi/gradio-2dmoleculeeditor/data/ArtCAM 2008 Crack ((INSTALL)).md DELETED
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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Download and Watch Elena Undone Arabic Subtitle A Beautiful Story of Two Women.md DELETED
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- <li>Download and install the VPN app on your device.</li>
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- <li>Launch the VPN app and connect to a server in a region where your desired streaming platform is available.</li>
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- <li>Open your browser and go to your desired streaming platform's website.</li>
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- <li>Search for Elena Undone and enjoy watching it with Arabic subtitle.</li>
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- </ul>
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- <h3>How to adjust the subtitle settings on the streaming platforms</h3>
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- <p>After you access your desired streaming platform and find Elena Undone, you need to adjust the subtitle settings according to your preferences. Here are some things that you can do:</p>
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- <ul>
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- <li>Select Arabic as your preferred subtitle language from the menu or options available on the streaming platform.</li>
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- <li>Change the size, color, font, or position of the subtitles if possible on the streaming platform.</li>
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- <li>Turn on or off closed captions if available on the streaming platform.</li>
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- </ul>
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- <h2>How to enjoy Elena Undone with Arabic subtitle more</h2>
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- <p>Now that you know how to watch Elena Undone with Arabic subtitle online or offline, here are some tips and tricks to enhance your viewing experience:</p>
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- <h3>Some tips and tricks to improve your viewing experience</h3>
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- <code>
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- <h3>Some cultural and linguistic aspects of Elena Undone that you might not know</h3>
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- <p>Elena Undone is not only a romantic drama, but also a cultural and linguistic exploration of the differences and similarities between Elena and Peyton. Here are some interesting facts that you might not know:</p>
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- <ul>
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- <li>Elena is a Spanish name that means "bright, shining light". Peyton is an English name that means "fighting man's estate". The contrast between their names reflects their personalities and backgrounds.</li>
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- <li>Elena speaks Spanish as her native language and English as her second language. Peyton speaks English as her native language and French as her second language. The movie shows how they communicate in different languages and sometimes mix them up.</li>
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- <li>Elena is a devout Christian who is married to a pastor. Peyton is an atheist who is openly lesbian. The movie explores how they deal with their religious and sexual differences and how they affect their relationship.</li>
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- <li>Elena and Peyton live in Los Angeles, California, which is a multicultural and diverse city. The movie shows how they interact with different people and cultures in their daily lives.</li>
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- </ul>
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- <h3>Some related movies and shows that you might like</h3>
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- <p>If you enjoyed watching Elena Undone with Arabic subtitle, you might also like these movies and shows that have similar themes or genres:</p>
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- <ul>
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- <li><a href="https://www.imdb.com/title/tt0362269/">Carol</a>: This is a 2015 romantic drama film that tells the story of Carol, a married woman who falls in love with Therese, a young aspiring photographer. The film is set in the 1950s and explores the social and legal challenges of lesbian love in that era.</li>
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- <li><a href="https://www.imdb.com/title/tt1049405/">Imagine Me & You</a>: This is a 2005 romantic comedy film that tells the story of Rachel, a newlywed woman who falls in love with Luce, a female florist. The film is set in London and explores the humorous and emotional aspects of bisexual love.</li>
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- <li><a href="https://www.imdb.com/title/tt0118308/">The L Word</a>: This is a 2004-2009 TV series that tells the story of a group of lesbian friends living in Los Angeles. The series covers various topics related to lesbian culture, such as relationships, sexuality, identity, politics, and art.</li>
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- </ul>
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- <h2>Conclusion</h2>
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- <p>Elena Undone is a movie that celebrates lesbian love and challenges the stereotypes and norms of society. It is a movie that can touch your heart and inspire your mind. If you want to watch Elena Undone with Arabic subtitle, you can follow the tips and tricks that we shared in this article. You can find and download the subtitle file from reliable websites, or watch the movie online on streaming platforms that offer subtitles. You can also learn more about the cultural and linguistic aspects of the movie, and discover more movies and shows that you might like.</p>
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- <p>We hope that this article helped you to watch Elena Undone with Arabic subtitle more easily and enjoyably. If you have any questions or feedback, please let us know in the comments below. Thank you for reading!</p>
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- <h2>FAQs</h2>
124
- <table>
125
- <tr><td>Q: Who directed Elena Undone?</td><td>A: Elena Undone was directed by Nicole Conn, who is also a lesbian writer and producer.</td></tr>
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- <tr><td>Q: How long is Elena Undone?</td><td>A: Elena Undone has a runtime of 111 minutes.</td></tr>
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- <tr><td>Q: What is the rating of Elena Undone?</td><td>A: Elena Undone has a rating of NR (Not Rated) by the MPAA (Motion Picture Association of America).</td></tr>
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- <tr><td>Q: What is the genre of Elena Undone?</td><td>A: Elena Undone belongs to the genre of romantic drama.</td></tr>
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- <tr><td>Q: What is the theme song of Elena Undone?</td><td>A: The theme song of Elena Undone is "Love Is Beautiful" by Jennifer Corday.</td></tr>
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- </table>
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- <p>Using Cyber Hunter Hack is easy and simple. Just follow these steps:</p>
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- <li>Download CMultiHack V2.1 from Wicked website.</li>
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- <li>Run Cyber Hunter and stay at Lobby, don't start the match.</li>
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- <li>Inject .dll using injector.</li>
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- <li>You have successfully loaded the hack. Press Insert to see menu.</li>
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- <p>Note: You need the latest Microsoft C++ libraries (2019-2021) to run the hack.</p>
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- <h2>Conclusion</h2>
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- <p>Cyber Hunter Hack is a great way to dominate the sci-fi battle royale game and have more fun and excitement. You can use features like ESP, Aimbot, Wallhack, Chams, No Recoil, No Spread, No Grass, No Sky, AutoShoot and more. You can get undetected Cyber Hunter Hack with ESP, Aimbot and More from Wicked website, which offers the best working hack/cheat for Cyber Hunter PC. You can download CMultiHack V2.1, which is updated regularly and has many features that will enhance your gaming experience. You can also join their telegram channel for more updates and discounts.</p>
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- <p>If you are looking for a fun and exciting sci-fi battle royale game with cool guns, creative weapons and vehicles that fly and float, then Cyber Hunter is the game for you. And if you want to dominate the game and win more matches, then Cyber Hunter Hack is the tool for you. Try it today and see the difference!</p>
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- <p>While using Cyber Hunter Hack can be fun and rewarding, it also comes with some risks that you should be aware of. Some of them are:</p>
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- <li>Ban: This is the most obvious risk of using Cyber Hunter Hack. If the game detects that you are using a hack or cheat, it can ban your account permanently or temporarily. This means that you will lose all your progress, items and achievements in the game.</li>
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- <li>Virus: This is another common risk of using Cyber Hunter Hack. Some websites that offer hacks or cheats might contain viruses, malware or spyware that can harm your computer or steal your personal information. This can compromise your security and privacy and cause serious damage to your system.</li>
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- <li>Scam: This is another possible risk of using Cyber Hunter Hack. Some websites that offer hacks or cheats might scam you by asking you to pay money, fill out surveys, download apps or provide personal information. They might promise you a working hack or cheat, but in reality they will give you nothing or something that doesn't work.</li>
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- <h2>How to Avoid the Risks of Using Cyber Hunter Hack?</h2>
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- <p>There are some ways that you can avoid or minimize the risks of using Cyber Hunter Hack. Some of them are:</p>
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- <li>Choose a reputable website: This is the most important thing that you can do to avoid the risks of using Cyber Hunter Hack. You should choose a website that has a good reputation, positive reviews and feedback from other users. You should also check if the website has a secure connection, a valid certificate and a clear privacy policy.</li>
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- <li>Use an undetected hack: This is another thing that you can do to avoid the risks of using Cyber Hunter Hack. You should use a hack that is undetected by the game's anti-cheat system and has features that are not too obvious or suspicious. You should also update the hack regularly and use it with caution.</li>
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- <li>Use an antivirus: This is another thing that you can do to avoid the risks of using Cyber Hunter Hack. You should use an antivirus program that can scan and protect your computer from viruses, malware and spyware. You should also update the antivirus program regularly and perform regular scans.</li>
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- <li>Use a VPN: This is another thing that you can do to avoid the risks of using Cyber Hunter Hack. You should use a VPN service that can hide your IP address and encrypt your internet traffic. This can prevent the game from tracking your location and activity and protect your privacy and security.</li>
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- <h2>Cyber Hunter Hack: The Final Verdict</h2>
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- <p>Cyber Hunter Hack is a software or tool that can modify the game data or give you access to features that are normally unavailable or restricted. It can give you features like ESP, Aimbot, Wallhack, Chams, No Recoil, No Spread, No Grass, No Sky, AutoShoot and more. It can help you dominate the game and have more fun and excitement.</p>
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- <p>You should also use an antivirus program, a VPN service and other precautions to avoid or minimize the risks of using Cyber Hunter Hack. You should use the hack with caution and respect for other players.</p>
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- <h2>What are the Alternatives to Using Cyber Hunter Hack?</h2>
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- <li>Practice: This is the most obvious alternative to using Cyber Hunter Hack. You can practice your skills and improve your gameplay by playing more matches, learning from your mistakes, watching tutorials and guides, and following tips and tricks from other players.</li>
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- <h2>What are the Future Updates for Cyber Hunter Hack?</h2>
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- <p>Cyber Hunter Hack is a software or tool that is constantly updated and improved by its developers and providers. Some of the future updates that you can expect for Cyber Hunter Hack are:</p>
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- <li>New features: This is a future update that will add new features or improve existing features for Cyber Hunter Hack. For example, some of the new features that might be added are SpeedHack, FlyHack, TeleportHack, GodMode and more.</li>
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- <h1>Download License Key for Grand Theft Auto Vice City</h1>
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- <p>There are different ways to download license key for Grand Theft Auto Vice City, depending on where you bought the game from. Here are some of the most common options:</p>
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- <ul>
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- <li>If you bought the game from Rockstar Games official website, you will receive an email with your license key after completing your purchase. You can also find your license key in your Rockstar Games Social Club account.</li>
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- <li>Download and install the game on your PC.</li>
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- <p>Sometimes, you may encounter some issues when trying to download license key for Grand Theft Auto Vice City. Here are some tips to help you solve them:</p>
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- <li>Make sure you have a stable internet connection and enough storage space on your PC.</li>
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- <li>Contact the customer support of the website or platform where you bought the game if you did not receive your license key or if it is invalid.</li>
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- <li>Make sure you enter your license key correctly and without any typos or spaces.</li>
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- <li>Make sure you meet the minimum system requirements for running the game on your PC.</li>
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- <h2>Conclusion</h2>
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- <p>Grand Theft Auto Vice City is a classic game that deserves a place in your gaming collection. To download license key for Grand Theft Auto Vice City, you just need to follow the instructions above and activate the game on your PC. Then, you can enjoy the thrilling and nostalgic experience of playing GTA Vice City!</p>
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- <h2>Benefits of Downloading License Key for Grand Theft Auto Vice City</h2>
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- <p>Downloading license key for Grand Theft Auto Vice City has many benefits for gamers who want to enjoy this classic game. Some of the benefits are:</p>
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- <h2>Alternatives to Downloading License Key for Grand Theft Auto Vice City</h2>
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- <p>If you are unable to download license key for Grand Theft Auto Vice City, or if you prefer a different way to play the game, you have some alternatives to choose from. Some of the alternatives are:</p>
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- <li>You can buy a physical copy of the game from a local or online store and install it on your PC using the CD or DVD.</li>
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- <li>You can download a cracked version of the game from a torrent or file-sharing website and play it without a license key. However, this is illegal and risky, as you may face legal consequences or infect your PC with viruses or malware.</li>
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- <li>You can play a similar game that has the same genre, theme, or gameplay as Grand Theft Auto Vice City. For example, you can try Grand Theft Auto III, Grand Theft Auto San Andreas, Mafia, Scarface: The World Is Yours, or Saints Row.</li>
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- <p>"Grand Theft Auto: Vice City is an amazing game that offers so much more than its predecessor. The game world is huge and varied, the missions are challenging and fun, the characters are memorable and well-written, and the soundtrack is simply awesome. This is a game that will keep you hooked for hours and hours." - IGN</p>
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spaces/1line/AutoGPT/.devcontainer/Dockerfile DELETED
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spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Adobe Photoshop CC 2019-20.0.5 The Ultimate Image Editor for PC.md DELETED
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- <li><strong>Immersive story and atmosphere:</strong> The game has a captivating story that will keep you hooked until the end. The game also has a dark and gritty atmosphere that will make you feel like you are really in a back alley full of dangers and secrets.</li>
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- <li><strong>Multiple endings and replay value:</strong> The game has different endings depending on your choices and actions throughout the game. You can replay the game to see how different outcomes affect the story and the characters. You can also try to achieve the best ending possible by solving all the puzzles without using any hints.</li>
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- <p>If you want to enjoy Back Alley Tales without any limitations or research and verify the source before downloading anything from it. You can also read the reviews and comments from other users who have used the mod apk file.</li>
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- <li><strong>Download the mod apk file:</strong> The next step is to download the mod apk file from the source that you have chosen. You will need to click on the download link or button and wait for the file to be downloaded on your device. The file size might vary depending on the source and the version of the mod apk file.</li>
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- <li><strong>Enable unknown sources:</strong> The third step is to enable unknown sources on your device. This will allow you to install apps that are not from the Google Play Store. To do this, you will need to go to your device settings and look for the security or privacy option. Then, you will need to toggle on the unknown sources option or check the box that says allow installation of apps from unknown sources.</li>
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- <p>While using Back Alley Tales Mod APK, you should also follow some tips and precautions to avoid any problems or issues. Some of these tips and precautions are:</p>
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- <li><strong>Backup your data:</strong> Before installing Back Alley Tales Mod APK, you should backup your data from the original version of the game. This will help you restore your progress and settings in case something goes wrong with the mod apk file. You can use a cloud service or a local storage device to backup your data.</li>
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- <p>Back Alley Tales is a thrilling puzzle game for Android devices that will keep you entertained and engaged for hours. The game has an immersive story, challenging puzzles, multiple endings, and stunning graphics. However, if you want to play the game without any limitations or problems, you might want to try Back Alley Tales Mod APK, a modified version of the game that will give you unlimited hints, unlocked chapters and endings, and no ads. However, using Back Alley Tales Mod APK also has some drawbacks and risks, such as less challenge and fun, potential malware and viruses, and possible bans and legal issues. Therefore, you should be careful and follow some steps, tips, and precautions when downloading and installing Back Alley Tales Mod APK on your device.</p>
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- <li>A: Back Alley Tales Mod APK is not completely safe to use, as it might contain malware or viruses that might harm your device or steal your data. It might also violate the terms and conditions of the game and the Google Play Store, which might result in bans or legal issues. Therefore, you should use it at your own risk and follow some precautions when using it.</li>
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- <li>A: To update Back Alley Tales Mod APK, you will need to download and install the latest version of the mod apk file from the same source that you have used before. You will also need to uninstall the previous version of the mod apk file before installing the new one. However, updating Back Alley Tales Mod APK might cause some issues or errors with the game, so you should backup your data before updating it.</li>
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- <li>A: To contact the game developers or report a bug, you can use the feedback or support option in the game settings. You can also visit their official website or social media pages and send them an email or a message. However, they might not respond to you if you are using Back Alley Tales Mod APK, as they do not support or endorse it.</li>
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spaces/2ndelement/voicevox/build_util/codesign.bash DELETED
@@ -1,49 +0,0 @@
1
- # !!! コードサイニング証明書を取り扱うので取り扱い注意 !!!
2
-
3
- set -eu
4
-
5
- if [ ! -v CERT_BASE64 ]; then
6
- echo "CERT_BASE64が未定義です"
7
- exit 1
8
- fi
9
- if [ ! -v CERT_PASSWORD ]; then
10
- echo "CERT_PASSWORDが未定義です"
11
- exit 1
12
- fi
13
-
14
- if [ $# -ne 1 ]; then
15
- echo "引数の数が一致しません"
16
- exit 1
17
- fi
18
- target_file_glob="$1"
19
-
20
- # 証明書
21
- CERT_PATH=cert.pfx
22
- echo -n "$CERT_BASE64" | base64 -d - > $CERT_PATH
23
-
24
- # 指定ファイルに署名する
25
- function codesign() {
26
- TARGET="$1"
27
- SIGNTOOL=$(find "C:/Program Files (x86)/Windows Kits/10/App Certification Kit" -name "signtool.exe" | sort -V | tail -n 1)
28
- powershell "& '$SIGNTOOL' sign /fd SHA256 /td SHA256 /tr http://timestamp.digicert.com /f $CERT_PATH /p $CERT_PASSWORD '$TARGET'"
29
- }
30
-
31
- # 指定ファイルが署名されているか
32
- function is_signed() {
33
- TARGET="$1"
34
- SIGNTOOL=$(find "C:/Program Files (x86)/Windows Kits/10/App Certification Kit" -name "signtool.exe" | sort -V | tail -n 1)
35
- powershell "& '$SIGNTOOL' verify /pa '$TARGET'" || return 1
36
- }
37
-
38
- # 署名されていなければ署名
39
- ls $target_file_glob | while read target_file; do
40
- if is_signed "$target_file"; then
41
- echo "署名済み: $target_file"
42
- else
43
- echo "署名: $target_file"
44
- codesign "$target_file"
45
- fi
46
- done
47
-
48
- # 証明書を消去
49
- rm $CERT_PATH
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/2ndelement/voicevox/build_util/process_voicevox_resource.bash DELETED
@@ -1,26 +0,0 @@
1
- set -eux
2
-
3
- if [ ! -v DOWNLOAD_RESOURCE_PATH ]; then
4
- echo "DOWNLOAD_RESOURCE_PATHが未定義です"
5
- exit 1
6
- fi
7
-
8
- rm -r speaker_info
9
- cp -r $DOWNLOAD_RESOURCE_PATH/character_info speaker_info
10
-
11
- python $DOWNLOAD_RESOURCE_PATH/scripts/clean_character_info.py \
12
- --character_info_dir speaker_info/
13
-
14
- # マニフェスト
15
- jq -s '.[0] * .[1]' engine_manifest.json $DOWNLOAD_RESOURCE_PATH/engine/engine_manifest.json \
16
- > engine_manifest.json.tmp
17
- mv engine_manifest.json.tmp engine_manifest.json
18
-
19
- python build_util/merge_update_infos.py \
20
- engine_manifest_assets/update_infos.json \
21
- $DOWNLOAD_RESOURCE_PATH/engine/engine_manifest_assets/update_infos.json \
22
- engine_manifest_assets/update_infos.json
23
-
24
- for f in $(ls $DOWNLOAD_RESOURCE_PATH/engine/engine_manifest_assets/* | grep -v update_infos.json); do
25
- cp $f ./engine_manifest_assets/
26
- done
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/801artistry/RVC801/app.py DELETED
The diff for this file is too large to render. See raw diff
 
spaces/AIGC-Audio/Make_An_Audio/wav_evaluation/models/clap.py DELETED
@@ -1,90 +0,0 @@
1
- import numpy as np
2
- import torch
3
- import torch.nn.functional as F
4
- from torch import nn
5
- from transformers import AutoModel
6
- from .audio import get_audio_encoder
7
-
8
- class Projection(nn.Module):
9
- def __init__(self, d_in: int, d_out: int, p: float=0.5) -> None:
10
- super().__init__()
11
- self.linear1 = nn.Linear(d_in, d_out, bias=False)
12
- self.linear2 = nn.Linear(d_out, d_out, bias=False)
13
- self.layer_norm = nn.LayerNorm(d_out)
14
- self.drop = nn.Dropout(p)
15
-
16
- def forward(self, x: torch.Tensor) -> torch.Tensor:
17
- embed1 = self.linear1(x)
18
- embed2 = self.drop(self.linear2(F.gelu(embed1)))
19
- embeds = self.layer_norm(embed1 + embed2)
20
- return embeds
21
-
22
- class AudioEncoder(nn.Module):
23
- def __init__(self, audioenc_name:str, d_in: int, d_out: int, sample_rate: int, window_size: int,
24
- hop_size: int, mel_bins: int, fmin: int, fmax: int, classes_num: int) -> None:
25
- super().__init__()
26
-
27
- audio_encoder = get_audio_encoder(audioenc_name)
28
-
29
- self.base = audio_encoder(
30
- sample_rate, window_size,
31
- hop_size, mel_bins, fmin, fmax,
32
- classes_num, d_in)
33
-
34
- self.projection = Projection(d_in, d_out)
35
-
36
- def forward(self, x):
37
- out_dict = self.base(x)
38
- audio_features, audio_classification_output = out_dict['embedding'], out_dict['clipwise_output']
39
- projected_vec = self.projection(audio_features)
40
- return projected_vec, audio_classification_output
41
-
42
- class TextEncoder(nn.Module):
43
- def __init__(self, d_out: int, text_model: str, transformer_embed_dim: int) -> None:
44
- super().__init__()
45
- self.base = AutoModel.from_pretrained(text_model)
46
-
47
- self.projection = Projection(transformer_embed_dim, d_out)
48
-
49
- def forward(self, x):
50
- out = self.base(**x)[0]
51
- out = out[:, 0, :] # get CLS token output
52
- projected_vec = self.projection(out)
53
- return projected_vec
54
-
55
- class CLAP(nn.Module):
56
- def __init__(self,
57
- # audio
58
- audioenc_name: str,
59
- sample_rate: int,
60
- window_size: int,
61
- hop_size: int,
62
- mel_bins: int,
63
- fmin: int,
64
- fmax: int,
65
- classes_num: int,
66
- out_emb: int,
67
- # text
68
- text_model: str,
69
- transformer_embed_dim: int,
70
- # common
71
- d_proj: int,
72
- ):
73
- super().__init__()
74
-
75
-
76
- self.audio_encoder = AudioEncoder(
77
- audioenc_name, out_emb, d_proj,
78
- sample_rate, window_size, hop_size, mel_bins, fmin, fmax, classes_num)
79
-
80
- self.caption_encoder = TextEncoder(
81
- d_proj, text_model, transformer_embed_dim
82
- )
83
-
84
- self.logit_scale = nn.Parameter(torch.ones([]) * np.log(1 / 0.07))
85
-
86
- def forward(self, audio, text):
87
- audio_embed, _ = self.audio_encoder(audio)
88
- caption_embed = self.caption_encoder(text)
89
-
90
- return caption_embed, audio_embed, self.logit_scale.exp()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_2_ProfileRecogition/mmpretrain/configs/resnet/resnet152_8xb32_in1k.py DELETED
@@ -1,4 +0,0 @@
1
- _base_ = [
2
- '../_base_/models/resnet152.py', '../_base_/datasets/imagenet_bs32.py',
3
- '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
4
- ]
 
 
 
 
 
spaces/Adapter/T2I-Adapter/ldm/models/autoencoder.py DELETED
@@ -1,211 +0,0 @@
1
- import torch
2
- import pytorch_lightning as pl
3
- import torch.nn.functional as F
4
- import torch.nn as nn
5
- from contextlib import contextmanager
6
-
7
- from ldm.modules.diffusionmodules.model import Encoder, Decoder
8
- from ldm.modules.distributions.distributions import DiagonalGaussianDistribution
9
-
10
- from ldm.util import instantiate_from_config
11
- from ldm.modules.ema import LitEma
12
-
13
-
14
- class AutoencoderKL(pl.LightningModule):
15
- def __init__(self,
16
- ddconfig,
17
- lossconfig,
18
- embed_dim,
19
- ckpt_path=None,
20
- ignore_keys=[],
21
- image_key="image",
22
- colorize_nlabels=None,
23
- monitor=None,
24
- ema_decay=None,
25
- learn_logvar=False
26
- ):
27
- super().__init__()
28
- self.learn_logvar = learn_logvar
29
- self.image_key = image_key
30
- self.encoder = Encoder(**ddconfig)
31
- self.decoder = Decoder(**ddconfig)
32
- self.loss = instantiate_from_config(lossconfig)
33
- assert ddconfig["double_z"]
34
- self.quant_conv = torch.nn.Conv2d(2*ddconfig["z_channels"], 2*embed_dim, 1)
35
- self.post_quant_conv = torch.nn.Conv2d(embed_dim, ddconfig["z_channels"], 1)
36
- self.embed_dim = embed_dim
37
- if colorize_nlabels is not None:
38
- assert type(colorize_nlabels)==int
39
- self.register_buffer("colorize", torch.randn(3, colorize_nlabels, 1, 1))
40
- if monitor is not None:
41
- self.monitor = monitor
42
-
43
- self.use_ema = ema_decay is not None
44
- if self.use_ema:
45
- self.ema_decay = ema_decay
46
- assert 0. < ema_decay < 1.
47
- self.model_ema = LitEma(self, decay=ema_decay)
48
- print(f"Keeping EMAs of {len(list(self.model_ema.buffers()))}.")
49
-
50
- if ckpt_path is not None:
51
- self.init_from_ckpt(ckpt_path, ignore_keys=ignore_keys)
52
-
53
- def init_from_ckpt(self, path, ignore_keys=list()):
54
- sd = torch.load(path, map_location="cpu")["state_dict"]
55
- keys = list(sd.keys())
56
- for k in keys:
57
- for ik in ignore_keys:
58
- if k.startswith(ik):
59
- print("Deleting key {} from state_dict.".format(k))
60
- del sd[k]
61
- self.load_state_dict(sd, strict=False)
62
- print(f"Restored from {path}")
63
-
64
- @contextmanager
65
- def ema_scope(self, context=None):
66
- if self.use_ema:
67
- self.model_ema.store(self.parameters())
68
- self.model_ema.copy_to(self)
69
- if context is not None:
70
- print(f"{context}: Switched to EMA weights")
71
- try:
72
- yield None
73
- finally:
74
- if self.use_ema:
75
- self.model_ema.restore(self.parameters())
76
- if context is not None:
77
- print(f"{context}: Restored training weights")
78
-
79
- def on_train_batch_end(self, *args, **kwargs):
80
- if self.use_ema:
81
- self.model_ema(self)
82
-
83
- def encode(self, x):
84
- h = self.encoder(x)
85
- moments = self.quant_conv(h)
86
- posterior = DiagonalGaussianDistribution(moments)
87
- return posterior
88
-
89
- def decode(self, z):
90
- z = self.post_quant_conv(z)
91
- dec = self.decoder(z)
92
- return dec
93
-
94
- def forward(self, input, sample_posterior=True):
95
- posterior = self.encode(input)
96
- if sample_posterior:
97
- z = posterior.sample()
98
- else:
99
- z = posterior.mode()
100
- dec = self.decode(z)
101
- return dec, posterior
102
-
103
- def get_input(self, batch, k):
104
- x = batch[k]
105
- if len(x.shape) == 3:
106
- x = x[..., None]
107
- x = x.permute(0, 3, 1, 2).to(memory_format=torch.contiguous_format).float()
108
- return x
109
-
110
- def training_step(self, batch, batch_idx, optimizer_idx):
111
- inputs = self.get_input(batch, self.image_key)
112
- reconstructions, posterior = self(inputs)
113
-
114
- if optimizer_idx == 0:
115
- # train encoder+decoder+logvar
116
- aeloss, log_dict_ae = self.loss(inputs, reconstructions, posterior, optimizer_idx, self.global_step,
117
- last_layer=self.get_last_layer(), split="train")
118
- self.log("aeloss", aeloss, prog_bar=True, logger=True, on_step=True, on_epoch=True)
119
- self.log_dict(log_dict_ae, prog_bar=False, logger=True, on_step=True, on_epoch=False)
120
- return aeloss
121
-
122
- if optimizer_idx == 1:
123
- # train the discriminator
124
- discloss, log_dict_disc = self.loss(inputs, reconstructions, posterior, optimizer_idx, self.global_step,
125
- last_layer=self.get_last_layer(), split="train")
126
-
127
- self.log("discloss", discloss, prog_bar=True, logger=True, on_step=True, on_epoch=True)
128
- self.log_dict(log_dict_disc, prog_bar=False, logger=True, on_step=True, on_epoch=False)
129
- return discloss
130
-
131
- def validation_step(self, batch, batch_idx):
132
- log_dict = self._validation_step(batch, batch_idx)
133
- with self.ema_scope():
134
- log_dict_ema = self._validation_step(batch, batch_idx, postfix="_ema")
135
- return log_dict
136
-
137
- def _validation_step(self, batch, batch_idx, postfix=""):
138
- inputs = self.get_input(batch, self.image_key)
139
- reconstructions, posterior = self(inputs)
140
- aeloss, log_dict_ae = self.loss(inputs, reconstructions, posterior, 0, self.global_step,
141
- last_layer=self.get_last_layer(), split="val"+postfix)
142
-
143
- discloss, log_dict_disc = self.loss(inputs, reconstructions, posterior, 1, self.global_step,
144
- last_layer=self.get_last_layer(), split="val"+postfix)
145
-
146
- self.log(f"val{postfix}/rec_loss", log_dict_ae[f"val{postfix}/rec_loss"])
147
- self.log_dict(log_dict_ae)
148
- self.log_dict(log_dict_disc)
149
- return self.log_dict
150
-
151
- def configure_optimizers(self):
152
- lr = self.learning_rate
153
- ae_params_list = list(self.encoder.parameters()) + list(self.decoder.parameters()) + list(
154
- self.quant_conv.parameters()) + list(self.post_quant_conv.parameters())
155
- if self.learn_logvar:
156
- print(f"{self.__class__.__name__}: Learning logvar")
157
- ae_params_list.append(self.loss.logvar)
158
- opt_ae = torch.optim.Adam(ae_params_list,
159
- lr=lr, betas=(0.5, 0.9))
160
- opt_disc = torch.optim.Adam(self.loss.discriminator.parameters(),
161
- lr=lr, betas=(0.5, 0.9))
162
- return [opt_ae, opt_disc], []
163
-
164
- def get_last_layer(self):
165
- return self.decoder.conv_out.weight
166
-
167
- @torch.no_grad()
168
- def log_images(self, batch, only_inputs=False, log_ema=False, **kwargs):
169
- log = dict()
170
- x = self.get_input(batch, self.image_key)
171
- x = x.to(self.device)
172
- if not only_inputs:
173
- xrec, posterior = self(x)
174
- if x.shape[1] > 3:
175
- # colorize with random projection
176
- assert xrec.shape[1] > 3
177
- x = self.to_rgb(x)
178
- xrec = self.to_rgb(xrec)
179
- log["samples"] = self.decode(torch.randn_like(posterior.sample()))
180
- log["reconstructions"] = xrec
181
- log["inputs"] = x
182
- return log
183
-
184
- def to_rgb(self, x):
185
- assert self.image_key == "segmentation"
186
- if not hasattr(self, "colorize"):
187
- self.register_buffer("colorize", torch.randn(3, x.shape[1], 1, 1).to(x))
188
- x = F.conv2d(x, weight=self.colorize)
189
- x = 2.*(x-x.min())/(x.max()-x.min()) - 1.
190
- return x
191
-
192
-
193
- class IdentityFirstStage(nn.Module):
194
- def __init__(self, *args, vq_interface=False, **kwargs):
195
- self.vq_interface = vq_interface
196
- super().__init__()
197
-
198
- def encode(self, x, *args, **kwargs):
199
- return x
200
-
201
- def decode(self, x, *args, **kwargs):
202
- return x
203
-
204
- def quantize(self, x, *args, **kwargs):
205
- if self.vq_interface:
206
- return x, None, [None, None, None]
207
- return x
208
-
209
- def forward(self, x, *args, **kwargs):
210
- return x
211
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/badgelabel/Factory.js DELETED
@@ -1,13 +0,0 @@
1
- import BadgeLabel from './BadgeLabel.js';
2
- import ObjectFactory from '../ObjectFactory.js';
3
- import SetValue from '../../../plugins/utils/object/SetValue.js';
4
-
5
- ObjectFactory.register('badgeLabel', function (config) {
6
- var gameObject = new BadgeLabel(this.scene, config);
7
- this.scene.add.existing(gameObject);
8
- return gameObject;
9
- });
10
-
11
- SetValue(window, 'RexPlugins.UI.BadgeLabel', BadgeLabel);
12
-
13
- export default BadgeLabel;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Amrrs/DragGan-Inversion/stylegan_human/pti/training/coaches/multi_id_coach.py DELETED
@@ -1,80 +0,0 @@
1
- # Copyright (c) SenseTime Research. All rights reserved.
2
-
3
- import os
4
-
5
- import torch
6
- from tqdm import tqdm
7
-
8
- from pti.pti_configs import paths_config, hyperparameters, global_config
9
- from pti.training.coaches.base_coach import BaseCoach
10
- from utils.log_utils import log_images_from_w
11
-
12
-
13
- class MultiIDCoach(BaseCoach):
14
-
15
- def __init__(self, data_loader, use_wandb):
16
- super().__init__(data_loader, use_wandb)
17
-
18
- def train(self):
19
- self.G.synthesis.train()
20
- self.G.mapping.train()
21
-
22
- w_path_dir = f'{paths_config.embedding_base_dir}/{paths_config.input_data_id}'
23
- os.makedirs(w_path_dir, exist_ok=True)
24
- os.makedirs(
25
- f'{w_path_dir}/{paths_config.pti_results_keyword}', exist_ok=True)
26
-
27
- use_ball_holder = True
28
- w_pivots = []
29
- images = []
30
-
31
- for fname, image in self.data_loader:
32
- if self.image_counter >= hyperparameters.max_images_to_invert:
33
- break
34
-
35
- image_name = fname[0]
36
- if hyperparameters.first_inv_type == 'w+':
37
- embedding_dir = f'{w_path_dir}/{paths_config.e4e_results_keyword}/{image_name}'
38
- else:
39
- embedding_dir = f'{w_path_dir}/{paths_config.pti_results_keyword}/{image_name}'
40
- os.makedirs(embedding_dir, exist_ok=True)
41
-
42
- w_pivot = self.get_inversion(w_path_dir, image_name, image)
43
- w_pivots.append(w_pivot)
44
- images.append((image_name, image))
45
- self.image_counter += 1
46
-
47
- for i in tqdm(range(hyperparameters.max_pti_steps)):
48
- self.image_counter = 0
49
-
50
- for data, w_pivot in zip(images, w_pivots):
51
- image_name, image = data
52
-
53
- if self.image_counter >= hyperparameters.max_images_to_invert:
54
- break
55
-
56
- real_images_batch = image.to(global_config.device)
57
-
58
- generated_images = self.forward(w_pivot)
59
- loss, l2_loss_val, loss_lpips = self.calc_loss(generated_images, real_images_batch, image_name,
60
- self.G, use_ball_holder, w_pivot)
61
-
62
- self.optimizer.zero_grad()
63
- loss.backward()
64
- self.optimizer.step()
65
-
66
- use_ball_holder = global_config.training_step % hyperparameters.locality_regularization_interval == 0
67
-
68
- global_config.training_step += 1
69
- self.image_counter += 1
70
-
71
- if self.use_wandb:
72
- log_images_from_w(w_pivots, self.G, [image[0] for image in images])
73
-
74
- # torch.save(self.G,
75
- # f'{paths_config.checkpoints_dir}/model_{global_config.run_name}_multi_id.pt')
76
- snapshot_data = dict()
77
- snapshot_data['G_ema'] = self.G
78
- import pickle
79
- with open(f'{paths_config.checkpoints_dir}/model_{global_config.run_name}_multi_id.pkl', 'wb') as f:
80
- pickle.dump(snapshot_data, f)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Andy1621/uniformer_image_detection/configs/fsaf/fsaf_r101_fpn_1x_coco.py DELETED
@@ -1,2 +0,0 @@
1
- _base_ = './fsaf_r50_fpn_1x_coco.py'
2
- model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101))
 
 
 
spaces/Andy1621/uniformer_image_detection/configs/gfl/gfl_r101_fpn_mstrain_2x_coco.py DELETED
@@ -1,12 +0,0 @@
1
- _base_ = './gfl_r50_fpn_mstrain_2x_coco.py'
2
- model = dict(
3
- pretrained='torchvision://resnet101',
4
- backbone=dict(
5
- type='ResNet',
6
- depth=101,
7
- num_stages=4,
8
- out_indices=(0, 1, 2, 3),
9
- frozen_stages=1,
10
- norm_cfg=dict(type='BN', requires_grad=True),
11
- norm_eval=True,
12
- style='pytorch'))
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Andy1621/uniformer_image_segmentation/configs/ann/ann_r50-d8_512x512_40k_voc12aug.py DELETED
@@ -1,6 +0,0 @@
1
- _base_ = [
2
- '../_base_/models/ann_r50-d8.py', '../_base_/datasets/pascal_voc12_aug.py',
3
- '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
4
- ]
5
- model = dict(
6
- decode_head=dict(num_classes=21), auxiliary_head=dict(num_classes=21))
 
 
 
 
 
 
 
spaces/Andy1621/uniformer_image_segmentation/configs/dmnet/dmnet_r101-d8_769x769_80k_cityscapes.py DELETED
@@ -1,2 +0,0 @@
1
- _base_ = './dmnet_r50-d8_769x769_80k_cityscapes.py'
2
- model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
 
 
 
spaces/Andy1621/uniformer_image_segmentation/configs/fcn/fcn_r18b-d8_769x769_80k_cityscapes.py DELETED
@@ -1,9 +0,0 @@
1
- _base_ = './fcn_r50-d8_769x769_80k_cityscapes.py'
2
- model = dict(
3
- pretrained='torchvision://resnet18',
4
- backbone=dict(type='ResNet', depth=18),
5
- decode_head=dict(
6
- in_channels=512,
7
- channels=128,
8
- ),
9
- auxiliary_head=dict(in_channels=256, channels=64))
 
 
 
 
 
 
 
 
 
 
spaces/AndyCer/TheBloke-stable-vicuna-13B-HF/README.md DELETED
@@ -1,12 +0,0 @@
1
- ---
2
- title: TheBloke Stable Vicuna 13B HF
3
- emoji: 🏆
4
- colorFrom: gray
5
- colorTo: pink
6
- sdk: gradio
7
- sdk_version: 3.29.0
8
- app_file: app.py
9
- pinned: false
10
- ---
11
-
12
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Arthur678/vits-uma-genshin-honkai/Docker/vits.sh DELETED
@@ -1,20 +0,0 @@
1
- #!/bin/bash
2
- run() {
3
- echo -e "\033[32m已完成初始化,启动服务...\033[0m"
4
- python3 /app/vits-uma-genshin-honkai/app.py
5
- }
6
- install() {
7
- echo -e "\033[33m正在初始化:安装依赖....\033[0m"
8
- pip install -r /app/vits-uma-genshin-honkai/requirements.txt -i https://mirrors.ustc.edu.cn/pypi/web/simple
9
- echo -e "\033[33m正在下载模型....\033[0m"
10
- rm -f /app/vits-uma-genshin-honkai/model/G_953000.pth
11
- wget -O /app/vits-uma-genshin-honkai/model/G_953000.pth https://huggingface.co/spaces/ikechan8370/vits-uma-genshin-honkai/resolve/main/model/G_953000.pth
12
- echo -e "\033[32m初始化完成!\033[0m"
13
- run
14
- }
15
-
16
- if [ ! -f "/app/vits-uma-genshin-honkai/model/G_953000.pth" ] || [ "$(stat -c%s "/app/vits-uma-genshin-honkai/model/G_953000.pth")" -lt 10000 ]; then
17
- install
18
- else
19
- run
20
- fi
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Artples/LLaMA-2-CHAT/run-app.sh DELETED
@@ -1 +0,0 @@
1
- nodemon -w app.py -x python app.py
 
 
spaces/Atharv23m/Human-Stress-Detection/README.md DELETED
@@ -1,13 +0,0 @@
1
- ---
2
- title: Human Stress Detection
3
- emoji: 🐠
4
- colorFrom: indigo
5
- colorTo: purple
6
- sdk: gradio
7
- sdk_version: 3.36.1
8
- app_file: app.py
9
- pinned: false
10
- license: gpl
11
- ---
12
-
13
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Awiny/Image2Paragraph/models/grit_src/third_party/CenterNet2/tests/modeling/__init__.py DELETED
File without changes
spaces/Babelscape/rebel-demo/app.py DELETED
@@ -1,104 +0,0 @@
1
- import streamlit as st
2
- from datasets import load_dataset
3
- from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
4
- from time import time
5
- import torch
6
-
7
- @st.cache(
8
- allow_output_mutation=True,
9
- hash_funcs={
10
- AutoTokenizer: lambda x: None,
11
- AutoModelForSeq2SeqLM: lambda x: None,
12
- },
13
- suppress_st_warning=True
14
- )
15
- def load_models():
16
- st_time = time()
17
- tokenizer = AutoTokenizer.from_pretrained("Babelscape/rebel-large")
18
- print("+++++ loading Model", time() - st_time)
19
- model = AutoModelForSeq2SeqLM.from_pretrained("Babelscape/rebel-large")
20
- if torch.cuda.is_available():
21
- _ = model.to("cuda:0") # comment if no GPU available
22
- _ = model.eval()
23
- print("+++++ loaded model", time() - st_time)
24
- dataset = load_dataset('Babelscape/rebel-dataset', split="validation", streaming=True)
25
- dataset = [example for example in dataset.take(1001)]
26
- return (tokenizer, model, dataset)
27
-
28
- def extract_triplets(text):
29
- triplets = []
30
- relation, subject, relation, object_ = '', '', '', ''
31
- text = text.strip()
32
- current = 'x'
33
- for token in text.split():
34
- if token == "<triplet>":
35
- current = 't'
36
- if relation != '':
37
- triplets.append({'head': subject.strip(), 'type': relation.strip(),'tail': object_.strip()})
38
- relation = ''
39
- subject = ''
40
- elif token == "<subj>":
41
- current = 's'
42
- if relation != '':
43
- triplets.append({'head': subject.strip(), 'type': relation.strip(),'tail': object_.strip()})
44
- object_ = ''
45
- elif token == "<obj>":
46
- current = 'o'
47
- relation = ''
48
- else:
49
- if current == 't':
50
- subject += ' ' + token
51
- elif current == 's':
52
- object_ += ' ' + token
53
- elif current == 'o':
54
- relation += ' ' + token
55
- if subject != '' and relation != '' and object_ != '':
56
- triplets.append({'head': subject.strip(), 'type': relation.strip(),'tail': object_.strip()})
57
- return triplets
58
-
59
- st.markdown("""This is a demo for the Findings of EMNLP 2021 paper [REBEL: Relation Extraction By End-to-end Language generation](https://github.com/Babelscape/rebel/blob/main/docs/EMNLP_2021_REBEL__Camera_Ready_.pdf). The pre-trained model is able to extract triplets for up to 200 relation types from Wikidata or be used in downstream Relation Extraction task by fine-tuning. Find the model card [here](https://huggingface.co/Babelscape/rebel-large). Read more about it in the [paper](https://aclanthology.org/2021.findings-emnlp.204) and in the original [repository](https://github.com/Babelscape/rebel).""")
60
-
61
- tokenizer, model, dataset = load_models()
62
-
63
- agree = st.checkbox('Free input', False)
64
- if agree:
65
- text = st.text_input('Input text', 'Punta Cana is a resort town in the municipality of Higüey, in La Altagracia Province, the easternmost province of the Dominican Republic.')
66
- print(text)
67
- else:
68
- dataset_example = st.slider('dataset id', 0, 1000, 0)
69
- text = dataset[dataset_example]['context']
70
- length_penalty = st.slider('length_penalty', 0, 10, 0)
71
- num_beams = st.slider('num_beams', 1, 20, 3)
72
- num_return_sequences = st.slider('num_return_sequences', 1, num_beams, 2)
73
-
74
- gen_kwargs = {
75
- "max_length": 256,
76
- "length_penalty": length_penalty,
77
- "num_beams": num_beams,
78
- "num_return_sequences": num_return_sequences,
79
- }
80
-
81
- model_inputs = tokenizer(text, max_length=256, padding=True, truncation=True, return_tensors = 'pt')
82
- generated_tokens = model.generate(
83
- model_inputs["input_ids"].to(model.device),
84
- attention_mask=model_inputs["attention_mask"].to(model.device),
85
- **gen_kwargs,
86
- )
87
-
88
- decoded_preds = tokenizer.batch_decode(generated_tokens, skip_special_tokens=False)
89
- st.title('Input text')
90
-
91
- st.write(text)
92
-
93
- if not agree:
94
- st.title('Silver output')
95
- st.write(dataset[dataset_example]['triplets'])
96
- st.write(extract_triplets(dataset[dataset_example]['triplets']))
97
-
98
- st.title('Prediction text')
99
- decoded_preds = [text.replace('<s>', '').replace('</s>', '').replace('<pad>', '') for text in decoded_preds]
100
- st.write(decoded_preds)
101
-
102
- for idx, sentence in enumerate(decoded_preds):
103
- st.title(f'Prediction triplets sentence {idx}')
104
- st.write(extract_triplets(sentence))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/BasToTheMax/openai-whisper-large-v2/app.py DELETED
@@ -1,3 +0,0 @@
1
- import gradio as gr
2
-
3
- gr.Interface.load("models/openai/whisper-large-v2").launch()
 
 
 
 
spaces/Benson/text-generation/Examples/Bus Simulator Ultimate Apk Money Trick Happymod Download.md DELETED
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-
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- <p>Si usted es un fan de los juegos de simulación, especialmente los juegos de conducción de autobuses, es posible que haya oído hablar de Bus Simulator Ultimate. Este juego es uno de los juegos de simulación de bus más populares y realistas del mercado, con más de 300 millones de descargas en todo el mundo. Pero, ¿qué pasa si quieres disfrutar del juego sin limitaciones ni restricciones? ¿Qué pasa si quieres tener dinero y oro ilimitados, acceso a todos los autobuses y mejoras, y jugar con otros jugadores en línea? Bueno, hay una manera de hacer eso, y se llama simulador de bus final apk para hilesi happymod indir. </p>
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- <h2>¿Qué es Bus Simulator Ultimate? </h2>
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- <p>Bus Simulator Ultimate es un juego desarrollado por Zuuks Games, los creadores de Truck Simulator: Ultimate. En este juego, puede crear su propia empresa de autobuses y convertirse en la corporación de autobuses más grande del mundo. Puede elegir entre más de 30 autobuses diferentes, incluidos los modelos oficiales de Mercedes-Benz, Setra y Travego. También puede personalizar sus autobuses con varios colores, pegatinas y accesorios. Puede conducir sus autobuses a través de más de 20 países y regiones, como los Estados Unidos, Reino Unido, China, Canadá, Rusia, Alemania, Italia, Francia, España, Países Bajos, Turquía, Corea del Sur, Japón, Brasil, Azerbaiyán, Bélgica, Bulgaria, República Checa, República Dominicana, Indonesia, Filipinas, Sudáfrica, India, Hong Kong, Irlanda, Israel, Qatar, Malasia, Tailandia, Taiwán y más. También puede crear sus propias rutas y terminales utilizando el editor de mapas. Puede interactuar con sus pasajeros y proporcionarles reacciones sociales y realistas. También puede administrar su negocio contratando empleados, alquilando oficinas, comprando nuevos autobuses y obteniendo ganancias. </p>
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- <h2>¿Qué es Happymod y cómo funciona? </h2>
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-
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- <p>Happymod funciona permitiendo a los usuarios descargar e instalar mods o apks desde su sitio web o aplicación. Los usuarios también pueden subir sus propios mods o apks para compartir con otros usuarios. Los usuarios también pueden calificar y revisar mods o apks en función de su calidad y funcionalidad. Happymod afirma tener más de 3 millones de mods o apks para más de 500 mil juegos y aplicaciones. </p>
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- <h2>¿Cuáles son los beneficios de usar Bus Simulator Ultimate Apk Para Hilesi Happymod Indir? </h2>
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- <p>Simulador de bus ultimate <p>Simulador de bus ultimate apk para hilesi happymod indir es un mod o apk que le da varios beneficios al jugar Bus Simulator Ultimate. Algunos de estos beneficios son:</p>
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- <h3>Dinero y oro ilimitados</h3>
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- <p>Con este mod o apk, tendrá dinero y oro ilimitados en su cuenta. Puede utilizarlos para comprar autobuses nuevos, mejorar sus autobuses, contratar empleados, alquilar oficinas y más. No tendrás que preocuparte por quedarte sin dinero ni oro nunca más. También puedes disfrutar del juego sin anuncios ni compras en la aplicación. </p>
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- <p></p>
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- <h3>Todos los autobuses desbloqueados y actualizados</h3>
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- <p>Con este mod o apk, usted tendrá acceso a todos los autobuses en el juego, incluyendo los modelos oficiales de Mercedes-Benz, Setra, y Travego. También puede actualizar sus autobuses al máximo nivel, con mayor velocidad, aceleración, frenado, manejo y eficiencia de combustible. También puede personalizar sus autobuses con varios colores, pegatinas y accesorios. </p>
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- <h3>Modo multijugador habilitado</h3>
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- <p>Con este mod o apk, usted será capaz de jugar con otros jugadores en línea en el modo multijugador. Puede unirse o crear su propia empresa de autobuses y competir con otras empresas. También puede chatear con otros jugadores y compartir sus experiencias. También puedes invitar a tus amigos a jugar contigo y divertirse juntos. </p>
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- <h3>Gráficos realistas y efectos de sonido</h3>
20
-
21
- <h3>Rutas y terminales personalizables</h3>
22
- <p>Con este mod o apk, podrás crear tus propias rutas y terminales usando el editor de mapas. Puede elegir entre más de 20 países y regiones, como los Estados Unidos, Reino Unido, China, Canadá, Rusia, Alemania, Italia, Francia, España, Países Bajos, Turquía, Corea del Sur, Japón, Brasil, Azerbaiyán, Bélgica, Bulgaria, República Checa, República Dominicana, Indonesia, Filipinas, Sudáfrica, India, Hong Kong, Irlanda, Israel, Qatar Malasia, Tailandia, Taiwán y más. También puedes ajustar la longitud y la dificultad de tus rutas. También puede diseñar sus propios terminales con varios edificios, instalaciones y decoraciones. </p>
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- <h3>Sistema de pasajeros y servicio de host</h3>
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- <p>Con este mod o apk, podrás interactuar con tus pasajeros y proporcionarles reacciones sociales y realistas. También puede ofrecerles servicio de alojamiento, como aperitivos, bebidas, periódicos, revistas, wifi y entretenimiento. También puede recibir comentarios y valoraciones de sus pasajeros. También puede ver el número de pasajeros, sus nombres y sus destinos en la pantalla. </p>
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- <h2>Cómo descargar e instalar Bus Simulator Ultimate Apk Para Hilesi Happymod Indir? </h2>
26
- <p>Si desea descargar e instalar el simulador de bus ultimate apk para hilesi happymod indir, puede seguir estos sencillos pasos:</p>
27
- <ol>
28
- <li>Ir a la página web happymod o aplicación y la búsqueda de simulador de autobús final apk para hilesi happymod indir. </li>
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- <li>Seleccione el mod o apk que desea descargar y haga clic en el botón de descarga. </li>
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- <li>Espere a que termine la descarga y luego localice el archivo en su dispositivo. </li>
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- <li>Habilitar la instalación de fuentes desconocidas en la configuración del dispositivo. </li>
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- <li>Toque en el archivo y siga las instrucciones para instalarlo. </li>
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- <li>Iniciar el juego y disfrutar de los beneficios del simulador de autobús apk final para hilesi happymod indir. </li>
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- </ol>
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- <h2>Cómo utilizar Bus Simulator Ultimate Apk Para Hilesi Happymod Indir? </h2>
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-
37
- <ol>
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- <li>Abre el juego y crea tu cuenta o inicia sesión con tu cuenta existente. </li>
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- <li>Seleccione el modo que desea jugar: un solo jugador o multijugador. </li>
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- <li>Seleccione el autobús que desea conducir: puede elegir entre más de 30 autobuses diferentes, incluidos los modelos oficiales de Mercedes-Benz, Setra y Travego. </li>
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- <li>Seleccione la ruta que desea conducir: puede elegir entre más de 20 países y regiones, o crear su propia ruta utilizando el editor de mapas. </li>
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- <li>Seleccione el terminal desde el que desea comenzar: puede elegir entre varios terminales o crear su propio terminal usando el editor de mapas. </li>
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- <li>Comience a conducir su autobús y siga las reglas de tráfico y señales: puede usar el volante, los pedales, los botones o los controles de inclinación para controlar su autobús. </li>
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- <li>Interactúa con tus pasajeros y ofréceles un servicio de anfitrión: puedes ver sus nombres, destinos, comentarios y valoraciones en la pantalla. </li>
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- <li>Gane dinero y oro completando sus rutas y satisfaciendo a sus pasajeros: puede usarlos para comprar autobuses nuevos, mejorar sus autobuses, contratar empleados, alquilar oficinas y más. </li>
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- </ol> <h2>Conclusión</h2>
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- <p>Bus simulador final apk para hilesi happymod indir es una gran manera de disfrutar de Bus Simulator Ultimate sin limitaciones o restricciones. Puedes tener dinero y oro ilimitados, acceso a todos los autobuses y mejoras, y jugar con otros jugadores en línea. También puede experimentar gráficos realistas y efectos de sonido, rutas y terminales personalizables, y sistema de pasajeros y servicio de host. Puede descargar e instalar el simulador de bus último apk para hilesi happymod indir desde el sitio web happymod o aplicación, y utilizarlo fácilmente siguiendo las instrucciones. Si usted es un fan de los juegos de simulación, especialmente los juegos de conducción de autobuses, usted debe probar definitivamente simulador de autobús apk final para hilesi happymod indir. </p>
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- <h2>Preguntas frecuentes</h2>
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- <p>Aquí hay algunas preguntas frecuentes sobre el simulador de bus apk final para hilesi happymod indir:</p>
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-
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- <p>Sí, simulador de bus último apk para hilesi happymod indir es seguro de usar, siempre y cuando se descarga desde el sitio web oficial happymod o aplicación. Happymod afirma escanear todos los mods o apks en busca de virus y malware antes de subirlos a su plataforma. Sin embargo, siempre debe tener cuidado al descargar e instalar archivos de fuentes desconocidas y usar un software antivirus confiable en su dispositivo. </p>
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- <h3>Es Bus Simulator Ultimate Apk Para Hilesi Happymod Indir compatible con todos los dispositivos? </h3>
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- <p>No, el simulador de bus ultimate apk para hilesi happymod indir puede no ser compatible con todos los dispositivos. Algunos dispositivos pueden no soportar el mod o apk, o pueden experimentar algunos fallos o errores al ejecutarlo. Usted debe comprobar la compatibilidad de su dispositivo antes de descargar e instalar el simulador de bus final apk para hilesi happymod indir. También debes asegurarte de que tu dispositivo tenga suficiente espacio de almacenamiento y memoria para ejecutar el juego sin problemas. </p>
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- <h3>Cómo actualizar Bus Simulator Ultimate Apk Para Hilesi Happymod Indir? </h3>
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- <p>Para actualizar el simulador de bus último apk para hilesi happymod indir, es necesario visitar el sitio web happymod o aplicación y comprobar la última versión del mod o apk. También puede habilitar la función de actualización automática en la aplicación happymod para recibir notificaciones cuando esté disponible una nueva versión. A continuación, puede descargar e instalar la nueva versión del simulador de bus final apk para hilesi happymod indir, y disfrutar de las nuevas características y mejoras. </p>
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- <h3>Cómo ponerse en contacto con los desarrolladores de Bus Simulator Ultimate Apk Para Hilesi Happymod Indir? </h3>
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-
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- <h3>¿Dónde puedo encontrar más información sobre Bus Simulator Ultimate Apk Para Hilesi Happymod Indir? </h3>
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- <p>Si desea encontrar más información sobre el simulador de bus apk final para hilesi happymod indir, puede visitar el sitio web o aplicación happymod y leer la descripción, detalles, capturas de pantalla, vídeos, calificaciones, comentarios, y preguntas frecuentes del mod o apk. También puede visitar el sitio web oficial de Bus Simulator Ultimate y leer las noticias, blogs, foros, guías, consejos, trucos y preguntas frecuentes del juego. También puede ver algunos videos de juego o tutoriales de bus simulador apk final para hilesi happymod indir en YouTube u otras plataformas. </p> 64aa2da5cf<br />
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- <br />
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- <br />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Benson/text-generation/Examples/Ciudad Coche Juego Descargar Apk.md DELETED
@@ -1,172 +0,0 @@
1
- <br />
2
- <h1>Ninja Fight: La guía definitiva para el arte del Shinobi</h1>
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- <p>Si alguna vez te has preguntado qué se necesita para ser un ninja, o cómo luchar como uno, entonces este artículo es para ti. La lucha ninja no es solo una cuestión de lanzar estrellas y usar ropa negra. Es un arte complejo y sofisticado que combina habilidades físicas, mentales y espirituales. En este artículo, aprenderás sobre la historia, los fundamentos, las técnicas avanzadas y los desafíos de la lucha ninja. También encontrará algunas preguntas frecuentes que responderán algunas de sus preguntas candentes sobre este fascinante tema. </p>
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- <h2>Introducción</h2>
6
- <p>¿Qué es un ninja y cuáles son sus habilidades y armas? </p>
7
- <p>Un ninja (忍 者) o shinobi (忍 び) era un agente encubierto, mercenario o experto en guerra de guerrillas en el Japón feudal. Las funciones de un ninja incluían asedio e infiltración, emboscada, reconocimiento, espionaje, engaño y más tarde guardaespaldas. También tenían habilidades de lucha en las artes marciales, especialmente ninjutsu (忍 術), que significa "el arte del sigilo". </p>
8
- <p>Un ninja usaba una variedad de armas y herramientas, dependiendo de su misión y preferencia. Algunas de las más comunes eran:</p>
9
- <p></p>
10
- <ul>
11
- <li>La espada (ninjato), que era más corta y menos curva que la espada samurái (katana), y a menudo tenía un compartimiento oculto en la vaina para almacenar otros artículos. </li>
12
- <li>La estrella lanzadora (shuriken), que era un proyectil de metal con bordes afilados que se podía lanzar a los enemigos o utilizar como distracción. </li>
13
- <li>La cadena (kusari), que era un arma flexible que se podía utilizar para enredar, golpear o estrangular a los oponentes. </li>
14
- <li>El pico (shuko), que era una garra de metal que se usaba en las manos o los pies que se podía usar para escalar, cortar o perforar. </li>
15
- <li>La cerbatana (fukiya), que era un tubo hueco que podía disparar dardos o agujas recubiertas de veneno o explosivos. </li>
16
- </ul>
17
- <p>¿Por qué la lucha ninja es diferente de otras artes marciales? </p>
18
-
19
- <p>¿Cuáles son los beneficios de aprender técnicas ninja? </p>
20
- <p>Aprender técnicas ninja puede tener muchos beneficios para tu cuerpo, mente y espíritu. Algunos de los beneficios son:</p>
21
- <ul>
22
- <li>Puedes mejorar tu condición física, agilidad, flexibilidad, equilibrio, coordinación y resistencia. </li>
23
- <li>Puedes desarrollar tus habilidades mentales, como concentración, conciencia, memoria, resolución de problemas y toma de decisiones. </li>
24
- <li>Puedes mejorar tus cualidades espirituales, tales como coraje, confianza, calma y compasión. </li>
25
- <li>Puedes aprender a protegerte a ti mismo y a otros del daño o el peligro. </li>
26
- <li>Puedes divertirte y disfrutar del reto de aprender algo nuevo y emocionante. </li>
27
- </ul>
28
- <h2>La historia de la lucha ninja</h2>
29
- <p>¿Cómo se desarrolló la lucha ninja en el Japón feudal? </p>
30
- <p>La lucha ninja se desarrolló en el Japón feudal como respuesta a la agitación social y política que asoló el país desde el siglo XII hasta el siglo XIX. Durante este período, Japón se dividió en estados en guerra gobernados por señores feudales (daimyo) que lucharon por el poder y la tierra. Los samuráis eran los guerreros que servían al daimyo y seguían un estricto código de lealtad y honor. Los ninja eran los forasteros que no pertenecían a ningún clan o clase, y a menudo trabajaban como espías o asesinos a sueldo. </p>
31
- <p>Los orígenes de la lucha ninja se remontan a las regiones montañosas de Iga y Koga en el centro de Japón, donde los clanes locales practicaban la guerra de guerrillas contra los invasores. Estos clanes desarrollaron sus propias técnicas de supervivencia y combate basadas en su entorno natural y sus recursos. También aprendieron de otras fuentes, como las artes marciales chinas, el budismo, el sintoísmo y el taoísmo. Finalmente formaron sus propias escuelas de ninjutsu que enseñaban no solo habilidades de lucha, sino también filosofía, estrategia, medicina, astrología y magia. </p>
32
- <p>¿Cuáles son las principales escuelas y estilos de ninjutsu? </p>
33
-
34
- <tabla>
35
- <tr><th>Escuela</th><th>Fundador</th><th>Características</th></tr>
36
- <tr><td>Togakure-ryu</td><td>Daisuke Nishina</td><td>Enfatiza las técnicas de sigilo, evasión, engaño y escape. Utiliza armas como shuriken, shuko, kusari-fundo (cadena ponderada), kyoketsu-shoge (hoja enganchada con cuerda), y shinobi-zue (caña con hoja oculta). </td></tr>
37
- <tr><td>Kumogakure-ryu</td><td>Heinaizaemon Ienaga Iga</td><td>Enfatiza las habilidades de escalada y las técnicas aéreas. Utiliza armas como kamayari (lanza enganchada), nagenawa (cuerda de lanzamiento), kaginawa (gancho de agarre), y zaru (cesta de bambú). </td></tr>
38
- <tr><td>Gyokushin-ryu</td><td>Sasaki Goemon Teruyoshi</td><td>Enfatiza las habilidades de espionaje y la recolección de información. Utiliza armas como fukiya (cerbatana), tanto (daga), kusarigama (hoz con cadena), y kakute (anillo con púas). </td></tr>
39
- <tr><td>Koto-ryu</td><td>Sakagami Taro Kunishige</td><td>Enfatiza habilidades sorprendentes y técnicas de combate cercano. Usa armas como katana (espada), yari (lanza), naginata (alabarda) y yutte (porra de hierro). </td></tr>
40
- <tr><td>Gikan-ryu</td><td>Uryu Hangan Gikanbo</td><td>Enfatiza las habilidades de lealtad y los principios morales. Utiliza armas como tessen (abanico de hierro), jitte (porra de hierro), kusari-gama (hoz con cadena), y bisento (alabarda grande). </td></tr>
41
- </tabla>
42
- <p>¿Cómo evolucionó la lucha ninja en los tiempos modernos? </p>
43
- <p>La lucha ninja evolucionó en los tiempos modernos como resultado de las cambiantes circunstancias sociales e históricas que afectaron a Japón. Después de la Restauración Meiji en 1868, Japón sufrió un proceso de modernización y occidentalización que abolió el sistema feudal y la clase samurái. Los ninja perdieron a sus principales empleadores y tuvieron que adaptarse a la nueva sociedad. Algunos de ellos se convirtieron en oficiales de policía, soldados o espías para el gobierno, mientras que otros se convirtieron en criminales, rebeldes o forajidos. Algunos de ellos también preservaron sus tradiciones y las transmitieron a sus descendientes o estudiantes. </p>
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- <p>En el siglo XXI, Japón se enfrenta a nuevos problemas como la globalización, el ecologismo y la innovación tecnológica. Los ninja también se están adaptando a estos cambios y encontrando nuevas formas de expresar su arte y espíritu. Algunos de ellos están utilizando internet, redes sociales y plataformas digitales para compartir su información y experiencias con el mundo. Algunos de ellos también están explorando nuevos campos y dominios como el deporte, la educación, la salud y los negocios. Algunos de ellos también están colaborando con otros artistas marciales y practicantes de diferentes orígenes y culturas. </p>
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- <h2>Los fundamentos de la lucha ninja</h2>
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- <p>Cómo vestirse como un ninja y mezclarse con su entorno</p>
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- <p>Uno de los aspectos más importantes de la lucha ninja es vestirse como un ninja y mezclarse con su entorno. Esto le ayudará a evitar la detección, ocultar su identidad y mejorar su movilidad y rendimiento. Aquí hay algunos consejos sobre cómo vestirse como un ninja:</p>
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- <ul>
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- <li>Use colores oscuros o neutros que coincidan con su entorno, como negro, gris, marrón o verde. Evite los colores brillantes o llamativos que atraerán la atención. </li>
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- <li>Usa ropa holgada que te permita moverte con libertad y comodidad. Evite la ropa ajustada que restringirá su movimiento o revelará la forma de su cuerpo. </li>
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- <li>Use capas de ropa que se pueden ajustar de acuerdo con el clima, la temperatura o la situación. Por ejemplo, puede usar una capa con capucha sobre una chaqueta sobre una camisa sobre un chaleco sobre una túnica sobre pantalones sobre polainas sobre calcetines sobre zapatos. </li>
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- <li>Use ropa que tenga múltiples bolsillos o compartimentos que puedan almacenar sus armas, herramientas o artículos. Por ejemplo, puede usar un cinturón con bolsas, un chaleco con bolsillos o una chaqueta con mangas. </li>
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- <li>Usa ropa que tenga características o funciones especiales que puedan ayudarte en tu misión. Por ejemplo, puedes usar ropa impermeable, a prueba de fuego, a prueba de balas o camuflaje. </li>
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- </ul>
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- <p>Otro aspecto importante de la lucha ninja es moverse como un ninja y utilizar técnicas de sigilo. Esto te ayudará a evitar que tus enemigos o objetivos te vean, escuchen o detecten. Estos son algunos consejos sobre cómo moverte como un ninja:</p>
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- <ul>
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- <li>Camina suave y silenciosamente sin hacer ningún ruido con tus pies, zapatos o ropa. Evite pisar cualquier cosa que pueda hacer un sonido, como hojas, ramas, grava o metal. </li>
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- <li>Corre rápida y suavemente sin perder energía ni impulso. Evite correr en una línea recta o un patrón predecible, sino más bien zigzaguear o cambiar de dirección con frecuencia. </li>
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- <li>Salta alto y lejos sin perder el equilibrio o el control. Evite saltar desde lugares demasiado altos o demasiado bajos, pero use puntos intermedios como árboles, paredes o techos. </li>
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- <li>Sube rápido y seguro sin caerte ni resbalarte. Evite trepar sobre superficies resbaladizas o inestables, pero use puntos seguros como ramas, cuerdas o ganchos. </li>
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- <li>Gatea bajo y sigilosamente sin exponerte ni dejar rastros. Evite gatear en áreas abiertas o visibles, pero use puntos de cobertura como arbustos, rocas o sombras. </li>
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- </ul>
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- <p>Cómo luchar como un ninja y usar varias armas y tácticas</p>
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- <p>El aspecto final y más emocionante de la lucha ninja es luchar como un ninja y utilizar varias armas y tácticas. Esto te ayudará a derrotar a tus enemigos o lograr tus objetivos. Aquí hay algunos consejos sobre cómo luchar como un ninja:</p>
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- <ul>
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- <li>Usa tus armas sabiamente y eficazmente sin desperdiciarlas o perderlas. Evita usar tus armas innecesariamente o imprudentemente, pero más bien úsalas estratégica y precisamente. </li>
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- <li>Usa tus tácticas de manera inteligente y creativa sin ser predecible ni obvio. Evita usar las mismas tácticas repetidamente o a ciegas, pero más bien úsalas de forma adaptativa y espontánea. </li>
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- <li>Usa tu cuerpo de manera poderosa y eficiente sin lesionarte ni agotarte. Evite usar su cuerpo en forma excesiva o inadecuada, pero más bien úselo como una herramienta, un arma o un escudo. </li>
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- <li>Usa tu mente con calma y confianza sin entrar en pánico ni dudar. Evita ser distraído o intimidado por tus enemigos, pero usa tu mente como un arma, un escudo o una trampa. </li>
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- </ul>
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- <h2>Técnicas avanzadas de lucha ninja</h2>
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- <p>Cómo usar tus sentidos e intuición para detectar enemigos y peligros</p>
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- <p>Una de las técnicas avanzadas de lucha ninja es utilizar sus sentidos y la intuición para detectar enemigos y peligros. Esto le ayudará a anticipar y evitar amenazas, o a prepararse y responder a los ataques. Aquí hay algunos consejos sobre cómo usar tus sentidos e intuición:</p>
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- <ul>
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- <li>Usa tus ojos para ver más allá de lo obvio y notar lo sutil. Busca pistas como movimientos, sombras, reflejos, colores, formas o patrones que indiquen la presencia o ubicación de enemigos o peligros. </li>
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- <li>Usa tus oídos para escuchar más allá del ruido y escuchar el silencio. Escucha sonidos como pasos, respiración, susurros, susurros, chasquidos o ruidos que indican las acciones o intenciones de los enemigos o los peligros. </li>
80
- <li>Usa tu nariz para oler más allá del olor y sentir el aroma. Huela olores como sudor, sangre, humo, fuego, veneno o explosivos que indican la condición o situación de los enemigos o peligros. </li>
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- <li>Usa tu lengua para probar más allá del sabor y detectar la calidad. Gusto por sabores como la sal, amargo, agrio, dulce o picante que indican la naturaleza o el origen de los enemigos o peligros. </li>
82
- <li>Usa tu piel para sentir más allá del tacto y percibir la vibración. Siente sensaciones como calor, frío, presión, dolor u hormigueo que indican la proximidad o intensidad de enemigos o peligros. </li>
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- </ul>
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- <p>Cómo usar tu mente y espíritu para vencer el miedo y el dolor</p>
86
- <p>Otra técnica avanzada de lucha ninja es utilizar su mente y espíritu para superar el miedo y el dolor. Esto le ayudará a soportar y sobrevivir cualquier dificultad o desafío que pueda enfrentar. Aquí hay algunos consejos sobre cómo usar su mente y espíritu:</p>
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- <ul>
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- <li>Usa tu mente para controlar tus pensamientos y emociones. Evita dejar que pensamientos o emociones negativas como la duda, la ansiedad, la ira o la desesperación se apoderen de tu mente. En cambio, enfócate en pensamientos o emociones positivas como confianza, calma, coraje o esperanza. </li>
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- <li>Usa tu espíritu para conectarte con tu ser interior y tu poder superior. Evita perder contacto con tu verdadero ser o tu propósito en la vida. En cambio, conéctate con tu ser interior o con tu poder superior, como Dios, la naturaleza o el universo, y busca guía, inspiración o fuerza. </li>
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- <li>Usa tu mente y espíritu para crear un estado mental de flujo. El flujo es un estado de experiencia óptima donde estás completamente inmerso y comprometido en lo que estás haciendo, y donde sientes un equilibrio entre el desafío y la habilidad. Para lograr el flujo, necesitas establecer metas claras, recibir retroalimentación inmediata y tener un alto nivel de concentración y disfrute. </li>
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- </ul>
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- <p>Cómo usar tu creatividad e improvisación para adaptarte a cualquier situación</p>
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- <p>La técnica avanzada final de la lucha ninja es utilizar su creatividad e improvisación para adaptarse a cualquier situación. Esto le ayudará a hacer frente a cualquier cambio o incertidumbre que pueda encontrar. Aquí hay algunos consejos sobre cómo usar tu creatividad e improvisación:</p>
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- <ul>
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- <li>Usa tu creatividad para generar nuevas ideas y soluciones. Evita apegarte a formas convencionales o familiares de pensar o hacer cosas. En su lugar, piense fuera de la caja y llegar a ideas y soluciones originales o innovadoras. </li>
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- <li>Usa tu creatividad e improvisación para crear un estado de juego. El juego es un estado de diversión y disfrute donde eres libre de explorar, experimentar y expresarte sin miedo al fracaso o al juicio. Para crear el juego, necesitas tener una actitud lúdica, un sentido del humor y la voluntad de tomar riesgos. </li>
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- </ul>
99
- <h2>Los desafíos de la lucha ninja</h2>
100
- <p>¿Cuáles son los dilemas éticos y morales de ser un ninja? </p>
101
- <p>Uno de los desafíos de la lucha ninja es enfrentar los dilemas éticos y morales de ser un ninja. Esto pondrá a prueba tus valores y principios como ser humano. Estos son algunos de los dilemas éticos y morales que puedes enfrentar:</p>
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- <ul>
103
- ¿Sigues órdenes o sigues tu conciencia? Como ninja, puede ser contratado por alguien que le pide que haga algo que va en contra de sus creencias personales o morales. ¿Los obedeces o los desobedeces? </li>
104
- <li>¿Matas o sobras? Como ninja, es posible que tengas que matar a alguien que es tu enemigo o objetivo. ¿Los matas o los perdonas? </li>
105
- <li>¿Mientes o dices la verdad? Como ninja, puedes tener que mentir o engañar a alguien que es tu aliado o amigo. ¿Les mientes o les dices la verdad? </li>
106
- <li>¿Robas o das? Como ninja, puedes tener acceso a algo que pertenece a alguien más que es rico o pobre. ¿Les robas o les das? </li>
107
- ¿Te sirves a ti mismo o a los demás? Como ninja, es posible que tenga la oportunidad de utilizar sus habilidades para su propio beneficio o para el beneficio de otros que están en necesidad o merecedor. ¿Te sirves a ti mismo o a otros? </li>
108
- </ul>
109
- <p>¿Cuáles son los riesgos físicos y mentales de practicar la lucha ninja? </p>
110
- <p>Otro desafío de la lucha ninja es hacer frente a los riesgos físicos y mentales de la práctica de la lucha ninja. Esto afectará tu salud y bienestar como ser humano. Estos son algunos de los riesgos físicos y mentales que puedes enfrentar:</p>
111
- <ul>
112
-
113
- <li>Puede experimentar estrés o trauma debido a las situaciones de alta presión o escenarios violentos que encuentre. También puede desarrollar trastornos psicológicos como depresión, ansiedad o TEPT.</li>
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- <li>Puedes perder contacto con la realidad debido al estilo de vida secreto o las prácticas engañosas que adoptas. También puede desarrollar trastornos de personalidad como paranoia, narcisismo o sociopatía. </li>
115
- <li>Es posible que se vuelva adicto a la adrenalina debido al comportamiento de búsqueda de emociones o actividades arriesgadas que realiza. También puede desarrollar problemas de abuso de sustancias como alcoholismo, drogadicción o adicción al juego. </li>
116
- <li>Puede perder su identidad o sentido de sí mismo debido a los múltiples roles o personas que asume. También puede desarrollar crisis existenciales como confusión, alienación o nihilismo. </li>
117
- </ul>
118
- <p>¿Cuáles son las implicaciones legales y sociales de ser un ninja en el mundo de hoy? </p>
119
- <p>El desafío final de la lucha ninja es hacer frente a las implicaciones legales y sociales de ser un ninja en el mundo de hoy. Esto afectará tu estatus y reputación como ser humano. Estas son algunas de las implicaciones legales y sociales que puedes enfrentar:</p>
120
- <ul>
121
- <li>Usted puede enfrentar consecuencias legales o sanciones debido a las acciones ilegales o no éticas que realiza. También puede convertirse en un objetivo de las agencias de aplicación de la ley u organizaciones rivales. </li>
122
- <li>Usted puede enfrentar aislamiento social o rechazo debido al estilo de vida secreto o antisocial que lleva. También puede ser víctima de discriminación, prejuicio o estigma. </li>
123
- <li>Puedes enfrentar conflictos morales o dilemas debido a los diferentes valores o normas que encuentras. También puede convertirse en una fuente de controversia, crítica o debate. </li>
124
- <li>Usted puede enfrentar desafíos culturales o malentendidos debido a los diferentes antecedentes o perspectivas que se encuentran. También puede convertirse en un tema de curiosidad, fascinación o admiración. </li>
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126
- </ul>
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- <h2>Conclusión</h2>
128
- <p>En conclusión, la lucha ninja es un arte complejo y sofisticado que combina habilidades físicas, mentales y espirituales. Tiene una historia rica y fascinante que abarca desde el Japón feudal hasta los tiempos modernos. Tiene varias técnicas básicas y avanzadas que cubren aspectos como vestirse, moverse, luchar, detectar, superar y adaptarse. También tiene varios desafíos que involucran cuestiones éticas, morales, físicas, mentales, legales, sociales y personales. La lucha ninja no es para todos, pero para aquellos que están interesados en ella, puede ser una forma de vida gratificante y satisfactoria. </p>
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- <h2>Preguntas frecuentes</h2>
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- <p>Aquí hay algunas preguntas frecuentes sobre la lucha ninja:</p>
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- <ol>
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- <li>¿Cuáles son algunos de los mejores recursos para aprender más sobre la lucha ninja? </li>
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- <p>Algunos de los mejores recursos para aprender más sobre la lucha ninja son libros, documentales, películas, videojuegos, sitios web, blogs, podcasts, revistas y cursos en línea. Algunos ejemplos son:</p>
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- <ul>
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- <li>El Libro de Ninja: El Bansenshukai - Manual Ninja de Japón por Antony Cummins y Yoshie Minami</li>
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- <li>Ninja: Shadow Warriors - Un documental de John Wate</li>
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- <li>Ninja Assassin - Una película de James McTeigue</li>
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- <li>Ninja Gaiden - Una serie de videojuegos por Tecmo</li>
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- <li>www.ninjutsu.com - Un sitio web de Stephen K. Hayes</li>
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- <li>El podcast ninja - Un podcast de Isaac Meyer</li>
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- <li>Ninja Magazine - Una revista por Black Belt Publicaciones</li>
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- <li>Técnicas de lucha ninja - Un curso en línea por Udemy</li>
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- </ul>
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- <li> ¿Dónde puedo encontrar un instructor de ninjutsu de buena reputación o dojo cerca de mí? </li>
145
- <p>Una forma de encontrar un instructor o dojo de ninjutsu de buena reputación cerca de usted es usar directorios o bases de datos en línea que enumeren escuelas o maestros de ninjutsu certificados o afiliados. Algunos ejemplos son:</p>
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- <ul>
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- <li>www.bujinkan.com - El sitio web oficial de la Organización Bujinkan Fundada por Masaaki Hatsumi</li>
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- <li>www.jinenkan.com - El sitio web oficial de la Organización Jinenkan Fundada por Fumio Manaka</li>
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- <li>www.ninpo.org - El sitio web oficial de la Federación Internacional de Ninpo Taijutsu Fundada por Jinichi Kawakami</li>
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- </ul>
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- <li>¿Cuánto tiempo se tarda en convertirse en un luchador ninja competente? </li>
153
- <p>La respuesta a esta pregunta depende de muchos factores como tus objetivos personales, tu nivel actual, tu estilo de aprendizaje, tu instructor, tu dojo y tu dedicación. Sin embargo, una estimación general es que toma al menos 10 años de entrenamiento regular y consistente para convertirse en un luchador ninja competente. Esto se basa en el supuesto de que entrenas al menos 3 veces a la semana durante 2 horas cada sesión, y que sigues un plan de estudios estructurado y progresivo que cubre todos los aspectos de la lucha ninja. Por supuesto, esta no es una línea de tiempo fija o garantizada, y puede progresar más rápido o más lento dependiendo de sus circunstancias individuales. </li>
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- <li>¿Puede cualquier persona convertirse en un luchador ninja independientemente de la edad, el género o el fondo? </li>
155
- <p>La respuesta a esta pregunta es sí, cualquier persona puede convertirse en un luchador ninja independientemente de la edad, el género o el fondo. Ninja lucha no se limita o exclusivo a cualquier grupo o categoría de personas. Es abierto y accesible para cualquiera que tenga el interés, la pasión y el compromiso de aprender y practicarlo. Sin embargo, hay algunos requisitos previos y requisitos que debes cumplir antes de comenzar tu entrenamiento ninja. Estos incluyen:</p>
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- <ul>
157
- <li>Necesitas tener una buena condición de salud física y mental. Necesitas estar libre de cualquier lesión o enfermedad grave que pueda impedirte entrenar de manera segura y efectiva. También necesita estar libre de cualquier problema psicológico o emocional que pueda afectar su juicio o desempeño. </li>
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- Necesitas tener una actitud positiva y respetuosa. Necesitas estar dispuesto a aprender de tu instructor y compañeros de estudio sin arrogancia ni ego. También es necesario ser respetuoso de las reglas y la etiqueta del dojo y la tradición ninjutsu sin desafío o desobediencia. </li>
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- <li>Necesitas tener un objetivo claro y realista. Necesitas saber por qué quieres convertirte en un luchador ninja y qué esperas lograr de él. También necesitas ser realista sobre tus expectativas y limitaciones sin engaño o frustración. </li>
161
- </ul>
162
- <li> ¿La lucha ninja es legal y segura? </li>
163
- <p>La respuesta a esta pregunta es sí, la lucha ninja es legal y segura siempre y cuando siga algunas pautas y precauciones. Estos incluyen:</p>
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- <ul>
165
- <li>Necesitas entrenar bajo la supervisión de un instructor calificado y experimentado que puede enseñarte las técnicas y métodos adecuados de lucha ninja. También debe seguir sus instrucciones y consejos sin duda alguna. </li>
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- <li>Necesitas entrenar en un ambiente seguro y adecuado que tenga el equipo y las instalaciones necesarias para el entrenamiento ninja. También es necesario comprobar el estado y la calidad de los equipos e instalaciones antes de usarlos sin negligencia o descuido. </li>
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- <li>Necesitas entrenar con equipo apropiado y protector que pueda prevenir o reducir el riesgo de lesiones o accidentes. También es necesario llevar el equipo correctamente y de forma segura sin omisión o compromiso. </li>
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- <li>Necesitas entrenar con respeto y precaución hacia ti mismo y hacia otros que están involucrados en el entrenamiento. También es necesario evitar cualquier fuerza o violencia innecesaria o excesiva sin provocación o agresión. </li>
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- <li>Es necesario cumplir con las leyes y reglamentos de su país o región que rigen el uso de armas o artes marciales. También es necesario respetar los derechos y la privacidad de otras personas que no participan en la formación sin intrusión o interferencia. </li>
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- <h1>Descargar Demon Hunter: Shadow World - Un juego de acción de fantasía oscura para Android e iOS</h1>
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- <p>Si eres un fanático de la fantasía oscura y el combate con adrenalina, es posible que quieras echar un vistazo a Demon Hunter: Shadow World, un juego móvil lleno de acción que te permite dar rienda suelta a tu guerrero interior en un mundo plagado de demonios, no-muertos y otras criaturas de la noche. En este juego, puede elegir entre diferentes clases de cazadores, cada uno con sus propias habilidades y armas únicas, y luchar su camino a través de varios lugares, desde bosques embrujados a ruinas antiguas. También puede personalizar su cazador con varios trajes, accesorios y mejoras para adaptarse a su estilo y preferencias. Demon Hunter: Shadow World cuenta con un sistema de combate súper satisfactorio que te permite cortar, disparar y lanzar habilidades con controles intuitivos y retroalimentación sensible. Puedes usar combos, dodges, contadores y movimientos especiales para derrotar a tus enemigos y ganar recompensas. También puede recoger y crear diferentes artículos y equipos para mejorar su poder y habilidades. Demon Hunter: Shadow World ofrece un contenido rico y diverso que te mantendrá entretenido durante horas. Puede explorar diferentes lugares, desde bosques embrujados hasta ruinas antiguas, y descubrir secretos y tesoros en el camino. También puedes completar varias misiones y desafíos para ganar recompensas adicionales y desbloquear nuevas características. Demon Hunter: Shadow World también tiene un emocionante modo PvP que te permite probar tus habilidades contra otros jugadores de todo el mundo. Puedes unirte a partidas clasificadas o batallas casuales, o crear tus propias habitaciones personalizadas con tus amigos. También puedes participar en torneos y eventos para ganar premios y gloria. </p>
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- <h2>descargar demonio cazador sombra mundo</h2><br /><p><b><b>Download</b> &rarr; <a href="https://bltlly.com/2v6LbG">https://bltlly.com/2v6LbG</a></b></p><br /><br />
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- <p>En este artículo, te mostraremos cómo descargar Demon Hunter: Shadow World para tu dispositivo Android o iOS, cómo jugar el juego y cómo dominarlo. También compartiremos algunos consejos y trucos que te ayudarán a convertirte en un mejor cazador. Así que, si estás listo para unirte a la caza, ¡sigue leyendo! </p>
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- <p>Demon Hunter: Shadow World es un juego de acción desarrollado por EA Publishing, una subsidiaria de Electronic Arts, una de las compañías de videojuegos líderes en el mundo. El juego fue lanzado el 20 de mayo de 2023 para dispositivos Android e iOS. El juego ha recibido críticas positivas de jugadores y críticos por igual, que elogiaron sus gráficos, jugabilidad, contenido y opciones de personalización. El juego también ha sido presentado en varias plataformas, como Google Play Store, App Store, APKCombo, BlueStacks, YouTube, etc.</p>
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- <h3>La historia y la configuración del juego</h3>
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- <p>El juego se desarrolla en un mundo de fantasía oscura donde una horda de demonios oscuros ha destruido el mundo mortal. Solo unos pocos afortunados sobrevivientes lograron escapar de la carnicería y buscar refugio en un santuario oculto. Sin embargo, los demonios no están renunciando a su caza y están constantemente buscando maneras de entrar en el santuario. La única esperanza para la humanidad está en manos de los cazadores de demonios, valientes guerreros que tienen poderes especiales para luchar contra los demonios y monstruos. Como uno de estos cazadores, tienes que embarcarte en un peligroso viaje para evitar que los demonios acaben con la humanidad. </p>
10
- <h3>Las características y el modo de juego del juego</h3>
11
-
12
- <h2>Cómo descargar Demon Hunter: Shadow World? </h2>
13
- <p>Demon Hunter: Shadow World está disponible de forma gratuita en dispositivos Android e iOS. Puedes descargar el juego desde las fuentes oficiales, como Google Play Store o App Store, o desde fuentes alternativas, como APKCombo o BlueStacks. Estos son los pasos para descargar el juego de cada fuente:</p>
14
- <p></p>
15
- <h3>Descargar de Google Play Store o App Store</h3>
16
- <p>Si tienes un dispositivo Android, puedes descargar el juego desde Google Play Store siguiendo estos pasos:</p>
17
- <ol>
18
- <li>Abre Google Play Store en tu dispositivo y busca "Demon Hunter: Shadow World". </li>
19
- <li>Seleccione el juego de los resultados de búsqueda y toque en "Instalar". </li>
20
- <li>Espera a que el juego se descargue e instale en tu dispositivo. </li>
21
- <li>Una vez instalado el juego, toque en "Abrir" para iniciar el juego y disfrutar. </li>
22
- </ol>
23
- <p>Si tienes un dispositivo iOS, puedes descargar el juego desde App Store siguiendo estos pasos:</p>
24
- <ol>
25
- <li>Abra la tienda de aplicaciones en su dispositivo y busque "Cazador de demonios: Shadow World". </li>
26
- <li>Seleccione el juego de los resultados de búsqueda y toque en "Obtener". </li>
27
- <li>Introduzca su ID de Apple y contraseña si se le solicita. </li>
28
- <li>Espera a que el juego se descargue e instale en tu dispositivo. </li>
29
- <li>Una vez instalado el juego, toque en el icono del juego para iniciar el juego y disfrutar. </li>
30
- </ol>
31
- <h3>Descargar desde APKCombo o BlueStacks</h3>
32
- <p>Si quieres descargar el juego desde una fuente alternativa, puedes usar APKCombo o BlueStacks. APKCombo es un sitio web que proporciona archivos APK de varias aplicaciones y juegos para dispositivos Android. BlueStacks es un emulador que te permite ejecutar aplicaciones y juegos para Android en tu PC o Mac. Estos son los pasos para descargar el juego de cada fuente:</p>
33
- <ol>
34
- <li>Vaya a <a href=">APKCombo.com</a> en su navegador y busque "Demon Hunter: Shadow World". </li>
35
- <li>Seleccione el juego de los resultados de búsqueda y haga clic en "Descargar APK". </li>
36
-
37
- <li>Espere a que el archivo APK se descargue en su dispositivo u ordenador. </li>
38
- <li>Si descargó el archivo en su dispositivo, vaya a su administrador de archivos y localice el archivo. Toque en él y siga las instrucciones para instalarlo. </li>
39
- <li>Si descargó el archivo en su computadora, vaya a <a href="">BlueStacks.com</a> y descargue e instale BlueStacks en su computadora. </li>
40
- <li>Inicie BlueStacks e inicie sesión con su cuenta de Google. </li>
41
- <li>Arrastre y suelte el archivo APK en BlueStacks o haga clic en "Instalar APK" y seleccione el archivo. </li>
42
- <li>Espere a que el juego se instale en BlueStacks.</li>
43
- <li>Una vez instalado el juego, haga clic en el icono del juego para iniciar el juego y disfrutar. </li>
44
- </ol>
45
- <h2>¿Cómo se juega Demon Hunter: Shadow World? </h2>
46
- <p>Demon Hunter: Shadow World es un juego divertido y fácil de jugar, pero también requiere algo de estrategia y habilidad para dominar. Aquí hay algunos consejos sobre cómo jugar el juego:</p>
47
- <h3>Elige tu clase y personaliza tu cazador</h3>
48
- <p>Lo primero que debes hacer cuando comienzas a jugar a Demon Hunter: Shadow World es elegir tu clase. Hay cuatro clases de cazadores en el juego: Guerrero, Arquero, Mago y Asesino. Cada clase tiene sus propias fortalezas y debilidades, así como diferentes habilidades y armas. Puedes ver una breve descripción de cada clase antes de hacer tu elección. También puedes cambiar de clase más adelante en el juego si quieres probar algo diferente. </p>
49
- <p>Después de elegir tu clase, puedes personalizar a tu cazador cambiando su nombre, apariencia, atuendo, accesorios, etc. También puedes mejorar sus habilidades y armas usando oro, gemas, runas, etc. que ganas jugando. Puede acceder a estas opciones pulsando en el botón de menú en la esquina superior izquierda de la pantalla. </p>
50
- <h3>Lucha contra demonios y monstruos en diferentes modos</h3>
51
-
52
- <ul>
53
- <li>Modo historia: Este es el modo principal del juego, donde puedes seguir la trama y aprender más sobre los personajes y el mundo. Puedes acceder a diferentes capítulos y etapas de la historia tocando el icono del mapa en la parte inferior de la pantalla. Cada etapa tiene un nivel de dificultad y una clasificación de estrellas que indica qué tan bien se desempeñó. Puedes ganar oro, gemas, objetos y puntos de experiencia completando etapas. También puedes repetir etapas para mejorar tu puntuación y ganar más recompensas. </li>
54
- <li>Modo aventura: Este es el modo en el que puedes explorar diferentes lugares y completar varias misiones y desafíos. Puedes acceder a diferentes ubicaciones tocando el icono de aventura en la parte inferior de la pantalla. Cada lugar tiene un tema y un conjunto de enemigos que tienes que enfrentar. También puedes encontrar secretos y tesoros en el camino. Puedes ganar oro, gemas, objetos y puntos de experiencia completando misiones y desafíos. También puede desbloquear nuevas características y modos avanzando en el modo aventura. </li>
55
- <li>Modo Arena: Este es el modo en el que puedes competir con otros jugadores en batallas en tiempo real. Puede acceder al modo arena pulsando en el icono de arena en la parte inferior de la pantalla. Puede elegir entre dos tipos de partidos: clasificados o casuales. En los partidos clasificados, puedes ganar puntos y subir las tablas de clasificación en función de tu rendimiento. En los partidos casuales, puedes divertirte y practicar tus habilidades sin afectar tu rango. También puede crear sus propias habitaciones personalizadas con sus amigos o unirse a las habitaciones de otros jugadores. Puedes ganar oro, gemas, objetos y puntos de experiencia al ganar partidas. También puedes participar en torneos y eventos para ganar premios y gloria. </li>
56
-
57
- </ul>
58
- <h2>¿Cómo dominar a Demon Hunter: Shadow World? </h2>
59
- <p>Cazador de demonios: Shadow World es un juego que requiere un poco de estrategia y habilidad para dominar. Aquí hay algunos consejos sobre cómo dominar el juego:</p>
60
- <h3>Aprender el sistema de combate y utilizar las habilidades sabiamente</h3>
61
- <p>El sistema de combate de Demon Hunter: Shadow World es uno de los aspectos más satisfactorios del juego. Te permite cortar, disparar y lanzar habilidades con controles intuitivos y retroalimentación sensible. Puedes usar combos, dodges, contadores y movimientos especiales para derrotar a tus enemigos y ganar recompensas. Sin embargo, también necesitas aprender a usar tus habilidades sabiamente, ya que tienen tiempos de reutilización y costos de maná que limitan su uso. Necesitas equilibrar tu ofensiva y defensa, así como tus ataques físicos y mágicos, dependiendo de la situación y el tipo de enemigo. También debes prestar atención a tu barra de salud y a tu barra de maná, ya que indican cuánto daño puedes soportar y cuántas habilidades puedes usar. </p>
62
- <h3>Explora los lugares y descubre secretos y tesoros</h3>
63
- <p>Demon Hunter: Shadow World ofrece un contenido rico y diverso que te mantendrá entretenido durante horas. Puede explorar diferentes lugares, desde bosques embrujados hasta ruinas antiguas, y descubrir secretos y tesoros en el camino. También puedes completar varias misiones y desafíos para ganar recompensas adicionales y desbloquear nuevas características. Puedes acceder a estas opciones pulsando en el icono de aventura en la parte inferior de la pantalla. También puedes ver una lista de misiones y desafíos disponibles tocando el icono de misión en la esquina superior derecha de la pantalla. También puede ver un mapa de la ubicación pulsando en el icono del mapa en la esquina superior izquierda de la pantalla. Puedes usar el mapa para navegar y encontrar puntos de interés, como enemigos, cofres, portales, etc. También puedes acercar y alejar el mapa pellizcando la pantalla. </p>
64
- <h3>Desafía a otros jugadores en modo PvP y únete a torneos y eventos</h3>
65
-
66
- <h2>Conclusión</h2>
67
- <p>Demon Hunter: Shadow World es un juego de acción de fantasía oscura que te permite dar rienda suelta a tu guerrero interior en un mundo plagado de demonios, muertos vivientes y otras criaturas de la noche. En este juego, puede elegir entre diferentes clases de cazadores, cada uno con sus propias habilidades y armas únicas, y luchar su camino a través de varios lugares, desde bosques embrujados a ruinas antiguas. También puede personalizar su cazador con varios trajes, accesorios y mejoras para adaptarse a su estilo y preferencias. Demon Hunter: Shadow World cuenta con un sistema de combate súper satisfactorio que te permite cortar, disparar y lanzar habilidades con controles intuitivos y retroalimentación sensible. Puedes usar combos, dodges, contadores y movimientos especiales para derrotar a tus enemigos y ganar recompensas. También puede recoger y crear diferentes artículos y equipos para mejorar su poder y habilidades. Demon Hunter: Shadow World ofrece un contenido rico y diverso que te mantendrá entretenido durante horas. Puede explorar diferentes lugares, desde bosques embrujados hasta ruinas antiguas, y descubrir secretos y tesoros en el camino. También puedes completar varias misiones y desafíos para ganar recompensas adicionales y desbloquear nuevas características. Demon Hunter: Shadow World también tiene un emocionante modo PvP que te permite probar tus habilidades contra otros jugadores de todo el mundo. Puedes unirte a partidas clasificadas o batallas casuales, o crear tus propias habitaciones personalizadas con tus amigos. También puedes participar en torneos y eventos para ganar premios y gloria. </p>
68
- <p>Si estás buscando un juego que combine fantasía oscura y combate con adrenalina, definitivamente deberías descargar Demon Hunter: Shadow World para tu dispositivo Android o iOS hoy. ¡No te arrepentirás! </p>
69
- <h2>Preguntas frecuentes</h2>
70
- <p>Aquí hay algunas preguntas frecuentes sobre Demon Hunter: Shadow World:</p>
71
- <ol>
72
- <li>Q: ¿Cuánto espacio ocupa Demon Hunter: Shadow World en mi dispositivo? <br>
73
- R: Cazador de demonios: Shadow World toma aproximadamente 1 GB de espacio en su dispositivo. </li>
74
-
75
- R: Cazador de demonios: Shadow World guarda automáticamente tu progreso en línea cuando estás conectado a Internet. También puede sincronizar su progreso en diferentes dispositivos iniciando sesión con su cuenta de Facebook o Google. </li>
76
- <li>P: ¿Cómo puedo obtener más oro, gemas, artículos y equipos en Demon Hunter: Shadow World? <br>
77
- R: Puedes obtener más oro, gemas, artículos y equipos jugando el juego regularmente y completando etapas, misiones, desafíos, redadas, etc. También puedes obtenerlos abriendo cofres, ruedas giratorias, viendo anuncios, etc. También puede comprarlos con dinero real si desea apoyar a los desarrolladores. </li>
78
- <li>Q: ¿Cómo puedo contactar al servicio de atención al cliente o reportar un error en Demon Hunter: Shadow World? <br>
79
- R: Puede ponerse en contacto con el servicio de atención al cliente o informar de un error tocando en el icono de configuración en la esquina superior izquierda de la pantalla y luego tocando en "Ayuda" o "Comentarios". También puede enviarlos por correo electrónico a <a href="mailto:[email protected]">[email protected]</a>. </li>
80
- <li>P: ¿Cómo me uno a un gremio o invito a amigos a jugar Cazador de demonios: Mundo de sombras? <br>
81
- R: Puedes unirte a un gremio o invitar a amigos a jugar a Demon Hunter: Shadow World tocando el icono social en la parte inferior de la pantalla. Puedes buscar y unirte a los gremios existentes, o crear tu propio gremio e invitar a otros jugadores. También puedes invitar a tus amigos de Facebook o Google tocando el icono de invitación en la esquina superior derecha de la pantalla. Puedes chatear con miembros y amigos de tu gremio, enviar regalos, solicitar ayuda, etc.</li>
82
- </ol></p> 64aa2da5cf<br />
83
- <br />
84
- <br />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_internal/index/collector.py DELETED
@@ -1,505 +0,0 @@
1
- """
2
- The main purpose of this module is to expose LinkCollector.collect_sources().
3
- """
4
-
5
- import collections
6
- import email.message
7
- import functools
8
- import itertools
9
- import json
10
- import logging
11
- import os
12
- import urllib.parse
13
- import urllib.request
14
- from html.parser import HTMLParser
15
- from optparse import Values
16
- from typing import (
17
- TYPE_CHECKING,
18
- Callable,
19
- Dict,
20
- Iterable,
21
- List,
22
- MutableMapping,
23
- NamedTuple,
24
- Optional,
25
- Sequence,
26
- Tuple,
27
- Union,
28
- )
29
-
30
- from pip._vendor import requests
31
- from pip._vendor.requests import Response
32
- from pip._vendor.requests.exceptions import RetryError, SSLError
33
-
34
- from pip._internal.exceptions import NetworkConnectionError
35
- from pip._internal.models.link import Link
36
- from pip._internal.models.search_scope import SearchScope
37
- from pip._internal.network.session import PipSession
38
- from pip._internal.network.utils import raise_for_status
39
- from pip._internal.utils.filetypes import is_archive_file
40
- from pip._internal.utils.misc import redact_auth_from_url
41
- from pip._internal.vcs import vcs
42
-
43
- from .sources import CandidatesFromPage, LinkSource, build_source
44
-
45
- if TYPE_CHECKING:
46
- from typing import Protocol
47
- else:
48
- Protocol = object
49
-
50
- logger = logging.getLogger(__name__)
51
-
52
- ResponseHeaders = MutableMapping[str, str]
53
-
54
-
55
- def _match_vcs_scheme(url: str) -> Optional[str]:
56
- """Look for VCS schemes in the URL.
57
-
58
- Returns the matched VCS scheme, or None if there's no match.
59
- """
60
- for scheme in vcs.schemes:
61
- if url.lower().startswith(scheme) and url[len(scheme)] in "+:":
62
- return scheme
63
- return None
64
-
65
-
66
- class _NotAPIContent(Exception):
67
- def __init__(self, content_type: str, request_desc: str) -> None:
68
- super().__init__(content_type, request_desc)
69
- self.content_type = content_type
70
- self.request_desc = request_desc
71
-
72
-
73
- def _ensure_api_header(response: Response) -> None:
74
- """
75
- Check the Content-Type header to ensure the response contains a Simple
76
- API Response.
77
-
78
- Raises `_NotAPIContent` if the content type is not a valid content-type.
79
- """
80
- content_type = response.headers.get("Content-Type", "Unknown")
81
-
82
- content_type_l = content_type.lower()
83
- if content_type_l.startswith(
84
- (
85
- "text/html",
86
- "application/vnd.pypi.simple.v1+html",
87
- "application/vnd.pypi.simple.v1+json",
88
- )
89
- ):
90
- return
91
-
92
- raise _NotAPIContent(content_type, response.request.method)
93
-
94
-
95
- class _NotHTTP(Exception):
96
- pass
97
-
98
-
99
- def _ensure_api_response(url: str, session: PipSession) -> None:
100
- """
101
- Send a HEAD request to the URL, and ensure the response contains a simple
102
- API Response.
103
-
104
- Raises `_NotHTTP` if the URL is not available for a HEAD request, or
105
- `_NotAPIContent` if the content type is not a valid content type.
106
- """
107
- scheme, netloc, path, query, fragment = urllib.parse.urlsplit(url)
108
- if scheme not in {"http", "https"}:
109
- raise _NotHTTP()
110
-
111
- resp = session.head(url, allow_redirects=True)
112
- raise_for_status(resp)
113
-
114
- _ensure_api_header(resp)
115
-
116
-
117
- def _get_simple_response(url: str, session: PipSession) -> Response:
118
- """Access an Simple API response with GET, and return the response.
119
-
120
- This consists of three parts:
121
-
122
- 1. If the URL looks suspiciously like an archive, send a HEAD first to
123
- check the Content-Type is HTML or Simple API, to avoid downloading a
124
- large file. Raise `_NotHTTP` if the content type cannot be determined, or
125
- `_NotAPIContent` if it is not HTML or a Simple API.
126
- 2. Actually perform the request. Raise HTTP exceptions on network failures.
127
- 3. Check the Content-Type header to make sure we got a Simple API response,
128
- and raise `_NotAPIContent` otherwise.
129
- """
130
- if is_archive_file(Link(url).filename):
131
- _ensure_api_response(url, session=session)
132
-
133
- logger.debug("Getting page %s", redact_auth_from_url(url))
134
-
135
- resp = session.get(
136
- url,
137
- headers={
138
- "Accept": ", ".join(
139
- [
140
- "application/vnd.pypi.simple.v1+json",
141
- "application/vnd.pypi.simple.v1+html; q=0.1",
142
- "text/html; q=0.01",
143
- ]
144
- ),
145
- # We don't want to blindly returned cached data for
146
- # /simple/, because authors generally expecting that
147
- # twine upload && pip install will function, but if
148
- # they've done a pip install in the last ~10 minutes
149
- # it won't. Thus by setting this to zero we will not
150
- # blindly use any cached data, however the benefit of
151
- # using max-age=0 instead of no-cache, is that we will
152
- # still support conditional requests, so we will still
153
- # minimize traffic sent in cases where the page hasn't
154
- # changed at all, we will just always incur the round
155
- # trip for the conditional GET now instead of only
156
- # once per 10 minutes.
157
- # For more information, please see pypa/pip#5670.
158
- "Cache-Control": "max-age=0",
159
- },
160
- )
161
- raise_for_status(resp)
162
-
163
- # The check for archives above only works if the url ends with
164
- # something that looks like an archive. However that is not a
165
- # requirement of an url. Unless we issue a HEAD request on every
166
- # url we cannot know ahead of time for sure if something is a
167
- # Simple API response or not. However we can check after we've
168
- # downloaded it.
169
- _ensure_api_header(resp)
170
-
171
- logger.debug(
172
- "Fetched page %s as %s",
173
- redact_auth_from_url(url),
174
- resp.headers.get("Content-Type", "Unknown"),
175
- )
176
-
177
- return resp
178
-
179
-
180
- def _get_encoding_from_headers(headers: ResponseHeaders) -> Optional[str]:
181
- """Determine if we have any encoding information in our headers."""
182
- if headers and "Content-Type" in headers:
183
- m = email.message.Message()
184
- m["content-type"] = headers["Content-Type"]
185
- charset = m.get_param("charset")
186
- if charset:
187
- return str(charset)
188
- return None
189
-
190
-
191
- class CacheablePageContent:
192
- def __init__(self, page: "IndexContent") -> None:
193
- assert page.cache_link_parsing
194
- self.page = page
195
-
196
- def __eq__(self, other: object) -> bool:
197
- return isinstance(other, type(self)) and self.page.url == other.page.url
198
-
199
- def __hash__(self) -> int:
200
- return hash(self.page.url)
201
-
202
-
203
- class ParseLinks(Protocol):
204
- def __call__(self, page: "IndexContent") -> Iterable[Link]:
205
- ...
206
-
207
-
208
- def with_cached_index_content(fn: ParseLinks) -> ParseLinks:
209
- """
210
- Given a function that parses an Iterable[Link] from an IndexContent, cache the
211
- function's result (keyed by CacheablePageContent), unless the IndexContent
212
- `page` has `page.cache_link_parsing == False`.
213
- """
214
-
215
- @functools.lru_cache(maxsize=None)
216
- def wrapper(cacheable_page: CacheablePageContent) -> List[Link]:
217
- return list(fn(cacheable_page.page))
218
-
219
- @functools.wraps(fn)
220
- def wrapper_wrapper(page: "IndexContent") -> List[Link]:
221
- if page.cache_link_parsing:
222
- return wrapper(CacheablePageContent(page))
223
- return list(fn(page))
224
-
225
- return wrapper_wrapper
226
-
227
-
228
- @with_cached_index_content
229
- def parse_links(page: "IndexContent") -> Iterable[Link]:
230
- """
231
- Parse a Simple API's Index Content, and yield its anchor elements as Link objects.
232
- """
233
-
234
- content_type_l = page.content_type.lower()
235
- if content_type_l.startswith("application/vnd.pypi.simple.v1+json"):
236
- data = json.loads(page.content)
237
- for file in data.get("files", []):
238
- link = Link.from_json(file, page.url)
239
- if link is None:
240
- continue
241
- yield link
242
- return
243
-
244
- parser = HTMLLinkParser(page.url)
245
- encoding = page.encoding or "utf-8"
246
- parser.feed(page.content.decode(encoding))
247
-
248
- url = page.url
249
- base_url = parser.base_url or url
250
- for anchor in parser.anchors:
251
- link = Link.from_element(anchor, page_url=url, base_url=base_url)
252
- if link is None:
253
- continue
254
- yield link
255
-
256
-
257
- class IndexContent:
258
- """Represents one response (or page), along with its URL"""
259
-
260
- def __init__(
261
- self,
262
- content: bytes,
263
- content_type: str,
264
- encoding: Optional[str],
265
- url: str,
266
- cache_link_parsing: bool = True,
267
- ) -> None:
268
- """
269
- :param encoding: the encoding to decode the given content.
270
- :param url: the URL from which the HTML was downloaded.
271
- :param cache_link_parsing: whether links parsed from this page's url
272
- should be cached. PyPI index urls should
273
- have this set to False, for example.
274
- """
275
- self.content = content
276
- self.content_type = content_type
277
- self.encoding = encoding
278
- self.url = url
279
- self.cache_link_parsing = cache_link_parsing
280
-
281
- def __str__(self) -> str:
282
- return redact_auth_from_url(self.url)
283
-
284
-
285
- class HTMLLinkParser(HTMLParser):
286
- """
287
- HTMLParser that keeps the first base HREF and a list of all anchor
288
- elements' attributes.
289
- """
290
-
291
- def __init__(self, url: str) -> None:
292
- super().__init__(convert_charrefs=True)
293
-
294
- self.url: str = url
295
- self.base_url: Optional[str] = None
296
- self.anchors: List[Dict[str, Optional[str]]] = []
297
-
298
- def handle_starttag(self, tag: str, attrs: List[Tuple[str, Optional[str]]]) -> None:
299
- if tag == "base" and self.base_url is None:
300
- href = self.get_href(attrs)
301
- if href is not None:
302
- self.base_url = href
303
- elif tag == "a":
304
- self.anchors.append(dict(attrs))
305
-
306
- def get_href(self, attrs: List[Tuple[str, Optional[str]]]) -> Optional[str]:
307
- for name, value in attrs:
308
- if name == "href":
309
- return value
310
- return None
311
-
312
-
313
- def _handle_get_simple_fail(
314
- link: Link,
315
- reason: Union[str, Exception],
316
- meth: Optional[Callable[..., None]] = None,
317
- ) -> None:
318
- if meth is None:
319
- meth = logger.debug
320
- meth("Could not fetch URL %s: %s - skipping", link, reason)
321
-
322
-
323
- def _make_index_content(
324
- response: Response, cache_link_parsing: bool = True
325
- ) -> IndexContent:
326
- encoding = _get_encoding_from_headers(response.headers)
327
- return IndexContent(
328
- response.content,
329
- response.headers["Content-Type"],
330
- encoding=encoding,
331
- url=response.url,
332
- cache_link_parsing=cache_link_parsing,
333
- )
334
-
335
-
336
- def _get_index_content(link: Link, *, session: PipSession) -> Optional["IndexContent"]:
337
- url = link.url.split("#", 1)[0]
338
-
339
- # Check for VCS schemes that do not support lookup as web pages.
340
- vcs_scheme = _match_vcs_scheme(url)
341
- if vcs_scheme:
342
- logger.warning(
343
- "Cannot look at %s URL %s because it does not support lookup as web pages.",
344
- vcs_scheme,
345
- link,
346
- )
347
- return None
348
-
349
- # Tack index.html onto file:// URLs that point to directories
350
- scheme, _, path, _, _, _ = urllib.parse.urlparse(url)
351
- if scheme == "file" and os.path.isdir(urllib.request.url2pathname(path)):
352
- # add trailing slash if not present so urljoin doesn't trim
353
- # final segment
354
- if not url.endswith("/"):
355
- url += "/"
356
- # TODO: In the future, it would be nice if pip supported PEP 691
357
- # style responses in the file:// URLs, however there's no
358
- # standard file extension for application/vnd.pypi.simple.v1+json
359
- # so we'll need to come up with something on our own.
360
- url = urllib.parse.urljoin(url, "index.html")
361
- logger.debug(" file: URL is directory, getting %s", url)
362
-
363
- try:
364
- resp = _get_simple_response(url, session=session)
365
- except _NotHTTP:
366
- logger.warning(
367
- "Skipping page %s because it looks like an archive, and cannot "
368
- "be checked by a HTTP HEAD request.",
369
- link,
370
- )
371
- except _NotAPIContent as exc:
372
- logger.warning(
373
- "Skipping page %s because the %s request got Content-Type: %s. "
374
- "The only supported Content-Types are application/vnd.pypi.simple.v1+json, "
375
- "application/vnd.pypi.simple.v1+html, and text/html",
376
- link,
377
- exc.request_desc,
378
- exc.content_type,
379
- )
380
- except NetworkConnectionError as exc:
381
- _handle_get_simple_fail(link, exc)
382
- except RetryError as exc:
383
- _handle_get_simple_fail(link, exc)
384
- except SSLError as exc:
385
- reason = "There was a problem confirming the ssl certificate: "
386
- reason += str(exc)
387
- _handle_get_simple_fail(link, reason, meth=logger.info)
388
- except requests.ConnectionError as exc:
389
- _handle_get_simple_fail(link, f"connection error: {exc}")
390
- except requests.Timeout:
391
- _handle_get_simple_fail(link, "timed out")
392
- else:
393
- return _make_index_content(resp, cache_link_parsing=link.cache_link_parsing)
394
- return None
395
-
396
-
397
- class CollectedSources(NamedTuple):
398
- find_links: Sequence[Optional[LinkSource]]
399
- index_urls: Sequence[Optional[LinkSource]]
400
-
401
-
402
- class LinkCollector:
403
-
404
- """
405
- Responsible for collecting Link objects from all configured locations,
406
- making network requests as needed.
407
-
408
- The class's main method is its collect_sources() method.
409
- """
410
-
411
- def __init__(
412
- self,
413
- session: PipSession,
414
- search_scope: SearchScope,
415
- ) -> None:
416
- self.search_scope = search_scope
417
- self.session = session
418
-
419
- @classmethod
420
- def create(
421
- cls,
422
- session: PipSession,
423
- options: Values,
424
- suppress_no_index: bool = False,
425
- ) -> "LinkCollector":
426
- """
427
- :param session: The Session to use to make requests.
428
- :param suppress_no_index: Whether to ignore the --no-index option
429
- when constructing the SearchScope object.
430
- """
431
- index_urls = [options.index_url] + options.extra_index_urls
432
- if options.no_index and not suppress_no_index:
433
- logger.debug(
434
- "Ignoring indexes: %s",
435
- ",".join(redact_auth_from_url(url) for url in index_urls),
436
- )
437
- index_urls = []
438
-
439
- # Make sure find_links is a list before passing to create().
440
- find_links = options.find_links or []
441
-
442
- search_scope = SearchScope.create(
443
- find_links=find_links,
444
- index_urls=index_urls,
445
- no_index=options.no_index,
446
- )
447
- link_collector = LinkCollector(
448
- session=session,
449
- search_scope=search_scope,
450
- )
451
- return link_collector
452
-
453
- @property
454
- def find_links(self) -> List[str]:
455
- return self.search_scope.find_links
456
-
457
- def fetch_response(self, location: Link) -> Optional[IndexContent]:
458
- """
459
- Fetch an HTML page containing package links.
460
- """
461
- return _get_index_content(location, session=self.session)
462
-
463
- def collect_sources(
464
- self,
465
- project_name: str,
466
- candidates_from_page: CandidatesFromPage,
467
- ) -> CollectedSources:
468
- # The OrderedDict calls deduplicate sources by URL.
469
- index_url_sources = collections.OrderedDict(
470
- build_source(
471
- loc,
472
- candidates_from_page=candidates_from_page,
473
- page_validator=self.session.is_secure_origin,
474
- expand_dir=False,
475
- cache_link_parsing=False,
476
- )
477
- for loc in self.search_scope.get_index_urls_locations(project_name)
478
- ).values()
479
- find_links_sources = collections.OrderedDict(
480
- build_source(
481
- loc,
482
- candidates_from_page=candidates_from_page,
483
- page_validator=self.session.is_secure_origin,
484
- expand_dir=True,
485
- cache_link_parsing=True,
486
- )
487
- for loc in self.find_links
488
- ).values()
489
-
490
- if logger.isEnabledFor(logging.DEBUG):
491
- lines = [
492
- f"* {s.link}"
493
- for s in itertools.chain(find_links_sources, index_url_sources)
494
- if s is not None and s.link is not None
495
- ]
496
- lines = [
497
- f"{len(lines)} location(s) to search "
498
- f"for versions of {project_name}:"
499
- ] + lines
500
- logger.debug("\n".join(lines))
501
-
502
- return CollectedSources(
503
- find_links=list(find_links_sources),
504
- index_urls=list(index_url_sources),
505
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/CVPR/Dual-Key_Backdoor_Attacks/openvqa/openvqa/models/mfb/mfb.py DELETED
@@ -1,152 +0,0 @@
1
- # --------------------------------------------------------
2
- # OpenVQA
3
- # Licensed under The MIT License [see LICENSE for details]
4
- # Written by Pengbing Gao https://github.com/nbgao
5
- # --------------------------------------------------------
6
-
7
- from openvqa.ops.fc import MLP
8
- import torch
9
- import torch.nn as nn
10
- import torch.nn.functional as F
11
-
12
-
13
- # -------------------------------------------------------------
14
- # ---- Multi-Model Hign-order Bilinear Pooling Co-Attention----
15
- # -------------------------------------------------------------
16
-
17
-
18
- class MFB(nn.Module):
19
- def __init__(self, __C, img_feat_size, ques_feat_size, is_first):
20
- super(MFB, self).__init__()
21
- self.__C = __C
22
- self.is_first = is_first
23
- self.proj_i = nn.Linear(img_feat_size, __C.MFB_K * __C.MFB_O)
24
- self.proj_q = nn.Linear(ques_feat_size, __C.MFB_K * __C.MFB_O)
25
- self.dropout = nn.Dropout(__C.DROPOUT_R)
26
- self.pool = nn.AvgPool1d(__C.MFB_K, stride=__C.MFB_K)
27
-
28
- def forward(self, img_feat, ques_feat, exp_in=1):
29
- '''
30
- img_feat.size() -> (N, C, img_feat_size) C = 1 or 100
31
- ques_feat.size() -> (N, 1, ques_feat_size)
32
- z.size() -> (N, C, MFB_O)
33
- exp_out.size() -> (N, C, K*O)
34
- '''
35
- batch_size = img_feat.shape[0]
36
- img_feat = self.proj_i(img_feat) # (N, C, K*O)
37
- ques_feat = self.proj_q(ques_feat) # (N, 1, K*O)
38
-
39
- exp_out = img_feat * ques_feat # (N, C, K*O)
40
- exp_out = self.dropout(exp_out) if self.is_first else self.dropout(exp_out * exp_in) # (N, C, K*O)
41
- z = self.pool(exp_out) * self.__C.MFB_K # (N, C, O)
42
- z = torch.sqrt(F.relu(z)) - torch.sqrt(F.relu(-z))
43
- z = F.normalize(z.view(batch_size, -1)) # (N, C*O)
44
- z = z.view(batch_size, -1, self.__C.MFB_O) # (N, C, O)
45
- return z, exp_out
46
-
47
-
48
- class QAtt(nn.Module):
49
- def __init__(self, __C):
50
- super(QAtt, self).__init__()
51
- self.__C = __C
52
- self.mlp = MLP(
53
- in_size=__C.LSTM_OUT_SIZE,
54
- mid_size=__C.HIDDEN_SIZE,
55
- out_size=__C.Q_GLIMPSES,
56
- dropout_r=__C.DROPOUT_R,
57
- use_relu=True
58
- )
59
-
60
- def forward(self, ques_feat):
61
- '''
62
- ques_feat.size() -> (N, T, LSTM_OUT_SIZE)
63
- qatt_feat.size() -> (N, LSTM_OUT_SIZE * Q_GLIMPSES)
64
- '''
65
- qatt_maps = self.mlp(ques_feat) # (N, T, Q_GLIMPSES)
66
- qatt_maps = F.softmax(qatt_maps, dim=1) # (N, T, Q_GLIMPSES)
67
-
68
- qatt_feat_list = []
69
- for i in range(self.__C.Q_GLIMPSES):
70
- mask = qatt_maps[:, :, i:i + 1] # (N, T, 1)
71
- mask = mask * ques_feat # (N, T, LSTM_OUT_SIZE)
72
- mask = torch.sum(mask, dim=1) # (N, LSTM_OUT_SIZE)
73
- qatt_feat_list.append(mask)
74
- qatt_feat = torch.cat(qatt_feat_list, dim=1) # (N, LSTM_OUT_SIZE*Q_GLIMPSES)
75
-
76
- return qatt_feat
77
-
78
-
79
- class IAtt(nn.Module):
80
- def __init__(self, __C, img_feat_size, ques_att_feat_size):
81
- super(IAtt, self).__init__()
82
- self.__C = __C
83
- self.dropout = nn.Dropout(__C.DROPOUT_R)
84
- self.mfb = MFB(__C, img_feat_size, ques_att_feat_size, True)
85
- self.mlp = MLP(
86
- in_size=__C.MFB_O,
87
- mid_size=__C.HIDDEN_SIZE,
88
- out_size=__C.I_GLIMPSES,
89
- dropout_r=__C.DROPOUT_R,
90
- use_relu=True
91
- )
92
-
93
- def forward(self, img_feat, ques_att_feat):
94
- '''
95
- img_feats.size() -> (N, C, FRCN_FEAT_SIZE)
96
- ques_att_feat.size() -> (N, LSTM_OUT_SIZE * Q_GLIMPSES)
97
- iatt_feat.size() -> (N, MFB_O * I_GLIMPSES)
98
- '''
99
- ques_att_feat = ques_att_feat.unsqueeze(1) # (N, 1, LSTM_OUT_SIZE * Q_GLIMPSES)
100
- img_feat = self.dropout(img_feat)
101
- z, _ = self.mfb(img_feat, ques_att_feat) # (N, C, O)
102
-
103
- iatt_maps = self.mlp(z) # (N, C, I_GLIMPSES)
104
- iatt_maps = F.softmax(iatt_maps, dim=1) # (N, C, I_GLIMPSES)
105
-
106
- iatt_feat_list = []
107
- for i in range(self.__C.I_GLIMPSES):
108
- mask = iatt_maps[:, :, i:i + 1] # (N, C, 1)
109
- mask = mask * img_feat # (N, C, FRCN_FEAT_SIZE)
110
- mask = torch.sum(mask, dim=1) # (N, FRCN_FEAT_SIZE)
111
- iatt_feat_list.append(mask)
112
- iatt_feat = torch.cat(iatt_feat_list, dim=1) # (N, FRCN_FEAT_SIZE*I_GLIMPSES)
113
-
114
- return iatt_feat
115
-
116
-
117
- class CoAtt(nn.Module):
118
- def __init__(self, __C):
119
- super(CoAtt, self).__init__()
120
- self.__C = __C
121
-
122
- img_feat_size = __C.FEAT_SIZE[__C.DATASET]['FRCN_FEAT_SIZE'][1]
123
- img_att_feat_size = img_feat_size * __C.I_GLIMPSES
124
- ques_att_feat_size = __C.LSTM_OUT_SIZE * __C.Q_GLIMPSES
125
-
126
- self.q_att = QAtt(__C)
127
- self.i_att = IAtt(__C, img_feat_size, ques_att_feat_size)
128
-
129
- if self.__C.HIGH_ORDER: # MFH
130
- self.mfh1 = MFB(__C, img_att_feat_size, ques_att_feat_size, True)
131
- self.mfh2 = MFB(__C, img_att_feat_size, ques_att_feat_size, False)
132
- else: # MFB
133
- self.mfb = MFB(__C, img_att_feat_size, ques_att_feat_size, True)
134
-
135
- def forward(self, img_feat, ques_feat):
136
- '''
137
- img_feat.size() -> (N, C, FRCN_FEAT_SIZE)
138
- ques_feat.size() -> (N, T, LSTM_OUT_SIZE)
139
- z.size() -> MFH:(N, 2*O) / MFB:(N, O)
140
- '''
141
- ques_feat = self.q_att(ques_feat) # (N, LSTM_OUT_SIZE*Q_GLIMPSES)
142
- fuse_feat = self.i_att(img_feat, ques_feat) # (N, FRCN_FEAT_SIZE*I_GLIMPSES)
143
-
144
- if self.__C.HIGH_ORDER: # MFH
145
- z1, exp1 = self.mfh1(fuse_feat.unsqueeze(1), ques_feat.unsqueeze(1)) # z1:(N, 1, O) exp1:(N, C, K*O)
146
- z2, _ = self.mfh2(fuse_feat.unsqueeze(1), ques_feat.unsqueeze(1), exp1) # z2:(N, 1, O) _:(N, C, K*O)
147
- z = torch.cat((z1.squeeze(1), z2.squeeze(1)), 1) # (N, 2*O)
148
- else: # MFB
149
- z, _ = self.mfb(fuse_feat.unsqueeze(1), ques_feat.unsqueeze(1)) # z:(N, 1, O) _:(N, C, K*O)
150
- z = z.squeeze(1) # (N, O)
151
-
152
- return z
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/CVPR/LIVE/thrust/thrust/detail/complex/catrigf.h DELETED
@@ -1,500 +0,0 @@
1
- /*
2
- * Copyright 2008-2013 NVIDIA Corporation
3
- * Copyright 2013 Filipe RNC Maia
4
- *
5
- * Licensed under the Apache License, Version 2.0 (the "License");
6
- * you may not use this file except in compliance with the License.
7
- * You may obtain a copy of the License at
8
- *
9
- * http://www.apache.org/licenses/LICENSE-2.0
10
- *
11
- * Unless required by applicable law or agreed to in writing, software
12
- * distributed under the License is distributed on an "AS IS" BASIS,
13
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14
- * See the License for the specific language governing permissions and
15
- * limitations under the License.
16
- */
17
-
18
- /*-
19
- * Copyright (c) 2012 Stephen Montgomery-Smith <[email protected]>
20
- * All rights reserved.
21
- *
22
- * Redistribution and use in source and binary forms, with or without
23
- * modification, are permitted provided that the following conditions
24
- * are met:
25
- * 1. Redistributions of source code must retain the above copyright
26
- * notice, this list of conditions and the following disclaimer.
27
- * 2. Redistributions in binary form must reproduce the above copyright
28
- * notice, this list of conditions and the following disclaimer in the
29
- * documentation and/or other materials provided with the distribution.
30
- *
31
- * THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
32
- * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
33
- * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
34
- * ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
35
- * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
36
- * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
37
- * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
38
- * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
39
- * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
40
- * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
41
- * SUCH DAMAGE.
42
- */
43
-
44
- /*
45
- * Adapted from FreeBSD by Filipe Maia <[email protected]>:
46
- * freebsd/lib/msun/src/catrig.c
47
- */
48
-
49
- #pragma once
50
-
51
- #include <thrust/complex.h>
52
- #include <thrust/detail/complex/math_private.h>
53
- #include <thrust/detail/config.h>
54
- #include <cfloat>
55
- #include <cmath>
56
-
57
- namespace thrust{
58
- namespace detail{
59
- namespace complex{
60
-
61
- using thrust::complex;
62
-
63
- __host__ __device__ inline
64
- complex<float> clog_for_large_values(complex<float> z);
65
-
66
- /*
67
- * The algorithm is very close to that in "Implementing the complex arcsine
68
- * and arccosine functions using exception handling" by T. E. Hull, Thomas F.
69
- * Fairgrieve, and Ping Tak Peter Tang, published in ACM Transactions on
70
- * Mathematical Software, Volume 23 Issue 3, 1997, Pages 299-335,
71
- * http://dl.acm.org/citation.cfm?id=275324.
72
- *
73
- * See catrig.c for complete comments.
74
- *
75
- * XXX comments were removed automatically, and even short ones on the right
76
- * of statements were removed (all of them), contrary to normal style. Only
77
- * a few comments on the right of declarations remain.
78
- */
79
-
80
- __host__ __device__
81
- inline float
82
- f(float a, float b, float hypot_a_b)
83
- {
84
- if (b < 0.0f)
85
- return ((hypot_a_b - b) / 2.0f);
86
- if (b == 0.0f)
87
- return (a / 2.0f);
88
- return (a * a / (hypot_a_b + b) / 2.0f);
89
- }
90
-
91
- /*
92
- * All the hard work is contained in this function.
93
- * x and y are assumed positive or zero, and less than RECIP_EPSILON.
94
- * Upon return:
95
- * rx = Re(casinh(z)) = -Im(cacos(y + I*x)).
96
- * B_is_usable is set to 1 if the value of B is usable.
97
- * If B_is_usable is set to 0, sqrt_A2my2 = sqrt(A*A - y*y), and new_y = y.
98
- * If returning sqrt_A2my2 has potential to result in an underflow, it is
99
- * rescaled, and new_y is similarly rescaled.
100
- */
101
- __host__ __device__
102
- inline void
103
- do_hard_work(float x, float y, float *rx, int *B_is_usable, float *B,
104
- float *sqrt_A2my2, float *new_y)
105
- {
106
- float R, S, A; /* A, B, R, and S are as in Hull et al. */
107
- float Am1, Amy; /* A-1, A-y. */
108
- const float A_crossover = 10; /* Hull et al suggest 1.5, but 10 works better */
109
- const float FOUR_SQRT_MIN = 4.336808689942017736029811e-19f;; /* =0x1p-61; >= 4 * sqrt(FLT_MIN) */
110
- const float B_crossover = 0.6417f; /* suggested by Hull et al */
111
- R = hypotf(x, y + 1);
112
- S = hypotf(x, y - 1);
113
-
114
- A = (R + S) / 2;
115
- if (A < 1)
116
- A = 1;
117
-
118
- if (A < A_crossover) {
119
- if (y == 1 && x < FLT_EPSILON * FLT_EPSILON / 128) {
120
- *rx = sqrtf(x);
121
- } else if (x >= FLT_EPSILON * fabsf(y - 1)) {
122
- Am1 = f(x, 1 + y, R) + f(x, 1 - y, S);
123
- *rx = log1pf(Am1 + sqrtf(Am1 * (A + 1)));
124
- } else if (y < 1) {
125
- *rx = x / sqrtf((1 - y) * (1 + y));
126
- } else {
127
- *rx = log1pf((y - 1) + sqrtf((y - 1) * (y + 1)));
128
- }
129
- } else {
130
- *rx = logf(A + sqrtf(A * A - 1));
131
- }
132
-
133
- *new_y = y;
134
-
135
- if (y < FOUR_SQRT_MIN) {
136
- *B_is_usable = 0;
137
- *sqrt_A2my2 = A * (2 / FLT_EPSILON);
138
- *new_y = y * (2 / FLT_EPSILON);
139
- return;
140
- }
141
-
142
- *B = y / A;
143
- *B_is_usable = 1;
144
-
145
- if (*B > B_crossover) {
146
- *B_is_usable = 0;
147
- if (y == 1 && x < FLT_EPSILON / 128) {
148
- *sqrt_A2my2 = sqrtf(x) * sqrtf((A + y) / 2);
149
- } else if (x >= FLT_EPSILON * fabsf(y - 1)) {
150
- Amy = f(x, y + 1, R) + f(x, y - 1, S);
151
- *sqrt_A2my2 = sqrtf(Amy * (A + y));
152
- } else if (y > 1) {
153
- *sqrt_A2my2 = x * (4 / FLT_EPSILON / FLT_EPSILON) * y /
154
- sqrtf((y + 1) * (y - 1));
155
- *new_y = y * (4 / FLT_EPSILON / FLT_EPSILON);
156
- } else {
157
- *sqrt_A2my2 = sqrtf((1 - y) * (1 + y));
158
- }
159
- }
160
-
161
- }
162
-
163
- __host__ __device__ inline
164
- complex<float>
165
- casinhf(complex<float> z)
166
- {
167
- float x, y, ax, ay, rx, ry, B, sqrt_A2my2, new_y;
168
- int B_is_usable;
169
- complex<float> w;
170
- const float RECIP_EPSILON = 1.0 / FLT_EPSILON;
171
- const float m_ln2 = 6.9314718055994531e-1f; /* 0x162e42fefa39ef.0p-53 */
172
- x = z.real();
173
- y = z.imag();
174
- ax = fabsf(x);
175
- ay = fabsf(y);
176
-
177
- if (isnan(x) || isnan(y)) {
178
- if (isinf(x))
179
- return (complex<float>(x, y + y));
180
- if (isinf(y))
181
- return (complex<float>(y, x + x));
182
- if (y == 0)
183
- return (complex<float>(x + x, y));
184
- return (complex<float>(x + 0.0f + (y + 0), x + 0.0f + (y + 0)));
185
- }
186
-
187
- if (ax > RECIP_EPSILON || ay > RECIP_EPSILON) {
188
- if (signbit(x) == 0)
189
- w = clog_for_large_values(z) + m_ln2;
190
- else
191
- w = clog_for_large_values(-z) + m_ln2;
192
- return (complex<float>(copysignf(w.real(), x),
193
- copysignf(w.imag(), y)));
194
- }
195
-
196
- if (x == 0 && y == 0)
197
- return (z);
198
-
199
- raise_inexact();
200
-
201
- const float SQRT_6_EPSILON = 8.4572793338e-4f; /* 0xddb3d7.0p-34 */
202
- if (ax < SQRT_6_EPSILON / 4 && ay < SQRT_6_EPSILON / 4)
203
- return (z);
204
-
205
- do_hard_work(ax, ay, &rx, &B_is_usable, &B, &sqrt_A2my2, &new_y);
206
- if (B_is_usable)
207
- ry = asinf(B);
208
- else
209
- ry = atan2f(new_y, sqrt_A2my2);
210
- return (complex<float>(copysignf(rx, x), copysignf(ry, y)));
211
- }
212
-
213
- __host__ __device__ inline
214
- complex<float> casinf(complex<float> z)
215
- {
216
- complex<float> w = casinhf(complex<float>(z.imag(), z.real()));
217
-
218
- return (complex<float>(w.imag(), w.real()));
219
- }
220
-
221
- __host__ __device__ inline
222
- complex<float> cacosf(complex<float> z)
223
- {
224
- float x, y, ax, ay, rx, ry, B, sqrt_A2mx2, new_x;
225
- int sx, sy;
226
- int B_is_usable;
227
- complex<float> w;
228
- const float pio2_hi = 1.5707963267948966e0f; /* 0x1921fb54442d18.0p-52 */
229
- const volatile float pio2_lo = 6.1232339957367659e-17f; /* 0x11a62633145c07.0p-106 */
230
- const float m_ln2 = 6.9314718055994531e-1f; /* 0x162e42fefa39ef.0p-53 */
231
-
232
- x = z.real();
233
- y = z.imag();
234
- sx = signbit(x);
235
- sy = signbit(y);
236
- ax = fabsf(x);
237
- ay = fabsf(y);
238
-
239
- if (isnan(x) || isnan(y)) {
240
- if (isinf(x))
241
- return (complex<float>(y + y, -infinity<float>()));
242
- if (isinf(y))
243
- return (complex<float>(x + x, -y));
244
- if (x == 0)
245
- return (complex<float>(pio2_hi + pio2_lo, y + y));
246
- return (complex<float>(x + 0.0f + (y + 0), x + 0.0f + (y + 0)));
247
- }
248
-
249
- const float RECIP_EPSILON = 1.0 / FLT_EPSILON;
250
- if (ax > RECIP_EPSILON || ay > RECIP_EPSILON) {
251
- w = clog_for_large_values(z);
252
- rx = fabsf(w.imag());
253
- ry = w.real() + m_ln2;
254
- if (sy == 0)
255
- ry = -ry;
256
- return (complex<float>(rx, ry));
257
- }
258
-
259
- if (x == 1 && y == 0)
260
- return (complex<float>(0, -y));
261
-
262
- raise_inexact();
263
-
264
- const float SQRT_6_EPSILON = 8.4572793338e-4f; /* 0xddb3d7.0p-34 */
265
- if (ax < SQRT_6_EPSILON / 4 && ay < SQRT_6_EPSILON / 4)
266
- return (complex<float>(pio2_hi - (x - pio2_lo), -y));
267
-
268
- do_hard_work(ay, ax, &ry, &B_is_usable, &B, &sqrt_A2mx2, &new_x);
269
- if (B_is_usable) {
270
- if (sx == 0)
271
- rx = acosf(B);
272
- else
273
- rx = acosf(-B);
274
- } else {
275
- if (sx == 0)
276
- rx = atan2f(sqrt_A2mx2, new_x);
277
- else
278
- rx = atan2f(sqrt_A2mx2, -new_x);
279
- }
280
- if (sy == 0)
281
- ry = -ry;
282
- return (complex<float>(rx, ry));
283
- }
284
-
285
- __host__ __device__ inline
286
- complex<float> cacoshf(complex<float> z)
287
- {
288
- complex<float> w;
289
- float rx, ry;
290
-
291
- w = cacosf(z);
292
- rx = w.real();
293
- ry = w.imag();
294
- /* cacosh(NaN + I*NaN) = NaN + I*NaN */
295
- if (isnan(rx) && isnan(ry))
296
- return (complex<float>(ry, rx));
297
- /* cacosh(NaN + I*+-Inf) = +Inf + I*NaN */
298
- /* cacosh(+-Inf + I*NaN) = +Inf + I*NaN */
299
- if (isnan(rx))
300
- return (complex<float>(fabsf(ry), rx));
301
- /* cacosh(0 + I*NaN) = NaN + I*NaN */
302
- if (isnan(ry))
303
- return (complex<float>(ry, ry));
304
- return (complex<float>(fabsf(ry), copysignf(rx, z.imag())));
305
- }
306
-
307
- /*
308
- * Optimized version of clog() for |z| finite and larger than ~RECIP_EPSILON.
309
- */
310
- __host__ __device__ inline
311
- complex<float> clog_for_large_values(complex<float> z)
312
- {
313
- float x, y;
314
- float ax, ay, t;
315
- const float m_e = 2.7182818284590452e0f; /* 0x15bf0a8b145769.0p-51 */
316
-
317
- x = z.real();
318
- y = z.imag();
319
- ax = fabsf(x);
320
- ay = fabsf(y);
321
- if (ax < ay) {
322
- t = ax;
323
- ax = ay;
324
- ay = t;
325
- }
326
-
327
- if (ax > FLT_MAX / 2)
328
- return (complex<float>(logf(hypotf(x / m_e, y / m_e)) + 1,
329
- atan2f(y, x)));
330
-
331
- const float QUARTER_SQRT_MAX = 2.3058430092136939520000000e+18f; /* = 0x1p61; <= sqrt(FLT_MAX) / 4 */
332
- const float SQRT_MIN = 1.084202172485504434007453e-19f; /* 0x1p-63; >= sqrt(FLT_MIN) */
333
- if (ax > QUARTER_SQRT_MAX || ay < SQRT_MIN)
334
- return (complex<float>(logf(hypotf(x, y)), atan2f(y, x)));
335
-
336
- return (complex<float>(logf(ax * ax + ay * ay) / 2, atan2f(y, x)));
337
- }
338
-
339
- /*
340
- * =================
341
- * | catanh, catan |
342
- * =================
343
- */
344
-
345
- /*
346
- * sum_squares(x,y) = x*x + y*y (or just x*x if y*y would underflow).
347
- * Assumes x*x and y*y will not overflow.
348
- * Assumes x and y are finite.
349
- * Assumes y is non-negative.
350
- * Assumes fabsf(x) >= FLT_EPSILON.
351
- */
352
- __host__ __device__
353
- inline float sum_squares(float x, float y)
354
- {
355
- const float SQRT_MIN = 1.084202172485504434007453e-19f; /* 0x1p-63; >= sqrt(FLT_MIN) */
356
- /* Avoid underflow when y is small. */
357
- if (y < SQRT_MIN)
358
- return (x * x);
359
-
360
- return (x * x + y * y);
361
- }
362
-
363
- __host__ __device__
364
- inline float real_part_reciprocal(float x, float y)
365
- {
366
- float scale;
367
- uint32_t hx, hy;
368
- int32_t ix, iy;
369
-
370
- get_float_word(hx, x);
371
- ix = hx & 0x7f800000;
372
- get_float_word(hy, y);
373
- iy = hy & 0x7f800000;
374
- //#define BIAS (FLT_MAX_EXP - 1)
375
- const int BIAS = FLT_MAX_EXP - 1;
376
- //#define CUTOFF (FLT_MANT_DIG / 2 + 1)
377
- const int CUTOFF = (FLT_MANT_DIG / 2 + 1);
378
- if (ix - iy >= CUTOFF << 23 || isinf(x))
379
- return (1 / x);
380
- if (iy - ix >= CUTOFF << 23)
381
- return (x / y / y);
382
- if (ix <= (BIAS + FLT_MAX_EXP / 2 - CUTOFF) << 23)
383
- return (x / (x * x + y * y));
384
- set_float_word(scale, 0x7f800000 - ix);
385
- x *= scale;
386
- y *= scale;
387
- return (x / (x * x + y * y) * scale);
388
- }
389
-
390
- #if THRUST_CPP_DIALECT >= 2011 || THRUST_HOST_COMPILER != THRUST_HOST_COMPILER_MSVC
391
- __host__ __device__ inline
392
- complex<float> catanhf(complex<float> z)
393
- {
394
- float x, y, ax, ay, rx, ry;
395
- const volatile float pio2_lo = 6.1232339957367659e-17f; /* 0x11a62633145c07.0p-106 */
396
- const float pio2_hi = 1.5707963267948966e0f;/* 0x1921fb54442d18.0p-52 */
397
-
398
-
399
- x = z.real();
400
- y = z.imag();
401
- ax = fabsf(x);
402
- ay = fabsf(y);
403
-
404
-
405
- if (y == 0 && ax <= 1)
406
- return (complex<float>(atanhf(x), y));
407
-
408
- if (x == 0)
409
- return (complex<float>(x, atanf(y)));
410
-
411
- if (isnan(x) || isnan(y)) {
412
- if (isinf(x))
413
- return (complex<float>(copysignf(0, x), y + y));
414
- if (isinf(y))
415
- return (complex<float>(copysignf(0, x),
416
- copysignf(pio2_hi + pio2_lo, y)));
417
- return (complex<float>(x + 0.0f + (y + 0.0f), x + 0.0f + (y + 0.0f)));
418
- }
419
-
420
- const float RECIP_EPSILON = 1.0f / FLT_EPSILON;
421
- if (ax > RECIP_EPSILON || ay > RECIP_EPSILON)
422
- return (complex<float>(real_part_reciprocal(x, y),
423
- copysignf(pio2_hi + pio2_lo, y)));
424
-
425
- const float SQRT_3_EPSILON = 5.9801995673e-4f; /* 0x9cc471.0p-34 */
426
- if (ax < SQRT_3_EPSILON / 2 && ay < SQRT_3_EPSILON / 2) {
427
- raise_inexact();
428
- return (z);
429
- }
430
-
431
- const float m_ln2 = 6.9314718056e-1f; /* 0xb17218.0p-24 */
432
- if (ax == 1 && ay < FLT_EPSILON)
433
- rx = (m_ln2 - logf(ay)) / 2;
434
- else
435
- rx = log1pf(4 * ax / sum_squares(ax - 1, ay)) / 4;
436
-
437
- if (ax == 1)
438
- ry = atan2f(2, -ay) / 2;
439
- else if (ay < FLT_EPSILON)
440
- ry = atan2f(2 * ay, (1 - ax) * (1 + ax)) / 2;
441
- else
442
- ry = atan2f(2 * ay, (1 - ax) * (1 + ax) - ay * ay) / 2;
443
-
444
- return (complex<float>(copysignf(rx, x), copysignf(ry, y)));
445
- }
446
-
447
- __host__ __device__ inline
448
- complex<float>catanf(complex<float> z){
449
- complex<float> w = catanhf(complex<float>(z.imag(), z.real()));
450
- return (complex<float>(w.imag(), w.real()));
451
- }
452
- #endif
453
-
454
- } // namespace complex
455
-
456
- } // namespace detail
457
-
458
-
459
- template <>
460
- __host__ __device__
461
- inline complex<float> acos(const complex<float>& z){
462
- return detail::complex::cacosf(z);
463
- }
464
-
465
- template <>
466
- __host__ __device__
467
- inline complex<float> asin(const complex<float>& z){
468
- return detail::complex::casinf(z);
469
- }
470
-
471
- #if THRUST_CPP_DIALECT >= 2011 || THRUST_HOST_COMPILER != THRUST_HOST_COMPILER_MSVC
472
- template <>
473
- __host__ __device__
474
- inline complex<float> atan(const complex<float>& z){
475
- return detail::complex::catanf(z);
476
- }
477
- #endif
478
-
479
- template <>
480
- __host__ __device__
481
- inline complex<float> acosh(const complex<float>& z){
482
- return detail::complex::cacoshf(z);
483
- }
484
-
485
-
486
- template <>
487
- __host__ __device__
488
- inline complex<float> asinh(const complex<float>& z){
489
- return detail::complex::casinhf(z);
490
- }
491
-
492
- #if THRUST_CPP_DIALECT >= 2011 || THRUST_HOST_COMPILER != THRUST_HOST_COMPILER_MSVC
493
- template <>
494
- __host__ __device__
495
- inline complex<float> atanh(const complex<float>& z){
496
- return detail::complex::catanhf(z);
497
- }
498
- #endif
499
-
500
- } // namespace thrust
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/binary_search.h DELETED
@@ -1,44 +0,0 @@
1
- /*
2
- * Copyright 2008-2013 NVIDIA Corporation
3
- *
4
- * Licensed under the Apache License, Version 2.0 (the "License");
5
- * you may not use this file except in compliance with the License.
6
- * You may obtain a copy of the License at
7
- *
8
- * http://www.apache.org/licenses/LICENSE-2.0
9
- *
10
- * Unless required by applicable law or agreed to in writing, software
11
- * distributed under the License is distributed on an "AS IS" BASIS,
12
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- * See the License for the specific language governing permissions and
14
- * limitations under the License.
15
- */
16
-
17
- #pragma once
18
-
19
- #include <thrust/detail/config.h>
20
-
21
- // the purpose of this header is to #include the binary_search.h header
22
- // of the sequential, host, and device systems. It should be #included in any
23
- // code which uses adl to dispatch binary_search
24
-
25
- #include <thrust/system/detail/sequential/binary_search.h>
26
-
27
- // SCons can't see through the #defines below to figure out what this header
28
- // includes, so we fake it out by specifying all possible files we might end up
29
- // including inside an #if 0.
30
- #if 0
31
- #include <thrust/system/cpp/detail/binary_search.h>
32
- #include <thrust/system/cuda/detail/binary_search.h>
33
- #include <thrust/system/omp/detail/binary_search.h>
34
- #include <thrust/system/tbb/detail/binary_search.h>
35
- #endif
36
-
37
- #define __THRUST_HOST_SYSTEM_BINARY_SEARCH_HEADER <__THRUST_HOST_SYSTEM_ROOT/detail/binary_search.h>
38
- #include __THRUST_HOST_SYSTEM_BINARY_SEARCH_HEADER
39
- #undef __THRUST_HOST_SYSTEM_BINARY_SEARCH_HEADER
40
-
41
- #define __THRUST_DEVICE_SYSTEM_BINARY_SEARCH_HEADER <__THRUST_DEVICE_SYSTEM_ROOT/detail/binary_search.h>
42
- #include __THRUST_DEVICE_SYSTEM_BINARY_SEARCH_HEADER
43
- #undef __THRUST_DEVICE_SYSTEM_BINARY_SEARCH_HEADER
44
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/CVPR/lama-example/saicinpainting/training/visualizers/__init__.py DELETED
@@ -1,15 +0,0 @@
1
- import logging
2
-
3
- from saicinpainting.training.visualizers.directory import DirectoryVisualizer
4
- from saicinpainting.training.visualizers.noop import NoopVisualizer
5
-
6
-
7
- def make_visualizer(kind, **kwargs):
8
- logging.info(f'Make visualizer {kind}')
9
-
10
- if kind == 'directory':
11
- return DirectoryVisualizer(**kwargs)
12
- if kind == 'noop':
13
- return NoopVisualizer()
14
-
15
- raise ValueError(f'Unknown visualizer kind {kind}')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Celestinian/Nora-Inference/app.py DELETED
@@ -1,36 +0,0 @@
1
- from transformers import AutoTokenizer, AutoModelForCausalLM, AdapterType, GPT2LMHeadModel
2
- from transformers.adapters import AdapterConfig
3
- import gradio as gr
4
- import torch
5
- import git
6
-
7
- device = "cuda" if torch.cuda.is_available() else "cpu"
8
-
9
- model_name = "GPT2-xl"
10
- tokenizer = AutoTokenizer.from_pretrained(model_name)
11
- model = AutoModelForCausalLM.from_pretrained(model_name)
12
-
13
- git.Repo.clone_from("https://huggingface.co/Celestinian/Nora-Adapter", "Nora")
14
-
15
- astraiabv = model.load_adapter("./Nora", config="./Nora/adapter_config.json")
16
- model.set_active_adapters(astraiabv)
17
-
18
- def generate_text(prompt, max_length, do_sample, temperature):
19
- prompt = tokenizer(prompt + " >>>", return_tensors='pt')
20
- prompt = {key: value.to(device) for key, value in prompt.items()}
21
- out = model.generate(**prompt, max_length=max_length, do_sample=do_sample, temperature=temperature, no_repeat_ngram_size=3)
22
- output = tokenizer.decode(out[0])
23
- clean_output = output.replace('\n', '\n')
24
- print(clean_output)
25
- return clean_output
26
-
27
- input_text = gr.inputs.Textbox(lines=5, label="Input Text")
28
- max_length_input = gr.inputs.Number(default=30, label="Max Length")
29
- do_sample_input = gr.inputs.Checkbox(default=True, label="Do Sample")
30
- temperature_input = gr.inputs.Slider(minimum=0.01, maximum=1, step=0.01, default=0.04, label="Temperature")
31
-
32
- output_text = gr.outputs.Textbox(label="Generated Text")
33
-
34
- disclaimer = "Nora, an experimental compact model with 1.5 billion parameters, demonstrates impressive proficiency when it comes to answering questions and executing diverse tasks such as composing poems, songs, and generating lists. It is essential to acknowledge, however, that she is not a conversational model designed for universal purposes and may occasionally produce incorrect information."
35
-
36
- gr.Interface(generate_text, inputs=[input_text, max_length_input, do_sample_input, temperature_input], outputs=output_text, description=disclaimer).launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Cvandi/remake/Training.md DELETED
@@ -1,100 +0,0 @@
1
- # :computer: How to Train Real-ESRGAN
2
-
3
- The training codes have been released. <br>
4
- Note that the codes have a lot of refactoring. So there may be some bugs/performance drops. Welcome to report issues and I will also retrain the models.
5
-
6
- ## Overview
7
-
8
- The training has been divided into two stages. These two stages have the same data synthesis process and training pipeline, except for the loss functions. Specifically,
9
-
10
- 1. We first train Real-ESRNet with L1 loss from the pre-trained model ESRGAN.
11
- 1. We then use the trained Real-ESRNet model as an initialization of the generator, and train the Real-ESRGAN with a combination of L1 loss, perceptual loss and GAN loss.
12
-
13
- ## Dataset Preparation
14
-
15
- We use DF2K (DIV2K and Flickr2K) + OST datasets for our training. Only HR images are required. <br>
16
- You can download from :
17
-
18
- 1. DIV2K: http://data.vision.ee.ethz.ch/cvl/DIV2K/DIV2K_train_HR.zip
19
- 2. Flickr2K: https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar
20
- 3. OST: https://openmmlab.oss-cn-hangzhou.aliyuncs.com/datasets/OST_dataset.zip
21
-
22
- For the DF2K dataset, we use a multi-scale strategy, *i.e.*, we downsample HR images to obtain several Ground-Truth images with different scales.
23
-
24
- We then crop DF2K images into sub-images for faster IO and processing.
25
-
26
- You need to prepare a txt file containing the image paths. The following are some examples in `meta_info_DF2Kmultiscale+OST_sub.txt` (As different users may have different sub-images partitions, this file is not suitable for your purpose and you need to prepare your own txt file):
27
-
28
- ```txt
29
- DF2K_HR_sub/000001_s001.png
30
- DF2K_HR_sub/000001_s002.png
31
- DF2K_HR_sub/000001_s003.png
32
- ...
33
- ```
34
-
35
- ## Train Real-ESRNet
36
-
37
- 1. Download pre-trained model [ESRGAN](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth) into `experiments/pretrained_models`.
38
- ```bash
39
- wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth -P experiments/pretrained_models
40
- ```
41
- 1. Modify the content in the option file `options/train_realesrnet_x4plus.yml` accordingly:
42
- ```yml
43
- train:
44
- name: DF2K+OST
45
- type: RealESRGANDataset
46
- dataroot_gt: datasets/DF2K # modify to the root path of your folder
47
- meta_info: realesrgan/meta_info/meta_info_DF2Kmultiscale+OST_sub.txt # modify to your own generate meta info txt
48
- io_backend:
49
- type: disk
50
- ```
51
- 1. If you want to perform validation during training, uncomment those lines and modify accordingly:
52
- ```yml
53
- # Uncomment these for validation
54
- # val:
55
- # name: validation
56
- # type: PairedImageDataset
57
- # dataroot_gt: path_to_gt
58
- # dataroot_lq: path_to_lq
59
- # io_backend:
60
- # type: disk
61
-
62
- ...
63
-
64
- # Uncomment these for validation
65
- # validation settings
66
- # val:
67
- # val_freq: !!float 5e3
68
- # save_img: True
69
-
70
- # metrics:
71
- # psnr: # metric name, can be arbitrary
72
- # type: calculate_psnr
73
- # crop_border: 4
74
- # test_y_channel: false
75
- ```
76
- 1. Before the formal training, you may run in the `--debug` mode to see whether everything is OK. We use four GPUs for training:
77
- ```bash
78
- CUDA_VISIBLE_DEVICES=0,1,2,3 \
79
- python -m torch.distributed.launch --nproc_per_node=4 --master_port=4321 realesrgan/train.py -opt options/train_realesrnet_x4plus.yml --launcher pytorch --debug
80
- ```
81
- 1. The formal training. We use four GPUs for training. We use the `--auto_resume` argument to automatically resume the training if necessary.
82
- ```bash
83
- CUDA_VISIBLE_DEVICES=0,1,2,3 \
84
- python -m torch.distributed.launch --nproc_per_node=4 --master_port=4321 realesrgan/train.py -opt options/train_realesrnet_x4plus.yml --launcher pytorch --auto_resume
85
- ```
86
-
87
- ## Train Real-ESRGAN
88
-
89
- 1. After the training of Real-ESRNet, you now have the file `experiments/train_RealESRNetx4plus_1000k_B12G4_fromESRGAN/model/net_g_1000000.pth`. If you need to specify the pre-trained path to other files, modify the `pretrain_network_g` value in the option file `train_realesrgan_x4plus.yml`.
90
- 1. Modify the option file `train_realesrgan_x4plus.yml` accordingly. Most modifications are similar to those listed above.
91
- 1. Before the formal training, you may run in the `--debug` mode to see whether everything is OK. We use four GPUs for training:
92
- ```bash
93
- CUDA_VISIBLE_DEVICES=0,1,2,3 \
94
- python -m torch.distributed.launch --nproc_per_node=4 --master_port=4321 realesrgan/train.py -opt options/train_realesrgan_x4plus.yml --launcher pytorch --debug
95
- ```
96
- 1. The formal training. We use four GPUs for training. We use the `--auto_resume` argument to automatically resume the training if necessary.
97
- ```bash
98
- CUDA_VISIBLE_DEVICES=0,1,2,3 \
99
- python -m torch.distributed.launch --nproc_per_node=4 --master_port=4321 realesrgan/train.py -opt options/train_realesrgan_x4plus.yml --launcher pytorch --auto_resume
100
- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/DAMO-NLP-SG/Video-LLaMA/video_llama/models/blip2.py DELETED
@@ -1,222 +0,0 @@
1
- """
2
- Adapted from salesforce@LAVIS. Below is the original copyright:
3
- Copyright (c) 2023, salesforce.com, inc.
4
- All rights reserved.
5
- SPDX-License-Identifier: BSD-3-Clause
6
- For full license text, see the LICENSE_Lavis file in the repo root or https://opensource.org/licenses/BSD-3-Clause
7
- """
8
- import contextlib
9
- import logging
10
- import os
11
- import time
12
- import datetime
13
-
14
- import torch
15
- import torch.nn as nn
16
- import torch.distributed as dist
17
- import torch.nn.functional as F
18
-
19
- import video_llama.common.dist_utils as dist_utils
20
- from video_llama.common.dist_utils import download_cached_file
21
- from video_llama.common.utils import is_url
22
- from video_llama.common.logger import MetricLogger
23
- from video_llama.models.base_model import BaseModel
24
- from video_llama.models.Qformer import BertConfig, BertLMHeadModel
25
- from video_llama.models.eva_vit import create_eva_vit_g
26
- from transformers import BertTokenizer
27
-
28
-
29
- class Blip2Base(BaseModel):
30
- @classmethod
31
- def init_tokenizer(cls):
32
- tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
33
- tokenizer.add_special_tokens({"bos_token": "[DEC]"})
34
- return tokenizer
35
-
36
- def maybe_autocast(self, dtype=torch.float16):
37
- # if on cpu, don't use autocast
38
- # if on gpu, use autocast with dtype if provided, otherwise use torch.float16
39
- enable_autocast = self.device != torch.device("cpu")
40
-
41
- if enable_autocast:
42
- return torch.cuda.amp.autocast(dtype=dtype)
43
- else:
44
- return contextlib.nullcontext()
45
-
46
- @classmethod
47
- def init_Qformer(cls, num_query_token, vision_width, cross_attention_freq=2):
48
- encoder_config = BertConfig.from_pretrained("bert-base-uncased")
49
- encoder_config.encoder_width = vision_width
50
- # insert cross-attention layer every other block
51
- encoder_config.add_cross_attention = True
52
- encoder_config.cross_attention_freq = cross_attention_freq
53
- encoder_config.query_length = num_query_token
54
- Qformer = BertLMHeadModel(config=encoder_config)
55
- query_tokens = nn.Parameter(
56
- torch.zeros(1, num_query_token, encoder_config.hidden_size)
57
- )
58
- query_tokens.data.normal_(mean=0.0, std=encoder_config.initializer_range)
59
- return Qformer, query_tokens
60
-
61
- @classmethod
62
- def init_vision_encoder(
63
- cls, model_name, img_size, drop_path_rate, use_grad_checkpoint, precision
64
- ):
65
- assert model_name == "eva_clip_g", "vit model must be eva_clip_g for current version of MiniGPT-4"
66
- visual_encoder = create_eva_vit_g(
67
- img_size, drop_path_rate, use_grad_checkpoint, precision
68
- )
69
-
70
- ln_vision = LayerNorm(visual_encoder.num_features)
71
- return visual_encoder, ln_vision
72
-
73
- def load_from_pretrained(self, url_or_filename):
74
- if is_url(url_or_filename):
75
- cached_file = download_cached_file(
76
- url_or_filename, check_hash=False, progress=True
77
- )
78
- checkpoint = torch.load(cached_file, map_location="cpu")
79
- elif os.path.isfile(url_or_filename):
80
- checkpoint = torch.load(url_or_filename, map_location="cpu")
81
- else:
82
- raise RuntimeError("checkpoint url or path is invalid")
83
-
84
- state_dict = checkpoint["model"]
85
-
86
- msg = self.load_state_dict(state_dict, strict=False)
87
-
88
- # logging.info("Missing keys {}".format(msg.missing_keys))
89
- logging.info("load checkpoint from %s" % url_or_filename)
90
-
91
- return msg
92
-
93
-
94
- def disabled_train(self, mode=True):
95
- """Overwrite model.train with this function to make sure train/eval mode
96
- does not change anymore."""
97
- return self
98
-
99
-
100
- class LayerNorm(nn.LayerNorm):
101
- """Subclass torch's LayerNorm to handle fp16."""
102
-
103
- def forward(self, x: torch.Tensor):
104
- orig_type = x.dtype
105
- ret = super().forward(x.type(torch.float32))
106
- return ret.type(orig_type)
107
-
108
-
109
- def compute_sim_matrix(model, data_loader, **kwargs):
110
- k_test = kwargs.pop("k_test")
111
-
112
- metric_logger = MetricLogger(delimiter=" ")
113
- header = "Evaluation:"
114
-
115
- logging.info("Computing features for evaluation...")
116
- start_time = time.time()
117
-
118
- texts = data_loader.dataset.text
119
- num_text = len(texts)
120
- text_bs = 256
121
- text_ids = []
122
- text_embeds = []
123
- text_atts = []
124
- for i in range(0, num_text, text_bs):
125
- text = texts[i : min(num_text, i + text_bs)]
126
- text_input = model.tokenizer(
127
- text,
128
- padding="max_length",
129
- truncation=True,
130
- max_length=35,
131
- return_tensors="pt",
132
- ).to(model.device)
133
- text_feat = model.forward_text(text_input)
134
- text_embed = F.normalize(model.text_proj(text_feat))
135
- text_embeds.append(text_embed)
136
- text_ids.append(text_input.input_ids)
137
- text_atts.append(text_input.attention_mask)
138
-
139
- text_embeds = torch.cat(text_embeds, dim=0)
140
- text_ids = torch.cat(text_ids, dim=0)
141
- text_atts = torch.cat(text_atts, dim=0)
142
-
143
- vit_feats = []
144
- image_embeds = []
145
- for samples in data_loader:
146
- image = samples["image"]
147
-
148
- image = image.to(model.device)
149
- image_feat, vit_feat = model.forward_image(image)
150
- image_embed = model.vision_proj(image_feat)
151
- image_embed = F.normalize(image_embed, dim=-1)
152
-
153
- vit_feats.append(vit_feat.cpu())
154
- image_embeds.append(image_embed)
155
-
156
- vit_feats = torch.cat(vit_feats, dim=0)
157
- image_embeds = torch.cat(image_embeds, dim=0)
158
-
159
- sims_matrix = []
160
- for image_embed in image_embeds:
161
- sim_q2t = image_embed @ text_embeds.t()
162
- sim_i2t, _ = sim_q2t.max(0)
163
- sims_matrix.append(sim_i2t)
164
- sims_matrix = torch.stack(sims_matrix, dim=0)
165
-
166
- score_matrix_i2t = torch.full(
167
- (len(data_loader.dataset.image), len(texts)), -100.0
168
- ).to(model.device)
169
-
170
- num_tasks = dist_utils.get_world_size()
171
- rank = dist_utils.get_rank()
172
- step = sims_matrix.size(0) // num_tasks + 1
173
- start = rank * step
174
- end = min(sims_matrix.size(0), start + step)
175
-
176
- for i, sims in enumerate(
177
- metric_logger.log_every(sims_matrix[start:end], 50, header)
178
- ):
179
- topk_sim, topk_idx = sims.topk(k=k_test, dim=0)
180
- image_inputs = vit_feats[start + i].repeat(k_test, 1, 1).to(model.device)
181
- score = model.compute_itm(
182
- image_inputs=image_inputs,
183
- text_ids=text_ids[topk_idx],
184
- text_atts=text_atts[topk_idx],
185
- ).float()
186
- score_matrix_i2t[start + i, topk_idx] = score + topk_sim
187
-
188
- sims_matrix = sims_matrix.t()
189
- score_matrix_t2i = torch.full(
190
- (len(texts), len(data_loader.dataset.image)), -100.0
191
- ).to(model.device)
192
-
193
- step = sims_matrix.size(0) // num_tasks + 1
194
- start = rank * step
195
- end = min(sims_matrix.size(0), start + step)
196
-
197
- for i, sims in enumerate(
198
- metric_logger.log_every(sims_matrix[start:end], 50, header)
199
- ):
200
- topk_sim, topk_idx = sims.topk(k=k_test, dim=0)
201
- image_inputs = vit_feats[topk_idx.cpu()].to(model.device)
202
- score = model.compute_itm(
203
- image_inputs=image_inputs,
204
- text_ids=text_ids[start + i].repeat(k_test, 1),
205
- text_atts=text_atts[start + i].repeat(k_test, 1),
206
- ).float()
207
- score_matrix_t2i[start + i, topk_idx] = score + topk_sim
208
-
209
- if dist_utils.is_dist_avail_and_initialized():
210
- dist.barrier()
211
- torch.distributed.all_reduce(
212
- score_matrix_i2t, op=torch.distributed.ReduceOp.SUM
213
- )
214
- torch.distributed.all_reduce(
215
- score_matrix_t2i, op=torch.distributed.ReduceOp.SUM
216
- )
217
-
218
- total_time = time.time() - start_time
219
- total_time_str = str(datetime.timedelta(seconds=int(total_time)))
220
- logging.info("Evaluation time {}".format(total_time_str))
221
-
222
- return score_matrix_i2t.cpu().numpy(), score_matrix_t2i.cpu().numpy()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/click/__init__.py DELETED
@@ -1,73 +0,0 @@
1
- """
2
- Click is a simple Python module inspired by the stdlib optparse to make
3
- writing command line scripts fun. Unlike other modules, it's based
4
- around a simple API that does not come with too much magic and is
5
- composable.
6
- """
7
- from .core import Argument as Argument
8
- from .core import BaseCommand as BaseCommand
9
- from .core import Command as Command
10
- from .core import CommandCollection as CommandCollection
11
- from .core import Context as Context
12
- from .core import Group as Group
13
- from .core import MultiCommand as MultiCommand
14
- from .core import Option as Option
15
- from .core import Parameter as Parameter
16
- from .decorators import argument as argument
17
- from .decorators import command as command
18
- from .decorators import confirmation_option as confirmation_option
19
- from .decorators import group as group
20
- from .decorators import help_option as help_option
21
- from .decorators import make_pass_decorator as make_pass_decorator
22
- from .decorators import option as option
23
- from .decorators import pass_context as pass_context
24
- from .decorators import pass_obj as pass_obj
25
- from .decorators import password_option as password_option
26
- from .decorators import version_option as version_option
27
- from .exceptions import Abort as Abort
28
- from .exceptions import BadArgumentUsage as BadArgumentUsage
29
- from .exceptions import BadOptionUsage as BadOptionUsage
30
- from .exceptions import BadParameter as BadParameter
31
- from .exceptions import ClickException as ClickException
32
- from .exceptions import FileError as FileError
33
- from .exceptions import MissingParameter as MissingParameter
34
- from .exceptions import NoSuchOption as NoSuchOption
35
- from .exceptions import UsageError as UsageError
36
- from .formatting import HelpFormatter as HelpFormatter
37
- from .formatting import wrap_text as wrap_text
38
- from .globals import get_current_context as get_current_context
39
- from .parser import OptionParser as OptionParser
40
- from .termui import clear as clear
41
- from .termui import confirm as confirm
42
- from .termui import echo_via_pager as echo_via_pager
43
- from .termui import edit as edit
44
- from .termui import getchar as getchar
45
- from .termui import launch as launch
46
- from .termui import pause as pause
47
- from .termui import progressbar as progressbar
48
- from .termui import prompt as prompt
49
- from .termui import secho as secho
50
- from .termui import style as style
51
- from .termui import unstyle as unstyle
52
- from .types import BOOL as BOOL
53
- from .types import Choice as Choice
54
- from .types import DateTime as DateTime
55
- from .types import File as File
56
- from .types import FLOAT as FLOAT
57
- from .types import FloatRange as FloatRange
58
- from .types import INT as INT
59
- from .types import IntRange as IntRange
60
- from .types import ParamType as ParamType
61
- from .types import Path as Path
62
- from .types import STRING as STRING
63
- from .types import Tuple as Tuple
64
- from .types import UNPROCESSED as UNPROCESSED
65
- from .types import UUID as UUID
66
- from .utils import echo as echo
67
- from .utils import format_filename as format_filename
68
- from .utils import get_app_dir as get_app_dir
69
- from .utils import get_binary_stream as get_binary_stream
70
- from .utils import get_text_stream as get_text_stream
71
- from .utils import open_file as open_file
72
-
73
- __version__ = "8.1.5"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/fontTools/ttLib/tables/C_B_L_C_.py DELETED
@@ -1,10 +0,0 @@
1
- # Copyright 2013 Google, Inc. All Rights Reserved.
2
- #
3
- # Google Author(s): Matt Fontaine
4
-
5
- from . import E_B_L_C_
6
-
7
-
8
- class table_C_B_L_C_(E_B_L_C_.table_E_B_L_C_):
9
-
10
- dependencies = ["CBDT"]
 
 
 
 
 
 
 
 
 
 
 
spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/fontTools/ttLib/tables/G_D_E_F_.py DELETED
@@ -1,5 +0,0 @@
1
- from .otBase import BaseTTXConverter
2
-
3
-
4
- class table_G_D_E_F_(BaseTTXConverter):
5
- pass
 
 
 
 
 
 
spaces/DReAMy-lib/dream/README.md DELETED
@@ -1,13 +0,0 @@
1
- ---
2
- title: DReAM v.I
3
- emoji: 😴📝🤖
4
- colorFrom: pink
5
- colorTo: indigo
6
- sdk: gradio
7
- sdk_version: 3.16.2
8
- app_file: app.py
9
- pinned: false
10
- license: cc-by-2.0
11
- ---
12
-
13
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Daimon/translation_demo/style/style.css DELETED
@@ -1,33 +0,0 @@
1
- /* CSS Snippet from W3schools: https://www.w3schools.com/howto/howto_css_contact_form.asp */
2
- /* Style inputs with type="text", select elements and textareas */
3
- input[type=message], input[type=email], input[type=text], textarea {
4
- width: 100%; /* Full width */
5
- padding: 12px; /* Some padding */
6
- border: 1px solid #ccc; /* Gray border */
7
- border-radius: 4px; /* Rounded borders */
8
- box-sizing: border-box; /* Make sure that padding and width stays in place */
9
- margin-top: 6px; /* Add a top margin */
10
- margin-bottom: 16px; /* Bottom margin */
11
- resize: vertical /* Allow the user to vertically resize the textarea (not horizontally) */
12
- }
13
-
14
- /* Style the submit button with a specific background color etc */
15
- button[type=submit] {
16
- background-color: #615D6C;
17
- color: #CAE5FF;
18
- padding: 12px 20px;
19
- border: none;
20
- border-radius: 4px;
21
- cursor: pointer;
22
- }
23
-
24
- /* When moving the mouse over the submit button, add a darker green color */
25
- button[type=submit]:hover {
26
- background-color: #6F8AB7;
27
- }
28
-
29
-
30
- /* Hide Streamlit Branding */
31
- #MainMenu {visibility: hidden;}
32
- footer {visibility: hidden;}
33
- header {visibility: hidden;}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Detomo/ai-comic-generation/src/components/ui/dropdown-menu.tsx DELETED
@@ -1,200 +0,0 @@
1
- "use client"
2
-
3
- import * as React from "react"
4
- import * as DropdownMenuPrimitive from "@radix-ui/react-dropdown-menu"
5
- import { Check, ChevronRight, Circle } from "lucide-react"
6
-
7
- import { cn } from "@/lib/utils"
8
-
9
- const DropdownMenu = DropdownMenuPrimitive.Root
10
-
11
- const DropdownMenuTrigger = DropdownMenuPrimitive.Trigger
12
-
13
- const DropdownMenuGroup = DropdownMenuPrimitive.Group
14
-
15
- const DropdownMenuPortal = DropdownMenuPrimitive.Portal
16
-
17
- const DropdownMenuSub = DropdownMenuPrimitive.Sub
18
-
19
- const DropdownMenuRadioGroup = DropdownMenuPrimitive.RadioGroup
20
-
21
- const DropdownMenuSubTrigger = React.forwardRef<
22
- React.ElementRef<typeof DropdownMenuPrimitive.SubTrigger>,
23
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.SubTrigger> & {
24
- inset?: boolean
25
- }
26
- >(({ className, inset, children, ...props }, ref) => (
27
- <DropdownMenuPrimitive.SubTrigger
28
- ref={ref}
29
- className={cn(
30
- "flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none focus:bg-stone-100 data-[state=open]:bg-stone-100 dark:focus:bg-stone-800 dark:data-[state=open]:bg-stone-800",
31
- inset && "pl-8",
32
- className
33
- )}
34
- {...props}
35
- >
36
- {children}
37
- <ChevronRight className="ml-auto h-4 w-4" />
38
- </DropdownMenuPrimitive.SubTrigger>
39
- ))
40
- DropdownMenuSubTrigger.displayName =
41
- DropdownMenuPrimitive.SubTrigger.displayName
42
-
43
- const DropdownMenuSubContent = React.forwardRef<
44
- React.ElementRef<typeof DropdownMenuPrimitive.SubContent>,
45
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.SubContent>
46
- >(({ className, ...props }, ref) => (
47
- <DropdownMenuPrimitive.SubContent
48
- ref={ref}
49
- className={cn(
50
- "z-50 min-w-[8rem] overflow-hidden rounded-md border border-stone-200 bg-white p-1 text-stone-950 shadow-lg data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 dark:border-stone-800 dark:bg-stone-950 dark:text-stone-50",
51
- className
52
- )}
53
- {...props}
54
- />
55
- ))
56
- DropdownMenuSubContent.displayName =
57
- DropdownMenuPrimitive.SubContent.displayName
58
-
59
- const DropdownMenuContent = React.forwardRef<
60
- React.ElementRef<typeof DropdownMenuPrimitive.Content>,
61
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.Content>
62
- >(({ className, sideOffset = 4, ...props }, ref) => (
63
- <DropdownMenuPrimitive.Portal>
64
- <DropdownMenuPrimitive.Content
65
- ref={ref}
66
- sideOffset={sideOffset}
67
- className={cn(
68
- "z-50 min-w-[8rem] overflow-hidden rounded-md border border-stone-200 bg-white p-1 text-stone-950 shadow-md data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 dark:border-stone-800 dark:bg-stone-950 dark:text-stone-50",
69
- className
70
- )}
71
- {...props}
72
- />
73
- </DropdownMenuPrimitive.Portal>
74
- ))
75
- DropdownMenuContent.displayName = DropdownMenuPrimitive.Content.displayName
76
-
77
- const DropdownMenuItem = React.forwardRef<
78
- React.ElementRef<typeof DropdownMenuPrimitive.Item>,
79
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.Item> & {
80
- inset?: boolean
81
- }
82
- >(({ className, inset, ...props }, ref) => (
83
- <DropdownMenuPrimitive.Item
84
- ref={ref}
85
- className={cn(
86
- "relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none transition-colors focus:bg-stone-100 focus:text-stone-900 data-[disabled]:pointer-events-none data-[disabled]:opacity-50 dark:focus:bg-stone-800 dark:focus:text-stone-50",
87
- inset && "pl-8",
88
- className
89
- )}
90
- {...props}
91
- />
92
- ))
93
- DropdownMenuItem.displayName = DropdownMenuPrimitive.Item.displayName
94
-
95
- const DropdownMenuCheckboxItem = React.forwardRef<
96
- React.ElementRef<typeof DropdownMenuPrimitive.CheckboxItem>,
97
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.CheckboxItem>
98
- >(({ className, children, checked, ...props }, ref) => (
99
- <DropdownMenuPrimitive.CheckboxItem
100
- ref={ref}
101
- className={cn(
102
- "relative flex cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none transition-colors focus:bg-stone-100 focus:text-stone-900 data-[disabled]:pointer-events-none data-[disabled]:opacity-50 dark:focus:bg-stone-800 dark:focus:text-stone-50",
103
- className
104
- )}
105
- checked={checked}
106
- {...props}
107
- >
108
- <span className="absolute left-2 flex h-3.5 w-3.5 items-center justify-center">
109
- <DropdownMenuPrimitive.ItemIndicator>
110
- <Check className="h-4 w-4" />
111
- </DropdownMenuPrimitive.ItemIndicator>
112
- </span>
113
- {children}
114
- </DropdownMenuPrimitive.CheckboxItem>
115
- ))
116
- DropdownMenuCheckboxItem.displayName =
117
- DropdownMenuPrimitive.CheckboxItem.displayName
118
-
119
- const DropdownMenuRadioItem = React.forwardRef<
120
- React.ElementRef<typeof DropdownMenuPrimitive.RadioItem>,
121
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.RadioItem>
122
- >(({ className, children, ...props }, ref) => (
123
- <DropdownMenuPrimitive.RadioItem
124
- ref={ref}
125
- className={cn(
126
- "relative flex cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none transition-colors focus:bg-stone-100 focus:text-stone-900 data-[disabled]:pointer-events-none data-[disabled]:opacity-50 dark:focus:bg-stone-800 dark:focus:text-stone-50",
127
- className
128
- )}
129
- {...props}
130
- >
131
- <span className="absolute left-2 flex h-3.5 w-3.5 items-center justify-center">
132
- <DropdownMenuPrimitive.ItemIndicator>
133
- <Circle className="h-2 w-2 fill-current" />
134
- </DropdownMenuPrimitive.ItemIndicator>
135
- </span>
136
- {children}
137
- </DropdownMenuPrimitive.RadioItem>
138
- ))
139
- DropdownMenuRadioItem.displayName = DropdownMenuPrimitive.RadioItem.displayName
140
-
141
- const DropdownMenuLabel = React.forwardRef<
142
- React.ElementRef<typeof DropdownMenuPrimitive.Label>,
143
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.Label> & {
144
- inset?: boolean
145
- }
146
- >(({ className, inset, ...props }, ref) => (
147
- <DropdownMenuPrimitive.Label
148
- ref={ref}
149
- className={cn(
150
- "px-2 py-1.5 text-sm font-semibold",
151
- inset && "pl-8",
152
- className
153
- )}
154
- {...props}
155
- />
156
- ))
157
- DropdownMenuLabel.displayName = DropdownMenuPrimitive.Label.displayName
158
-
159
- const DropdownMenuSeparator = React.forwardRef<
160
- React.ElementRef<typeof DropdownMenuPrimitive.Separator>,
161
- React.ComponentPropsWithoutRef<typeof DropdownMenuPrimitive.Separator>
162
- >(({ className, ...props }, ref) => (
163
- <DropdownMenuPrimitive.Separator
164
- ref={ref}
165
- className={cn("-mx-1 my-1 h-px bg-stone-100 dark:bg-stone-800", className)}
166
- {...props}
167
- />
168
- ))
169
- DropdownMenuSeparator.displayName = DropdownMenuPrimitive.Separator.displayName
170
-
171
- const DropdownMenuShortcut = ({
172
- className,
173
- ...props
174
- }: React.HTMLAttributes<HTMLSpanElement>) => {
175
- return (
176
- <span
177
- className={cn("ml-auto text-xs tracking-widest opacity-60", className)}
178
- {...props}
179
- />
180
- )
181
- }
182
- DropdownMenuShortcut.displayName = "DropdownMenuShortcut"
183
-
184
- export {
185
- DropdownMenu,
186
- DropdownMenuTrigger,
187
- DropdownMenuContent,
188
- DropdownMenuItem,
189
- DropdownMenuCheckboxItem,
190
- DropdownMenuRadioItem,
191
- DropdownMenuLabel,
192
- DropdownMenuSeparator,
193
- DropdownMenuShortcut,
194
- DropdownMenuGroup,
195
- DropdownMenuPortal,
196
- DropdownMenuSub,
197
- DropdownMenuSubContent,
198
- DropdownMenuSubTrigger,
199
- DropdownMenuRadioGroup,
200
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/Dharshinijayakumar/Dharshujayakumaraiapp/README.md DELETED
@@ -1,12 +0,0 @@
1
- ---
2
- title: Dharshujayakumaraiapp
3
- emoji: 🐨
4
- colorFrom: red
5
- colorTo: yellow
6
- sdk: gradio
7
- sdk_version: 3.39.0
8
- app_file: app.py
9
- pinned: false
10
- ---
11
-
12
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
spaces/DragGan/DragGan-Inversion/PTI/models/StyleCLIP/criteria/__init__.py DELETED
File without changes