Simple Docker image will generate an M3U playlist optimized for use in Channels and expose them over HTTP

This simple Docker image will generate an M3U playlist optimized for use in Channels and expose them over HTTP. Channels supports custom channels by utilizing streaming sources via M3U playlists. Channels allows for additional extended metadata tags in M3U playlists that allow you to give it extra information and art to make the experience better. This project adds those extra tags to make things look great in Channels. Set Up Running the container is easy. Fire up the container as […]

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Playwright Python tool practice pytest pytest-bdd screen-play page-object allure cucumber-report

Playwright Python tool practicepytest pytest-bdd screen-play page-object allure cucumber-report How to run Run tests execute_tests.sh Notes: Pretty interesting and fast-growing tool for test automation. It can have some troubles with the first setup(especially with Docker), but generally this tool faster than Selenium and have pretty nice facade methods out of the box. It’s hard to say if I can recommend this tool to young Python AQA engineers because Selenium is a standardand supports by W3C. But if you have a […]

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Hosting a Django Project on Heroku

As a novice web developer, you’ve built your portfolio app and shared your code on GitHub. Perhaps, you’re hoping to attract technical recruiters to land your first programming job. Many coding bootcamp graduates are likely doing the same thing. To differentiate yourself from the crowd and boost your chances of getting noticed, you can start hosting your Django project online. For a hobby Django project, you’ll want a hosting service that’s free of charge, quick to set up, user-friendly, and […]

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Daily report of @arkinvest ETF activity + data collection

daily weekday report of @arkinvest ETF activity + data collection Extract and save daily csv’s from ARKInvest’s holdings. Quick command-line report about security additions and removals within each of the 6 ARK ETFs ($ARKK, $ARKW, $ARKG, $ARKQ, $ARKF, $PRNT) Quick command-line report about significant changes in security positions within each of the 6 ARK ETFs ($ARKK, $ARKW, $ARKG, $ARKQ, $ARKF, $PRNT) Option to save day-over-day changes in holdings within each of the 6 ARK ETFs ($ARKK, $ARKW, $ARKG, $ARKQ, $ARKF, […]

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Pyabr lightweight OS with Python and Qt

In the name of God, the Compassionate, the Merciful Pyabr © 2021 Mani Jamali. Free Software GNU General Public License v3.0 How to Contributing? for contributing in pyabr please read CONTRIBUTING.md What is Pyabr? Pyabr is a small and lightweight software use as: an operating system a small theme for android a small software for runing PyQt5 and Python applications in moblie phones a small cloud software in client a small cloud software on servers How to install it? python3 […]

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Preparation material for Dropbox interviews

A guide for the Dropbox onsite interview! The Dropbox interview question bank is very small. The bank has been in a Chinese forum for many years now, and we would like to make it accessible to everyone so that everyone will have an equal opportunity to prepare for the Dropbox onsite interview! https://1o24bbs.com/t/topic/1381 Backup link: https://web.archive.org/web/20210224003004/https://1o24bbs.com/t/topic/1381 Behavioral Questions: Talk about an impactful project that you led. Teams that you collaborated with. Convincing others to take action. A tough decision that […]

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Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining in Pytorch

COCO LM Pretraining (wip) Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch. They were able to make contrastive learning work in a self-supervised manner for language model pretraining. Seems like a solid successor to Electra. Install $ pip install coco-lm-pytorch Usage An example using the x-transformers library $ pip install x-transformers Then import torch from coco_lm_pytorch import COCO # (1) instantiate the generator and discriminator, making sure that the generator is roughly a quarter […]

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Implementation of OmniNet, Omnidirectional Representations from Transformers in Pytorch

Omninet – Pytorch Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch. The authors propose that we should be attending to all the tokens of the previous layers, leveraging recent efficient attention advances to achieve this goal. Install $ pip install omninet-pytorch Usage import torch from omninet_pytorch import Omninet omninet = Omninet( dim = 512, # model dimension depth = 6, # depth dim_head = 64, # dimension per head heads =

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Collection of scripts to pinpoint obfuscated code

Author: Tim Blazytko Automatically detect control-flow flattening and other state machines Description: Scripts and binaries to automatically detect control-flow flattening and other state machines in binaries. Implementation is based on Binary Ninja. Check out the following blog post for more information: Automated Detection of Control-flow Flattening Usage $ ./detect_flattening.py samples/finspy Function 0x401602 has a flattening score of 0.9473684210526315. Function 0x4017c0 has a flattening score of 0.9981378026070763. Function 0x405150 has a flattening score of 0.9166666666666666. Function 0x405270 has a flattening score […]

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