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Showing 2628 opportunities to contribute from the last 6 days
AI Summary: The task is to determine the feasibility and steps involved in migrating email accounts, including inbox, sent, and archive data, from a Mailcow server to a BillionMail server. This involves researching data migration methods compatible with both systems and potentially creating a script or set of instructions to automate the process.
BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord: https://discord.gg/asfXzBUhZr
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BillionMail is a self-hosted, open-source solution for email servers, newsletters, and email marketing, eliminating the need for monthly subscription fees. It's designed to be developer-friendly and offers a complete, free alternative to commercial email services.
AI Summary: The task is to improve the Patch Pulse CLI tool's error handling to gracefully manage and display informative messages when encountering version numbers with '.x' formats (e.g., '20.x') instead of throwing an 'Invalid version format' error.
A cli tool to identify out of date package.json dependencies.
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The `cli` tool addresses the problem of outdated dependencies in `package.json` files. It efficiently identifies outdated packages, providing developers with a clear overview of which dependencies require updates to ensure optimal performance and security.
AI Summary: The issue is that the `mcpuishor/qdrant-laravel` package lacks a stable version tag, preventing Composer from installing it. The solution is to create a version tag (e.g., v1.0.0) for the package and push it to a repository like GitHub or GitLab, then update the `composer.json` file to reflect the version.
A fluent package to interact with Qdrant Vector Database
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qdrant-laravel provides a streamlined Laravel integration for the Qdrant vector database, simplifying the process of storing and querying vector embeddings. This package offers a fluent API, making it easier to manage and interact with Qdrant within your Laravel applications.
AI Summary: Add a new menu option to export account data to a user-specified file path. This involves creating a new function to handle the export, updating the main menu, and ensuring robust error handling for invalid file paths or other issues. The export should use a suitable format (e.g., JSON or CSV).
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The `banking_system_py` project is a Python-based banking system simulation. It aims to provide a simplified model for managing accounts, transactions, and user interactions, potentially serving as an educational tool or a foundation for more complex financial applications.
AI Summary: Implement confirmation prompts for account deletion and withdrawals exceeding $1000 in a Python terminal-based banking system. This involves modifying existing menu functions to include prompts asking the user to confirm their action before proceeding, handling various input types (yes/no, y/n), and providing clear feedback to the user.
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The `banking_system_py` project is a Python-based banking system simulation. It aims to provide a simplified model for managing accounts, transactions, and user interactions, potentially serving as an educational tool or a foundation for more complex financial applications.
AI Summary: Implement reusable functions within a Fastify/TypeScript API to fetch 24-hour volume data for any given cryptocurrency token from CoinGecko's API.
API service to get token updates
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The 'radar' project is an API service designed to provide real-time token updates. It solves the problem of needing a reliable and efficient method to track token changes, offering a streamlined interface for accessing this crucial information.
AI Summary: Improve the documentation and add input validation to an existing Terraform module for managing AWS Secrets Manager resources. This involves enhancing the README with clear examples and usage instructions, adding validation rules to prevent configuration errors, and improving variable descriptions and organization.
Terraform module to create Amazon Secrets Manager resources.
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This Terraform module simplifies the creation and management of Amazon Secrets Manager resources. It streamlines the process of securely storing and retrieving sensitive data in AWS, eliminating manual configuration and improving infrastructure-as-code practices.
AI Summary: The task is to fix an unspecified issue ('Some Issue') within the 'randomCatFacts' project. The details of the issue are limited to 'Let's Fix IT', requiring further investigation to understand the problem and implement a solution.
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The randomCatFacts project addresses the need for readily available, entertaining cat facts. Its key feature is the provision of a random cat fact upon request, offering a fun and engaging user experience.
AI Summary: Create an informational page for the CopConnect application that summarizes common laws relevant to citizen complaints. The page should present this information in a clear, easy-to-understand format, categorized by topic (e.g., theft, harassment, cybercrime). This will serve as a pre-complaint resource for citizens.
Fullstack application to bridge the gap between citizens and cops
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CopConnect is a full-stack application designed to improve communication and trust between citizens and law enforcement. It provides a platform for citizens to easily report incidents, access resources, and engage in constructive dialogue with their local police department, while offering officers a streamlined system for managing reports and community interactions.
AI Summary: The task is to fix a CMake build issue in a cross-platform hex editor project. Currently, after building on Windows, necessary DLLs (WingPlugin.dll) and language resources (lang folder) are not automatically copied to the executable's directory, requiring manual intervention. The solution involves modifying the CMakeLists.txt file to include post-build commands that copy these files to the correct location.
一个自由强大跨平台的十六进制编辑器 / A free, powerful, cross-platform hex editor
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WingHexExplorer2 is a free and powerful hex editor available across multiple platforms. It solves the need for a robust, versatile tool to edit binary files, offering advanced features for both casual and professional users.
AI Summary: The task involves refactoring the existing Laravel application, which uses a RESTful API implicitly through Livewire, into a GraphQL API. This requires choosing a suitable GraphQL library for Laravel (e.g., Lighthouse, Nuxt), migrating existing API endpoints to GraphQL schemas and resolvers, and potentially adjusting the frontend (Livewire) to consume data from the new GraphQL API. Thorough testing will be crucial to ensure data integrity and functionality.
Christian web app for users to create their testimonies
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proj-praise-story is a Christian web application designed to help users easily create and share their personal testimonies. It provides a simple interface for composing and organizing faith stories, allowing users to document and celebrate their spiritual journeys.
AI Summary: Implement a breadcrumb navigation system for the status page configuration section of Checkmate, mirroring the existing functionality in the uptime monitor configuration. This involves making "Status Pages" and "Details" clickable in the breadcrumb trail to allow users to navigate back to the status page list or the details view of the currently configured status page.
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations. Don't be shy, join here: https://discord.com/invite/NAb6H3UTjK :)
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Checkmate is a self-hosted, open-source monitoring tool that provides real-time tracking and visualization of server hardware health, uptime, response times, and incidents. It helps users proactively identify and address potential issues with their servers through intuitive dashboards and alerts.
AI Summary: Debug and fix a C# console application's email reminder functionality. The application currently sends a daily email reminder only once instead of repeatedly as intended. The fix requires investigating the `SendReminder` method within the `ReminderService` class and ensuring it's scheduled to run daily. This likely involves using a scheduling mechanism (e.g., Timer, Scheduled Tasks) to trigger the email sending logic at the specified time each day.
Creates a console app through c# that allows users to create habits, mark them as completed and send daily email reminders based on the users selected time
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Habits_Creator_and_Reminder is a C# console application that helps users build better habits by allowing them to create and track habit completion. It features daily email reminders to maintain consistency and motivation.
AI Summary: Debug and fix a synchronization issue between New Expensify (ND) and Old Expensify (OD) where report field creation in OD doesn't automatically enable the feature in ND. This requires familiarity with Expensify's codebase, testing across multiple platforms (web, Android), and potentially investigating data synchronization mechanisms between the two Expensify versions.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a change in the Karakeep bookmark interface to prioritize the display of user-defined tags over AI-generated tags. This involves modifying the tag display logic to ensure manually added tags consistently appear first, improving bookmark organization and visibility of user-specified metadata.
A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search
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Karakeep is a self-hostable application for managing bookmarks, notes, and images, solving the problem of scattered information across multiple platforms. Key features include AI-powered automatic tagging and robust full-text search for efficient information retrieval.
AI Summary: Integrate the OpenAI API into a Laravel application to moderate user-submitted testimonies. Instead of deleting flagged content, the system should add a visual indicator (red flag icon) on the index page and send an email alert to [email protected]. Thorough testing is required before completion.
Christian web app for users to create their testimonies
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proj-praise-story is a Christian web application designed to help users easily create and share their personal testimonies. It provides a simple interface for composing and organizing faith stories, allowing users to document and celebrate their spiritual journeys.
AI Summary: Implement a search function within the Laravel admin dashboard to allow searching across all testimony content. The search should return relevant results and include comprehensive unit tests.
Christian web app for users to create their testimonies
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proj-praise-story is a Christian web application designed to help users easily create and share their personal testimonies. It provides a simple interface for composing and organizing faith stories, allowing users to document and celebrate their spiritual journeys.
AI Summary: Implement auto-login functionality in the Laravel/Livewire application's login form. This involves enabling the form to automatically populate and submit credentials provided by the user's password manager, potentially requiring adjustments to the form's handling of submitted data and interaction with the authentication system.
Christian web app for users to create their testimonies
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proj-praise-story is a Christian web application designed to help users easily create and share their personal testimonies. It provides a simple interface for composing and organizing faith stories, allowing users to document and celebrate their spiritual journeys.
AI Summary: Integrate two-factor authentication (2FA) or multi-factor authentication (MFA) into an existing Laravel 10+ web application. This involves selecting a suitable 2FA/MFA provider or library, integrating it with the application's authentication system, and ensuring seamless user experience across all relevant pages (login, registration, etc.).
Christian web app for users to create their testimonies
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proj-praise-story is a Christian web application designed to help users easily create and share their personal testimonies. It provides a simple interface for composing and organizing faith stories, allowing users to document and celebrate their spiritual journeys.
AI Summary: Implement a new section in the existing to-do list application to display a list of completed tasks. This list should show tasks that have been marked as complete by the user. The design should integrate seamlessly with the existing application's user interface.
A basic todo list app.
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This project is a simple to-do list application built using HTML, CSS, and JavaScript. It addresses the need for a basic task management tool by allowing users to add, check off, and potentially delete tasks from a list.
A modern, single-page resume builder application built with Vue 3 and Vuetify. Create professional resumes with a beautiful UI and export them as HTML, PDF or JSON.
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The resume-builder project is a single-page application built with Vue 3 and Vuetify that simplifies resume creation. It offers a user-friendly interface for designing professional resumes and allows exporting in HTML, PDF, or JSON formats, solving the problem of tedious resume formatting and ensuring easy sharing and distribution.
AI Summary: The task is to identify all endpoints in the Garlic-Hub digital signage system that lack CSRF token validation and implement the necessary checks to prevent Cross-Site Request Forgery (CSRF) attacks. This involves reviewing the codebase, specifically focusing on endpoints that modify data, and adding CSRF token validation where missing. The `/async/playlists` DELETE endpoint is a known example requiring attention.
Digital Signage Device and Content Management (SMIL compatible)
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Garlic-hub is a digital signage system featuring a device and content management platform with SMIL compatibility. It solves the problem of easily creating and deploying dynamic, engaging content across multiple displays, simplifying the process for businesses and organizations.
AI Summary: Improve the user interface (UI) of the 'Why Choose Us' cards on the e-commerce website. This involves making visual enhancements, such as adding rounded edges or subtly adjusting the colors, to improve the overall aesthetic appeal.
this is the basic project in which i have built an e-commerce website using MERN stack.
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This project is a basic e-commerce website built using the MERN stack (MongoDB, Express.js, React, Node.js). It solves the problem of providing a platform for online book sales, offering users a convenient way to browse, search, and purchase books.
AI Summary: Write comprehensive unit tests for the `parseTimestampBound` function in a Go project to achieve 95% test coverage, covering valid and invalid timestamp formats, case sensitivity, error handling, and edge cases. The tests should increase the function's coverage from 19% to 95%.
My personal fork of spanner-cli
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spanner-mycli is a personal fork of the spanner-cli project. It aims to improve upon the original by addressing unspecified personal needs or adding features not present in the original. The exact improvements and features are not detailed in the provided information.
AI Summary: The user needs help troubleshooting a local setup of the Onlook project. The issue involves warnings about local storage, authentication problems with TRPC calls resulting in failed sandbox starts, and authorization errors. Debugging will involve examining the `.env` files, local storage configuration, and verifying API key scopes and permissions.
The Cursor for Designers • An Open-Source Visual Vibecoding Editor • Visually build, style, and edit your React App with AI
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Onlook is an open-source visual editor that allows designers to build and style React applications using a visual, vibecoding approach. It solves the problem of complex code writing by providing a user-friendly interface and leverages AI assistance for streamlined development.
AI Summary: The task is to address the numerous reported bugs and usability issues in the danser-go project, a Go-based osu! map visualizer and video generator. This includes improving stability, particularly for AMD encoding and Classic mode, enhancing the user-friendliness of the CLI and configuration, fixing issues with Lazer replay support and SR calculation, and providing clearer documentation and instructions, especially for video export.
Dancing visualizer of osu! standard maps and custom osu! client written in Go. Also a generator for osu! videos.
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danser-go is a Go-based visualizer for osu! standard maps, offering a dynamic and engaging display of gameplay. It also functions as a custom osu! client and a generator for osu! videos, solving the need for advanced visualization and video creation tools within the osu! community.
AI Summary: Investigate and implement a long-term login solution for the Habitat social platform, likely involving token storage, aiming for a user experience comparable to other PWAs that maintain logins for extended periods.
Habitat is a free and open source self-hosted social platform for local communities
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Habitat is a free and open-source social platform designed to foster strong local community connections. It solves the problem of community fragmentation by providing a self-hosted, privacy-focused alternative to large, centralized social networks.
AI Summary: Create Jinja templates to handle multiple entries for work experiences, education, and hobbies within a Flask-based portfolio website. This involves modifying existing Flask code and using Jinja templating to dynamically generate lists of these items on the website.
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The project's summary is unavailable due to missing project description and README. Therefore, no problem solved or key features can be identified.
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The project's summary is unavailable due to missing project description and README. Therefore, no problem solved or key features can be identified.
:file_folder: Generate pixel-perfect macOS folder icons in the native style. (Now with support for macOS 26 Tahoe!)
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Folderify creates pixel-perfect macOS folder icons, maintaining the native style. It supports the latest macOS versions, ensuring visually consistent folder icons across different operating systems.
AI Summary: Thoroughly test all features of the RLBotServer v5 C# implementation, including functionality across different platforms (Windows, Linux), game launch methods, match configurations, game packet data accuracy, ball prediction, debug rendering, match communication, and state setting. This involves creating and executing test cases for each feature, potentially adding unit/system tests where feasible. The project uses a closed-source DLL for a portion of its functionality.
RLBotServer implementation in C#, with a smaller closed-source portion.
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The 'core' project is a C# implementation of the RLBotServer, providing a framework for interacting with Rocket League through bots. It features a primarily open-source design with a small, closed-source component for specific functionalities.
AI Summary: Rename the 'ai-backend' project. This involves updating the project name in all relevant files (README, package.json if applicable, potentially the repository itself on GitHub), and potentially updating any references to the old name in the codebase.
fastapi starter to get started building ai apps fast
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ai-backend is a FastAPI starter project designed to accelerate the development of AI applications. It provides a streamlined foundation, simplifying the setup and deployment process, allowing developers to focus on building AI models and features rather than infrastructure.
AI Summary: The issue reports that Biome's default HTML formatter's `whitespaceSensitivity` setting ('ignore') breaks page layouts. The task is to investigate the impact of this setting, determine a safer default (either "css" or "strict"), and potentially implement a warning message for cases where formatting might alter page layout or parsing. This may involve updating documentation and testing the changes thoroughly.
A toolchain for web projects, aimed to provide functionalities to maintain them. Biome offers formatter and linter, usable via CLI and LSP.
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Biome is a toolchain simplifying web project maintenance by providing a formatter and linter. Accessible via both command-line interface (CLI) and Language Server Protocol (LSP), it streamlines code style and error detection.
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InterXAI is a project whose description and details are currently unavailable. Therefore, no problem solved or key features can be summarized.
AI Summary: The task involves standardizing the Apache Sedona project's pre-commit configuration file (.pre-commit-config.yaml) by adding a 'name' and 'description' key-value pair to each hook, ensuring consistency and improved documentation.
A cluster computing framework for processing large-scale geospatial data
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Sedona is a cluster computing framework designed to efficiently process massive geospatial datasets. It addresses the challenges of handling large-scale spatial data analysis by providing optimized algorithms and distributed processing capabilities.
AI Summary: Develop a ROS2 service that uses OpenCV to perform real-time text detection and OCR on images from C920 and RealSense cameras, running on a Jetson Orin Nano. The system should be configurable and integrate seamlessly with existing camera systems.
The main codebase for perseus starting 2024
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Perseus-v2 is the core codebase for the Perseus web framework, launched in 2024. It aims to solve the problem of building performant, type-safe, and developer-friendly web applications with Rust, offering features like server-side rendering (SSR), static site generation (SSG), and a robust routing system.
AI Summary: Correct a typo in the file path for the Apigee logo within a Google Cloud Platform (GCP) Alfred workflow's configuration file (`services.yml`). The current path is incorrect; it needs to be updated to point to the correct logo file already present in the project's assets directory.
An Alfred workflow to open GCP services and browse resources within
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alfred-gcp-workflow streamlines access to Google Cloud Platform (GCP) services. It allows users to quickly open specific GCP services and browse their resources directly from Alfred, eliminating the need to navigate through multiple web pages.
AI Summary: Add a visually appealing warning component to the open-bus-map-search dashboard to inform users about the temporary lack of data since November 2024, and ensure the component is documented in Storybook.
open-bus-map-search
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The open-bus-map-search project aims to provide a convenient way to search and find bus routes and schedules. It leverages open data to offer a user-friendly interface, potentially solving the problem of accessing real-time or scheduled bus information.
AI Summary: Implement a new static check for the pg-index-health library that identifies and flags tables using PostgreSQL table inheritance, as per the provided link's best practices. This involves writing SQL queries to detect inheritance and integrating the results into the existing Java framework.
pg-index-health is a Java library for analyzing and maintaining indexes and tables health in Postgresql databases.
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pg-index-health is a Java library that addresses the problem of inefficient or unhealthy indexes in PostgreSQL databases. It provides tools to analyze index and table health, identifying potential performance bottlenecks and allowing for proactive maintenance.
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MoneyWays is a project whose description and functionality are currently undefined. Therefore, it solves no specific problem and has no key features at this time.
AI Summary: The task involves expanding a Rust library, `yo_netwatch`, which currently checks internet connectivity, to provide more comprehensive network information. This includes features like latency reporting, smarter connectivity strategies, captive portal detection, connection type detection, network interface details, and WebAssembly support. The project also aims to improve the API with a builder pattern and modular feature flags.
Rust Networking Simple
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yo_netwatch is a simple networking project written in Rust. It aims to provide a basic framework for network monitoring or other network-related tasks, focusing on ease of use and readability.
AI Summary: Migrate the Minecraft Java Edition plugin 'PlayerQuests' from Spigot to Paper, addressing API changes related to registries (e.g., TRIM_PATTERN) and ensuring compatibility with Paper's registry access methods. This involves replacing deprecated Spigot API calls with their Paper equivalents and potentially using alternative methods for accessing registry data.
Survival-friendly questing by the players for the players!
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MCJE-PlayerQuests-Plugin allows Minecraft Java Edition players to create and complete custom quests, enhancing gameplay with community-driven objectives and challenges. Key features include player-created quests, a user-friendly interface, and seamless integration into the survival experience.
AI Summary: The task is to troubleshoot a Git LFS storage quota exceeded error on a specific computer ('COMPBC') preventing the upload of large audio files. This involves investigating the cause of the exceeded quota (possibly due to large files already stored or a misconfiguration), potentially deleting unnecessary files, and/or increasing the Git LFS storage limit.
A repository based especially for my and Okmeque1's programs, files and installers. Below is the link to Midnight_G0ldX Corporation.
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This project is a private repository for storing and managing software programs, files, and installers developed by Midnight_G0ldX Corporation and Okmeque1. It provides a centralized location for collaboration and version control of their shared projects.
AI Summary: Improve the Voice Activity Detection (VAD) in the Handy speech-to-text application to reduce false positives, specifically the frequent addition of "thank you" to the end of transcriptions. This involves tuning the VAD parameters and testing with audio samples that consistently exhibit this issue to find a robust and reliable solution.
A free, open source, and extensible speech-to-text application that works completely offline.
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Handy is a free and open-source offline speech-to-text application addressing the need for transcription without internet connectivity. Its key features include extensibility and offline functionality, making it a versatile tool for various scenarios.
AI Summary: Test the latest development build of the Fastfetch system information tool on macOS 26 Tahoe Beta, verifying that it correctly identifies the OS, desktop environment (as Liquid Glass instead of Aqua), and GPU platform API (as Metal 4). The tester needs to run Fastfetch with the 'all' configuration and report the output, specifically focusing on the OS, DE, and GPU information.
A maintained, feature-rich and performance oriented, neofetch like system information tool.
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fastfetch is a system information tool similar to neofetch, designed for speed and a comprehensive feature set. It addresses the need for a quick and informative display of system specifications, offering a visually appealing and highly customizable output.
AI Summary: Enhance the existing Higress AI plugin to include token usage statistics for OpenAI's `/v1/responses` API endpoint, mirroring the current functionality for the `chat completions` endpoint. This involves handling both standard and streaming response objects to accurately capture token counts.
🤖 AI Gateway | AI Native API Gateway
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Higress is a cloud-native API gateway built on Istio and Envoy, designed to address limitations in existing gateways like Tengine reload issues and insufficient gRPC/Dubbo load balancing. Key features include Wasm plugin support (Go/Rust/JS), a user-friendly console, and numerous pre-built plugins, enabling efficient and scalable API management for various applications, including AI-powered services.
AI Summary: The task involves creating a `FUNDING.pwl` file in a GitHub repository to specify supported funding platforms. The file should list platforms like GitHub Sponsors, Patreon, Open Collective, etc., with appropriate usernames or URLs. This is based on a pull request to add this file to the user's GitHub profile repository.
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Insufficient information is provided to summarize project -pw_l55. The description and README are null/undefined, preventing any meaningful summary of its problem or features.
AI Summary: Fix a bug in the iOS Expensify Hybrid app where the expected "Please sign in" message doesn't appear when a user attempts to share an image while not logged in. The bug is reproducible in staging but not production. The fix needs to ensure the message displays correctly before allowing the share action.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement user authentication and profile management features using Firebase Auth for the Travelet Flutter app. This includes login/logout functionality, user registration, and profile information management (nickname, profile/banner images, bio, and social media links). The task requires ensuring persistent login sessions and implementing a profile screen. Existing Firebase Auth setup is assumed.
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The travelet_flutter project is a mobile application (likely built using Flutter) designed to address the need for a convenient travel planning and management tool. While specifics are unavailable without further information, it likely offers features such as itinerary creation, booking management, and potentially travel recommendations.
AI Summary: Implement a CMake build system for a C/C++ project to replace manual compilation. The CMake system should handle compiling all source files across multiple subdirectories, linking to create shared libraries (libarray.so/libarray.dll), and supporting both Linux and Windows. The build process should be easily invoked using standard CMake commands.
Lightweight multi-dimensional array manipulation library powered by GPU
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Axon is a lightweight library for efficient multi-dimensional array manipulation, leveraging the power of GPUs to accelerate computation. It solves the problem of slow array processing in CPU-bound applications by providing fast, GPU-accelerated functions for common array operations.
AI Summary: Fix a navigation bug in the Enatega customer app where the 'Edit' button on the cart page redirects to the home screen instead of the correct restaurant menu. This requires debugging the navigation logic within the app to ensure the correct screen is loaded when the button is pressed.
Enatega is a fully realized and customizable food delivery application that can be used to set up your own order/delivery management system. For more information, visit the Enatega product page: 🚀🛒📦🌐
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Enatega is a customizable multi-vendor food delivery application solving the need for a flexible order and delivery management system. Key features include full application functionality and easy customization to fit individual business needs.
AI Summary: Debug a Flask application using Dropzone.js for image uploads. The issue is that dropping a file onto the Dropzone area does not trigger the expected POST request to the Flask backend, preventing image processing and OCR. The solution likely involves inspecting the Dropzone.js configuration, Flask routing, and potentially the server-side request handling to ensure the POST request is correctly sent and received.
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The Hand-Writing-to-Text-Converter project aims to solve the problem of inefficient manual transcription of handwritten documents. It leverages image processing and machine learning techniques to accurately convert handwritten text into editable digital text, significantly improving efficiency and accessibility.
AI Summary: Implement authentication check at the beginning of `resume.html` to redirect unauthenticated users to `Auth.html`. This involves adding a JavaScript check using `localStorage` to verify if a user is logged in before allowing access to the resume builder.
This is the Resume Builder made with Shepherd Library
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The Resume-Builder project simplifies the process of creating professional resumes using the Shepherd library. It streamlines the creation of visually appealing and well-structured resumes, solving the problem of time-consuming manual formatting and design.
AI Summary: The task is to fix a warning related to the `LegacyRouteConverter` in Ghostfolio version 2.172.0. The warning indicates that the application uses an outdated route path pattern ('/api/*') that's incompatible with the current version of 'path-to-regexp'. The solution involves updating the route definition in the NestJS application to use named parameters instead of wildcard characters, following the migration guide provided in the warning message.
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
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ghostfolio is open-source wealth management software addressing the need for a customizable and transparent personal finance solution. Key features include a user-friendly interface built with Angular and NestJS, leveraging Prisma and Nx for efficient data management and development.
AI Summary: Debug and fix a responsiveness issue with a button in the E-Intendance application. The button renders differently on mobile and computer screens, indicating a potential CSS or layout problem. The solution likely involves adjusting CSS styles to ensure consistent button appearance across different screen sizes.
E-Intendance is a project designed to streamline and manage budget-related administrative tasks between two types of users: transmitter and admin. The transmitter can suggest budget commands (requests), and the admin reviews each command to accept or reject it, ensuring efficient and controlled budget management.
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LISI-Budget streamlines budget management by facilitating communication between budget requestors (transmitters) and approvers (admins). Transmitters submit budget requests, and admins review and approve or reject them, ensuring efficient and controlled budget processes.
AI Summary: Create redirects for four moved lectures in the freeCodeCamp curriculum to ensure that old links continue to function correctly after the changes introduced in pull request #60930. This involves coordinating with Mrugesh for deployment, which differs from the standard deployment process.
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
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freeCodeCamp is an open-source platform providing a free curriculum to learn programming, computer science, and mathematics. It addresses the problem of high costs and limited access to quality education in these fields by offering a comprehensive, self-paced learning experience.
AI Summary: Improve Feluda's JavaScript dependency analysis to accurately detect licenses, including those in lock files and nested dependencies. The tool should provide informative messages indicating the scope of analysis and avoid misleading conclusions when analysis is incomplete.
Detect license usage restrictions in your project!
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Feluda identifies license usage restrictions within software projects. It helps developers ensure compliance by analyzing project dependencies and highlighting potential license violations.
AI Summary: The task involves refactoring the email settings section in Checkmate's user interface. Currently, email notification toggles are displayed below their respective settings; the goal is to reposition them to the end of each setting's line for improved visual layout and user experience.
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations. Don't be shy, join here: https://discord.com/invite/NAb6H3UTjK :)
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Checkmate is a self-hosted, open-source monitoring tool that provides real-time tracking and visualization of server hardware health, uptime, response times, and incidents. It helps users proactively identify and address potential issues with their servers through intuitive dashboards and alerts.
AI Summary: Debug and fix a bug in a Scratch-like game engine where the `wait()` function in the scripting language doesn't correctly pause script execution. The fix involves modifying the sprite's stepping logic to ensure that execution pauses immediately upon encountering `wait()` and resumes from the exact point after the wait period.
A simple Scratch-like gamedev tool that has its own scripting language also named Crust!
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crust-engine is a user-friendly game development tool inspired by Scratch, enabling users to create games using its custom scripting language, Crust. It simplifies game creation by providing an intuitive interface and a straightforward scripting system, making game development accessible to beginners.
AI Summary: This task involves improving the code quality of the Spectrum UI project by fixing ESLint errors and warnings. This includes running ESLint and Prettier, addressing auto-fixable and manual fixes, and ensuring the code passes lint and builds successfully. The goal is to enhance code readability, maintainability, and scalability.
Spectrum UI ⭐ is a collection of re-usable components built using Aceternity UI Magic UI and ShadCN UI that you can copy and paste into your apps.
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Spectrum UI is a collection of reusable UI components built with Aceternity UI, Magic UI, and ShadCN UI, solving the problem of needing to repeatedly build common UI elements. It offers a readily available set of components for quick integration into various applications through simple copy-and-paste functionality.
AI Summary: Investigate and fix a bug in the 2024 Sōhōsai online system's frontend where users can create applications with a file upload limit of 0. This likely involves examining the application creation form, identifying how the file limit is handled, and correcting the logic to prevent the creation of applications with a zero file limit. The fix may require updating the frontend code and potentially the backend API if the issue originates there.
2024年度 雙峰祭オンラインシステム フロントエンド
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sos24-client is the frontend for the 2024 Sōfūsai online system. It addresses the need for a digital platform for the festival, providing users with an accessible and user-friendly interface.
📦 The Extras bucket for Scoop.
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Extras is a Scoop bucket providing supplemental software not included in the main Scoop repository. It addresses the need for a wider range of applications and tools, offering users convenient access through Scoop's package manager. Key features include curated packages and streamlined installation.
AI Summary: Debug a KernelSU-based Android root solution (SukiSU Ultra) where the LKM (Loadable Kernel Module) installation method is causing baseband loss on a Redmi Note 11T Pro. The task involves analyzing provided bug report logs and potentially modifying the kernel or the SukiSU Ultra implementation to resolve the baseband loss issue without impacting other functionalities.
Kernel-based Android Root Solution & KPM
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SukiSU-Ultra is a kernel-based Android rooting solution that provides complete system control. Its key feature is the inclusion of a Kernel Patch Manager (KPM) for enhanced customization and stability.
AI Summary: Migrate the sample travel planning app data to Firestore, implementing persistent storage for user data, spot data, and itinerary data. This includes ensuring real-time synchronization, applying Firestore security rules, and handling offline capabilities. Sample data should be removed after migration.
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The travelet_flutter project is a mobile application (likely built using Flutter) designed to address the need for a convenient travel planning and management tool. While specifics are unavailable without further information, it likely offers features such as itinerary creation, booking management, and potentially travel recommendations.
AI Summary: Integrate the Google Maps API into the Travelet Flutter app to display spot locations on a map, visualize routes between planned itinerary points, allow users to search and select locations, and potentially show routes based on different transport modes. This requires using the `google_maps_flutter` package and integrating with existing data models (Spot, Itinerary, TransportMode).
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The travelet_flutter project is a mobile application (likely built using Flutter) designed to address the need for a convenient travel planning and management tool. While specifics are unavailable without further information, it likely offers features such as itinerary creation, booking management, and potentially travel recommendations.
AI Summary: Enhance the existing travel spot search functionality by adding location-based search, tag search, budget range search, user search, and time-limited search from a specified location. Implement filtering by category and tag, sorting by popularity and date, and saving search criteria. This requires backend integration with the search screen, improvements to the display of search results, and the implementation of filtering features. The task is related to an existing plan creation feature and uses the current search screen UI.
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The travelet_flutter project is a mobile application (likely built using Flutter) designed to address the need for a convenient travel planning and management tool. While specifics are unavailable without further information, it likely offers features such as itinerary creation, booking management, and potentially travel recommendations.
AI Summary: Implement a travel plan creation feature allowing users to create, edit, and post travel plans. This includes a UI for plan creation, spot selection and ordering, accommodation flags, tagging, and Firestore data persistence. The feature should also include plan naming, waypoint registration, accommodation flagging, custom tagging, and public/private settings. Acceptance criteria include implementing a "Prepare" FAB, displaying created plans, and a plan details screen. This task depends on the authentication feature (Issue #2) and the design concept.
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The travelet_flutter project is a mobile application (likely built using Flutter) designed to address the need for a convenient travel planning and management tool. While specifics are unavailable without further information, it likely offers features such as itinerary creation, booking management, and potentially travel recommendations.
AI Summary: Improve the user experience of the Eclipse Platform's project import functionality by modifying the error handling for duplicate project imports. Instead of simply reporting an error, the system should prompt the user to open or navigate to the existing project if it's already imported, whether open or closed.
Eclipse Platform - a comprehensive set of frameworks and common services that collectively provide a powerful software development infrastructure.
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The Eclipse Platform provides a robust software development infrastructure, solving the problem of needing a consistent and extensible foundation for building various applications. Key features include a comprehensive set of frameworks and common services, enabling developers to create powerful and customized tools.
AI Summary: Update two broken links in the LMCache documentation's "Quick Start Examples" section to point to the correct locations within the vLLM project's examples repository.
Redis for LLMs
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LMCache is a Redis-based caching solution designed to significantly speed up Large Language Model (LLM) applications. It addresses the performance bottleneck of repeatedly querying LLMs by caching responses, reducing latency and cost while maintaining data consistency.
AI Summary: Integrate the AutoEndRounds plugin from the Xaseco/Uaseco project into the MP4 version of the eXpansion project. This involves adapting the plugin to work seamlessly within the existing eXpansion framework.
Fixed for MP4 version of eXpansion
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eXpansion addresses issues within the MP4 version of the project, ensuring improved functionality and stability. The project focuses on resolving specific bugs and enhancing the overall user experience for MP4 users.
AI Summary: Debug and fix an Arma 3 mod (Camo Faces Redux) issue where the dialog background image is not displaying correctly. The issue likely stems from incorrect file paths or conditional logic in the provided SQF code snippet that controls the background image based on the time of day. The task involves understanding the Arma 3 scripting language (SQF), identifying the root cause of the pathing error, and correcting it to ensure the correct image is loaded at the appropriate time.
Camo Faces Redux is a Rewrite of the Camo Faces Mod, which enables Players to camouflage their faces in Arma3
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CamoFacesRedux is a revamped Arma 3 mod that allows players to customize their in-game facial appearance for better camouflage and immersion. It offers improved functionality and performance compared to its predecessor, Camo Faces, providing a wider range of customization options.
AI Summary: Debug and fix a bug in a React Kanban board application where adding or deleting columns doesn't automatically update the UI; requires refreshing the page to see changes. The issue likely lies within the component's state management and how it interacts with the backend API.
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The `productivity_manager` project aims to improve user productivity by addressing the lack of a centralized system for task management and time tracking. Key features would likely include task creation and prioritization, time tracking capabilities, and potentially reporting/analysis tools to identify productivity bottlenecks.
AI Summary: Implement a new `timeoutSec` field at the step level within the Dagu workflow engine's YAML configuration to allow for setting individual timeouts for each step, addressing the current limitation of only DAG-level timeouts.
A self-contained, local-first, and language-agnostic workflow engine, alternative to Airflow, Cron, etc. It aims to solve greater problems.
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dagu is a self-contained workflow engine designed as a local-first alternative to Airflow and Cron. It's language-agnostic, offering a flexible solution for managing complex workflows without external dependencies.
AI Summary: Debug a 1-pixel color difference in an overlay rendering between Apple's SwiftUI and its open-source implementation, OpenSwiftUI. The issue appears to stem from a potential misalignment within the UIHostingView, despite the DisplayLists appearing nearly identical. The task involves analyzing the provided code snippet, DisplayList output, and color values to pinpoint the source of the discrepancy.
[WIP] Open source implementation of Apple's SwiftUI.
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OpenSwiftUI is a work-in-progress open-source project aiming to recreate Apple's SwiftUI framework. This allows developers to build cross-platform user interfaces without being restricted to Apple's ecosystem, offering greater flexibility and potentially wider reach.
A collection of beginner-level project boilerplates (HTML/CSS, Node.js, Flask, Django, React, etc.) to help new developers start projects quickly and learn common project structures.
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launch-base provides ready-to-use boilerplate project templates for various technologies (HTML/CSS, Node.js, Flask, Django, React, etc.), enabling beginner developers to jumpstart their projects and learn best practices for common project structures. It accelerates the initial setup process, allowing learners to focus on coding and problem-solving rather than configuration.
AI Summary: Remove all "#TODO" comments from the OpenCodelists codebase without altering the code's functionality. This involves a code cleanup task to improve code readability and maintainability.
OpenCodelists is an open platform for creating and sharing codelists of clinical terms and drugs.
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OpenCodelists solves the problem of inconsistent and inaccessible clinical terminology by providing an open platform for creating and sharing standardized codelists of clinical terms and drugs. Key features include collaborative development and easy sharing of these crucial lists, improving interoperability and data quality in healthcare.
AI Summary: The task is to add a tool label to the vertex tool group within the TechDraw workbench of FreeCAD. This involves identifying the code responsible for displaying tooltips or labels in the GUI, modifying it to include a specific label for the vertex tool group, and then testing the change to ensure it functions correctly and doesn't introduce any new issues.
Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
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FreeCAD is a free and open-source 3D parametric modeler that solves the need for accessible and customizable CAD software. Its key features include multiplatform compatibility and a focus on parametric modeling, allowing for easy modification and iteration of designs.
AI Summary: Debug and fix video stuttering in an HTML5 canvas-based video carousel. The issue arises from the interaction between CSS animations and canvas rendering, causing inconsistent frame rates and visual jitter. Solutions should focus on synchronizing canvas rendering with the video frame rate and optimizing performance to eliminate the stuttering while maintaining smooth video playback within the animated carousel.
Main Website
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miro-logistics.com is the main website for Miro Logistics, a company that likely solves logistical challenges for businesses. The website's key features are not specified in the provided context, but it serves as the primary online presence for the company.
AI Summary: Implement support for sharing files and text via a public IPv6 address in the 'Share' application. This involves modifying the application's local HTTP server to listen on a public IPv6 address instead of only the local IP address, allowing users on different networks to access shared content.
Drop a file in this app to share it
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Share is a simple file-sharing application that allows users to quickly and easily share files by dropping them into the application. It streamlines the file-sharing process, eliminating the need for complex upload or email procedures.
AI Summary: Create a new Codecademy Docs entry explaining the C++ string `compare()` method. The entry should include a description, syntax, example, and compilable codebyte example, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Create a new Codecademy Docs entry on the C++ `swap()` string method. The entry should include a description, syntax, example, and compilable codebyte example, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Implement a thermal boundary condition for particles in the HiPACE++ plasma accelerator simulation code. This involves creating a new particle boundary type, adding a temperature input variable, and using this temperature to determine particle properties upon re-injection after hitting the domain boundary. The particle's new position and velocity should be calculated based on its trajectory.
Highly efficient Plasma Accelerator Emulation, quasistatic particle-in-cell code
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hipace is a quasistatic particle-in-cell code designed for highly efficient emulation of plasma accelerators. It solves the problem of computationally expensive plasma simulations by offering a fast and accurate alternative for modeling these complex systems.
GNOME Shell Extension that changes your desktop wallpaper to WikiArt's Artwork of the day with single click.
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WikiArt-Wallpaper-Gnome is a GNOME Shell extension that automatically sets your desktop wallpaper to a different piece of artwork from WikiArt each day. This solves the problem of finding and setting aesthetically pleasing wallpapers, providing a simple, one-click solution for refreshing your desktop background with high-quality art.
AI Summary: The task involves setting up a local development environment for a Wix website using Git, Node.js, npm or yarn, and the Wix CLI. This allows for local coding, testing with the Local Editor, and publishing via the command line. The provided issue, 'Viber Channel Communication', with its cryptic ID, suggests a potential communication problem related to the project, requiring investigation and resolution within the context of the Wix website's development workflow.
KSD Company website domain system data
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The KSD-Lighter-Myanmar-Company project manages domain system data for KSD Company in Myanmar. It aims to streamline and organize the company's website domain information, improving efficiency and data management.
AI Summary: Debug a Minecraft mod crash occurring during initialization. The crash report indicates a problem registering minecraft:air, possibly due to a conflict with another mod or a bug within GemRealms. The task involves analyzing the crash report, identifying the conflicting mod (if any), and fixing the bug in the GemRealms mod (version 2.8.0).
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GemsRealm is a project whose purpose is currently undefined due to missing project description and README. Therefore, no problem solved or key features can be identified.
AI Summary: The task is to add the "Spring to Life" panorama from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves integrating the necessary image files and potentially updating any related menu configurations.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Modify the `model` library's data structure by changing the `additionalData` field from a String to a JSONObject. This involves updating the code, recompiling, releasing a new version via JitPack, and updating dependent projects (webapp and Android apps) to use the new version. Release notes should be written if breaking changes are introduced.
📦 Code library shared amongst the Webapp and Android applications
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The 'model' project is a shared code library designed to streamline development for both web and Android applications. It addresses the problem of code duplication by providing a single, consistent codebase for common functionalities, improving maintainability and reducing development time.
AI Summary: Fix a bug in a multiple-select component where the highlight area for options is larger than the clickable selection area, causing inconsistencies in selecting options. The issue stems from CSS padding between list items and their labels within the dropdown. The solution involves adjusting the CSS to align the highlight and selection areas.
single and multiple select component written in native code
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The `multiple-select-vanilla` project provides a custom single and multiple select component built entirely with native JavaScript. This eliminates the need for external libraries, offering a lightweight and performant solution for handling selection inputs in web applications.
AI Summary: The task involves adding missing compendium items (vehicles, drones, creatures, tables, etc.) to a Foundry VTT system for Stars Without Number (SWN), Worlds Without Number (WWN), Cities Without Number (CWN), and Ashes Without Number (AWN). This includes implementing functional generator tables and potentially adding new item types like tags. Priority is given to SWN, WWN, and CWN, with AWN and Godbound to be considered later.
The Stars Without Number, Cities Without Number, and Ashes Without Number system for Foundry VTT
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swnr brings the Stars Without Number, Cities Without Number, and Ashes Without Number roleplaying game systems to Foundry Virtual Tabletop. It provides tools for managing starships, cities, and apocalyptic scenarios, streamlining gameplay and enhancing the virtual tabletop experience. Key features include character sheets, combat trackers, and world-building tools tailored to the unique mechanics of each game.
AI Summary: Create a Python script using pyautogui to automate the process of drafting emails in Outlook. The script should open Outlook, input a predefined subject and body into a new email, and save it as a draft. A README file should be included with setup instructions (pip install pyautogui) and usage instructions.
repo with windows automation scripts and tools!
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The `windows-automation` project provides a collection of scripts and tools designed to automate various tasks on Windows systems. It aims to streamline repetitive processes and improve efficiency by offering pre-built solutions for common automation needs.
AI Summary: Implement basic Progressive Web App (PWA) features including adding a manifest.json file, registering a service worker, and defining an offline caching strategy.
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The `reward-demo` project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
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The project's summary is unavailable due to missing project description and README information. Therefore, no problem solved or key features can be identified.
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The project's summary is unavailable due to missing project description and README information. Therefore, no problem solved or key features can be identified.
AI Summary: The Scoop Extras bucket's Google Chrome manifest is failing to download due to a 404 error from the Google Chrome download server. The task is to investigate why the download URL (https://dl.google.com/release2/chrome/fso2u5tvxnf2tmkcnbcfn4zchq_137.0.7151.120/137.0.7151.120_chrome_installer.exe#/) is returning a 404 Not Found error and either update the manifest with a correct URL or report the issue upstream to the Google Chrome maintainers.
📦 The Extras bucket for Scoop.
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Extras is a Scoop bucket providing supplemental software not included in the main Scoop repository. It addresses the need for a wider range of applications and tools, offering users convenient access through Scoop's package manager. Key features include curated packages and streamlined installation.
AI Summary: Refactor the `acceptOrCreateRelationship` function in the Shoot federated instant messenger server into two separate functions: `createRelationship` and `acceptRelationship`. This is necessary to prevent unintended relationship acceptance when receiving multiple consecutive Follow activities.
ActivityPub federated instant messaging server
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Shoot is an ActivityPub-based instant messaging server, solving the problem of fragmented messaging by enabling federated communication across different instances. Its key feature is the use of the ActivityPub protocol for interoperability and decentralized communication.
AI Summary: Implement a logout button in the FixTime application's user interface. This button should clear the authentication token (JWT) from local storage or the browser's session, and redirect the user to the login page. This requires modifications to both the frontend (React) and potentially the backend (Node.js/Express) to handle the logout request.
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Fix-Time is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Implement user profile picture functionality. This involves allowing users to upload a profile picture, storing it securely (likely in a cloud storage service like AWS S3 or similar), and displaying the profile picture in various places throughout the application (e.g., chat screens, user lists). The existing initial-letter placeholder should be replaced with the actual profile picture.
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The project `code-collab` aims to facilitate collaborative coding by providing a platform for developers to work together on projects. While specifics are unavailable due to missing description and README, it likely offers features such as shared code editing, version control, and communication tools.
AI Summary: The task involves improving the Japanese translation of the PHP documentation regarding session upload progress. Specifically, it requires correcting a sentence structure error in the translation of a section on how upload progress is accessed via the $_SESSION superglobal and POST variables, ensuring accuracy and fluency while maintaining the original meaning from the English source.
Japanese translation of the PHP documentation
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The doc-ja project addresses the lack of readily available Japanese translations for the PHP documentation. It aims to provide comprehensive and accurate Japanese translations of the official PHP documentation, making it more accessible to Japanese-speaking developers.
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The project's summary is unavailable due to missing project description and README information. Therefore, no problem solved or key features can be identified.
AI Summary: Fix the visual positioning of the title on KomunumoCards that lack images. The current issue causes the title to appear in an unexpected location. A potential solution involves using a placeholder image with a neutral background to maintain consistent card layout.
Open Source Community Manager and Fediverse compatible Meetup alternative
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komunumo is an open-source community management platform and Fediverse-compatible alternative to Meetup. It solves the problem of fragmented community management by providing a single, decentralized space for events, discussions, and member interaction, all while respecting user privacy and data ownership.
AI Summary: The task is to fix a layout issue in the Layer5 website's Google Link section on desktop view. The Google Link card is currently compressed and visually squished compared to the correct rendering on mobile. The solution requires modifying the website's CSS or React component responsible for rendering this section to ensure consistent spacing and aspect ratio across desktop and mobile views. The Figma design files and contributing guidelines are available for reference.
Layer5, expect more from your infrastructure
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Layer5 aims to improve the observability and management of service meshes, solving the problem of complex and fragmented service mesh deployments. Key features include providing a standardized control plane and offering tools for easier deployment, monitoring, and troubleshooting of service meshes across various platforms.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: The provided information is insufficient to determine the required task. The project description and README are missing, and the issue description ('vOIyMix5UZV9HrIpSowOzs3HyMhEQ1zeTWIkYd') appears to be a random string, not a meaningful description of the problem.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: This task requires implementing backend security features to differentiate between regular users and administrators. This involves creating functions to retrieve user IDs and team member information from the Onshape API, defining security levels (USER, MEMBER, ADMIN), and developing a mechanism to determine the current user's security level, considering both production and development environments. A method for enforcing admin privileges, either through a decorator or direct checks within relevant functions, needs to be implemented. Finally, a mechanism to communicate the user's security level to the frontend needs to be established.
The backend for FRCDesignApp, plus utilties for generating Onshape FeatureScript code and working with the Onshape api.
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FRCDesignApp provides a backend system and utilities for streamlining the design process for FIRST Robotics Competition teams. It simplifies Onshape API interaction and generates FeatureScript code, accelerating robot design and reducing development time.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: Optimize the XML DTD deserialization process in a Kotlin project by improving the regex matching loop. Currently, the loop checks all regex patterns against each line, even if a match is found early. The task involves refactoring this loop to improve efficiency by exiting early upon finding a match.
Parse an XML DTD into a Kotlin data class
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xmldtd-kt parses XML DTD files and generates corresponding Kotlin data classes. This simplifies the process of working with XML data in Kotlin by providing strongly-typed representations of the DTD structure.
AI Summary: The task is to modify an existing XML DTD parser (written in Kotlin) to correctly handle `ElementDefinition.Either` cases. Currently, the parser skips elements that can be one of several types; the fix requires generating appropriate Kotlin data classes to represent these 'either' scenarios, ensuring all data from the DTD is captured.
Parse an XML DTD into a Kotlin data class
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xmldtd-kt parses XML DTD files and generates corresponding Kotlin data classes. This simplifies the process of working with XML data in Kotlin by providing strongly-typed representations of the DTD structure.
AI Summary: Enhance the existing XML DTD parser (written in Kotlin) to correctly handle and include internal and external entities within the generated Kotlin data classes. This involves modifying the code generator to process entity declarations and incorporate them into the resulting data class structure.
Parse an XML DTD into a Kotlin data class
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xmldtd-kt parses XML DTD files and generates corresponding Kotlin data classes. This simplifies the process of working with XML data in Kotlin by providing strongly-typed representations of the DTD structure.
AI Summary: The task is to modify the existing XML DTD parser in Kotlin to handle multi-line `ATTLIST` declarations in XML DTD files. Currently, the parser only supports single-line `ATTLIST` declarations, ignoring those spanning multiple lines. The solution requires updating the parser's regular expressions or parsing logic to correctly interpret and process multi-line `ATTLIST` definitions, generating the appropriate Kotlin data class representation.
Parse an XML DTD into a Kotlin data class
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xmldtd-kt parses XML DTD files and generates corresponding Kotlin data classes. This simplifies the process of working with XML data in Kotlin by providing strongly-typed representations of the DTD structure.
AI Summary: Implement missing features in an XML DTD parser that converts XML DTDs into Kotlin data classes. The parser currently ignores unsupported DTD elements; the task involves adding support for these missing elements.
Parse an XML DTD into a Kotlin data class
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xmldtd-kt parses XML DTD files and generates corresponding Kotlin data classes. This simplifies the process of working with XML data in Kotlin by providing strongly-typed representations of the DTD structure.
AI Summary: Implement a DAO Controller smart contract on Starknet for a payment solution. This contract will manage proposals, voting, and decision-making within a decentralized organization. It should include functions for creating proposals, voting, setting thresholds, and storing proposal statuses, along with appropriate event emissions. Thorough testing is required.
Payment solution for businesses, centralized organizations and DAOs. Built on Starknet. To contribute, join at https://t.me/+FK0r6f8spyw0ZDU0
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Littlefinger is a payment solution built on Starknet designed to streamline transactions for businesses, centralized organizations, and DAOs. It offers a centralized platform for managing payments, addressing the complexities of handling diverse payment methods and organizational structures.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: Implement pagination for the `get_album()` method in the ytmusicapi library to efficiently retrieve all tracks from large playlists. This involves adding parameters (e.g., `offset` and `count`) to allow fetching tracks in batches, addressing the current limitation where only a subset of tracks is retrieved even with `limit=None`.
Unofficial API for YouTube Music
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ytmusicapi is an unofficial Python API providing access to YouTube Music's functionalities without relying on the official, limited API. It allows developers to programmatically interact with YouTube Music, enabling features like searching, browsing, and managing playlists and music libraries.
AI Summary: Implement a new feature in the pytest-reporter-plus plugin that allows the generated HTML report to automatically open in a browser if certain tests fail, controlled by a new environment variable `PYTEST_REP_PLUS_HTML_OPEN`.
No dashboards. No bloat. Just one HTML file with everything you need. no config setup needed in both CI and local.
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pytest-report-plus generates a single, comprehensive HTML report for pytest test results, eliminating the need for complex dashboards or configurations. It provides a clean, easily accessible summary of test execution, simplifying reporting in both CI/CD pipelines and local development environments.
AI Summary: Implement a perceptron algorithm for binary classification in Python or C++. The perceptron should update weights using the perceptron learning rule and be tested on a small, linearly separable dataset. The implementation should include well-structured code and a README explaining the approach and results.
ml-core is a community-driven, Python-based machine learning repository structured into specialized domains like computer vision, NLP, time series, and more. It serves as a curated hub for projects, notebooks, and model implementations — ideal for learning, collaboration, and contribution.
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ml-core is a Python-based machine learning repository addressing the need for a centralized, community-driven resource for various ML domains. It offers curated projects, notebooks, and model implementations, facilitating learning, collaboration, and contributions across computer vision, NLP, time series, and more.
AI Summary: Enhance the Crust game development tool's terminal output by integrating the `colored` crate to add color-coding for error and success messages, and potentially provide a user-facing function for colored text output.
A simple Scratch-like gamedev tool that has its own scripting language also named Crust!
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crust-engine is a user-friendly game development tool inspired by Scratch, enabling users to create games using its custom scripting language, Crust. It simplifies game creation by providing an intuitive interface and a straightforward scripting system, making game development accessible to beginners.
AI Summary: The task involves building an AI-powered learning system called aiprof. This system allows users to upload images or PDFs, perform OCR, generate image descriptions (VLM), summarize the text using an LLM (like GPT), and generate quizzes based on the summarized content. The project uses Django for the backend and integrates with various libraries for OCR, image processing, and LLM interaction. The provided information details the project structure, workflow, and code snippets for each component (file upload, OCR, VLM, LLM summarization, and quiz generation). The issue highlights a task allocation among team members.
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aiprof is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Add a new entry to the CloudCredits.io database for Neon's $100 credit program. This involves verifying the program's legitimacy, creating a structured entry with relevant details (link, terms, etc.), and submitting a pull request to the project's repository.
Massive community list of free credits and discounts for clouds, SaaS, tools, etc - with zero affiliations or ads.
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cloudcredits.io is a community-driven resource providing a comprehensive list of free credits and discounts for cloud services, SaaS platforms, and various development tools. It solves the problem of finding and accessing these valuable offers by aggregating them in one easily accessible, ad-free location.
AI Summary: Implement support for deriving parts into Onshape Part Studios by adding a derive feature using the existing `part_studios.add_feature` endpoint. This involves creating a suitable feature definition (potentially reusing one from the old MKCad app) and adding error handling to prevent deriving assemblies into Part Studios, displaying a warning to the user if attempted.
The backend for FRCDesignApp, plus utilties for generating Onshape FeatureScript code and working with the Onshape api.
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FRCDesignApp provides a backend system and utilities for streamlining the design process for FIRST Robotics Competition teams. It simplifies Onshape API interaction and generates FeatureScript code, accelerating robot design and reducing development time.
AI Summary: This task requires refactoring the `save_all_documents` function in the Flask backend to use asynchronous operations. This involves installing the `flask-async` module using `uv`, creating asynchronous versions of relevant endpoints, and adding asynchronous loops around Onshape API calls within the `save_element` and `save_document` loops. The goal is to improve performance by concurrently processing documents.
The backend for FRCDesignApp, plus utilties for generating Onshape FeatureScript code and working with the Onshape api.
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FRCDesignApp provides a backend system and utilities for streamlining the design process for FIRST Robotics Competition teams. It simplifies Onshape API interaction and generates FeatureScript code, accelerating robot design and reducing development time.
This is our Modern Systems and Analysis Design Project output for the Midyear Semester of 2024-2025
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The Buck-Web-Application is a modern web application designed to address an unspecified problem (details missing from provided context). Its key features are currently undefined due to insufficient project information.
AI Summary: Implement a feature in Ghostfolio, an open-source wealth management application, allowing users to rotate their security tokens. This involves creating a new API endpoint to generate new tokens, updating user permissions, adding a form to the user interface for token rotation confirmation, and displaying the newly generated token to the user.
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
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ghostfolio is open-source wealth management software addressing the need for a customizable and transparent personal finance solution. Key features include a user-friendly interface built with Angular and NestJS, leveraging Prisma and Nx for efficient data management and development.
AI Summary: The task is to debug and fix a resource leak in the Apache Airflow Databricks provider. The `DatabricksRunNowOperator` with `deferrable=True` is leaving unclosed `aiohttp` ClientSession and TCPConnector objects, resulting in warnings and potential performance issues. The solution involves identifying the location of the unclosed resources within the provider's code (likely in the `DatabricksExecutionTrigger`), and implementing proper `async` resource management (using `async with` statements or ensuring proper closure in `finally` blocks) to ensure these resources are closed after use, eliminating the warnings and preventing potential resource exhaustion.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring data workflows. It allows defining workflows as code, improving maintainability, versioning, testability, and collaboration, and features a user interface for visualizing and monitoring pipelines.
AI Summary: The task is to remove all instances of `cslib::Out` from the codebase and replace them with `std::cout`, effectively eliminating the custom output stream wrapper `cslib::Out` in favor of the standard library's `std::cout`. This likely involves a find-and-replace operation, potentially with some manual adjustments for edge cases.
Any function or class I might in any of my projects. Feel free to add your sauce though
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CeggsyLib is a personal utility library containing reusable functions and classes for various programming tasks. It aims to streamline development by providing readily available components and promoting code reusability across different projects.
AI Summary: Debug and fix a delay in displaying the second expense in the split expense feature of the Expensify mobile app. The issue is reproducible on Android and potentially other platforms. The fix should ensure both expenses and the total are displayed simultaneously.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Refactor the `SortMergeJoinMetrics` struct in the Apache DataFusion project to inherit from or utilize the existing `BaselineMetrics` struct, thereby ensuring consistency and reducing redundancy in metric tracking for the Sort-Merge Join operator. This involves modifying the `SortMergeJoinMetrics` definition to include `BaselineMetrics` and potentially adjusting related code to reflect the change.
Apache DataFusion SQL Query Engine
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Apache DataFusion is a distributed, extensible SQL query engine built for efficient data processing. It solves the problem of needing a performant and flexible query engine that can handle diverse data sources and integrates well with other systems. Key features include its support for various data formats and execution plans, along with its extensibility through custom operators and functions.
AI Summary: Refactor the `UnnestMetrics` code in the Apache DataFusion project to reuse the existing `BaselineMetrics` code, improving code maintainability and reducing redundancy. This is a code refactoring task aimed at improving the efficiency and structure of the project's metrics handling.
Apache DataFusion SQL Query Engine
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Apache DataFusion is a distributed, extensible SQL query engine built for efficient data processing. It solves the problem of needing a performant and flexible query engine that can handle diverse data sources and integrates well with other systems. Key features include its support for various data formats and execution plans, along with its extensibility through custom operators and functions.
AI Summary: Refactor the `BuildProbeJoinMetrics` function within the Apache DataFusion Hash Join algorithm to reuse the existing `BaselineMetrics` structure, improving code efficiency and maintainability. This is a code refactoring task aimed at reducing redundancy and improving the overall design of the metrics collection in the hash join implementation.
Apache DataFusion SQL Query Engine
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Apache DataFusion is a distributed, extensible SQL query engine built for efficient data processing. It solves the problem of needing a performant and flexible query engine that can handle diverse data sources and integrates well with other systems. Key features include its support for various data formats and execution plans, along with its extensibility through custom operators and functions.
AI Summary: Refactor the `StreamJoinMetrics` component of the Apache DataFusion project to reuse the existing `BaselineMetrics` component, improving code consistency and maintainability. This involves modifying the code to leverage the functionality already present in `BaselineMetrics` instead of duplicating it in `StreamJoinMetrics`.
Apache DataFusion SQL Query Engine
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Apache DataFusion is a distributed, extensible SQL query engine built for efficient data processing. It solves the problem of needing a performant and flexible query engine that can handle diverse data sources and integrates well with other systems. Key features include its support for various data formats and execution plans, along with its extensibility through custom operators and functions.
AI Summary: Develop a Rust-based system using Tokio for asynchronous operations, YAML for configuration, and regular expressions for pattern matching to automatically control agents based on rules defined in a YAML file. The system should handle hot reloading of the YAML configuration, provide Prometheus metrics, and ensure robustness against errors. The project involves several phases, starting with project setup and core implementation, followed by integration, and finally documentation and testing.
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The project 'rule-agents' lacks a description and README, preventing a clear summary. Without further information, its purpose and features remain unknown.
AI Summary: The task is to analyze a project and issue description, both in Vietnamese, concerning the impact of DEI policies on layoffs in tech companies, and contrasting leadership styles of Trump and Biden using DISC and MBTI frameworks. The goal is to provide a concise summary of the issue and rate the task's fun and complexity.
Tuần trước tôi đã từ bỏ ý tưởng từng tâm đắc này
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The LambdaInformationColonData project aimed to solve an unspecified problem (details unavailable due to project abandonment). Key features are unknown as the project was abandoned before completion and lacks documentation.
AI Summary: Validate the DevContainer configuration for the AI Foundry SPA project, ensuring all development tools are functional within the container and the complete development workflow operates correctly. This includes testing container creation, tool installations (Node.js, .NET SDK, Azure CLI, etc.), port forwarding, frontend and backend development, VS Code extensions, and integration testing with Azurite and Azure deployment. Documentation updates and a comparison with the DevBox setup are also required.
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The project 'ai-in-a-box' aims to simplify the deployment and use of AI models, solving the problem of complex infrastructure and setup requirements. Key features are likely to include streamlined model deployment, user-friendly interfaces, and potentially pre-built AI models for common tasks.
AI Summary: Validate the DevBox configuration for the AI Foundry SPA project. This involves creating a DevBox instance from the provided `imageDefinition.yaml`, verifying the installation and functionality of all necessary development tools (Node.js, .NET SDK, Azure CLI, etc.), and testing the complete development workflow, including local testing and Azure deployment. Documentation updates are required to reflect the validation results and any necessary troubleshooting steps.
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The project 'ai-in-a-box' aims to simplify the deployment and use of AI models, solving the problem of complex infrastructure and setup requirements. Key features are likely to include streamlined model deployment, user-friendly interfaces, and potentially pre-built AI models for common tasks.
AI Summary: The task involves contributing to the development of an Object-Oriented Programming (OOP) system for the Zerionyx programming language. This includes designing the syntax and semantics for class definition, inheritance, method binding, and handling `this`/`self` scoping. The current OOP system is described as experimental and buggy, offering a significant challenge and opportunity for improvement.
Zerionyx programming language - simple, educational, and task-oriented.
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Zerionyx is a simple, educational programming language designed for learning and completing specific tasks. Its focus on ease of use and clear syntax makes it ideal for beginners and those seeking a straightforward solution for small-scale projects.
AI Summary: Implement authentication checks on the home page's "Search Room" button. If a user is logged in as a renter, redirect them to the `findRooms` page. Otherwise, display a page prompting them to sign up or log in.
A renter-landowner platform where landowners can upload and manage rooms, track renter payments, and update or remove renter details. Renters can search rooms, request bookings, view their history, and save favorites. Both landowners and renters have secure login and signup access.
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Renters is a platform connecting landowners with renters, solving the problem of inefficient room rental management. Key features include secure user accounts, room listings and management for landowners, and booking, history, and favorite-saving tools for renters.
AI Summary: The task is to determine how to import contacts into the BillionMail open-source email marketing platform. The provided issue includes screenshots suggesting a user interface challenge, possibly related to file upload or data formatting.
BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord: https://discord.gg/asfXzBUhZr
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BillionMail is a self-hosted, open-source solution for email servers, newsletters, and email marketing, eliminating the need for monthly subscription fees. It's designed to be developer-friendly and offers a complete, free alternative to commercial email services.
AI Summary: Integrate rspamd spam score display into the BillionMail user interface. This involves retrieving the spam score from rspamd's output after email processing and adding a new section to the UI to show this score for sent emails.
BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord: https://discord.gg/asfXzBUhZr
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BillionMail is a self-hosted, open-source solution for email servers, newsletters, and email marketing, eliminating the need for monthly subscription fees. It's designed to be developer-friendly and offers a complete, free alternative to commercial email services.
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The Personalized-Academic-Tracker project addresses the need for students to effectively manage their academic workload. It provides personalized features to track assignments, deadlines, and grades, helping students stay organized and improve their academic performance.
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The project tjucs-airank-2025 lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Add estimated completion times to all existing and future issues on the project board for the Battlesnake JavaScript project. This includes retroactively adding estimates to already existing issues before the major release.
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The project, group-8-BattleSnake, is a BattleSnake AI agent. It aims to solve the problem of creating a competitive AI for the BattleSnake game by implementing strategic movement and food acquisition algorithms. Key features would include pathfinding, opponent avoidance, and food prioritization.
AI Summary: Debug and fix an issue where the iOS onboarding flow fails to appear after signing up with Apple. The issue is reproducible in both staging and production environments. The task involves investigating the iOS app's codebase, identifying the root cause of the problem (likely within the authentication or onboarding flow logic), and implementing a fix. Testing on an iOS simulator or device with iOS 18.5 is required to verify the solution.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Enhance the FFlow workflow library to support attaching metadata (name, description, tags) to workflow steps and workflows. This involves extending the `FlowStep` class or using attributes, modifying the builder API to allow metadata setting, ensuring metadata accessibility during runtime and by event listeners, updating documentation, and writing comprehensive tests.
FFlow is a lightweight, extensible workflow automation library for .NET with fluent, code-first syntax. Built for CI/CD, DevOps, and backend orchestration, it supports dependency injection, branching logic, and step decorators—no XML or DSL required.
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FFlow is a .NET workflow automation library simplifying CI/CD, DevOps, and backend orchestration. Its fluent, code-first syntax, coupled with features like dependency injection and branching logic, eliminates the need for XML or DSL configuration, resulting in cleaner, more maintainable workflows.
AI Summary: Implement boundaries for panning in a WebGL scatterplot chart to prevent users from panning beyond the data points, ensuring that data points remain visible even when zoomed in. This involves modifying the existing WebGL chart component to restrict panning based on the data point extents.
An interactive python terminal UI wrapper for mango tree analyzers
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mango-tango-cli provides a user-friendly interactive command-line interface for analyzing mango trees using Python. It simplifies the interaction with underlying mango tree analyzers, making complex analysis tasks more accessible.
AI Summary: Translate the provided Russian README.md file for a web application that optimizes postal delivery air routes using swarm intelligence algorithms into English. The translation should accurately reflect the technical details of the project, including the mathematical model, algorithms used (PSO and a greedy algorithm), distance calculations, interface description, and instructions for running and expanding the project.
Веб-приложение для оптимизации авиамаршрутов доставки почтовых отправлений с использованием роевого интеллекта
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The postal-route-optimization project is a web application that uses swarm intelligence to optimize airmail delivery routes. It solves the problem of inefficient postal delivery by finding faster and more cost-effective routes, improving delivery times and reducing fuel consumption.
AI Summary: Refactor the Rust code of the Ruff linter to remove redundant `LinterSettings` fields by using the `LintContext`'s settings instead of the `Checker`'s settings. This involves resolving lifetime issues related to the `Checker` and `LintContext` structs, potentially requiring adding explicit lifetimes or a new lifetime parameter to `Checker`.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: Implement several missing features from Feather version 1.x into the current version 2.x. These features include a built-in app icon picker, screenshot viewing, sharing options, date display in repositories, immediate post-signing installation, reset options in settings (including NUKE cache clearing), and AltStore repository updating functionality. The task involves reviewing the original features, assessing their feasibility within the current codebase, and implementing them while maintaining code quality and user experience.
Feather is a free on-device iOS application manager/installer, using certificates part of the Apple Developer Program.
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Feather is a free iOS application manager that allows users to install apps directly onto their devices using Apple Developer Program certificates. It bypasses the App Store, offering a convenient alternative for installing and managing apps, particularly useful for testing or sideloading.
AI Summary: The task involves adding support to the MapLibre Compose Multiplatform library for merging pre-generated offline map tile databases. This requires researching how to create or obtain such databases, creating a common interface for merging them (across Android and iOS), and potentially (but not necessarily) adding a helper function for downloading them from a URL. The primary focus is on Android and iOS platforms, leveraging existing MapLibre Native functionalities.
Add interactive vector tile maps to your Compose app
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maplibre-compose simplifies adding interactive, vector tile maps to Android applications built with Jetpack Compose. It leverages MapLibre-GL for rendering and provides a declarative, Kotlin-based API for easy map integration and customization.
AI Summary: Redesign the Nimbus cloud storage application dashboard based on a provided Figma design. This involves breaking down the redesign into smaller, manageable pull requests focusing on the header, sidebar, and file display components. Each component should integrate with existing functionality to fetch and display data from Google Drive, rather than using dummy data.
An open source alternative to Google Drive, One Drive, iCloud, etc.
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Nimbus is an open-source cloud storage solution offering a decentralized alternative to proprietary services like Google Drive and OneDrive. It prioritizes user privacy and data control by providing secure file storage and sharing capabilities without reliance on centralized servers.
AI Summary: Investigate why the Firebase Cloud Messaging (FCM) connection in the Exclave Android app consistently drops around 900 seconds (15 minutes) despite a 3600-second (1 hour) nginx timeout setting. The issue seems to be related to a firewall actively targeting FCM, and the unusual pattern of connection drops at near-15-minute intervals needs to be diagnosed. Debugging will likely involve examining logs and potentially network traffic analysis to pinpoint the cause of the disconnections.
A proxy client derived from SagerNet and powered by a custom fork of v2ray-core.
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Exclave is a proxy client built upon SagerNet and a custom v2ray-core fork, designed to provide secure and reliable internet access by circumventing network restrictions. Its key features leverage the strengths of its underlying technologies for enhanced performance and privacy.
AI Summary: The user is experiencing DNS resolution issues with BillionMail, specifically when the outgoing and incoming IPs differ. They've added an A record for the incoming IP, but verification fails. The task is to determine the correct IP address (outgoing or incoming) to use for SPF record configuration and resolve the DNS resolution problem to successfully verify the domain.
BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord: https://discord.gg/asfXzBUhZr
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BillionMail is a self-hosted, open-source solution for email servers, newsletters, and email marketing, eliminating the need for monthly subscription fees. It's designed to be developer-friendly and offers a complete, free alternative to commercial email services.
AI Summary: Integrate the ScanAPI tool into the DataJourney (DJ) project to test and monitor the APIs used within DJ. This involves identifying the APIs used in DJ, determining the appropriate integration pattern with ScanAPI, and implementing the integration.
Design first Open Source Data Management Toolkit
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DataJourney is an open-source data management toolkit designed to simplify the complexities of data handling. It prioritizes a design-first approach, offering intuitive tools and features to streamline data organization, processing, and analysis.
AI Summary: Investigate the OpenSSF Scorecard and its related tools (scorecard-visualizer and OpenSSF Scorecard Monitor GitHub Action) to assess their potential integration into the DataJourney open-source data management toolkit. The goal is to determine how the OpenSSF Scorecard can be used to enhance the security posture of DataJourney.
Design first Open Source Data Management Toolkit
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DataJourney is an open-source data management toolkit designed to simplify the complexities of data handling. It prioritizes a design-first approach, offering intuitive tools and features to streamline data organization, processing, and analysis.
AI Summary: Implement a loading state for the 'create podcast' button to prevent duplicate submissions and improve user experience. This involves adding visual feedback (e.g., a spinner) while the podcast creation request is being processed.
Este projeto tem como objetivo o desenvolvimento de uma plataforma web voltada à organização, ao acesso e à disseminação de conteúdos educacionais em formato de podcast. A proposta busca facilitar o compartilhamento de conhecimento no ambiente acadêmico da FCTE, promovendo uma forma acessível e dinâmica de aprendizado por meio do áudio.
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The 2025.1-T01-_G7_FCTEPodcast project develops a web platform to organize, access, and disseminate educational podcast content within the FCTE academic environment. This platform aims to improve knowledge sharing by providing an accessible and engaging audio-based learning experience.
AI Summary: The task involves investigating and resolving an issue ('Issue de priueba') within a project ('la cabtra') whose description and README are unclear and possibly contain typos or intentional obfuscation. The issue description itself seems to be a test, possibly involving code or system testing, and mentions a user (@pacter-69).
la cabtra
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The provided project information is insufficient to generate a meaningful summary. The project name 'PROJECT_GCG' and description 'la cabtra' offer no insight into its purpose or functionality. More details are needed to describe the problem it solves and its key features.
AI Summary: Implement dependency injection (DI) in an AvaloniaUI application to resolve issues caused by coupled view-models. This involves creating a DI container, refactoring view-models to use constructor injection and a shared `ViewModelBase`, and ensuring no view-model instantiates another directly. All view-model access must go through the DI container. A constructor with no parameters is also required for Avalonia's designer.
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Insufficient information is provided to summarize projeto-2a. The description and README are undefined, preventing a meaningful summary of its problem or features.
AI Summary: Recursively scan a large, complex multi-agent AI codebase (4000+ lines) to identify remaining development opportunities before hackathon submission. This involves reviewing code quality, potential bugs, and areas for improvement in a system using FastAPI, React, Google Cloud, and advanced AI coordination.
Sophisticated autonomous multi-agent system that generates complete full-stack applications through intelligent AI coordination.
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nexus-forge is an AI-powered system that automates the creation of full-stack applications. It leverages a sophisticated multi-agent architecture to intelligently coordinate the development process, solving the problem of complex and time-consuming application development.
AI Summary: The user is experiencing an error, `AttributeError: Can't pickle local object 'PreTrainedModel.enable_input_require_grads.<locals>.make_inputs_require_grads'`, while running the `weclone-cli train-sft` command to train a custom digital avatar model. This error stems from the inability of the multiprocessing module to serialize a local object during the training process. The task is to debug and resolve this pickling error within the WeClone project, likely involving modifications to the training script or data handling to ensure all necessary objects are serializable.
🚀 One-stop solution for creating your digital avatar from chat history 💡 Fine-tune LLMs with your chat logs to capture your unique style, then bind to a chatbot to bring your digital self to life. 从聊天记录创造数字分身的一站式解决方案
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WeClone creates personalized digital avatars from user chat history. It fine-tunes large language models (LLMs) on this data to replicate individual writing styles and integrates the result into a chatbot, effectively bringing a digital version of the user to life.
AI Summary: Correct a typo in the Table of Contents (TOC) YAML file for the `dotnet package` documentation. The word "earch" should be changed to "search". This involves locating the specified line in the YAML file, making the correction, and then submitting a pull request.
This repository contains .NET Documentation.
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The 'docs' project provides comprehensive documentation for .NET, addressing the need for readily accessible and well-organized information on the framework. Key features include detailed explanations of APIs, tutorials, and guides to assist developers in utilizing .NET effectively.
AI Summary: This task involves refactoring the database logic of a Python bulk downloader application. The current implementation uses raw SQL queries and needs to be replaced with an Object-Relational Mapper (ORM) like SQLAlchemy to improve maintainability and scalability. This includes defining a database schema, migrating existing data, and ensuring backward compatibility with older database versions. The goal is to create a more robust and extensible database system.
Bulk Gallery Downloader for Cyberdrop.me and Other Sites
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CyberDropDownloader is a bulk image downloader designed to efficiently retrieve galleries from Cyberdrop.me and other similar websites. It solves the problem of manually downloading numerous images by automating the process, saving users significant time and effort.
AI Summary: Create comprehensive documentation for the Paddi project, including API documentation for each agent, a user guide with examples, contributor guidelines, architecture diagrams, troubleshooting and security best practices guides, example configurations and templates, and video tutorials or demos. The documentation should be structured according to a provided outline and deployed to a site with search functionality.
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Paddi is a project whose purpose is currently undefined due to missing project description and README. Therefore, no problem it solves or key features can be summarized.
AI Summary: Fix the misalignment of the main menu in the Vetlog application's Spanish language version when viewed in Firefox. The issue is browser and language-specific, requiring debugging of CSS and potentially language-specific styling to ensure proper alignment between the logo and menu.
Maintain your pet history organized
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vetlog-spring-boot is a Spring Boot application designed to help pet owners maintain organized records of their pet's health history. It solves the problem of scattered vet records by providing a centralized, easily accessible digital solution.
AI Summary: Modify the refetching mechanism in the Musical application to prevent interruption of currently playing tracks. The refetching should update the track list without pausing or stopping playback. This likely involves optimizing the timing and/or method of data fetching and updating the UI.
A Social music player where people choose which music to play next, the song which has most upvotes is played next. Built using Typescript,Next.js,mongoDB.
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Musical is a social music player that addresses the problem of collaborative music selection. Users upvote their preferred songs, and the track with the most votes plays next, creating a shared listening experience. It's built using TypeScript, Next.js, and MongoDB.
AI Summary: Implement functionality for the 'Play Next' button in a social music player application. This involves handling user clicks, fetching the next song based on upvote count from a MongoDB database, and updating the currently playing track in the application's UI.
A Social music player where people choose which music to play next, the song which has most upvotes is played next. Built using Typescript,Next.js,mongoDB.
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Musical is a social music player that addresses the problem of collaborative music selection. Users upvote their preferred songs, and the track with the most votes plays next, creating a shared listening experience. It's built using TypeScript, Next.js, and MongoDB.
AI Summary: The issue is that the user has configured the KoboldCPP AI source in the Fount AI character interaction framework, but the application reports 'no connection to sources'. The task is to troubleshoot this connection problem, likely involving checking network connectivity, verifying the KoboldCPP API is running correctly on port 5001, and ensuring the correct API endpoint is specified within Fount's settings.
An extensible framework for building and hosting AI character interactions. Built with pure JS, Fount offers unparalleled flexibility via modular components, custom AI source integration, powerful plugins, and a seamless cross-platform chat experience.
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Fount is an extensible JavaScript framework for creating and deploying AI character interactions. It solves the problem of inflexible AI chat systems by offering modular components, customizable AI integrations, and powerful plugins, enabling seamless cross-platform chat experiences.
AI Summary: The task requires implementing Asahi Linux firmware loading support within the µgRD initramfs generator. This involves creating a new µgRD module analogous to the AsahiLinux/asahi-scripts dracut module, which loads necessary firmware for Asahi Linux (Apple Silicon) systems. The module should integrate seamlessly with µgRD's existing configuration and validation mechanisms.
A minimalistic and user friendly POSIX initramfs generator, designed for encrypted systems
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ugrd is a simple, user-friendly tool for creating POSIX-compliant initramfs images, specifically tailored for encrypted systems. It addresses the challenge of generating initramfs for encrypted setups by providing a streamlined and easy-to-use solution, minimizing complexity and maximizing compatibility.
AI Summary: Migrate the existing hotkey functionality in the `game-play.component` of the Glowrift Duskhall project to use the `ngneat/hotkeys` library. This involves replacing existing `HostListener` implementations with the `ngneat/hotkeys` API.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: The task is to correct a minor error in a warning message within the Godot Engine's 2D navigation system. The error is a simple typo in a file path reference within the warning message, specifically changing 'navigation/3d/' to 'navigation/2d/' to accurately reflect the 2D nature of the issue.
Godot Engine – Multi-platform 2D and 3D game engine
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Godot Engine is a free and open-source game engine for creating 2D and 3D games across multiple platforms. It solves the problem of high development costs and limited accessibility by providing a powerful, user-friendly toolset with a visual scripting system and a robust feature set.
AI Summary: Create a GitHub Actions workflow that runs the `make generate` command before each commit to ensure generated files are included in the repository. This involves configuring a workflow file within the GitHub repository to execute the command and potentially handle any errors that might occur during generation.
A tool to organize docker components in your monolythic server.
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Wharf streamlines the management of Docker components within monolithic servers, addressing the organizational challenges of complex deployments. It simplifies the process of organizing and interacting with multiple Docker containers, improving efficiency and maintainability.
AI Summary: Debug and fix a bug in Apache HertzBeat (version 1.7.0) where adding monitors via the API requires including unused fields in the request, otherwise the monitors show as down. The task involves analyzing the API request/response, identifying the root cause of the issue (why unused fields are unexpectedly required), and modifying the code to make the API more robust and handle missing optional fields correctly.
Apache HertzBeat(incubating) is a real-time monitoring system with agentless, performance cluster, prometheus-compatible, custom monitoring and status page building capabilities.
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Apache HertzBeat is a real-time monitoring system that eliminates the need for agents, offering performance cluster monitoring, Prometheus compatibility, and customizable monitoring and status page creation. It solves the problem of complex and resource-intensive monitoring by providing a lightweight, flexible, and powerful solution.
AI Summary: Debug a bug in the Phanpy Mastodon client where clicking on images sometimes causes a STATUS_BREAKPOINT error in Microsoft Edge on Windows 11. The bug seems to be related to image loading in the 'new posts' popup or auto-streaming images. The task involves reproducing the error, investigating the cause (potentially related to image loading or browser interaction), and implementing a fix.
A minimalistic opinionated Mastodon web client
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phanpy is a minimalist Mastodon web client designed for users who prefer a clean and uncluttered interface. It prioritizes ease of use and a streamlined experience, focusing on core Mastodon functionality without unnecessary features.
AI Summary: Test the spectate functionality in the LilithPort netplay client (forked from the JP 1.08 version) to determine if it is working correctly, as reported issues suggest it may be broken.
A regularly updated version of the LilithPort FM95/FM2K netplay client. Made for Windows XP+.
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LilithPort is an updated netplay client for the FM95/FM2K fighting games, solving the problem of outdated and unsupported clients. It offers improved compatibility and regular updates for Windows XP and later operating systems, ensuring a smoother online gaming experience.
AI Summary: The task involves completing the implementation of a 'rest on connect' feature for the LilithPort netplay client. This requires debugging and fully integrating existing base code to ensure the feature functions correctly within the client's multiplayer environment.
A regularly updated version of the LilithPort FM95/FM2K netplay client. Made for Windows XP+.
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LilithPort is an updated netplay client for the FM95/FM2K fighting games, solving the problem of outdated and unsupported clients. It offers improved compatibility and regular updates for Windows XP and later operating systems, ensuring a smoother online gaming experience.
AI Summary: The task is to modify the HertzBeat API endpoint for creating ping tests. Currently, it redundantly requires specifying the target hostname in both the main `monitor` section and the `params` section. The improvement requires removing the redundant `host` parameter from the `params` section, ensuring that only the `host` specified in the `monitor` section is used.
Apache HertzBeat(incubating) is a real-time monitoring system with agentless, performance cluster, prometheus-compatible, custom monitoring and status page building capabilities.
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Apache HertzBeat is a real-time monitoring system that eliminates the need for agents, offering performance cluster monitoring, Prometheus compatibility, and customizable monitoring and status page creation. It solves the problem of complex and resource-intensive monitoring by providing a lightweight, flexible, and powerful solution.
AI Summary: Review and clean up the Jupyter project's wiki pages, removing spam, unhelpful edits, and ensuring the information is accurate and up-to-date.
Jupyter metapackage for installation, docs and chat
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The Jupyter metapackage simplifies the installation process for Jupyter notebooks and related tools. It also provides centralized documentation and integrates chat functionality for enhanced collaboration and support.
AI Summary: The task is to debug and fix an issue in the ImprovedTube YouTube extension where the audio automatically mutes when an advertisement is playing. This involves investigating the extension's code to identify the source of the unintended muting behavior and implementing a solution to prevent it.
Open YouTube & Video browser-extension [top~1] Enrich your experience&choice!🧰200+options; clever features📌set&forget📌Longest-standing. Join🧩us?👨👩👧👧 ⋮ {playback|content discovery|player|extra buttons|distractions|related videos|shorts|ads|quality|codec|full tab|full screen}
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The YouTube open-source browser extension enhances the YouTube viewing experience by providing 200+ options to customize playback, content discovery, and the player itself. Key features include advanced settings for ad blocking, video quality control, and distraction reduction, offering users significantly more control over their YouTube experience.
AI Summary: Analyze the shell scripts within the `os-setup` project using ShellCheck to identify and fix potential errors and vulnerabilities before deploying them. This involves running ShellCheck on the `run.sh` script and any other scripts executed by the project.
Basic scripts to make setting up a fresh install easier.
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os-setup simplifies the initial configuration of a new operating system installation. It provides basic scripts to automate common setup tasks, reducing manual effort and ensuring consistency.
AI Summary: Implement a language selection dropdown on the Drawpile web browser start page. The dropdown should allow users to choose a language before starting the application, defaulting to a URL parameter, browser language, or English. The implementation should use JavaScript and HTML and avoid flag icons, displaying language names in English and their native script.
A collaborative drawing program
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Drawpile is a collaborative drawing program that solves the problem of needing a shared, real-time whiteboard for multiple users. Its key features include simultaneous drawing, various brush tools, and easy sharing capabilities, making it ideal for brainstorming, remote collaboration, and casual fun.
AI Summary: Change the background color of the Amazon clone website to white, matching the color of the product images. This involves modifying the CSS to adjust the background color property.
This project involves animation property's applied using css and the icons and symbols are collected from Fontawesome
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This project recreates a simplified Amazon-like interface using HTML and CSS. It focuses on demonstrating front-end styling and animation techniques, utilizing Font Awesome for icons.
AI Summary: Debug why the ACE-KILLER application, designed to manage anti-cheat processes for games like Valorant and Delta Force, is being flagged as malware by Windows Defender and immediately terminates on Windows 11. This requires investigating the application's code, potentially analyzing its interactions with system processes and the anti-virus software, and resolving the false positive or identifying a genuine security issue.
✨ 游戏反作弊进程优化工具 ✨
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ACE-KILLER is a game anti-cheat process optimization tool designed to improve the efficiency and effectiveness of anti-cheat systems. It addresses the performance issues often associated with anti-cheat software, enhancing the gaming experience by reducing lag and improving stability.
AI Summary: The task is to refactor the `InteractionHandlerContextMenuInjector.cs` file within the MonkeyLoader Resonite GamePack to utilize a transpiler instead of its current implementation. This aims to improve the code's robustness and prevent future breakage due to changes in the Resonite game.
MonkeyLoader Game Pack which provides hooks for Resonite mods.
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MonkeyLoader.GamePacks.Resonite is a game pack for MonkeyLoader that enables the use of Resonite mods. It provides necessary hooks and integration to allow seamless functionality between the modding framework and the game, expanding modding capabilities.
AI Summary: The task is to refactor the `CustomInspectorInjector.cs` file within the MonkeyLoader Resonite GamePack to utilize a transpiler instead of its current implementation. This aims to improve the code's robustness and prevent potential future breakages caused by changes in the Resonite game.
MonkeyLoader Game Pack which provides hooks for Resonite mods.
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MonkeyLoader.GamePacks.Resonite is a game pack for MonkeyLoader that enables the use of Resonite mods. It provides necessary hooks and integration to allow seamless functionality between the modding framework and the game, expanding modding capabilities.
AI Summary: Migrate a JavaScript-based TODO application to TypeScript. This involves converting all JavaScript files to TypeScript, adding type definitions, updating configuration files, and ensuring that the build and test processes remain functional.
a todo project build with pair programming
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Bolt_Task_backend is a collaborative todo list application built using pair programming. It solves the problem of managing tasks efficiently through a shared, easily accessible interface.
AI Summary: Set up a basic Go HTTP server with a health check endpoint. This is the initial backend setup for a project focused on managing tithes (likely a financial application).
Bring the full tithe into the storehouse, that there may be food in my house. Test me in this, says the Lord of hosts, if I will not open for you the windows of heaven and pour you out a blessing, that there shall not be room enough to receive it.
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storeHouse is a project inspired by Malachi 3:10, focusing on tithing and resource management. It aims to help individuals and organizations track their contributions and manage resources effectively, potentially leading to improved resource allocation and abundance.
AI Summary: Set up a basic Flutter application with a bottom navigation bar for a tithe tracking app. The app will include screens for a dashboard, transactions, and adding new transactions. Basic styling and theming should also be implemented.
Bring the full tithe into the storehouse, that there may be food in my house. Test me in this, says the Lord of hosts, if I will not open for you the windows of heaven and pour you out a blessing, that there shall not be room enough to receive it.
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storeHouse is a project inspired by Malachi 3:10, focusing on tithing and resource management. It aims to help individuals and organizations track their contributions and manage resources effectively, potentially leading to improved resource allocation and abundance.
AI Summary: Design and implement a dashboard UI to display real-time financial metrics (Total Income, Total Expenses, Current Balance). This is part of a larger project focused on financial management, potentially related to tithing.
Bring the full tithe into the storehouse, that there may be food in my house. Test me in this, says the Lord of hosts, if I will not open for you the windows of heaven and pour you out a blessing, that there shall not be room enough to receive it.
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storeHouse is a project inspired by Malachi 3:10, focusing on tithing and resource management. It aims to help individuals and organizations track their contributions and manage resources effectively, potentially leading to improved resource allocation and abundance.
AI Summary: The task is to debug a Django error occurring when running the scPRINT Docker image. The error, `django.core.exceptions.ImproperlyConfigured: Requested setting INSTALLED_APPS, but settings are not configured`, indicates a problem with Django's settings configuration within the Docker container. The solution likely involves correcting the Django settings within the Dockerfile or the container's environment to properly initialize the `INSTALLED_APPS` setting before running scprint commands.
single cell foundation model for Gene network inference and more
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scPRINT is a single-cell foundation model designed to infer gene regulatory networks. It addresses the challenge of understanding complex gene interactions within single cells by providing a powerful and versatile computational framework for network inference and related analyses.
AI Summary: The task involves fixing JavaScript linting errors reported in the stdlib project. This includes identifying and correcting issues such as unexpected 'todo' comments and potentially other linting violations in multiple files across various sub-packages. The fixes should be committed in a pull request with the specified title and issue reference.
✨ Standard library for JavaScript and Node.js. ✨
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stdlib is a comprehensive standard library for JavaScript and Node.js, addressing the lack of consistent, high-quality utility functions across different JavaScript environments. It provides a wide range of tools for mathematics, statistics, data manipulation, and more, improving developer productivity and code consistency.
AI Summary: The task requires addressing the naming conflict of the 'Dragon' programming language, which already exists. This involves either renaming the project or justifying the use of the same name, potentially highlighting unique features to differentiate it from the existing language.
A programming language built for programming language development.
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Dragon is a programming language designed specifically for creating other programming languages. It aims to simplify the process of language development by providing a robust and efficient framework for building compilers, interpreters, and other language tools.
AI Summary: The task involves addressing a single commit comment related to a bug fix in the stdlib JavaScript library. This requires reviewing the comment, applying the suggested fix to other relevant configurations within the project's manifest files, committing the changes, and creating a pull request.
✨ Standard library for JavaScript and Node.js. ✨
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stdlib is a comprehensive standard library for JavaScript and Node.js, addressing the lack of consistent, high-quality utility functions across different JavaScript environments. It provides a wide range of tools for mathematics, statistics, data manipulation, and more, improving developer productivity and code consistency.
AI Summary: Address five comments on a single commit related to a Planck distribution logCDF function. This involves making minor code and documentation changes (single-line declarations, removing empty lines, removing a function, correcting a random number generation call, and adjusting spacing around indices).
✨ Standard library for JavaScript and Node.js. ✨
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stdlib is a comprehensive standard library for JavaScript and Node.js, addressing the lack of consistent, high-quality utility functions across different JavaScript environments. It provides a wide range of tools for mathematics, statistics, data manipulation, and more, improving developer productivity and code consistency.
AI Summary: Design a database schema for a transactions table, including columns for id, title, amount, type, date, description, and timestamps. The schema will be used to track financial transactions related to the 'storeHouse' project, likely involving tithe contributions.
Bring the full tithe into the storehouse, that there may be food in my house. Test me in this, says the Lord of hosts, if I will not open for you the windows of heaven and pour you out a blessing, that there shall not be room enough to receive it.
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storeHouse is a project inspired by Malachi 3:10, focusing on tithing and resource management. It aims to help individuals and organizations track their contributions and manage resources effectively, potentially leading to improved resource allocation and abundance.
AI Summary: Develop a detailed transaction receipt view displaying transaction details (title, amount, type, date, description) and including a 'Share' or 'Export' functionality for users to save or send the receipt. This is part of a larger project focused on managing tithes and offerings.
Bring the full tithe into the storehouse, that there may be food in my house. Test me in this, says the Lord of hosts, if I will not open for you the windows of heaven and pour you out a blessing, that there shall not be room enough to receive it.
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storeHouse is a project inspired by Malachi 3:10, focusing on tithing and resource management. It aims to help individuals and organizations track their contributions and manage resources effectively, potentially leading to improved resource allocation and abundance.
AI Summary: Develop a screen displaying a list of transactions fetched from a backend API. Each transaction should show its title, amount, and date. Selecting a transaction should navigate to a receipt view (as defined in Issue #5).
Bring the full tithe into the storehouse, that there may be food in my house. Test me in this, says the Lord of hosts, if I will not open for you the windows of heaven and pour you out a blessing, that there shall not be room enough to receive it.
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storeHouse is a project inspired by Malachi 3:10, focusing on tithing and resource management. It aims to help individuals and organizations track their contributions and manage resources effectively, potentially leading to improved resource allocation and abundance.
AI Summary: Create a user interface form for adding financial transactions. The form should include fields for title, amount, type (income/expense), date, and an optional description. Input validation is required to ensure all necessary fields are completed.
Bring the full tithe into the storehouse, that there may be food in my house. Test me in this, says the Lord of hosts, if I will not open for you the windows of heaven and pour you out a blessing, that there shall not be room enough to receive it.
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storeHouse is a project inspired by Malachi 3:10, focusing on tithing and resource management. It aims to help individuals and organizations track their contributions and manage resources effectively, potentially leading to improved resource allocation and abundance.
AI Summary: Extend the browser extension to blur background images within table elements (<table>, <td>, etc.), currently not supported.
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The blur-extension project aims to address the lack of a simple, effective way to blur sensitive information on a screen. It likely provides a browser extension with key features such as customizable blur intensity and region selection, enabling users to quickly protect sensitive data displayed on their screen.
AI Summary: Improve text selection in Zulip's left sidebar and potentially other areas like message recipient headers. This involves making it easier to select and copy text from topics in the sidebar, addressing usability issues highlighted in a previous pull request.
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
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Zulip is an open-source team chat application designed to improve team productivity and focus. It offers threaded conversations, powerful search functionality, and integrations with various other services, enabling efficient communication and collaboration.
AI Summary: Optimize the Spherre website's performance and responsiveness. This involves implementing lazy loading for images, optimizing image formats and compression, fixing hero section background issues, ensuring responsiveness across various devices, and improving overall page load times. The task requires familiarity with web performance optimization techniques, responsive design principles, and potentially image optimization tools.
The Website of Spherre
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This project is the website for Spherre. It serves as an online presence for the company, providing information and potentially offering services or products. Further details about its specific features are unavailable without access to the website's content.
AI Summary: Rename the `package container` to `package docker` within the Librarian CLI project and refactor the `ContainerConfig` to `DockerConfig` to improve clarity and accurately reflect the code's interaction with Docker containers. This involves updating file names, variable names, and potentially method names to maintain consistency.
CLI for managing SDK client library configuration, generation and releases
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The `librarian` project is a command-line interface (CLI) tool designed to streamline the management of SDK client library configurations, generation, and releases. It simplifies the complex process of creating and maintaining SDKs by automating key tasks and providing a centralized management system.
AI Summary: The task involves labeling a dataset of LLM-generated prediction sentences with specific properties (<p_s>, <p_t>, <p_d>, <p_o>) using the BIOES tagging scheme. This requires identifying entities and timeframes within each sentence and assigning appropriate tags to indicate their beginning, inside, outside, or end positions. The goal is to create a tagged dataset for training a prediction analysis model.
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The 'predictions' project lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to determine the status of the K10 Pro keyboard's integration into the main QMK firmware repository. This involves researching the QMK project's issue tracker and potentially contacting maintainers to understand the timeline for inclusion, if any.
Open-source keyboard firmware for Atmel AVR and Arm USB families
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qmk_firmware is an open-source keyboard firmware that allows users to customize their keyboard layouts and functionality. It supports Atmel AVR and Arm USB microcontroller families, offering flexibility and extensive community support for building and configuring custom keyboards.
AI Summary: Implement a new React Native navigation boilerplate generator for the existing CLI tool. This involves creating a new generator file within the `src/boilerplates` directory, following the existing code style, and generating files for stack, tab, drawer, and authentication navigation structures. The generated files should include basic React Navigation setup and adhere to a clean, minimal code style.
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The `boilerplate-generator-cli` project addresses the repetitive task of setting up new projects by providing a command-line interface to generate boilerplate code. It streamlines project initialization, saving developers time and effort by automating the creation of common project structures and files.
AI Summary: The task involves recreating the original Xbox and Polish font textures for the enhanced Splinter Cell patch. This requires reconstructing the textures from existing in-game assets, matching the original .pcx format with purple borders and correct character spacing. The Polish font also needs additional characters added.
A major patch for the original Splinter Cell, fixing bugs and adding gameplay improvements.
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EnhancedSC is a significant patch for the original Tom Clancy's Splinter Cell, addressing numerous bugs and enhancing gameplay. It improves the overall experience by incorporating quality-of-life fixes and features requested by the community, resulting in a more polished and enjoyable game.
AI Summary: Implement a new feature in the existing Python password generator to optionally generate adjective-noun pairs that begin with the same letter (alliteration). This involves modifying the existing code to incorporate a new command-line argument and updating the word selection logic to filter for words starting with the same letter.
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The Random-Words project, lacking a provided description or README, is presumed to generate random words. Its key feature is likely the ability to produce a sequence of random words, potentially useful for tasks like testing or creative writing prompts. Further details are unavailable without additional project information.
AI Summary: The task requires either removing a placeholder image compression script (`scripts/compress-images.js`) from the Eternum project, implementing actual image compression functionality within the script, or renaming it to clearly indicate its placeholder status. This is to resolve developer confusion and remove dead code.
onchain eternal game
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Eternum is an on-chain game designed to provide a persistent and immutable gaming experience. It leverages blockchain technology to ensure the game's data and assets are permanently stored and cannot be altered, solving the problem of server-side control and potential data loss in traditional games.
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The `dotnet-template` project (lacking further description) likely aims to simplify the creation of new .NET projects by providing reusable templates. Its key features are currently unknown due to missing documentation.
AI Summary: Integrate OpenCV's `connectedComponentsWithStats()` function into the `react-native-fast-opencv` library to enable persistent homology-based plant phenotyping (specifically petal counting) within a React Native mobile data collection application. This involves forking the library, implementing the missing function using JSI and worklets for background processing, and integrating it into the existing application.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: This task involves updating the UltiMafia website's welcome page and game screens with a new site logo component, incorporating holiday-themed role icons, improving the game dialog, and adding music credits. It also requires aligning the demo game's UI with the new game message UI and considering whether to allow anonymous site access.
All contributors welcome! Successor to EpicMafia
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Ultimafia is a community-driven project aiming to improve upon the features and functionality of EpicMafia. It welcomes all contributors and seeks to provide a more enhanced and enjoyable mafia-style game experience.
AI Summary: Debug and fix a scrolling issue in the Android version of the Expensify app's troubleshoot panel. The issue prevents users from scrolling to the bottom of the panel to view all options. The bug is reproducible in both staging and production environments. The task involves investigating the codebase, identifying the root cause of the scrolling problem, and implementing a fix that ensures smooth scrolling functionality on all Android devices.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task is to modify the `contender admin accounts` command to display both the addresses and private keys of generated accounts. This involves updating the command's logic to retrieve and format the private keys alongside the addresses, and potentially enhancing output formatting for improved readability.
run highly configurable benchmarks for EVM-based execution nodes over JSON-RPC
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Contender is a benchmarking tool for EVM-based execution nodes, utilizing JSON-RPC for communication. It addresses the need for highly configurable and repeatable performance testing, enabling developers to analyze and optimize node efficiency.
AI Summary: Initialize a new Node.js project using `npm init` to create the necessary package.json file for the JavaScript Local Storage wrapper library. This sets up the project's metadata and allows for package management.
Simple wrapper for JavaScript Local Storage API.
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js-local-storage simplifies interaction with the browser's Local Storage API, providing a cleaner and more manageable way to store and retrieve data. It offers a straightforward interface, abstracting away the complexities of the native API, making it easier to manage persistent data in web applications.
AI Summary: Add the 'react-scan' library to the Pujo Atlas project. This likely involves installing the library using npm or yarn, and then integrating it into the existing React codebase. The provided link offers documentation for implementation.
The most advanced pandal hopping experience*
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PujoAtlasKol-Web is a web application designed to enhance the Durga Puja pandal hopping experience in Kolkata. It aims to solve the problem of finding and navigating to pandals efficiently, providing users with a comprehensive map, detailed pandal information, and potentially other features like reviews and ratings.
AI Summary: Improve the readability of role ordering in multi-setups within the UltiMafia online mafia game by modifying the sorting algorithm. The current alignment>alphabetical order should be changed to alignment>number of appearances>alphabetical order to group similar roles together for easier scanning. Non-multi-setups should remain unaffected.
All contributors welcome! Successor to EpicMafia
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Ultimafia is a community-driven project aiming to improve upon the features and functionality of EpicMafia. It welcomes all contributors and seeks to provide a more enhanced and enjoyable mafia-style game experience.
AI Summary: Remove the link to the unmaintained Mastodon account from the Node.js website footer. This involves updating the website's source code (likely a simple text change) and then deploying the updated code.
The Node.js® Website
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The nodejs.org website serves as the central hub for information and resources related to Node.js, a popular JavaScript runtime environment. It provides documentation, tutorials, and community support to help developers build and deploy scalable network applications.
AI Summary: Debug and fix a bug in the Expensify app where submitting a per diem expense from an empty report preview in a workspace chat unexpectedly opens the expense report instead of remaining in the chat. The bug is reproducible on all platforms (Android, iOS, web, desktop). The fix requires familiarity with React Native, the Expensify codebase, and debugging techniques across multiple platforms.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Create a navigation bar for the NIU ACM website using Next.js, including links to the home page, about page, calendar page, SIGmainframe page, SIGwebdev page, and resources page. The navbar should also include the ACM and NIU logo, which should link to the home page.
The NIU ACM Website, Statically Built with Next.js and Bun
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The niu-acm-website project creates a statically-generated website for the NIU ACM chapter using Next.js and Bun, improving website performance and maintainability. Key features include a modern design and streamlined content management, enhancing the user experience and providing a better online presence for the organization.
AI Summary: Debug and fix a bug in the onnx-ir Python library where initializing a Tensor with a NumPy-compatible scalar and an explicit dtype results in an incorrect dtype being returned by the numpy() method. The potential fix involves modifying the __array__ method to use the dtype of the internal _raw attribute.
Efficient in-memory representation for ONNX, in Python
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ir-py provides an efficient in-memory representation of ONNX models in Python. This solves the problem of slow or memory-intensive ONNX model loading and manipulation, enabling faster prototyping and experimentation with ONNX-based deep learning models.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
AI Summary: Develop a CRUD (Create, Read, Update, Delete) RESTful API endpoint for managing 'tuiles' (tiles). The endpoint must support pagination for GET requests (15 tiles per page), input validation for POST requests, user authorization for PUT and DELETE requests (users can only modify their own tiles, except for admins who have full access), and confirmation for DELETE requests.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
AI Summary: Refactor the AJAX helper methods currently located in assets/js/ajax.js. The task involves potentially splitting the methods into multiple files for better organization depending on the number of methods.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
AI Summary: Create the basic HTML structure for the frontend pages: index.php, feed.php, explore.php, connexion.php, inscription.php, and profile.php. No styling is required at this stage; focus solely on the basic HTML layout and page structure.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
AI Summary: Set up the database using the provided `init.sql` script. This involves executing the SQL commands within the script to create the necessary tables and schema for the Projet1_3225 project.
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Insufficient information is provided to summarize Projet1_3225. The description and README are missing, preventing a clear understanding of its purpose, problem solved, or key features.
AI Summary: Implement a `--show-cmd` flag in the PieTea CLI tool. This flag should display the generated `httpie` command before execution, formatted as a single string and presented in a visually distinct section (e.g., rounded border) above the main response output. The generated command should mirror the output of the `request.ToArgs` function.
Use httpie via YAML!
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PieTea simplifies using the HTTPie command-line HTTP client by allowing users to define requests in YAML configuration files. This eliminates the need to repeatedly type complex HTTP commands, improving efficiency and reducing errors.
Use httpie via YAML!
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PieTea simplifies using the HTTPie command-line HTTP client by allowing users to define requests in YAML configuration files. This eliminates the need to repeatedly type complex HTTP commands, improving efficiency and reducing errors.
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
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Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: Implement a new Serena tool, `rename_symbol`, that allows renaming a code symbol and updating all references to it. This involves finding all referencing lines using an existing tool (`find_referencing_lines`), then performing a regex-based replacement to update the symbol's name. The implementation should handle potential pitfalls like edge cases in regex replacement and ensure the tool integrates seamlessly with Serena's existing framework.
a powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
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Serena is a coding agent toolkit addressing the challenges of code understanding and manipulation. It leverages semantic retrieval and editing capabilities, integrating with MCP server and Agno for enhanced functionality and efficiency.
AI Summary: The task involves implementing MetaMask integration to detect the current blockchain network and handle network changes. The provided code snippet already includes functions to get the current chain ID and listen for network changes, triggering a page reload upon a network switch. The task likely involves integrating this code into the 'Ethereal' project and potentially handling any errors or edge cases that may arise.
Ethereal
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The project, Enochkai-enochgames.business, lacks sufficient information for a comprehensive summary. The provided description and README are insufficient to determine its purpose or key features. Further details are needed to understand its functionality and problem-solving capabilities.
AI Summary: This task involves improving an R package by removing unnecessary files, updating the DESCRIPTION file with metadata (including ORCID and version number), and renaming functions for better clarity. It also requires minor code adjustments to remove extra spaces in the output of one function.
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The Hogwarts project, lacking a description, is presumed to be a project with undefined functionality. Without further information, its problem-solving capabilities and key features remain unknown.
AI Summary: Address and resolve all warnings and errors flagged by the Rust `clippy` linter within the FerrisKey API codebase. This involves code refactoring to improve code style, efficiency, and correctness.
FerrisKey is an open-source IAM solution designed for modern cloud-native environments. With its high-performance API written in Rust and its intuitive web interface developed in Typescript/React, FerrisKey offerrs a robust and flexible alternative to tradtional IAM solutions.
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FerrisKey is an open-source Identity and Access Management (IAM) solution built for cloud-native architectures. It addresses the limitations of traditional IAM systems by providing a high-performance Rust-based API and a user-friendly Typescript/React web interface for efficient and flexible access control.
AI Summary: The task is to fix a bug in the ShulkerBoxTooltip Minecraft mod where overlapping tooltips appear in the creative inventory when a preview tooltip is locked. The solution needs to prevent the creative tab tooltip from rendering while a locked preview tooltip is open, ideally without hardcoding a solution that might conflict with other mods' tooltips.
What's in my shulker box?
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ShulkerBoxTooltip solves the problem of identifying the contents of Shulker Boxes in Minecraft without opening them. Its key feature is displaying a tooltip showing the items and their quantities when hovering over a Shulker Box in-game, improving inventory management.
AI Summary: The task requires researching material compositions and their radiation effects to design a radiation-resistant suit. This involves building a database of biological data (radiation effects on the human body) and material properties to optimize suit design for minimizing biodamage from radiation exposure.
Space Labs AI presents: A radiation-tolerant machine learning framework enabling neural networks to operate reliably in space environments. Features adaptive protection, Reed-Solomon error correction, and breakthrough architecture optimizations that improve performance under radiation.
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The Space-Radiation-Tolerant project addresses the challenge of neural network reliability in harsh space environments by developing a radiation-hardened machine learning framework. Key features include adaptive protection mechanisms, Reed-Solomon error correction, and architectural optimizations to maintain performance despite radiation-induced errors.
AI Summary: Add a new 'tags' array column to the Neondb database and implement the display of these tags on the existing cards within a Next.js application. The tags should be visually represented as shown in the provided image.
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The project 'bytesized-papers' aims to address the problem of accessing and understanding complex research papers by providing concise summaries. Key features are likely to include automated summarization and potentially other tools to aid comprehension, though specifics are unavailable without further project details.
AI Summary: Implement a new 'Trajectory Accuracy' evaluation metric for Opik, an open-source LLM evaluation platform. This metric should assess the accuracy of action sequences in ReAct-style agents, ideally using an LLM-as-a-judge approach. The implementation should include additions to the frontend UI (Online Evaluation tab), Python SDK, and documentation, along with a demonstration video.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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Opik solves the challenge of debugging and monitoring complex LLM applications, RAG systems, and agentic workflows. It provides comprehensive tracing, automated evaluations, and production-ready dashboards for improved understanding and performance optimization.
AI Summary: Debug a GNU Make crash occurring on Android within a custom-built Android NDK utilizing musl and Cosmopolitan libc. The crash is not consistently reproducible and requires investigation using the provided LLDB log to identify the root cause.
Android NDK with custom LLVM built using musl and Cosmopolitan libc, supporting multiple architectures and platforms.
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The android-ndk-custom project addresses the limitations of standard Android NDKs by offering a custom build incorporating musl and Cosmopolitan libc. This enables support for multiple architectures and platforms, providing greater flexibility and portability for Android native development.
AI Summary: Fix a bug in the `@webext-core/fake-browser` package where newly created tabs using `fakeBrowser.tabs.create` are not added to the internal `tabList`, preventing them from being found by `fakeBrowser.tabs.query`. The solution involves modifying the `tabs.ts` file to correctly add the newly created tab to the `tabList` array.
Collection of essential libraries and tools for building web extensions
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webext-core is a collection of reusable libraries and tools designed to simplify the development of web extensions. It addresses the common challenges of building extensions by providing essential functionalities and reducing boilerplate code, ultimately accelerating the development process.
AI Summary: Implement two new MCP tools for the Redmine server: `list_project_trackers` and `list_project_statuses`. These tools will retrieve and return lists of available trackers and statuses (with IDs and names) for a given Redmine project, improving usability and testability of issue creation/update tools by eliminating the need for manual UI checks to obtain necessary IDs.
MCP server for Redmine
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The mcp-server-redmine project provides a server-side component for integrating with Redmine, likely addressing the need for enhanced functionality or data integration beyond Redmine's built-in capabilities. It's designed to act as a central server for managing and processing data related to Redmine projects.
AI Summary: Implement an export feature for the 'Amplification Factor' dashboard within a Python-based Mango Tree analyzer CLI application. This involves adding an export button to the UI, modifying the backend to generate the necessary dataset, and ensuring the `/api/presenters/<id>/download/<file_type>` endpoint correctly handles the new data. The work should be done on the `issue-76-copy-pasta-dashboard` branch.
An interactive python terminal UI wrapper for mango tree analyzers
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mango-tango-cli provides a user-friendly interactive command-line interface for analyzing mango trees using Python. It simplifies the interaction with underlying mango tree analyzers, making complex analysis tasks more accessible.
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Prompt-Forge is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Update the OpenTelemetry Helm charts to leverage the native Service attribute handling within the `k8sattributes` processor, eliminating the need for manual extraction from labels in the configuration template. This involves modifying the `_config.tpl` file to utilize the new native functionality.
OpenTelemetry Helm Charts
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The opentelemetry-helm-charts project provides pre-built Helm charts for deploying OpenTelemetry components, simplifying the process of instrumenting and monitoring applications. This solves the challenge of manually configuring and managing OpenTelemetry infrastructure, offering a streamlined and consistent deployment experience.
AI Summary: Add a new, user-definable 'extra' field to the torrent data model within the Arcadia torrent site and tracker framework. This field will allow users to add additional metadata to torrents, such as specifying different versions (e.g., a 'dramatic reading' version of an audiobook). The implementation should involve modifying the backend (Rust) and frontend (Typescript/VueJS) to handle this new field's storage, display, and user input.
Content-agnostic torrent site & tracker framework
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Arcadia is a framework for building content-agnostic torrent sites and trackers, solving the problem of needing separate infrastructure for different types of torrent content. Its key feature is its flexibility and adaptability to various content types without requiring significant code changes.
AI Summary: Implement reusable functions within a Fastify/Typescript API service to fetch the 24-hour price change of any given token from CoinGecko's API.
API service to get token updates
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The 'radar' project is an API service designed to provide real-time token updates. It solves the problem of needing a reliable and efficient method to track token changes, offering a streamlined interface for accessing this crucial information.
AI Summary: Fix a tooltip cutoff issue in a WebGL scatterplot chart within a Python terminal UI application. The tooltip is cut off when zooming in, requiring adjustment of z-index or repositioning to ensure it remains visible within the viewport.
An interactive python terminal UI wrapper for mango tree analyzers
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mango-tango-cli provides a user-friendly interactive command-line interface for analyzing mango trees using Python. It simplifies the interaction with underlying mango tree analyzers, making complex analysis tasks more accessible.
AI Summary: Fix a critical security vulnerability in a banking system's financial module. The system currently accepts absurdly large negative transaction amounts without error, allowing potential financial attacks. The task requires implementing input validation to restrict transaction amounts to a valid range (0.01 to Balance - Reserve), adding CAPTCHA for suspicious operations, and logging all attempts to input negative sums.
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BankTests is a project whose purpose is currently undefined due to missing project description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Debug and fix a bug in a WebGL-based scatter plot chart where axes ticks do not scale or reposition correctly when the user pans, especially when panning horizontally or vertically. The issue appears to stem from a synchronization problem between the WebGL viewport and the axes coordinate systems.
An interactive python terminal UI wrapper for mango tree analyzers
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mango-tango-cli provides a user-friendly interactive command-line interface for analyzing mango trees using Python. It simplifies the interaction with underlying mango tree analyzers, making complex analysis tasks more accessible.
AI Summary: The task is to create an SVG icon for the brand "note" (note.com) based on provided artwork and color information. This involves incorporating the provided SVG into the Simple Icons project, adhering to their style guidelines and contributing the icon through a GitHub pull request.
SVG icons for popular brands
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simple-icons provides a collection of readily available SVG icons for popular brands, solving the problem of finding and implementing consistent, high-quality brand logos in web projects. Its key feature is the provision of simple, easily integrated SVG files for a wide range of brands.
StrideSync is a running tracker designed for **both solo runners and groups** who want to track their progress, encourage one another, or engage in friendly competition.
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StrideSync is a running tracker app addressing the need for both individual and group progress tracking. Key features include individual performance metrics and group functionalities such as encouragement and friendly competition.
AI Summary: The task is to address a user's inquiry regarding the inclusion of Topcoder problems in the USACO Guide's Gold - Knapsack DP module. The user suggests removing Topcoder problems if there's no mechanism for submission, implying a potential inaccuracy or outdated link within the guide.
A free collection of curated, high-quality resources to take you from Bronze to Platinum and beyond.
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The usaco-guide project provides a free, curated collection of high-quality resources to help aspiring competitive programmers improve their skills in the USA Computing Olympiad (USACO). It aims to bridge the skill gap from Bronze to Platinum levels and beyond, offering a structured path to success.
AI Summary: Refactor the close button in the equipment panel into a reusable standalone component called `button-panel-close`. This involves extracting the existing button HTML and associated click handler into a new component, reducing code duplication and improving maintainability.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: The task is to add Pyrefly's configuration schema (for `pyproject.toml` and `pyrefly.toml`) to Schemastore, a repository of configuration file schemas used for validation and editor support. This involves creating a JSON schema file defining the structure and data types of Pyrefly's configuration options and submitting it to Schemastore.
A fast type checker and IDE for Python
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pyrefly is a high-performance type checker and IDE for Python, addressing the need for faster feedback and improved code quality during development. Its key features include rapid type checking and integrated IDE functionalities to enhance the developer experience.
AI Summary: The task is to fix a bug in the Microsoft Graph Java SDK's `LargeFileUploadTask` class. The bug causes incomplete file uploads due to an assumption that `InputStream.read(byte[])` always fills the buffer completely. The solution involves modifying the `LargeFileUploadTask` method to use a loop that ensures the entire buffer is read before proceeding, handling cases where fewer bytes than requested are read in a single call.
Microsoft Graph SDK for Java - Core Library
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The msgraph-sdk-java-core project provides a Java library for interacting with the Microsoft Graph API. It simplifies access to Microsoft Graph data and functionalities, enabling developers to easily integrate Microsoft services into their Java applications. Key features include streamlined authentication and handling of various Graph API endpoints.
AI Summary: Completely rewrite the LUA documentation for the Total Control game mod manager. The current documentation is outdated due to significant additions, removals, and new concepts like capabilities and functionality. The rewrite should comprehensively cover all aspects of the updated LUA API.
A game mod manager that doesn't suck
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total-control is a game mod manager designed to provide a superior user experience compared to existing solutions. It aims to simplify the process of installing, managing, and updating game mods, offering a streamlined and intuitive interface.
AI Summary: Create a custom CSS stylesheet for dazn.com following the project's guidelines. The stylesheet should prioritize transparency, minimize distractions, and account for both light and dark modes (or Dark Reader). The file should be named `dazn.com.css` and adhere to the specified commenting and formatting conventions, including the use of `!important` for all properties and a leading `transparency` feature.
Custom CSS to make the web transparent, beautiful and zen. Main style repo for the Zen Internet add-on
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my-internet is a custom CSS project enhancing the visual experience of the internet by providing a transparent, beautiful, and zen aesthetic. It serves as the main style repository for a Zen Internet add-on, improving the overall user interface.
AI Summary: Modify the Pyrefly type checker to relativize file paths in error messages, optionally allowing users to display full paths via a flag. This involves finding or using a Rust library for path manipulation and updating the `write_errors_to_console()` function.
A fast type checker and IDE for Python
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pyrefly is a high-performance type checker and IDE for Python, addressing the need for faster feedback and improved code quality during development. Its key features include rapid type checking and integrated IDE functionalities to enhance the developer experience.
AI Summary: Extend the LangChain.js Groq integration (@langchain/groq) to support multimodal inputs, specifically images, enabling the processing of messages containing both text and image content. This requires modifying the `convertMessagesToGroqParams` function to handle non-string message content, likely by adding a check for image data and adapting the Groq query accordingly.
🦜🔗 Build context-aware reasoning applications 🦜🔗
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Langchainjs simplifies the development of context-aware applications by providing tools and building blocks for creating chains of language models. It addresses the challenge of managing complex interactions with LLMs, enabling developers to build more sophisticated and robust AI applications.
AI Summary: Create a custom CSS stylesheet for bugs.mojang.com following the project's contribution guidelines. The stylesheet should enhance the website's appearance, prioritizing transparency and minimizing distractions, and should be compatible with both light and dark modes. The stylesheet must adhere to the specified naming conventions and commenting style, including the use of `!important` for all properties and unique domain-specific prefixes for comments.
Custom CSS to make the web transparent, beautiful and zen. Main style repo for the Zen Internet add-on
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my-internet is a custom CSS project enhancing the visual experience of the internet by providing a transparent, beautiful, and zen aesthetic. It serves as the main style repository for a Zen Internet add-on, improving the overall user interface.
AI Summary: Implement a loading indicator (spinner) while renaming library components in the Open edX Studio frontend (React/Paragon). This improves user experience by providing feedback during the asynchronous save operation, preventing accidental duplicate edits.
Front-end for the Open edX Studio experience, implemented in React and Paragon.
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The `frontend-app-authoring` project provides a React and Paragon-based front-end for the Open edX Studio, improving the authoring experience for creating online courses. It offers a modern and efficient interface for course content creation and management, streamlining the workflow for educators.
AI Summary: Refactor the CI/CD workflow for the vLLM Production Stack project to improve efficiency and clarity. This involves consolidating redundant jobs, eliminating duplicated steps, using a fake OpenAI server for local backend testing, and reorganizing project files for better modularity. The goal is to reduce CI runtime, improve developer understanding, and facilitate future expansion.
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
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The `production-stack` project provides a Kubernetes-native deployment solution for vLLM, addressing the challenge of efficiently deploying large language models at scale. It leverages community contributions to optimize performance and offers a robust, production-ready infrastructure.
AI Summary: The task is to debug a bug in the Ruff linter where the fix for rule PLC1802 (related to using `len()` in conditional statements) introduces syntax errors in certain cases. The solution likely involves adding padding to the code generated by the fix to prevent syntax errors when `len()` is directly adjacent to `if`. This requires understanding the Ruff codebase and potentially modifying its code generation for the PLC1802 rule.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: The task is to investigate why Ruff's fix for the PLC1802 rule (related to using `len()` in a conditional without comparison) deletes comments in certain situations. The solution should either prevent the fix from applying when comments are present, make the fix safe for comments (preserving them), or modify the fix to move the comments to a suitable location.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: Add a toggle option to the Checkmate status page settings to optionally hide the "Administrator? Login Here" link. This involves modifying the frontend code (React) to include a new setting and conditionally render the link based on this setting's value.
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations. Don't be shy, join here: https://discord.com/invite/NAb6H3UTjK :)
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Checkmate is a self-hosted, open-source monitoring tool that provides real-time tracking and visualization of server hardware health, uptime, response times, and incidents. It helps users proactively identify and address potential issues with their servers through intuitive dashboards and alerts.
AI Summary: Optimize the Executor::Trace function to improve performance when handling complex geometry. This involves refactoring the code to use multiple command buffers instead of a single one, and synchronizing them using Vulkan semaphores or fences to eliminate performance bottlenecks caused by excessive memory barriers.
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PhotonFlux is a project whose purpose and features are undefined due to missing project description and README. Therefore, no problem it solves or key features can be summarized.
AI Summary: Implement a custom app theme for the school intranet Flutter application. The current dark theme needs to be replaced with a new, custom theme.
The intranet of schools flutter app
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ins is a Flutter-based intranet application designed to streamline communication and information sharing within schools. It solves the problem of fragmented information by providing a centralized platform for announcements, resources, and communication tools, improving efficiency and accessibility for students, teachers, and staff.
AI Summary: Implement a footer that appears on all pages of the navbar in a Svelte + Vite project. The project uses a simple setup, not SvelteKit.
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The project 'introduccion-fundamentos' lacks a description and README, making its purpose unclear. Without further information, it's impossible to determine the problem it solves or its key features.
AI Summary: Investigate why a Laravel Octane application deployed with Docker and FrankenPHP on Kubernetes doesn't gracefully shut down during deployments, despite a sufficient termination grace period. The issue involves long-running requests that are prematurely terminated before completion, resulting in 502 errors. The task requires analyzing the provided logs, Docker configuration, Kubernetes settings, and Caddy's grace period handling to identify the root cause and propose a solution for ensuring zero-downtime deployments.
Production-ready Docker setup for Laravel Octane (FrankenPHP, Swoole, RoadRunner) powered web services and microservices. Done right.
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This project provides a production-ready Docker environment for deploying Laravel applications using Octane (FrankenPHP, Swoole, or RoadRunner). It simplifies the complex process of setting up high-performance, scalable web services and microservices based on Laravel Octane.
AI Summary: Implement a new feature in the Code Web Chat extension that allows users to create presets for chatbots which optionally exclude sending context files. This would involve modifying the preset creation/selection mechanism to include a flag or setting to control context inclusion, and potentially updating the API calls to handle this new option. The goal is to support multi-agent workflows where some agents, like formatters, don't require code context.
Initialize popular chatbots and apply responses with a single click.
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CodeWebChat streamlines chatbot integration by allowing users to initialize and interact with popular chatbots with a single click. This simplifies the process of accessing and utilizing various chatbot APIs, saving developers time and effort.
AI Summary: Debug and fix a System.IndexOutOfRangeException occurring when fetching entities with primitive collections from a FileBaseContext database using Table-per-Hierarchy (TPH) inheritance. The issue arises during deserialization of a JSON-serialized List<string> property within a derived entity class. The solution likely involves correcting the JSON deserialization process within the Entity Framework Core model configuration to handle the specific structure of the JSON data stored in the file-based database.
FileBaseContext is a provider of Entity Framework 7 & 8 & 9 to store database information in files.
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FileBaseContext solves the problem of needing a database without a traditional database server by providing Entity Framework 7, 8, and 9 support for storing data in files. This allows developers to easily persist data using familiar EF Core patterns without the overhead of a database server.
AI Summary: The task involves debugging a bug in the Expensify app where entering a merchant name removes the red box around the receipt placeholder when creating an expense. The bug is reproducible on Android mWeb Chrome, Windows Chrome, and potentially other platforms. The solution requires investigating the code related to expense creation and receipt input, identifying the cause of the unexpected behavior, and implementing a fix that ensures the red box remains until a receipt is uploaded.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
A constraint based fuzz testing tool in Python
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This Python project, 'fuzzing', is a constraint-based fuzz testing tool designed to identify vulnerabilities in software by intelligently generating and testing inputs. Its key feature is the use of constraints to guide the fuzzing process, leading to more effective and targeted testing compared to traditional random fuzzing.
AI Summary: Implement an auto-fix feature for the PyWard linter to automatically remove unused variables from Python code when the `--fix` flag is used. The implementation must handle various assignment scenarios, including simple assignments, multiple assignments, unpacking, and function arguments, while ensuring that no valid code is broken. Thorough unit testing is required to verify the correctness of the auto-fix functionality.
A lightweight command-line linter for Python code.
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PyWard is a lightweight command-line tool that helps improve Python code quality by linting it for common style and potential errors. Its focus is on ease of use and speed, making it ideal for quick checks and integration into existing workflows.
AI Summary: Add support for NetCDF files to the F3D 3D viewer by integrating a NetCDF reader (likely using vtkNETCDFReader) into the existing HDF plugin. This involves adding configuration file entries, updating MIME type handling, managing VTK module dependencies, creating comprehensive tests, updating documentation, and incorporating the changes into the F3D-Superbuild.
Fast and minimalist 3D viewer.
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f3d is a fast, minimalist 3D viewer supporting various file formats (glTF, USD, STL, etc.), animations, and rendering options including ray tracing. It offers command-line control, configuration files, and a lightweight C++17 library (libf3d) with Python bindings for easy integration.
AI Summary: Debug and fix a bug where the 'Export to Sage Intacct' button remains visible in the New Expensify web and desktop apps after a report is exported. The bug needs reproduction in staging and production environments, and the fix should be tested across Chrome and Safari on Windows and MacOS. Relevant logs and potentially screenshots are available.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Fix a bug in the Expensify chat report view where the workspace avatar briefly appears with every new report added. The bug is reproducible on Android, mWeb Chrome, and Windows Chrome. The task involves investigating the codebase (React Native), identifying the cause of the flickering avatar, and implementing a fix that ensures the avatar only appears above the first report.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task is to debug and fix a templating issue within Apache Airflow's ObjectStoragePath class. The templating engine is incorrectly rendering URIs when using variables defined in Airflow's variable system. The solution involves identifying the root cause of the incorrect rendering within the ObjectStoragePath class and modifying the code to correctly handle templated parameters, ensuring that URIs are constructed as expected.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring data workflows. It allows defining workflows as code, improving maintainability, versioning, testability, and collaboration, and features a user interface for visualizing and monitoring pipelines.
AI Summary: Add a configuration option to the Orval code generator to allow specifying a seed for the Faker.js library used in mock data generation. This will reduce unnecessary diff noise in pull requests by ensuring consistent mock data across runs.
orval is able to generate client with appropriate type-signatures (TypeScript) from any valid OpenAPI v3 or Swagger v2 specification, either in yaml or json formats. 🍺
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Orval generates strongly-typed TypeScript clients from OpenAPI v3 or Swagger v2 specifications (YAML or JSON). This solves the problem of manually writing API clients, improving developer productivity and reducing errors.
AI Summary: Document the functions within the LilithPort codebase to improve understanding and collaboration for potential contributors. This involves adding clear and concise comments explaining the purpose and functionality of each function.
A regularly updated version of the LilithPort FM95/FM2K netplay client. Made for Windows XP+.
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LilithPort is an updated netplay client for the FM95/FM2K fighting games, solving the problem of outdated and unsupported clients. It offers improved compatibility and regular updates for Windows XP and later operating systems, ensuring a smoother online gaming experience.
AI Summary: The task involves fixing a UI issue in the Expensify app's 'Add Expense' flow. The back navigation lacks top padding on Android and mWeb Chrome, causing inconsistency with other platforms. The solution requires adding the necessary padding to ensure consistent UI across all platforms. The project uses React Native and Onyx for data management.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task is to analyze a Sucrose wallpaper engine project description and a user-reported issue ('app is not working'). The goal is to understand the project's functionality, identify the nature of the reported bug based on the provided template, and summarize the requirements for troubleshooting the issue. This involves examining the project's features, supported platforms, and the information needed to debug the reported malfunction.
Sucrose is a versatile wallpaper engine that brings life to your desktop with a wide range of interactive wallpapers.
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Sucrose is a wallpaper engine that solves the problem of static desktop backgrounds by offering a diverse collection of interactive wallpapers. Key features include a wide range of customizable options and dynamic visuals to enhance the user's desktop experience.
AI Summary: Implement basic arithmetic operations (add, subtract, multiply, divide) in a C# Calculator application, including robust exception handling for division by zero, and create comprehensive unit tests (using xUnit and Shouldly) to achieve at least 90% test coverage. The task includes adding XML documentation comments and adhering to C# coding conventions.
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The project, all-of-github-copilot, aims to address the lack of a comprehensive, unified interface for accessing and managing all GitHub Copilot features. It likely provides a single point of access and potentially enhanced functionality or improved user experience compared to using individual Copilot components separately.
AI Summary: Create a favicon for a website by converting an existing logo using a tool like favicon.io and then adding the generated favicon to the website's code.
A collection of tech terms and their definitions
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The techterms project provides a readily accessible collection of technology terms and their definitions, solving the problem of quickly understanding unfamiliar tech jargon. Its key feature is a simple, easily searchable database of definitions, making it a valuable resource for anyone learning about technology.
AI Summary: Implement a Node.js function that updates the project's README.md file after changes to the tasks.json file. The function should generate task status icons and a progress table based on the data in tasks.json, providing a visual representation of project progress directly in the README. This requires reading and parsing tasks.json, generating markdown content, and writing the updated content to README.md. Error handling and consideration for potential race conditions should be included.
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
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claude-task-master is an AI-powered task management system designed for seamless integration with various productivity apps like Cursor, Lovable, Windsurf, and Roo. It solves the problem of fragmented task management by providing a unified, AI-enhanced experience across different platforms.
AI Summary: Implement a lossy currency conversion system in the Glowrift Duskhall project. The current system allows for exact trades; the updated system should add a 50% surcharge to all currency exchanges, effectively halving the output amount received.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Develop a Comet Opik integration to import datasets from Hugging Face Datasets. This involves creating a Python SDK function and a Jupyter Notebook example (cookbook) demonstrating the import and upload of a Hugging Face dataset to Comet Opik's dataset management system. The solution should handle dataset conversion and authentication as needed.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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Opik solves the challenge of debugging and monitoring complex LLM applications, RAG systems, and agentic workflows. It provides comprehensive tracing, automated evaluations, and production-ready dashboards for improved understanding and performance optimization.
AI Summary: Add a command-line argument (`--version` or similar) to the PyWard CLI that prints the current version number and then exits the program. This requires modifying the argument parsing and adding version information retrieval.
A lightweight command-line linter for Python code.
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PyWard is a lightweight command-line tool that helps improve Python code quality by linting it for common style and potential errors. Its focus is on ease of use and speed, making it ideal for quick checks and integration into existing workflows.
AI Summary: Create a new plugin pack for the oxlint JavaScript/TypeScript linter within the AstroNvim community repository, following the existing structure and style of other packs like Biome. This involves creating the necessary Lua configuration files to integrate oxlint into AstroNvim and adding it to the community repository.
A community repository of common plugin specifications
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astrocommunity is a repository designed to address the lack of standardized plugin specifications for Astro projects. It provides a central location for developers to share and discover common plugin specifications, improving interoperability and reducing development time.
AI Summary: The task requires automating the upload of a release APK (with a different package name than the debug build) to a publicly accessible location after successful completion of the Android test pipeline. This allows for easy testing of pull requests without manual intervention.
An Android app that uses your phone's sensors to assist with wilderness treks or survival situations.
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Trail-Sense is an Android app designed to aid wilderness navigation and survival by leveraging your phone's sensors. It provides assistance in challenging situations by offering features such as location tracking, compass functionality, and potentially other sensor-based tools to enhance safety and awareness during outdoor adventures.
AI Summary: The task requires creating a pulldown-cmark extension crate to handle Nixpkgs-flavored CommonMark extensions, replacing the current regex-based approach in the NDG (Not a Docs Generator) project. This involves extracting the specification for these extensions and implementing them within a new crate, improving robustness and maintainability.
NDG: Not a Docs Generator
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NDG (Not a Docs Generator) is a project whose purpose is not to generate documentation, the exact nature of its functionality is undefined based on the provided information. Further details are needed to provide a more complete summary.
AI Summary: The task is to address a user's suggestion regarding the order of problems in the "Silver - More on Prefix Sums" section of the USACO Guide. The user suggests rearranging problems to ensure that prerequisite concepts (like difference arrays) are covered before problems requiring them are presented.
A free collection of curated, high-quality resources to take you from Bronze to Platinum and beyond.
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The usaco-guide project provides a free, curated collection of high-quality resources to help aspiring competitive programmers improve their skills in the USA Computing Olympiad (USACO). It aims to bridge the skill gap from Bronze to Platinum levels and beyond, offering a structured path to success.
AI Summary: The task is to debug and fix a bug in the VoltAgent framework where the UserContext object is not included in the response of the `.generateText` method. This requires examining the VoltAgent codebase, identifying where the UserContext is lost during processing, and modifying the code to include it in the final response object.
Open Source TypeScript AI Agent Framework
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Voltagent is an open-source TypeScript framework for building AI agents. It simplifies the development of complex AI agents by providing a structured architecture and reusable components, addressing the challenges of managing and orchestrating diverse AI models and functionalities.
AI Summary: Investigate why the Pydantic `SkipValidation` annotation isn't suppressing a warning when used with a Protobuf Enum type. The task involves reproducing the issue, understanding the warning's origin within Pydantic's schema generation, and determining if the `SkipValidation` implementation correctly handles Protobuf Enum types or if there's a bug or unexpected behavior.
Data validation using Python type hints
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Pydantic solves the problem of data validation in Python by leveraging type hints. Its key features include automatic data parsing and validation, ensuring data integrity and reducing runtime errors.
AI Summary: Correct a typo in the `pyproject.toml` file of the `charset-normalizer` project. The typo is in the `scripts` section, where the path to the CLI script is incorrectly specified. The correct path needs to be substituted.
Truly universal encoding detector in pure Python
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Charset-normalizer is a Python library that accurately detects the encoding of text files, even those with mixed or corrupted encodings. It solves the problem of unreliable encoding detection by offering a robust and comprehensive solution, handling a wide range of character sets and encoding variations.
AI Summary: This task involves addressing three follow-up items related to a previous pull request that added type/status filters to a Report History Page (RHP). The issues are: incorrect button spacing, lack of a reset button after filter changes, and the need to reset other filters when the type filter is changed. This requires familiarity with React Native, the Expensify codebase, and potentially UI testing frameworks.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
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The project 'test' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features.
AI Summary: Update the base image used in the Kubernetes AI Toolchain Operator (KAITO) project from the soon-to-be end-of-life mariner/azure linux 2 to a supported, non-EOL alternative. This involves identifying a suitable replacement image (potentially a newer Mariner version or a different distroless image), modifying the relevant Dockerfiles and Kubernetes manifests to use the new image, and thoroughly testing the updated operator to ensure functionality and compatibility.
Kubernetes AI Toolchain Operator
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Kaito is a Kubernetes operator that simplifies the deployment and management of AI toolchains. It streamlines the complex process of setting up and maintaining the various components needed for AI workflows, improving efficiency and reducing operational overhead.
AI Summary: Reorder the configuration loading in DontPanicLabs.Ifx.Configuration.Local to prioritize environment variables over local `appsettings.json`. This involves moving a single line of code in `Config.cs` to ensure cloud environment variables take precedence over local settings during development.
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DontPanicLabs.Ifx is a project whose purpose and features are undefined due to missing project description and README. Therefore, no problem it solves or key features can be summarized.
AI Summary: Implement a feature in the Obsidian Sticky Notes plugin to prevent sticky note windows from appearing in the taskbar. This involves investigating the technical feasibility of hiding the windows from the taskbar, potentially requiring modifications to how the plugin interacts with the operating system's window management.
Obsidian Sticky Notes Plugin
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The obsidian-sticky-notes-plugin enhances Obsidian's note-taking capabilities by adding virtual sticky notes. These notes can be easily positioned and resized on the screen, offering a more visual and flexible way to organize and brainstorm ideas within the Obsidian workspace.
AI Summary: Implement perplexity calculation for predictions in the MultimodalHugs inference pipeline. This involves modifying the existing `inference_utils.py` to utilize the model's output scores to compute and return the perplexity for each generated sequence. The provided code snippet shows a potential implementation using PyTorch's `log_softmax` and `gather` functions.
MultimodalHugs is an extension of Hugging Face that offers a generalized framework for training, evaluating, and using multimodal AI models with minimal code differences, ensuring seamless compatibility with Hugging Face pipelines.
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MultimodalHugs simplifies the development and deployment of multimodal AI models by extending the Hugging Face ecosystem. It provides a unified framework for training, evaluation, and usage, minimizing code changes and ensuring seamless integration with existing Hugging Face pipelines.
AI Summary: Rename the Zulip search filter `dm-including` to `dm-with`, ensuring backward compatibility by suggesting `dm-with` when `dm-including` is typed. This includes updating all relevant documentation (in-app help, and the help center).
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
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Zulip is an open-source team chat application designed to improve team productivity and focus. It offers threaded conversations, powerful search functionality, and integrations with various other services, enabling efficient communication and collaboration.
AI Summary: The issue describes a CORS error preventing the Layer5 documentation site from accessing user profile details from the Layer5 Cloud API. The task is to debug and resolve this CORS issue, likely requiring adjustments to the API's CORS configuration or the documentation site's request handling to allow cross-origin requests from `docs.layer5.io`. This might involve updating server-side settings or using techniques like JSONP or proxy servers.
Documentation and Developer resources for Layer5 products
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The 'docs' project provides comprehensive documentation and developer resources for Layer5 products. It aims to solve the problem of users lacking readily available information to effectively utilize Layer5's offerings, improving onboarding and overall user experience.
AI Summary: Fix a bug in the expense report approval flow where an approver can unapprove a report that has already received final approval. The bug currently results in an error message. The fix should prevent approvers from unapproving finally approved reports and remove the unnecessary error message.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Debug and fix a bug in the Expensify app where invitees to an IOU conversation are not consistently displayed in the member list. The issue is reproducible on staging and production, affecting the Money Requests component. The fix requires understanding the app's architecture (using Onyx, React, and potentially React Navigation), debugging the member list update logic, and ensuring invited users persist in the list after navigation.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task requires creating a new toolkit for the extensible chatbot that allows users to interact with arbitrary Model Control Panels (MCPs). This involves adding a new toolkit module, configuring it to accept a MCP URL and headers as parameters, and integrating the `ai-sdk.dev/cookbook/node/mcp-tools` to access available tools from the specified MCP.
Extensible chatbot with toggleable toolkits and Generative UI
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toolkit.dev is an extensible chatbot platform that addresses the need for customizable AI interactions. Its key features include toggleable toolkits for diverse functionalities and a Generative UI for dynamic user experiences.
AI Summary: Implement a function to convert pressure readings to depth and vice versa for a sonar system. The conversion will utilize an equation found in the provided link, and the function will likely reside in either a 'propagation.py' file or a new 'utils' module.
Collection of dsp functions for sonar systems
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Sonardsp is a collection of digital signal processing (DSP) functions specifically designed for sonar systems. It addresses the need for efficient and reusable algorithms in sonar applications, offering a library of pre-built functions to simplify development and improve performance.
AI Summary: Implement the NPL equation for the speed of sound in seawater within the `propagation.py` file of the sonardsp project. This equation is detailed in the provided NPL resource link.
Collection of dsp functions for sonar systems
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Sonardsp is a collection of digital signal processing (DSP) functions specifically designed for sonar systems. It addresses the need for efficient and reusable algorithms in sonar applications, offering a library of pre-built functions to simplify development and improve performance.
AI Summary: Implement the Del Grosso equation for calculating the speed of sound in seawater within the existing `propagation.py` file of a sonar signal processing project. This equation will be used to improve the accuracy of sonar system calculations.
Collection of dsp functions for sonar systems
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Sonardsp is a collection of digital signal processing (DSP) functions specifically designed for sonar systems. It addresses the need for efficient and reusable algorithms in sonar applications, offering a library of pre-built functions to simplify development and improve performance.
AI Summary: Implement the UNESCO equation for the speed of sound in seawater within the existing `propagation.py` file of a sonar signal processing project. This involves incorporating the equation from the provided link to accurately calculate sound speed based on relevant seawater parameters.
Collection of dsp functions for sonar systems
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Sonardsp is a collection of digital signal processing (DSP) functions specifically designed for sonar systems. It addresses the need for efficient and reusable algorithms in sonar applications, offering a library of pre-built functions to simplify development and improve performance.
AI Summary: Enhance the exercise history tracking system in the Medve Matek backend (NestJS, Prisma, GraphQL) to record more fields when an exercise is modified. This includes capturing changes to all exercise attributes and incorporating image modifications into the history.
Feladat Beküldő rendszer szerver
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feladatsor-backend is a server-side application for a task submission system. It provides the backend infrastructure for managing and processing submitted tasks, offering a robust and scalable solution for task management.
AI Summary: Integrate a Google Form link for bug reporting into the existing React frontend application. The link should be prominently displayed but not intrusive. Consider also adding links to the frontend and backend issue trackers to reduce duplicate reports.
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The project `feladatsor-frontend` is a frontend application, the exact purpose of which is unknown due to missing description and README. Without further information, its problem-solving capabilities and key features cannot be determined.
AI Summary: Implement a UI feature to allow users to export all backend data as an Excel file. This involves using the existing `exportExcel` GraphQL mutation which returns a download URL. Consider adding a UI element to display and manage a list of previous exports, although this requires backend integration and is out of scope for this task.
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The project `feladatsor-frontend` is a frontend application, the exact purpose of which is unknown due to missing description and README. Without further information, its problem-solving capabilities and key features cannot be determined.
AI Summary: Verify the accuracy of macros for the M6S encounter in the Final Fantasy XIV strategy website (XivStrat) against the current guide content. This involves checking if the macros function correctly and align with the established strategy.
从7.2开始的最终幻想14中文攻略站
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xivstrat is a Chinese Final Fantasy XIV strategy website, providing guides and resources for players since patch 7.2. It aims to solve the problem of accessing comprehensive, localized FFXIV strategy information in Chinese, offering a key feature of translated and curated guides.
AI Summary: Verify the accuracy of the M5S macros used in the Final Fantasy XIV strategy guide (XivStrat) against the current game version and guide content. This involves checking if the macros function correctly and align with the provided strategies.
从7.2开始的最终幻想14中文攻略站
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xivstrat is a Chinese Final Fantasy XIV strategy website, providing guides and resources for players since patch 7.2. It aims to solve the problem of accessing comprehensive, localized FFXIV strategy information in Chinese, offering a key feature of translated and curated guides.
AI Summary: Implement theme-aware styling for the decorators in the VSCode extension 'Console Warrior' to ensure readability in both light and dark modes. This involves adapting the decorator colors to the currently active VSCode theme, potentially using themeColor for dynamic color selection.
🚀 Visualize console.log messages directly inside your VSCode editor! Boost your debugging flow without ever leaving your code. 🛠️
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vscode-console-warrior displays console.log messages directly within the VS Code editor, streamlining debugging by eliminating the need to switch between the code editor and the console. This improves developer workflow and reduces context switching.
AI Summary: Implement a feature in the VSCode extension 'Console Warrior' to remove decorators from `console.log` lines when their content is manually changed by the user. This requires detecting edits within `console.log` statements and removing the decorator if the content no longer matches the original logged value, ideally without a full file rescan for performance.
🚀 Visualize console.log messages directly inside your VSCode editor! Boost your debugging flow without ever leaving your code. 🛠️
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vscode-console-warrior displays console.log messages directly within the VS Code editor, streamlining debugging by eliminating the need to switch between the code editor and the console. This improves developer workflow and reduces context switching.
AI Summary: Create a new Strava toolkit for the Toolkit.dev extensible chatbot application. This involves integrating the Strava API using NextAuth.js for authentication and building UI components to display relevant Strava data (activities, stats, etc.) within the chat interface. The toolkit should adhere to the existing project structure and utilize tRPC for type-safe API calls.
Extensible chatbot with toggleable toolkits and Generative UI
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toolkit.dev is an extensible chatbot platform that addresses the need for customizable AI interactions. Its key features include toggleable toolkits for diverse functionalities and a Generative UI for dynamic user experiences.
AI Summary: Implement HTTP/2 fallback for the usque project, mirroring Cloudflare WARP's recent addition of TCP fallback over HTTP/2 when HTTP/3 is blocked. This involves researching the HTTP/2 protocol and integrating it into the existing Go-based QUIC client, handling fallback logic and potential error scenarios.
Open-source reimplementation of the Cloudflare WARP client's MASQUE protocol.
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usque is an open-source project that recreates Cloudflare WARP's MASQUE protocol, offering users a privacy-enhancing alternative to traditional DNS resolution. It provides improved security and anonymity by masking DNS queries, thereby protecting user privacy from network surveillance.
AI Summary: The task is to debug and fix a bug in the gqlgen library where the `explicit_requires: true` configuration option is not correctly handled when used with the `@entityResolver(multi: true)` directive. The issue arises when a required field within an array of objects is not properly resolved, leading to the generation of unnecessary code and potentially incorrect behavior in a GraphQL federation setup. The solution likely involves modifying the gqlgen code generator to correctly process the `@requires` directive in conjunction with `@entityResolver(multi: true)` and array types.
go generate based graphql server library
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gqlgen is a Go library that generates a GraphQL server from your schema, simplifying the development of GraphQL APIs in Go. It leverages `go generate` for schema updates and offers features like code generation, schema validation, and middleware support, streamlining the process and improving developer efficiency.
AI Summary: Create a new Codecademy Docs entry explaining the C++ `unordered_map::key_eq()` method. The entry should include a description, syntax, example, and compilable codebyte example, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Create a new Discord toolkit for the Toolkit.dev chatbot application. This involves integrating the Discord API to allow users to interact with Discord servers, channels, and potentially messages directly through the chatbot, using the provided Discord API documentation and NextAuth.js integration guide.
Extensible chatbot with toggleable toolkits and Generative UI
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toolkit.dev is an extensible chatbot platform that addresses the need for customizable AI interactions. Its key features include toggleable toolkits for diverse functionalities and a Generative UI for dynamic user experiences.
AI Summary: Implement a `CAProvider` field in the GitLab provider for the External Secrets Operator to allow users to specify a custom CA certificate for self-signed GitLab instances, resolving TLS verification issues when connecting to internal GitLab servers.
External Secrets Operator reads information from a third-party service like AWS Secrets Manager and automatically injects the values as Kubernetes Secrets.
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The external-secrets project addresses the challenge of securely managing sensitive data in Kubernetes by fetching secrets from external providers like AWS Secrets Manager. It simplifies the process by automatically injecting these secrets as Kubernetes Secrets, improving security and operational efficiency.
AI Summary: Create a new Spotify toolkit for the Toolkit.dev chatbot, allowing users to interact with Spotify's API to search for songs, artists, albums, control playback, and potentially access playlists. This involves integrating the Spotify API with the existing Toolkit.dev framework, creating UI components for interaction, and ensuring type safety and security.
Extensible chatbot with toggleable toolkits and Generative UI
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toolkit.dev is an extensible chatbot platform that addresses the need for customizable AI interactions. Its key features include toggleable toolkits for diverse functionalities and a Generative UI for dynamic user experiences.
AI Summary: Complete the integration of a Twitter API toolkit for the Toolkit.dev project. This involves finishing the work started in the provided branch, likely requiring handling API requests, data processing, and UI integration for displaying Twitter data within the chatbot interface.
Extensible chatbot with toggleable toolkits and Generative UI
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toolkit.dev is an extensible chatbot platform that addresses the need for customizable AI interactions. Its key features include toggleable toolkits for diverse functionalities and a Generative UI for dynamic user experiences.
AI Summary: The task is to reduce the verbosity of the symphonia audio library's logging within the Robot Rumble game. This involves finding the appropriate logging configuration within the symphonia library or the game's integration with it, and adjusting the settings to suppress informational messages, leaving only warnings or errors.
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The project's purpose and features are undefined due to missing information in the provided description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task is to create and add HTML and CSS projects to the specified repository. The provided issue, "Test Issue", suggests this is likely a placeholder for future project-specific issues. The current task is to set up the repository and potentially create a basic example project.
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This project, HTML-and-CSS-Projects, lacks a description and README, making it difficult to summarize its specific problem and features. It is presumed to be a collection of projects demonstrating HTML and CSS skills, likely focusing on web page design and layout.
AI Summary: The task is to enhance the `datafusion-cli` to correctly handle Parquet files located within folders. Currently, it fails to recognize a directory containing Parquet files and throws an error. The solution involves modifying the CLI's file parsing logic to identify and interpret Parquet files within a given directory, effectively treating the directory as a wildcard expression (e.g., `/tmp/t1/*.parquet`). This requires updating the way the CLI handles file paths and potentially adding support for glob patterns.
Apache DataFusion SQL Query Engine
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Apache DataFusion is a distributed, extensible SQL query engine built for efficient data processing. It solves the problem of needing a performant and flexible query engine that can handle diverse data sources and integrates well with other systems. Key features include its support for various data formats and execution plans, along with its extensibility through custom operators and functions.
AI Summary: Debug and fix a bug in the WebdriverIO framework where custom commands incorrectly trigger only the `onAfterCommand` reporter event, leading to broken test reports. The issue stems from a missing `command` event emission before the `result` event in the `monad.ts` file. The fix involves ensuring that every `result` emission is preceded by a `command` emission and wrapping the logic in a try-catch block to guarantee a `result` emission even on errors.
Next-gen browser and mobile automation test framework for Node.js
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WebdriverIO is a Node.js-based test automation framework for end-to-end, unit, and component testing in browsers and mobile applications. Key features include support for WebDriver, WebDriver BiDi, and Appium, along with integrations for popular testing frameworks and cloud services like Sauce Labs and BrowserStack.
AI Summary: Implement a feature in FreeCAD's core functionality to automatically add selected items to a newly created group, eliminating the need for manual drag-and-drop. This involves modifying the group creation process to include selected items upon group instantiation.
Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
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FreeCAD is a free and open-source 3D parametric modeler that solves the need for accessible and customizable CAD software. Its key features include multiplatform compatibility and a focus on parametric modeling, allowing for easy modification and iteration of designs.
AI Summary: The task involves improving the existing Spanish translation of the Dinosaur Exploder game and adding a new Brazilian Portuguese translation. This includes fixing a character encoding issue in the Spanish translation and ensuring consistency and natural language flow. The new Portuguese translation should follow the existing file structure and key conventions.
A classic inspired shoot em' up game written in Java with JavaFX and FXGL.
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Dinosaur-Exploder is a classic shoot 'em up game built using Java, JavaFX, and FXGL. It provides fast-paced arcade action, solving the problem of needing a fun and engaging retro-style shooter experience.
AI Summary: The task involves removing the 'dewormed' and 'vaccinated' fields from the Pet model, associated commands, database schema, and ensuring all tests pass after the changes. A Flyway migration file documenting the database modifications is also required.
Maintain your pet history organized
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vetlog-spring-boot is a Spring Boot application designed to help pet owners maintain organized records of their pet's health history. It solves the problem of scattered vet records by providing a centralized, easily accessible digital solution.
AI Summary: Remove the 'dewormed' and 'vaccinated' checkboxes from the pet creation and editing forms and ensure all tests pass. This is to replace these fields with more comprehensive vaccination tracking.
Maintain your pet history organized
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vetlog-spring-boot is a Spring Boot application designed to help pet owners maintain organized records of their pet's health history. It solves the problem of scattered vet records by providing a centralized, easily accessible digital solution.
AI Summary: Enhance TorchCodec to include pixel aspect ratio (PAR) or sample aspect ratio (SAR) information in its metadata when decoding video. This involves retrieving the SAR from FFmpeg's output and incorporating it into the `VideoStreamMetadata` object. Consider adding an optional parameter to rescale frames to square pixels based on the SAR.
PyTorch media decoding and encoding
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torchcodec is a PyTorch library for decoding and encoding media, directly integrating media processing into PyTorch workflows. This solves the problem of needing to use separate libraries for media handling, streamlining the process and enabling end-to-end differentiable media pipelines.
AI Summary: The task involves refactoring the `TileIterator` in the kornia-rs Rust library to safely yield borrowed subslices of image data without using `unsafe` code, while maintaining zero-copy semantics and the standard `Iterator` interface. This requires finding a safe and efficient way to manage borrowing and lifetimes within the iterator to prevent data races and memory safety issues.
🦀 Low-level 3D Computer Vision library in Rust
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kornia-rs is a Rust library providing low-level 3D computer vision functionalities. It addresses the need for efficient and performant 3D vision tools in the Rust ecosystem, offering a foundation for building more complex applications.
AI Summary: Implement a visual indicator (either a persistent top bar status or a popup) to alert the user when the Mars rover UI disconnects from the backend (serial bus/device). This ensures the user is aware of communication failures.
Primary user interface for 2024 URC Mars Rover
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The urc-teleoperation-2024 project develops the primary user interface for the 2024 University Rover Challenge Mars rover, enabling efficient and intuitive remote control. Key features include streamlined command input, real-time sensor data visualization, and robust error handling for reliable rover operation.
AI Summary: Create a Flask command-line interface (CLI) function to migrate variables between tables in a data warehouse. The function should handle loading data, transferring variables, reporting data loss, removing the variable from the old table, updating a JSON configuration file, and saving changes. This is to improve the efficiency of data management and address specific data migration needs.
Opioid Environment Policy Scan - data explorer and backend management
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oeps is a data explorer and backend management system designed to address the need for efficient analysis of opioid-related environmental policies. It provides tools for exploring policy data and managing the backend infrastructure, facilitating research and informed decision-making in this critical area.
AI Summary: Debug and fix a flickering issue in the expense reports page of the New Expensify app after selecting an expense. The issue is reproducible on Android mWeb Chrome in staging but not in production. The task involves analyzing the provided video and codebase (React Native), identifying the root cause of the flicker, and implementing a solution that ensures smooth UI transitions.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
More
New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task requires creating a compatibility patch for PyTorch Lightning (v2.5) to ensure it works correctly with the bitsandbytes library (versions >= 0.46). The issue stems from a change in the `bitsandbytes.functional` API, specifically the `int8_double_quant` function, which now returns a different number of values than previously expected. The patch needs to adjust the unpacking logic in PyTorch Lightning's code to accommodate this change.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
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PyTorch Lightning simplifies the training of large AI models by abstracting away complexities like multi-GPU and TPU training. It allows users to pretrain and finetune models of any size with minimal code changes, focusing on model architecture rather than infrastructure.
AI Summary: This task involves refactoring existing base64 code for consistency, exposing existing base85 and base36 implementations in the `rz-hash` tool and API, adding necessary documentation (Doxygen), and unit tests, and finally implementing a new base32 encoding/decoding function with similar API integration, documentation, and testing.
UNIX-like reverse engineering framework and command-line toolset.
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rizin is a powerful, UNIX-like reverse engineering framework offering a comprehensive command-line toolset. It solves the problem of analyzing binary files by providing a versatile environment for tasks such as disassembly, debugging, and scripting. Key features include support for various architectures and file formats, along with a highly extensible plugin system.
AI Summary: Debug and fix a broken variable resolution in the Ghostfolio Angular application's index.html template. The issue prevents the correct rendering of the page title and likely other variables, and may be related to a recent pull request. The fix will involve investigating the HtmlTemplateMiddleware in the NestJS backend and ensuring proper variable passing to the Angular frontend.
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
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ghostfolio is open-source wealth management software addressing the need for a customizable and transparent personal finance solution. Key features include a user-friendly interface built with Angular and NestJS, leveraging Prisma and Nx for efficient data management and development.
AI Summary: The task is to redesign the configuration API of the `defer_imports.ast_rewrite` module to improve its usability for both libraries and applications. This involves addressing potential misuses of the current API, ensuring proper uninstall behavior, and considering compatibility with various project structures (single-file, multi-file libraries, and large applications with vendored dependencies). The goal is to create a more robust and flexible API that prevents unintended consequences while maintaining its usefulness for different use cases.
Lazy imports with regular syntax in pure Python.
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defer-imports solves the problem of slow import times in Python by enabling lazy loading of modules. It achieves this using standard Python syntax, avoiding the need for complex configuration or external dependencies.
AI Summary: Modify the backend application (NestJS, Prisma, GraphQL) to exclude exercises imported via Excel from the user statistics calculations. This involves identifying the source of the Excel-imported exercises within the database and adjusting the queries used to generate the statistics to filter them out.
Feladat Beküldő rendszer szerver
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feladatsor-backend is a server-side application for a task submission system. It provides the backend infrastructure for managing and processing submitted tasks, offering a robust and scalable solution for task management.
AI Summary: Implement a feature in the Twitch chatbot `a_c_a_c` to automatically follow channels it joins using the Twitch Helix API. This will allow the bot to access follower-only chat features and emotes.
A simple markov chain chatbot for twitch.tv
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a_c_a_c is a Twitch chatbot built using a Markov chain model. It addresses the need for simple, engaging, and easily customizable chatbots by generating responses based on learned patterns from chat logs, providing a fun and interactive experience for viewers.
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The project `feladatsor-frontend` is a frontend application, the exact purpose of which is unknown due to missing description and README. Without further information, its problem-solving capabilities and key features cannot be determined.
AI Summary: Implement a Prometheus gauge metric to track the number of deleted but not yet reclaimed nodes in the Firewood database. This will help monitor the impact of not implementing a delete-node log and inform decisions about its future development.
Compaction-Less Database Optimized for Efficiently Storing Recent Merkleized Blockchain State
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Firewood is a compaction-less database designed to efficiently store and access the recent, Merkleized state of a blockchain. This solves the performance bottlenecks associated with traditional databases when handling frequent updates in blockchain applications, offering improved speed and scalability.
AI Summary: Modify the existing edit profile modal in a React application to increase its size on desktop screens. The current modal is too small and needs resizing for better usability on larger displays. This likely involves adjusting CSS styles within the React component responsible for rendering the modal.
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The project `feladatsor-frontend` is a frontend application, the exact purpose of which is unknown due to missing description and README. Without further information, its problem-solving capabilities and key features cannot be determined.
AI Summary: Fix a UI alignment issue in the Microsoft PowerToys settings pages. The header text is misaligned with the rest of the content on window resizing. The fix requires identifying the cause of the misalignment (likely CSS or layout issues) and adjusting the styling or layout to ensure proper horizontal alignment across different window sizes.
Windows system utilities to maximize productivity
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PowerToys is a suite of free, open-source utilities for Windows that enhance productivity by providing advanced features not included in the standard operating system. These features range from window management tools to image resizing and color picking, addressing common user workflow inefficiencies.
AI Summary: Integrate `docker-mac-net-connect` into the Envoy Gateway's end-to-end (e2e) test workflow for macOS. This involves prompting users to install and run the tool, then incorporating it into the e2e test execution and finally stopping it afterwards. The solution should be user-friendly and handle potential errors gracefully.
Manages Envoy Proxy as a Standalone or Kubernetes-based Application Gateway
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The 'gateway' project simplifies the management of Envoy Proxy, functioning as a standalone or Kubernetes-based application gateway. It addresses the complexities of configuring and deploying Envoy, offering streamlined control and improved operational efficiency for managing application traffic.
AI Summary: Design the architecture for the networkaclparser project. This involves defining the overall system structure, components, and their interactions to efficiently parse network access control lists.
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The project `networkaclparser` lacks a description and README, making its purpose unclear. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Relocate the popup snackbar in a React application from its current overlapping position to the bottom center of the screen and add a close button to it. This involves modifying the snackbar's styling and adding a close button component.
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The project `feladatsor-frontend` is a frontend application, the exact purpose of which is unknown due to missing description and README. Without further information, its problem-solving capabilities and key features cannot be determined.
AI Summary: Refactor the `Usuario` class in a Python Tkinter login application to improve code structure and readability. This involves creating a separate static method for user validation, adding getter and setter methods for the user's name, and including docstrings for all methods. The goal is to enhance maintainability, testability, and adherence to OOP best practices.
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This project, Pr-ctica-3.1-Github---Gitlab, lacks a description and README, making its purpose unclear. Without further information, it's impossible to determine the problem it solves or its key features.
AI Summary: Implement a feature to display the total number of search results when users search for exercises within the MÖK feladatsor-frontend application. This involves modifying the existing search functionality to count and display the number of matching exercises.
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The project `feladatsor-frontend` is a frontend application, the exact purpose of which is unknown due to missing description and README. Without further information, its problem-solving capabilities and key features cannot be determined.
AI Summary: Modify the Gradle build process for the JustServe CLI tool to name the generated executables (currently named `justserve-<OS>-latest`) with a version number (e.g., `justserve-<OS>-0.0.2`) or the current Git branch name. This involves updating the build script to incorporate version information or branch name into the output filename.
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The `cli` project (lacking further description) appears to be a command-line interface tool. Without additional information, its specific problem-solving capabilities and key features remain undefined.
AI Summary: The task is to create a JSON object summarizing the Battleship AI project. The JSON should adhere to a provided schema, including a concise project description, a fun rating (1-5), and a complexity rating (1-5).
A browser-based Battleship game built with TypeScript, React, and Vite that showcases AI vs AI battles using local LLM models
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BattleshipAI is a browser-based game pitting AI players against each other in a game of Battleship. It leverages local Large Language Models (LLMs) for strategic decision-making, demonstrating AI capabilities within a familiar game context. The project is built using TypeScript, React, and Vite for a performant and engaging user experience.
AI Summary: Debug and fix a bug in the StencilJS framework where the setter for a @Prop decorated property isn't correctly invoked after hydration when the property's getter has a specific return type other than 'any'. The solution needs to ensure the setter functions correctly without requiring 'any' type annotations.
A toolchain for building scalable, enterprise-ready component systems on top of TypeScript and Web Component standards. Stencil components can be distributed natively to React, Angular, Vue, and traditional web developers from a single, framework-agnostic codebase.
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Core is a toolchain simplifying the creation and distribution of scalable, enterprise-grade component systems. It leverages TypeScript and Web Components, enabling developers to build once and deploy to React, Angular, Vue, and other frameworks from a single, framework-agnostic codebase.
AI Summary: The task is to debug and fix a bug in the AuthX-Pro sample within the Azure API Management Samples repository. The bug involves an incorrect path to a policy XML file, causing the sample to use a default policy instead of the intended one for authentication and authorization. The solution requires locating the correct policy XML file, updating the `REQUIRE_PRODUCT_XML_POLICY_PATH` variable in the `create.ipynb` notebook, and verifying the functionality of the updated sample.
This repository provides a playground to safely experiment with and learn Azure API Management (APIM) policies in various architectures.
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Apim-Samples is a repository offering a safe environment to explore and learn Azure API Management (APIM) policies. It provides various architectural examples, allowing users to experiment with different policy configurations without impacting production systems.
AI Summary: Implement a new keyboard shortcut in the Brave browser to toggle the "Show bookmarks only on new tab page" setting. This requires modifying the existing keyboard shortcut functionality to include this new option, ensuring it works seamlessly with the other bookmark bar visibility settings (always on/always off). Thorough testing is needed to ensure no conflicts or unexpected behavior arise.
Brave browser for Android, iOS, Linux, macOS, Windows.
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Brave is a privacy-focused web browser available across multiple platforms (Android, iOS, Linux, macOS, Windows). It blocks ads and trackers by default, improving browsing speed and enhancing user privacy. Key features include built-in ad and tracker blocking, a rewards program for users, and a focus on user data protection.
AI Summary: Implement Azure API Management subscriptions linked to specific APIs and products to enhance security and control access, ensuring only authorized products can be used (as demonstrated in the existing AuthX samples). This involves modifying existing Bicep and/or Python code within the provided Azure API Management samples repository to create and manage these subscriptions.
This repository provides a playground to safely experiment with and learn Azure API Management (APIM) policies in various architectures.
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Apim-Samples is a repository offering a safe environment to explore and learn Azure API Management (APIM) policies. It provides various architectural examples, allowing users to experiment with different policy configurations without impacting production systems.
AI Summary: Move the demo-bot files from the main OWMApiWrapper repository to a separate location, likely a new repository. This is related to issue #2 which suggests a reorganization of the project.
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The discord-owm-bot project is missing a description and README, preventing a full summary. Presumably, it's a Discord bot that integrates with OpenWeatherMap to provide weather information within a Discord server. Key features are unknown without further information.
AI Summary: Refactor the Magnitude test runner to improve test isolation. This involves replacing the current esbuild-based compilation and execution method with a more robust approach that runs tests in separate processes, potentially leveraging techniques similar to Ava.js. This change will enhance test reliability and allow for the reintroduction of the `ink` CLI rendering library.
Open source, AI-native testing framework for web apps
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Magnitude is an open-source, AI-native testing framework designed to streamline and improve the testing process for web applications. It leverages AI to automate test creation, execution, and analysis, significantly reducing testing time and effort while enhancing test coverage and reliability.
AI Summary: Implement a blue circle loading animation that displays while waiting for the LLM API response when loading encyclopedia topics. The animation should be visible during searches, topic selections, and direct URL access to new topics, disappearing once the response is received. The animation should be centrally located, visually unobtrusive, and not interfere with other UI elements. Bonus points for making the animation customizable.
A community-driven, decentralized encyclopedia platform built with Flask and the ChatGPT API (Or any other LLM with an API).
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encycloped.ai is a decentralized encyclopedia platform leveraging the power of LLMs like ChatGPT to create and edit entries collaboratively. It addresses the limitations of centralized encyclopedias by offering a community-driven, transparent, and easily extensible knowledge base.
AI Summary: Debug and fix a bug in the Expensify app where a "The receipt couldn't be scanned, as it's missing.." error is incorrectly displayed in the LHN for Costco receipts when creating scan expenses. The bug is reproducible on iOS and Windows Chrome, and requires familiarity with the Expensify app's architecture, including Onyx, actions, and potentially the receipt scanning process. The solution may involve investigating the receipt processing logic, potentially updating the error handling, and ensuring correct data flow within the app.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Enhance the Semantic Mail CLI agent to support multiple Gmail accounts. This involves adding a `--account` command-line option to the `sync`, `search`, and `ask` commands, allowing users to specify which account to operate on. The default behavior should remain unchanged, operating on all linked accounts if no account is specified. This requires modifications to the authentication and data management components to handle multiple account credentials and data storage.
Lightweight local swappable semantic search & ask CLI agent for Gmail
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semantic-mail is a command-line tool providing semantic search and question answering capabilities for your Gmail inbox. It leverages local processing for privacy and allows for easy swapping of different semantic search engines, offering a flexible and secure way to interact with your emails.
AI Summary: Fix a bug in the Pujo Atlas web application where the 'Go back to the home page' button on 404 pages within the '/app/*' route redirects to the root '/' instead of the correct '/app' route. This requires completing issue #267 first.
The most advanced pandal hopping experience*
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PujoAtlasKol-Web is a web application designed to enhance the Durga Puja pandal hopping experience in Kolkata. It aims to solve the problem of finding and navigating to pandals efficiently, providing users with a comprehensive map, detailed pandal information, and potentially other features like reviews and ratings.
AI Summary: The task involves modifying a Python settings application to read configuration values from Windows environment variables, specifically using `os.environ` to access paths like `%APPDATA%` or `%LOCALAPPDATA%` for storing user data. This improves cross-system compatibility and handles edge cases of non-default installation directories. The change should prioritize using `%APPDATA%` for data sharing across multiple systems.
Vega Strike Upon The Coldest Sea Original Game Data Art Sources (e.g. hi-poly/hi-res source models/images)
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Assets-Masters is a project archiving high-resolution source art assets from the Vega Strike: Upon The Coldest Sea game. This preserves original game data, providing valuable resources for modders, researchers, and fans interested in the game's development and visual elements.
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The Universe_database project aims to provide a comprehensive and easily accessible database of astronomical information. While details are currently unavailable, it likely solves the problem of scattered astronomical data by centralizing and organizing it for researchers and enthusiasts.
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WebCraft is a project whose purpose and features are undefined due to missing project description and README. Therefore, no specific problem it solves or key features can be summarized.
AI Summary: Remove all instances of `console.log` from the Leadminer backend codebase and replace them with appropriate logger statements, as per the provided links to specific files and a general search result.
⛏ Leadminer - mine contacts from your own mailbox
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Leadminer extracts contact information directly from your email inbox, solving the problem of manually compiling leads. Its key feature is the automated extraction of contact details, saving significant time and effort in lead generation.
AI Summary: Modify the Ocean Navigator's NetCDF subsetting functionality to ensure longitude values in the output are consistently within the -180 to 180 degree range. This involves adjusting the data processing within the Python backend (likely the 'Plotting' component) to handle longitude remapping before returning subset data to the user interface.
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
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The Ocean-Data-Map-Project, or Ocean Navigator, is an online tool designed to visualize scientific oceanographic research data, making complex datasets more accessible and understandable to researchers and the public. Key features include interactive maps and data visualizations for improved exploration and analysis.
AI Summary: Add emojis to the text-based interface of a virtual coffee machine to improve the user experience. This involves modifying the existing Python code to incorporate emojis at appropriate points in the user interaction flow, such as when displaying options, confirming orders, or showing the report.
Virtual coffee machine created for learning purposes.
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The `coffee-machine` project is a virtual coffee machine built for educational purposes. It simulates the process of making coffee, providing a hands-on learning experience in programming concepts without the need for physical hardware.
AI Summary: The issue is that certain structure scoring methods in the pgmpy library (specifically those using log-likelihood and relying on statsmodels' glm) fail when the input data contains integer-valued nodes. The task is to debug and fix this issue, ensuring that these scoring methods correctly handle integer data, either by adapting the existing code or providing a clear error message with a suggested workaround.
Python Library for Causal and Probabilistic Modeling using Bayesian Networks
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pgmpy is a Python library that addresses the need for efficient causal and probabilistic modeling. It leverages Bayesian Networks to represent and reason with uncertainty, offering features for model creation, inference, and parameter learning.
AI Summary: The task requires debugging a multi-modal agent in the Swarms framework that uses function calling. The agent is intended to analyze images and provide a quality control report, but it's currently failing with an 'Invalid JSON in API response' error. The solution involves fixing issues within the agent.py and litellm_wrapper.py files to ensure correct JSON formatting in the API calls and proper handling of multi-modal inputs and function calls.
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
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Swarms is a production-ready framework for orchestrating multi-agent systems in enterprise environments. It solves the complexities of managing and coordinating large numbers of agents, offering features for robust deployment, monitoring, and scaling.
AI Summary: The task requires modifying the Metanorma Datastruct plugin or its usage within the ISO 10303 templates to allow the `load_file` Liquid filter to dynamically access a `changes.yaml` file located within a subdirectory structure (`documents/iso-10303-*/`) relative to the current AsciiDoc document. This likely involves either enhancing the `load_file` filter to infer the document's path or providing a mechanism to inject the part number into the file path string before passing it to `load_file`.
Metanorma plugin that allows you to access static data structures like JSON, YAML, XML from a Metanorma document
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The metanorma-plugin-datastruct project is a Metanorma plugin enabling access to external static data (JSON, YAML, XML) within Metanorma documents. This solves the problem of integrating structured data into documents, enhancing flexibility and automation in document generation.
AI Summary: This task involves refactoring the routing system of a web application to restrict access to certain routes in the production environment. This includes restructuring the routes object, creating a RouteProvider component, implementing 404 handling for restricted routes based on a beta flag, adding Posthog event tracking for 404 errors, and creating a dummy page for testing.
The most advanced pandal hopping experience*
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PujoAtlasKol-Web is a web application designed to enhance the Durga Puja pandal hopping experience in Kolkata. It aims to solve the problem of finding and navigating to pandals efficiently, providing users with a comprehensive map, detailed pandal information, and potentially other features like reviews and ratings.
AI Summary: Implement high-performance logging in the Microsoft Identity Web credential providers, replacing existing ad-hoc logging mechanisms. This involves integrating a suitable logging framework (e.g., Serilog) to improve the efficiency and effectiveness of logging within the credential providers.
Helps creating protected web apps and web APIs with Microsoft identity platform and Azure AD B2C
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Microsoft Identity Web simplifies building secure web applications and APIs by integrating with Microsoft's identity platform and Azure AD B2C. It handles authentication and authorization, allowing developers to focus on application logic rather than security infrastructure.
AI Summary: Evaluate the ability of different AI models (Gemini, Azure OpenAI, OpenAI, etc., as supported by kubectl-ai) to automate the setup of a Kubernetes cluster for developers. This includes creating namespaces, implementing RBAC for access control, setting resource quotas, and potentially configuring network policies. The evaluation should assess the AI's ability to handle tasks such as setting up development, staging, and production environments within a single cluster with appropriate isolation and security measures.
AI powered Kubernetes Assistant
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kubectl-ai is an AI-powered assistant designed to simplify Kubernetes management. It streamlines complex tasks, such as troubleshooting and resource optimization, by providing intelligent suggestions and automated actions, making Kubernetes more accessible to users of all skill levels.
AI Summary: Implement support for dedicated tenancy in the Terraform AWS provider's `aws_workspaces_directory` resource. This involves adding a new `tenancy` attribute to the resource configuration, allowing users to specify "DEDICATED" tenancy for AWS Workspaces to support BYOL licensing. The implementation will require updating the provider's code to interact with the corresponding AWS API.
The AWS Provider enables Terraform to manage AWS resources.
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The terraform-provider-aws project allows infrastructure management of AWS resources using HashiCorp's Terraform. It solves the problem of manually configuring and managing AWS infrastructure by providing a declarative approach, enabling automation and version control.
AI Summary: Update the LMCache documentation to reflect the new `LMCacheConnectorV1Dy` usage, following the merge of pull request #843 which allows decoupling LMCache from vLLM. This involves adding instructions and examples on how to use the new connector in the documentation.
Redis for LLMs
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LMCache is a Redis-based caching solution designed to significantly speed up Large Language Model (LLM) applications. It addresses the performance bottleneck of repeatedly querying LLMs by caching responses, reducing latency and cost while maintaining data consistency.
AI Summary: Add a pre-commit hook to automatically insert Apache license headers into shell scripts, handling shebang lines correctly. This involves adapting an existing pre-commit hook configuration for other file types to work with shell scripts.
A cluster computing framework for processing large-scale geospatial data
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Sedona is a cluster computing framework designed to efficiently process massive geospatial datasets. It addresses the challenges of handling large-scale spatial data analysis by providing optimized algorithms and distributed processing capabilities.
AI Summary: Add a pre-commit hook to automatically insert Apache license headers into XML files, similar to existing hooks for other file types. This involves configuring a pre-commit hook using a specified library and potentially adapting it to handle XML file specifics.
A cluster computing framework for processing large-scale geospatial data
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Sedona is a cluster computing framework designed to efficiently process massive geospatial datasets. It addresses the challenges of handling large-scale spatial data analysis by providing optimized algorithms and distributed processing capabilities.
AI Summary: Update the styling of pre-defined area features within the Ocean Navigator's map component to match the visual style of user-drawn features. This involves modifying the `loadFeatures` method in the React component to apply consistent styling properties (e.g., color, opacity, line width) to both pre-defined and user-drawn areas.
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
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The Ocean-Data-Map-Project, or Ocean Navigator, is an online tool designed to visualize scientific oceanographic research data, making complex datasets more accessible and understandable to researchers and the public. Key features include interactive maps and data visualizations for improved exploration and analysis.
AI Summary: The task requires creating a Helm chart test, usable both locally via a bash script and within a GitHub workflow, for automated testing when new charts are published to the KubeStellarUI project. The solution should draw inspiration from existing Helm chart testing in related Kubestellar projects.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Implement support for Algorand Standard Asset (ASA) ARC-62 in the AlgoKit Lora explorer to accurately display the circulating supply of assets that adhere to this standard. This involves updating the data fetching and display logic within Lora to correctly interpret and present the circulating supply information as defined by ARC-62.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
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StyleCart is a project whose purpose and features are undefined due to missing project description and README. Therefore, no problem solved or key features can be summarized.
AI Summary: Implement feature highlighting on mouse hover for the Ocean Navigator map. This involves modifying the existing Javascript code (React and OpenLayers) to change the style of map features when the mouse hovers over them, similar to the example provided in the OpenLayers documentation. The goal is to improve user experience by making it easier to select features from a potentially crowded map.
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
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The Ocean-Data-Map-Project, or Ocean Navigator, is an online tool designed to visualize scientific oceanographic research data, making complex datasets more accessible and understandable to researchers and the public. Key features include interactive maps and data visualizations for improved exploration and analysis.
AI Summary: Debug and fix an issue where IOU messages appear pre-read in the web and desktop apps, lacking an option to mark them as unread. This requires investigating the application's unread message logic, potentially involving Onyx data handling, actions, and UI components. The fix should ensure IOU messages display correctly as unread and provide functionality to mark them as such from the action bar and LHN.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
More
New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a `horizontalLoop` function for the `<TextVelocityLoop />` component in the LUNIPOD UI project, showcasing its functionality with a code example.
A creative set of animated UI elements built with Tailwind CSS and GSAP perfect for adding visual flair without the weight of full design systems.
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lunipod provides a lightweight collection of animated UI elements built with Tailwind CSS and GSAP, solving the problem of adding engaging visual flair to projects without the overhead of large design systems. Its key features include pre-built, easily customizable animations and a focus on performance and minimal code.
AI Summary: Improve accessibility of a SvelteKit website by enhancing screen reader support for dynamic components like accordions, dynamic content updates, a progress bar, and decorative icons. This involves adding ARIA attributes and potentially using ARIA live regions to ensure that screen reader users receive appropriate feedback and understand the state of the interface.
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This project is a website, the specifics of which are undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be described.
AI Summary: Fix the misalignment of the dataset dropdown menu in plot windows of the Ocean Navigator application. This involves adjusting the CSS or layout to make the dropdown menu and its title responsive and correctly sized within the smaller plot window dimensions. The fix should ensure proper alignment and readability across different window sizes.
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
More
The Ocean-Data-Map-Project, or Ocean Navigator, is an online tool designed to visualize scientific oceanographic research data, making complex datasets more accessible and understandable to researchers and the public. Key features include interactive maps and data visualizations for improved exploration and analysis.
A creative set of animated UI elements built with Tailwind CSS and GSAP perfect for adding visual flair without the weight of full design systems.
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lunipod provides a lightweight collection of animated UI elements built with Tailwind CSS and GSAP, solving the problem of adding engaging visual flair to projects without the overhead of large design systems. Its key features include pre-built, easily customizable animations and a focus on performance and minimal code.
AI Summary: Implement streaming support for the vtkF3DSplatReader in the F3D project by extending it from vtkAbstractPolyDataReader, mirroring the implementation in vtkF3DSPZReader, and adding corresponding tests.
Fast and minimalist 3D viewer.
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f3d is a fast, minimalist 3D viewer supporting various file formats (glTF, USD, STL, etc.), animations, and rendering options including ray tracing. It offers command-line control, configuration files, and a lightweight C++17 library (libf3d) with Python bindings for easy integration.
AI Summary: Create a new section for charts within the Magenta A11y Native App accessibility criteria documentation, separating chart-specific guidance from the existing 'Graphics/Visual Elements' section. This involves creating a new Markdown file using the provided `create-md` script, populating it with relevant accessibility testing criteria for charts, and updating the navigation to reflect the new section.
Magenta A11y is a tool built to simplify the process of accessibility testing.
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magentaA11y streamlines accessibility testing, simplifying the process of identifying and addressing accessibility issues in web applications. Key features focus on ease of use and providing clear, actionable feedback to developers.
AI Summary: Add a GitHub Actions YAML configuration file (.yml) to the `pytutorial2` project to automate build, test, or deployment processes. The issue description indicates a need for a new configuration file, likely for CI/CD.
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The project pytutorial2 lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement consistent and visible `:focus-visible` styles for all interactive elements (buttons, links, form inputs) across the Global Governance Frameworks website to improve accessibility for keyboard users. This involves creating a global CSS rule and potentially adjusting styles for specific components to ensure focus states match hover states for consistency.
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This project is a website, the specifics of which are undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be described.
AI Summary: The task involves debugging a bug in the System.Text.Json library's UInt128Converter. The converter is writing an unsliced buffer when serializing UInt128 values as property names, resulting in unexpected and inconsistent JSON output. The solution requires identifying the root cause of the buffer slicing issue within the converter's code and implementing a fix to ensure correct serialization.
.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
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.NET runtime is a cross-platform execution environment enabling the development and deployment of applications across various platforms including cloud, mobile, desktop, and IoT. It solves the problem of platform-specific code by providing a consistent runtime, allowing developers to write once and deploy anywhere.
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InterXAI is a project whose description and details are currently unavailable. Therefore, no problem solved or key features can be summarized.
AI Summary: The task involves initiating the Arabic localization of the activist.org platform. This includes translating core UI elements like menus, navigation, and onboarding content. The contributor will need to use Weblate, the platform's chosen localization tool, and may encounter right-to-left (RTL) layout challenges.
An open-source activism platform
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Activist is an open-source platform designed to empower social movements and facilitate collaborative activism. It aims to solve the problem of fragmented communication and organization within activist groups by providing tools for communication, event planning, and resource sharing.
AI Summary: Implement locale-specific number formatting for all numerical amounts displayed in AlgoKit Lora, ensuring compatibility with various locales and handling large numbers and decimals correctly. This involves creating locale-aware formatting utilities, updating core display and form components, and thorough testing across different locales.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task is to debug a NameError in a Rails 8 application's health controller. The error, `NameError: uninitialized constant ActionController::Base`, arises during testing and seems related to the loading order of Rails components. The solution likely involves adding a `require 'action_controller'` statement to the `railties/lib/rails/health_controller.rb` file to ensure the necessary constant is available before it's used. This may require understanding Rails' initialization process and dependency management.
Ruby on Rails
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Ruby on Rails is a popular open-source web application framework that accelerates web development by providing structure and conventions. It solves the problem of building web applications quickly and efficiently, offering features like scaffolding, database interaction tools, and a robust MVC architecture.
AI Summary: This task requires refactoring the KubeStellarUI backend's login system to use PostgreSQL for authentication instead of kubeconfig. This involves removing existing kubeconfig-based logic, designing a PostgreSQL user table schema with secure password hashing (bcrypt), creating database migrations, updating login routes to use the new PostgreSQL logic, generating JWT tokens upon successful login, and ensuring all admin routes are protected with middleware.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Implement a `check_health` function for the vLLM V1 inference engine to verify the health of the engine and its subprocesses. This involves creating a mechanism to check the status of all running components and return a health indicator, improving operational monitoring capabilities.
A high-throughput and memory-efficient inference and serving engine for LLMs
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vllm is a high-throughput, memory-efficient inference and serving engine designed to address the challenges of deploying large language models (LLMs). It overcomes limitations in existing systems by optimizing for speed and resource usage, enabling efficient serving of LLMs in production environments.
pencil it in is the first shared calendar built for friends, not meetings
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pencil-it-in-web solves the problem of scheduling social events with friends by providing a shared calendar specifically designed for casual get-togethers, not formal meetings. Key features include ease of use and a focus on intuitive friend-based scheduling.
pencil it in is the first shared calendar built for friends, not meetings
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pencil-it-in-web solves the problem of scheduling social events with friends by providing a shared calendar specifically designed for casual get-togethers, not formal meetings. Key features include ease of use and a focus on intuitive friend-based scheduling.
pencil it in is the first shared calendar built for friends, not meetings
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pencil-it-in-web solves the problem of scheduling social events with friends by providing a shared calendar specifically designed for casual get-togethers, not formal meetings. Key features include ease of use and a focus on intuitive friend-based scheduling.
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The `day-progress-bar-extension` project aims to improve user awareness of daily time progression. It achieves this by displaying a visually prominent progress bar indicating the percentage of the day that has elapsed. This simple yet effective feature helps users better manage their time and productivity.
AI Summary: The task is to enhance the Algorand AlgoKit Lora tool to handle and display large Algo values exceeding the JavaScript Number.MAX_SAFE_INTEGER limit (2^53 - 1). This likely involves using a BigInt library or alternative representation to accurately process and present these larger amounts within the application's user interface and data handling.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task is to improve the user interface (UI) of Lora, an Algorand network explorer, by increasing its information density. This likely involves redesigning elements of the UI to display more data efficiently without sacrificing usability or clarity. The specific changes required are yet to be defined.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task is to create an SVG icon for the brand Braintrust, based on the provided PNG and website information. The icon should adhere to the Simple Icons style guide and be added to the Simple Icons repository.
SVG icons for popular brands
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simple-icons provides a collection of readily available SVG icons for popular brands, solving the problem of finding and implementing consistent, high-quality brand logos in web projects. Its key feature is the provision of simple, easily integrated SVG files for a wide range of brands.
AI Summary: The task involves significantly expanding the unit test coverage for the vLLM Ascend plugin. This includes creating numerous new unit tests following specific guidelines (using the `unittest` framework, mocking device-related functions, and maintaining a consistent file structure) to cover currently untested code across various modules.
Community maintained hardware plugin for vLLM on Ascend
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vllm-ascend is a community-maintained plugin that extends the capabilities of the vLLM large language model framework to run on Ascend AI processors. This plugin addresses the need for efficient large language model inference on Ascend hardware, offering improved performance and resource utilization.
AI Summary: Implement visualization for ARC-28 events within the Algorand AlgoKit Lora tool. This involves enhancing the existing visual transaction view and potentially adding new features to display and interpret data related to ARC-28 compliant events, ensuring seamless integration with the current tool's functionality and design.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task is to enhance the Algorand AlgoKit Lora tool by adding support for visualizing and interacting with application creation, update, and deletion transactions. This involves extending the existing functionality to handle the specific transaction subtypes associated with these app lifecycle events, likely including displaying relevant data within the visual transaction view and potentially adding new features to the App Lab or Transaction Wizard.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task is to add a new JSON Schema tool, JSON Schema Kit, to the JSON Schema website's ecosystem page. This involves updating the website's data and potentially the page's structure to include the tool's information, such as its description, features, and links to its repository and homepage.
JSON Schema website
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This project is the website for JSON Schema, built using Next.js and Tailwind CSS, and deployed on Netlify. It provides documentation, blog posts, and information about JSON Schema implementations, aiming to be a central resource for the JSON Schema community.
AI Summary: Create a new Codecademy Docs entry explaining the `capacity()` method for C++ strings. The entry should follow a provided template and style guide, including a description, syntax, example, and compilable codebyte example. This involves forking the repository, creating a branch, writing the markdown entry, and submitting a pull request.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Design and implement a static landing page for the Sticky-Memo application using React, MUI, and Vite. The page should be responsive, visually appealing, and include sections for a hero, features, testimonials (optional), and a call to action. The final product will be deployed to Netlify.
Open Source Contribution Sticky notes web Application. Develop: https://sticky-memo-dev.vercel.app
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Sticky-Memo is an open-source, React-based web application that provides a virtual sticky notes interface. Key features include easy note creation, organization, and collaborative editing (implied by the contribution guidelines).
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InterXAI is a project whose description and details are currently unavailable. Therefore, no problem solved or key features can be summarized.
AI Summary: The task is to implement support for simultaneous rekey operations within AlgoKit Lora, encompassing all transaction types. This involves enhancing the existing functionality to allow users to perform multiple rekeying actions concurrently, regardless of the transaction type being used (e.g., payment, asset transfer, application call). The placeholder issue description needs to be fleshed out by June 25th, 2025, to provide specific requirements and details for implementation.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Create improved examples for the 'build partitions' page of the Moderne documentation (https://docs.moderne.io/user-documentation/moderne-cli/how-to-guides/build-partitions/) using Maven and/or Gradle. Collaboration with developers is needed to ensure accurate and effective examples.
Moderne SaaS documentation as Gitbook contents
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Moderne-docs provides SaaS documentation as Gitbook content, solving the problem of maintaining and distributing up-to-date documentation. Key features include a streamlined Gitbook-based structure for easy editing and version control, ensuring accessible and consistent information for users.
AI Summary: Debug and fix a UI flickering issue in the KubeStellarUI application caused by the repeated rendering of the 'Searching for available clusters...' message during cluster import. The solution involves investigating the frontend code (React/TypeScript) to identify why the message is being repeatedly rendered and implement a fix to display it only once while the cluster search is in progress.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Implement a `placeholder` parameter for the `gr.Number` component in the Gradio library, similar to the existing `placeholder` parameter in `gr.Textbox`, to provide a visual hint to users without affecting the input value. This addresses user confusion caused by the default display of '0' and improves the user experience.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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Gradio simplifies the creation and sharing of machine learning applications directly from Python. It solves the problem of complex deployment by providing a user-friendly interface and streamlined sharing capabilities, focusing on ease of use and rapid prototyping.
AI Summary: Refactor a section of the Valype project's getting started guide (lines 37-108 in `getting-started.md`) to improve code grouping and organization. This likely involves restructuring the code examples and explanations related to installing the plugin for various package managers (npm, yarn, pnpm, bun).
Valype = Validate + Type. Automatically generates runtime validators from TypeScript type definitions.
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Valype automates the creation of runtime validators for TypeScript projects. By leveraging existing type definitions, it eliminates the need for manual validator implementation, saving development time and reducing errors.
AI Summary: Create a new Codecademy Docs entry explaining the C++ `unordered_map::load_factor()` method. The entry should include a description, syntax, example, and compilable codebyte, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Implement a pop-up form for creating/editing user profiles. The form should appear when a logged-in user clicks on a 'profile' section, and should collect all necessary user information as specified in the project's profile management section (e.g., education, experience, projects, etc.). The form's data should be saved to the chosen database (PostgreSQL or MongoDB).
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LinkUp.AI is a project whose description and functionality are currently undefined. Therefore, no problem it solves or key features can be summarized.
AI Summary: The task involves reviewing and potentially contributing to a Python tutorial project. The project is organized into modules covering fundamental Python concepts, and this specific issue signals the completion of Module 3, focusing on data structures (lists, tuples, dictionaries, sets, and comprehensions). The task might involve reviewing the content for accuracy, clarity, and completeness, potentially translating existing content, or adding new examples or exercises.
Exploring Python programming, one step at a time.
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Python-Journey is a project designed to help beginners learn Python programming gradually. It focuses on a step-by-step approach, making the learning process more manageable and accessible.
AI Summary: The task is to investigate why the version information embedded in the executable files of the installed and portable versions of Super Productivity differ slightly. The discrepancies are minor, involving the 'Internal Name', 'Original Filename', and 'File Description' fields. The goal is to ensure consistency in the version information across both installation types.
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
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Super Productivity is a powerful todo list application designed to boost productivity by combining timeboxing and time tracking features. Its key strength lies in its integrations with popular project management tools like Jira, GitLab, GitHub, and Open Project, allowing for seamless task management across platforms.
AI Summary: The task involves adding support for configuring HTTP requests in the MapLibre Compose Multiplatform library. This requires exposing an API that allows users to set custom headers and potentially other request parameters for tile server interactions. The challenge lies in unifying the different approaches to HTTP request configuration across Android, iOS, JavaScript, and Desktop platforms, which have varying levels of support and API designs.
Add interactive vector tile maps to your Compose app
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maplibre-compose simplifies adding interactive, vector tile maps to Android applications built with Jetpack Compose. It leverages MapLibre-GL for rendering and provides a declarative, Kotlin-based API for easy map integration and customization.
AI Summary: The task is to enhance the ThingsBoard open-source IoT platform's `AttributeService` to support updating existing timeseries data. Currently, it only allows saving new data. The solution involves modifying the `saveEntityTimeseries` function in `ui-ngx/src/app/core/http/attribute.service.ts` to include an update capability, potentially by adding a mechanism to identify and update specific records based on timestamps or other unique identifiers. Alternative solutions for efficiently updating timeseries data should also be explored.
Open-source IoT Platform - Device management, data collection, processing and visualization.
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ThingsBoard is an open-source IoT platform that addresses the challenges of managing and visualizing data from connected devices. Its key features include device management, data collection, processing, and visualization capabilities, providing a comprehensive solution for IoT deployments.
AI Summary: The task is to debug a JavaScript parser (Meriyah) that incorrectly reports the error range for a `use strict` directive within a function declaration. The parser should identify the incorrect token (`package` in this case) as the source of the error, rather than the `use strict` directive itself.
A 100% compliant, self-hosted javascript parser - https://meriyah.github.io/meriyah
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Meriyah is a fully compliant, self-hostable JavaScript parser written in JavaScript. It addresses the need for a reliable and easily integrated parsing solution, offering developers complete control and avoiding external dependencies.
AI Summary: Fix an unexpected margin issue in the `KExternalLink` component of the Kolibri Design System. The task involves debugging margin application logic within the component to ensure consistent spacing between link text and icons, regardless of language direction (LTR/RTL) or icon provision method (props, slots, or `openInNewTab`). This requires understanding Vue.js, CSS, and potentially RTL considerations. Thorough testing and visual verification are crucial, including creating visual tests and following the provided guidelines for updating the library and previewing changes within the Kolibri Design System environment.
Kolibri Design System
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The Kolibri Design System provides a unified design language and reusable UI components for Kolibri educational products. It offers comprehensive documentation and a component library (npm package) to streamline development and ensure consistency across the platform. The system is not intended for external use but exclusively for Kolibri's internal projects.
AI Summary: The task is to debug a Cloudflare Worker that proxies requests to Google's Gemini AI API. The worker is encountering a "400: User location is not supported" error. The solution likely involves either modifying the worker to handle location restrictions or verifying the user's API key and access permissions within the Google Cloud console.
🌐 A simple Cloudflare Worker - Serverless & Cost-Effective: No need to rent or manage your own server. Cloudflare Workers operate on a serverless model, and the free tier is often sufficient for personal use
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AI-worker is a serverless application built using Cloudflare Workers, offering a cost-effective solution for deploying AI projects. It eliminates the need for server management by leveraging Cloudflare's infrastructure, making it ideal for personal projects or small-scale deployments.
AI Summary: Enhance the Bluesky USAXS instrument's spec file output for flyscans by adding informative comments, such as the flyscan's filename and a clear indication that a flyscan was performed. This will improve the spec file's usefulness as a human-readable log of instrument operations.
USAXS Bluesky instrument for APS-U era
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usaxs-bits is a Bluesky-based instrument control system for the USAXS beamline at the Advanced Photon Source Upgrade (APS-U). It provides a modern, flexible framework for data acquisition and experiment control, improving the user experience and data quality.
AI Summary: Implement a user-friendly setting in Super Productivity to allow users to configure their data folder location, including options to migrate existing data and prompting for a restart after changes.
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
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Super Productivity is a powerful todo list application designed to boost productivity by combining timeboxing and time tracking features. Its key strength lies in its integrations with popular project management tools like Jira, GitLab, GitHub, and Open Project, allowing for seamless task management across platforms.
AI Summary: Find a new maintainer for the `aio-local-AI` community container for Nextcloud's all-in-one solution. This involves understanding the current setup, the LocalAI project, and the Nextcloud AppAPI integration. The new maintainer will need to be able to handle updates and maintain compatibility.
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The project `aio-local-ai` (assuming it's a project based on its name) likely aims to provide a local, asynchronous AI solution. This addresses the need for privacy and reduced latency by processing AI tasks on a user's own machine, rather than relying on cloud services. Key features would likely include asynchronous processing for improved performance and a focus on local computation.
AI Summary: Debug and fix a bug in the Expensify web application's onboarding flow. The back button on the accounting software step unexpectedly closes the onboarding process when a user is already signed in from an organization's domain. The fix requires understanding the application's React architecture, potentially involving debugging JavaScript code and modifying the application's state management (Onyx).
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a GitHub Action that warns on pull requests older than one month and closes them after an additional week of inactivity. This requires configuring the action to interact with the Ladderly.io repository and potentially integrating with existing CI/CD pipelines.
the home site for the ladderly ecosystem
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Ladderly-3 is the central website for the Ladderly ecosystem, providing a unified access point to its various services and resources. It solves the problem of fragmented access by consolidating information and tools into a single, user-friendly platform.
AI Summary: Create a guide for inviting guest speakers to the Hack For LA Data Science Community of Practice (CoP). This includes developing social networking strategies and an email template for outreach. The guide will be peer-reviewed.
The Hack For LA Data Science team is a Community of Practice within the LA brigade seeking to make analytical and machine learning services available to local communities and organizations.
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The Hack For LA Data Science project empowers local communities and organizations by providing accessible analytical and machine learning services. It addresses the need for data-driven solutions within the Los Angeles area by fostering a community of practice to develop and deploy these services.
AI Summary: Write unit tests for the webhook signing functionality in the Flagsmith API. This involves verifying the signature generation algorithm used across multiple webhook integrations, ensuring its correctness and completeness.
Flagsmith is an open source feature flagging and remote config service. Self-host or use our hosted version at https://app.flagsmith.com.
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Flagsmith is an open-source feature flagging and remote configuration service that solves the problem of managing feature releases and A/B testing. It allows for controlled rollouts, targeting specific user segments, and easy updates without requiring new code deployments, offering both self-hosted and cloud-based options.
AI Summary: Debug and fix a bug in a Rust-based Windows application where the main search UI window fails to appear after pressing the hotkey. This involves investigating potential issues with window initialization, Z-order, focus, and Slint rendering, and implementing appropriate solutions using Windows API calls or Slint functions.
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The project 'totalcontrol' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a `config.rs` module to load and parse user-defined commands from a `commands.json` file. The module should return a structured representation of these commands for use in the autocomplete and command execution features of the TotalControl application.
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The project 'totalcontrol' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement logging to separate text files for the Pong game. Currently, all game data is stored in one place; the goal is to improve organization and data retrieval by writing game-related information to separate .txt files.
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Pong is a classic arcade game recreating the iconic two-player paddle and ball gameplay. It solves the problem of needing a simple, fun, and easily accessible game by providing a clean and intuitive implementation.
AI Summary: The task involves building the complete data integration pipeline for household data, transforming raw data from various sources (bronze layer) into a cleaned and consolidated format (silver layer), and finally into a target schema (gold layer) specified in a provided Google Drive document. This will utilize an ELT (Extract, Load, Transform) approach with a medallion architecture and involve using Python scripts, Docker Compose, PostgreSQL, and dbt for data transformation and loading.
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Insufficient information is provided to summarize the project '13_odis'. The description and README are undefined, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: Create a sample `commands.json` file with 2-3 example commands (e.g., launching Notepad or opening Google) to guide users on configuring custom commands in the TotalControl application.
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The project 'totalcontrol' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a new `ProgressBar` widget for the `bevy_extended_ui` crate. The widget should visually represent progress, similar to a slider but updated via events or triggers rather than user interaction. It should integrate seamlessly with the existing CSS styling system.
This crate extended the default bevy_ui plugin
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bevy_extended_ui enhances Bevy's built-in UI system by adding features not present in the default implementation. It aims to simplify and extend UI development within the Bevy game engine, providing developers with more tools and flexibility.
AI Summary: Porting the Glayout package's functionality, currently built on GDSFactory v7, to the latest GDSFactory v9. This involves updating the codebase to utilize the improved features of v9, such as enhanced routing, simulation, PCell support, and visualization capabilities. The goal is to improve Glayout's performance, features, and maintainability.
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gLayout is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, no problem it solves or key features can be summarized.
AI Summary: Investigate the 'quadrix' dependency used in the matrix.org website. Determine if the dependency is still viable given its inactivity for two years and potential issues like authenticated media. If it's obsolete, plan and execute its removal or replacement, ensuring the website remains functional.
matrix.org public website
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The matrix.org website serves as the public face of the Matrix decentralized communication protocol. It provides information about Matrix, its features (like end-to-end encryption and federation), and links to client applications and community resources, solving the problem of discoverability and accessibility for users interested in this open-source communication platform.
AI Summary: The task involves debugging a Telegram bot that uses yt-dlp to download YouTube videos. The bot is currently encountering an authentication error, requiring the implementation of cookie-based authentication to bypass the 'are you a bot' check. This likely involves modifying the bot's code to handle cookie management and integration with yt-dlp's cookie handling capabilities.
A simple telegram Bot, Upload Media File| video To telegram using the direct download link. (youtube, Mediafire, google drive, mega drive, etc)
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All-Url-Uploader is a Telegram bot that simplifies media sharing by allowing users to upload files directly from various online sources, such as YouTube, MediaFire, and Google Drive, using only the download link. This eliminates the need for manual downloads and re-uploads, streamlining the process of sharing media on Telegram.
AI Summary: Debug and fix a bug in the Meriyah JavaScript parser where the end column location (`loc.end.column`) is incorrectly reported for escaped identifiers. The bug manifests when parsing an escaped identifier like `a\u0065`, resulting in an inaccurate column number in the location information. The fix requires understanding the parser's internal workings and how it handles Unicode escapes within identifiers to correct the location tracking.
A 100% compliant, self-hosted javascript parser - https://meriyah.github.io/meriyah
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Meriyah is a fully compliant, self-hostable JavaScript parser written in JavaScript. It addresses the need for a reliable and easily integrated parsing solution, offering developers complete control and avoiding external dependencies.
AI Summary: Refine and polish the existing Commemorative Days Calendar project. This involves code cleanup, refactoring, and potentially making further changes based on identified needs. The goal is to improve code quality, maintainability, and potentially enhance existing features or address minor issues.
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The Calendar-project aims to address the need for efficient scheduling and task management. While specifics are unavailable due to missing project description and README, it likely provides features such as event creation, scheduling, reminders, and potentially calendar sharing or integration with other tools.
AI Summary: Modify the data processing pipeline to remove query parameters from product URLs before uniqueness checks. This prevents duplicate entries caused by tracking parameters added by stores.
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The project's purpose is not defined in the provided information. Without a description or README, it's impossible to summarize its problem-solving capabilities or key features.
AI Summary: Reimplement build-time conflict detection for the Rust PKCS#11 software token (Kryoptic) to prevent simultaneous selection of conflicting features like 'dynamic' and 'fips'. This involves identifying other potentially conflicting feature combinations and ensuring appropriate error messages during compilation.
a pkcs#11 software token written in Rust
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Kryoptic is a PKCS#11 software token implemented in Rust, addressing the need for a secure and flexible alternative to hardware security modules (HSMs). Its key features include strong cryptographic capabilities and a focus on ease of integration with existing systems.
AI Summary: The task involves fixing two bugs related to invoice reports in the Expensify app. The first bug prevents users from deleting empty invoice reports. The second bug allows users to pay empty invoice reports, which should be prevented. The fix requires modifying the application's logic for handling invoice reports, ensuring that empty reports can be deleted and that the payment option is disabled for empty reports.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
More
New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Improve the WordPress Statify plugin's dashboard widget by clarifying the timeframe for displayed statistics (daily vs. total, and widget-configured range), improving number formatting, and adding visual indicators for the 'top list' setting (today or overall).
Statify – statistics plugin for WordPress
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Statify is a WordPress plugin that simplifies the display of website statistics. It provides an easy-to-use interface for visualizing key metrics, eliminating the need for users to access multiple analytics platforms.
AI Summary: The user needs help locating the code responsible for the table of contents (directory) in the Rin blog project so they can add a box to it. This likely involves finding the relevant React component or template file and modifying its HTML/CSS.
⚡Dynamic blog based on Cloudflare Pages + Workers + D1 + R2
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Rin is a dynamic blog platform leveraging Cloudflare's serverless ecosystem (Pages, Workers, D1, R2) to provide a fast and scalable blogging experience. It solves the problem of complex blog setup and maintenance by offering a streamlined, easily deployable solution.
AI Summary: Implement Continuous Integration (CI) logic to digitally sign the macOS application package produced by the F3D build process, eliminating the need for users to manually bypass macOS security warnings. This involves researching and integrating appropriate signing and notarization tools into the existing CI pipeline.
Fast and minimalist 3D viewer.
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f3d is a fast, minimalist 3D viewer supporting various file formats (glTF, USD, STL, etc.), animations, and rendering options including ray tracing. It offers command-line control, configuration files, and a lightweight C++17 library (libf3d) with Python bindings for easy integration.
AI Summary: Debug and fix a bug in version 2.5.0 of the CoCart JWT Authentication WordPress plugin that breaks guest cart sessions. The issue causes a 500 Internal Server Error when unauthenticated users try to access their cart via the API. The task involves investigating changes introduced in version 2.5.0 related to session handling for unauthenticated users, identifying the root cause of the error, and providing a fix or documentation update.
This free add-on for CoCart allows you to authenticate via a simple JWT Token.
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cocart-jwt-authentication is a free CoCart add-on enabling secure user authentication using JSON Web Tokens (JWTs). It simplifies the authentication process by eliminating the need for traditional username/password logins, offering a streamlined and secure alternative.
AI Summary: Debug and fix a bug in the Expensify mobile app where selecting a corrupt file during a scan deactivates the camera. The bug is reproducible on Android and needs to be fixed to allow the camera to remain active after an error, enabling the user to retry file selection. The fix should involve preventing the camera from being deactivated and potentially improving error handling.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a game menu for a simple Pong game built using Python and Pygame. The current game launches directly into gameplay; the menu should provide a pause before the game starts.
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Pong is a classic arcade game recreating the iconic two-player paddle and ball gameplay. It solves the problem of needing a simple, fun, and easily accessible game by providing a clean and intuitive implementation.
AI Summary: The task requires fixing a bug in the `Node::copyAttributes()` method of the QSchematic library. Currently, the `_specialConnectors` list is shallow-copied, leading to potential issues. The solution involves deep-copying the `_specialConnectors` list to ensure proper attribute copying during node duplication.
A library that allows creating diagrams such as flowcharts or even proper engineering schematics within a Qt application.
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QSchematic is a Qt library enabling the creation of various diagrams, including flowcharts and engineering schematics, directly within Qt applications. It solves the problem of needing external tools for diagram generation by providing a built-in solution, enhancing application functionality and user experience.
AI Summary: Refactor the `skore.project` module to `skore._project` to make it a private module, while ensuring the class remains accessible at the `skore` level. This involves renaming the module and potentially adjusting imports and references within the Skore library.
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
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Skore is an open-source Python library designed to streamline the machine learning model development process. It tackles the challenges of model evaluation and selection by providing automated reports, intelligent methodological suggestions, and robust cross-validation analysis, ultimately saving data scientists time and effort.
AI Summary: Correct a typo in the Discord bot's README file. The typo is "plays,their" and needs to be corrected to grammatically correct English, likely "plays, their".
Discord bot for osu!
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Bathbot is a Discord bot providing extensive osu! related features, such as checking recent plays, tracking top scores, and displaying various player statistics. It supports all osu! gamemodes and offers both slash commands and prefix commands, enhancing the Discord experience for osu! players.
AI Summary: Rename the `skore.externals` module to `skore._externals` to make it a private module, effectively hiding it from users of the Skore library. This is a small refactoring task within the Skore open-source Python library for machine learning model development.
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
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Skore is an open-source Python library designed to streamline the machine learning model development process. It tackles the challenges of model evaluation and selection by providing automated reports, intelligent methodological suggestions, and robust cross-validation analysis, ultimately saving data scientists time and effort.
AI Summary: Rename the `skore.sklearn` module to `skore._sklearn` to make it a private, internal module, preventing accidental user access. This is a small refactoring task within the Skore Python library, focusing on code organization and preventing potential user errors.
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
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Skore is an open-source Python library designed to streamline the machine learning model development process. It tackles the challenges of model evaluation and selection by providing automated reports, intelligent methodological suggestions, and robust cross-validation analysis, ultimately saving data scientists time and effort.
AI Summary: Refactor the `skore.utils` module to `skore._utils` to make it a private module, preventing accidental user access. This involves renaming the module and updating any internal references within the Skore library.
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
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Skore is an open-source Python library designed to streamline the machine learning model development process. It tackles the challenges of model evaluation and selection by providing automated reports, intelligent methodological suggestions, and robust cross-validation analysis, ultimately saving data scientists time and effort.
AI Summary: The task requires updating the default CentOS environment used in the Bridgr project from version 7 to version 8, considering that CentOS 7 is end-of-life. This involves investigating current CentOS alternatives (like AlmaLinux or Rocky Linux) and determining the best approach for updating the project's build and testing environments. Guidance from @gregshep is needed to ensure the most effective solution.
Bridging the air-gap for your artifacts
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Bridgr solves the problem of securely transferring artifacts across air-gapped networks. Its key features enable secure transfer and management of files and data between isolated and connected systems, ensuring data integrity and compliance.
AI Summary: Modify the Ocean Navigator's user interface to make the coordinate box on the top right more flexible, allowing it to accommodate negative latitude and longitude values without overlapping or truncating the values. This likely involves adjusting the layout and dimensions of the coordinate box and potentially repositioning related UI elements to prevent overlap.
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
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The Ocean-Data-Map-Project, or Ocean Navigator, is an online tool designed to visualize scientific oceanographic research data, making complex datasets more accessible and understandable to researchers and the public. Key features include interactive maps and data visualizations for improved exploration and analysis.
AI Summary: Implement embedding search functionality for the Cairn project, allowing agents to efficiently navigate large repositories using natural language. This involves integrating with a vector database (potentially supporting multiple providers) and utilizing GitHub webhooks for real-time updates of the embedding store. Prior work exists, focusing on Voyage-code-3 embeddings and Pinecone, but the solution should be generalized for broader compatibility.
A python-based background agent system for automating end-to-end software engineering tasks, direct from your github repos.
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Cairn is a Python-based background agent that automates end-to-end software engineering tasks directly from GitHub repositories. It solves the problem of repetitive manual processes by providing a streamlined, automated workflow, improving developer efficiency and reducing errors.
AI Summary: Develop a front-end form for editing loan information within a library system for popular tutoring programs. The form should be responsive and meet specified requirements. The project uses React, Next.js, Tailwind CSS, and other technologies as outlined in the project README.
📖 Front-end de sistema de biblioteca para o contexto de Cursinhos Populares
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biblioteca_cursinho_frontend is a front-end application for a library system designed specifically for popular preparatory courses (Cursinhos Populares). It addresses the need for efficient library management within this context, providing features for cataloging, searching, and managing resources.
AI Summary: Debug the Ocean Navigator's tile server. At zoom level 8, the basemap tiles are missing, resulting in an empty data layer. The problem could be in either the frontend React Map component or the backend Flask API endpoint responsible for serving tiles. The task involves investigating the tile request `/api/v2.0/tiles/topo/8/83/88?shaded_relief=false&projection=EPSG:3857`, examining the relevant code in both the frontend and backend, and identifying and fixing the bug causing the missing tiles at zoom level 8.
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
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The Ocean-Data-Map-Project, or Ocean Navigator, is an online tool designed to visualize scientific oceanographic research data, making complex datasets more accessible and understandable to researchers and the public. Key features include interactive maps and data visualizations for improved exploration and analysis.
AI Summary: The task is to fix a bug in a Ruby on Rails web application where the order of board games displayed on the homepage is inconsistent when multiple games have the same discount. The solution involves adding an ordering clause to the database query that fetches the games to ensure a stable sort order, even when discounts are identical.
A web app that helps board game buyers find the best prices available in local game stores.
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turnoextra_app is a web application designed to help board game enthusiasts locate the best prices for games at nearby local game stores. It solves the problem of searching multiple stores individually by aggregating price information in one convenient location, saving users time and money.
AI Summary: Debug and fix a styling issue in the Workspaces section of the Expensify app. The loading bar is currently 1px thick instead of the specified 2px. The fix requires identifying the CSS responsible for the loading bar's thickness and adjusting it accordingly. Testing should be performed on Windows Chrome and MacOS Chrome/Safari.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a visual workout streak indicator in the header, showing the last 5 days with filled (green) squares for workout days and outlined squares for non-workout days. This involves fetching workout data (potentially via API), date manipulation, and creating a new React component.
🏋 Modern open-source fitness coaching platform. Create workout plans, track progress, and access a comprehensive exercise database.
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workout-cool is an open-source fitness platform designed to simplify workout planning and progress tracking. Key features include customizable workout plan creation, progress monitoring tools, and a vast exercise database, solving the problem of managing fitness routines effectively.
AI Summary: Debug and fix a bug in the Expensify app where the 'Submit' button changes color to gray on a member's side when an admin splits an expense. The bug is reproducible on Android mWeb Chrome and Windows Chrome. The fix requires understanding the Expensify app's architecture, including its use of Onyx for data management and React Native for UI development. The solution should ensure the 'Submit' button remains green for members even after an admin splits the expense.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a configuration option in the Camo Faces Redux Arma 3 mod allowing users to select between using ACE interaction (self-actions) or a CBA context menu to access and apply face paint items. This involves modifying the mod's code to provide the selectable option and implement the alternative menu interaction.
Camo Faces Redux is a Rewrite of the Camo Faces Mod, which enables Players to camouflage their faces in Arma3
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CamoFacesRedux is a revamped Arma 3 mod that allows players to customize their in-game facial appearance for better camouflage and immersion. It offers improved functionality and performance compared to its predecessor, Camo Faces, providing a wider range of customization options.
AI Summary: This task requires implementing a new worker in the Bridgr tool to handle the creation of Debian package repositories (.deb). This likely involves researching the necessary Debian package management tools and integrating them into Bridgr's existing framework, mirroring the functionality of the existing CentOS worker. The worker will need to handle downloading .deb packages, generating repository metadata, and potentially supporting authentication for private repositories.
Bridging the air-gap for your artifacts
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Bridgr solves the problem of securely transferring artifacts across air-gapped networks. Its key features enable secure transfer and management of files and data between isolated and connected systems, ensuring data integrity and compliance.
AI Summary: Debug and fix a caching issue in the Calkit Cloud's Tanstack Query implementation that prevents the project TODO list from updating after a new issue is posted. This likely involves investigating and adjusting the cache invalidation or update mechanisms within the Tanstack Query setup.
The Calkit cloud system.
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Calkit Cloud is a project whose purpose is currently undefined due to missing information. Without further details from the README or project documentation, a more specific summary cannot be provided.
AI Summary: Develop a secure credential management package for the FFlow workflow automation library. This involves creating an abstraction for storing and retrieving credentials (API keys, tokens, passwords), supporting scoped credentials, credential rotation, and providing secure usage guidelines. The package should integrate seamlessly with FFlow's workflow execution and leverage existing dependency injection.
FFlow is a lightweight, extensible workflow automation library for .NET with fluent, code-first syntax. Built for CI/CD, DevOps, and backend orchestration, it supports dependency injection, branching logic, and step decorators—no XML or DSL required.
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FFlow is a .NET workflow automation library simplifying CI/CD, DevOps, and backend orchestration. Its fluent, code-first syntax, coupled with features like dependency injection and branching logic, eliminates the need for XML or DSL configuration, resulting in cleaner, more maintainable workflows.
AI Summary: The task involves removing console.log statements from a Next.js project by configuring the Next.js compiler to exclude 'error', 'warn', and 'info' level logs. This is done to improve the performance and reduce the size of the production build.
The most advanced pandal hopping experience*
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PujoAtlasKol-Web is a web application designed to enhance the Durga Puja pandal hopping experience in Kolkata. It aims to solve the problem of finding and navigating to pandals efficiently, providing users with a comprehensive map, detailed pandal information, and potentially other features like reviews and ratings.
AI Summary: The task involves creating a Docker Devcontainer image for the SCORE project, containing pre-installed tools (Python, Graphviz, Bazelisk, Bazel autocompletion) to streamline the development environment setup for contributors. This includes creating a new GitHub repository, a Dockerfile, GitHub Actions workflow for building and pushing the image to GHCR, and integrating it into at least one SCORE repository. Testing the functionality within the container is crucial.
Score project main repository
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The 'score' project lacks a defined description and README, preventing a clear summary of its purpose and features. Without further information, its problem-solving capabilities and key functionalities remain unknown.
AI Summary: Implement a new FFlow package, `FFlow.Steps.Script`, containing steps to execute PowerShell and Bash scripts. This involves creating a generic interface for script execution, implementing specific steps for each scripting language, handling output capture (stdout, stderr), error management, timeouts, cancellation, security considerations, and writing comprehensive tests. Documentation of usage and language-specific options is also required.
FFlow is a lightweight, extensible workflow automation library for .NET with fluent, code-first syntax. Built for CI/CD, DevOps, and backend orchestration, it supports dependency injection, branching logic, and step decorators—no XML or DSL required.
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FFlow is a .NET workflow automation library simplifying CI/CD, DevOps, and backend orchestration. Its fluent, code-first syntax, coupled with features like dependency injection and branching logic, eliminates the need for XML or DSL configuration, resulting in cleaner, more maintainable workflows.
AI Summary: Create a new markdown file containing an iOS video example for animation accessibility criteria, following the project's established file structure and using the `create-md` script. The video should be added to the existing Animation criteria page on the MagentaA11y website.
Magenta A11y is a tool built to simplify the process of accessibility testing.
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magentaA11y streamlines accessibility testing, simplifying the process of identifying and addressing accessibility issues in web applications. Key features focus on ease of use and providing clear, actionable feedback to developers.
Bridging the air-gap for your artifacts
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Bridgr solves the problem of securely transferring artifacts across air-gapped networks. Its key features enable secure transfer and management of files and data between isolated and connected systems, ensuring data integrity and compliance.
AI Summary: Implement reusable workflow steps for HTTP operations (GET, POST, PUT, DELETE) within the FFlow .NET workflow automation library. These steps should support headers, query parameters, request body serialization (JSON, XML), response parsing, and integration with the existing WorkflowContext. Thorough unit and integration tests, along with usage documentation and examples, are also required.
FFlow is a lightweight, extensible workflow automation library for .NET with fluent, code-first syntax. Built for CI/CD, DevOps, and backend orchestration, it supports dependency injection, branching logic, and step decorators—no XML or DSL required.
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FFlow is a .NET workflow automation library simplifying CI/CD, DevOps, and backend orchestration. Its fluent, code-first syntax, coupled with features like dependency injection and branching logic, eliminates the need for XML or DSL configuration, resulting in cleaner, more maintainable workflows.
Bridging the air-gap for your artifacts
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Bridgr solves the problem of securely transferring artifacts across air-gapped networks. Its key features enable secure transfer and management of files and data between isolated and connected systems, ensuring data integrity and compliance.
AI Summary: Update the project's robots.txt file to disallow access to the CDN/CGI endpoint, as per Cloudflare's recommendation to prevent indexing issues. This involves modifying the robots.txt file to include a `Disallow: /cdn-cgi/` directive.
The most advanced pandal hopping experience*
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PujoAtlasKol-Web is a web application designed to enhance the Durga Puja pandal hopping experience in Kolkata. It aims to solve the problem of finding and navigating to pandals efficiently, providing users with a comprehensive map, detailed pandal information, and potentially other features like reviews and ratings.
AI Summary: Debug and fix the 'back' button functionality on all wishlist-related pages within the Imhotep Financial Manager web application. The current 'back' button on the 'add new wish' page redirects to the incorrect URL (/wishlist instead of /filter_year_wishlist), and this issue is replicated across other wishlist pages. The fix requires identifying the source of the incorrect URL redirection and correcting it to ensure proper navigation.
financial manager webapp to manage your deposits and withdrawals and track your transactions and put your wishlist and set a financial target for every month
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imhotep_finance is a web application designed to simplify personal finance management. It allows users to track deposits, withdrawals, and transactions, while also enabling them to create wishlists and set monthly financial targets.
AI Summary: Debug a TensorRT deployment issue in a custom Gradio app using the F5-TTS model. The issue involves an error related to noise shape incompatibility with the TRT engine and results in NaN values in the generated audio. The task requires analyzing the provided custom configuration file, understanding the F5-TTS model architecture and TensorRT integration, and identifying the root cause of the NaN values and the noise shape mismatch.
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
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F5-TTS is a text-to-speech model that addresses fluency and faithfulness issues in speech synthesis. Key features include its use of a Diffusion Transformer with ConvNeXt V2 for faster training and inference, and a novel Sway Sampling strategy for improved performance during inference. It offers various inference methods through a Gradio app, CLI, and custom options.
AI Summary: Implement undo/compensation logic in the FFlow workflow library. This involves creating an interface or method for steps to define compensation actions, configuring compensation in the workflow builder, extending the runtime to execute compensation on failures, ensuring correct compensation order, and adding comprehensive unit tests and documentation.
FFlow is a lightweight, extensible workflow automation library for .NET with fluent, code-first syntax. Built for CI/CD, DevOps, and backend orchestration, it supports dependency injection, branching logic, and step decorators—no XML or DSL required.
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FFlow is a .NET workflow automation library simplifying CI/CD, DevOps, and backend orchestration. Its fluent, code-first syntax, coupled with features like dependency injection and branching logic, eliminates the need for XML or DSL configuration, resulting in cleaner, more maintainable workflows.
AI Summary: The task involves cleaning up the `Chart.yaml` file in the KubeStellarUI project. This includes removing unnecessary comments and replacing the `version` and `appVersion` values with placeholders that will be set by a GitHub workflow during chart publishing. The task depends on the merging of PR #1115 and is related to issue #1114.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Implement workflow persistence for the FFlow library, allowing long-running workflows to be paused and resumed. This involves creating interfaces for serialization/deserialization, implementing in-memory persistence, supporting pluggable providers (e.g., file system, database), extending the workflow runtime to save state, enabling workflow resumption, providing example implementations, writing integration tests, and documenting the feature.
FFlow is a lightweight, extensible workflow automation library for .NET with fluent, code-first syntax. Built for CI/CD, DevOps, and backend orchestration, it supports dependency injection, branching logic, and step decorators—no XML or DSL required.
More
FFlow is a .NET workflow automation library simplifying CI/CD, DevOps, and backend orchestration. Its fluent, code-first syntax, coupled with features like dependency injection and branching logic, eliminates the need for XML or DSL configuration, resulting in cleaner, more maintainable workflows.
AI Summary: The task involves identifying and fixing a white border appearing in the EduLite platform's layout. This requires inspecting the code (likely in `App.jsx` or related layout components), pinpointing the source of the border (margin, padding, border, or extra div), and adjusting the CSS to remove it while maintaining responsiveness and compatibility with light/dark modes. The solution should be tested locally and submitted via a pull request.
A lightweight, open-source digital education platform built for accessibility, simplicity, and student-first experiences – even on slow internet.
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EduLite is a lightweight, open-source platform designed to address the challenges of digital education accessibility, particularly in areas with limited internet bandwidth. Its key features include simplicity of use and a focus on student-centric experiences, ensuring a smooth learning process for all.
AI Summary: Implement a console event logger for the FFlow workflow automation library. This involves creating a class that implements the IFlowEventListener interface and logs workflow and step events (start, completion, failure) to the console, including timestamps. Example usage should be added to the documentation.
FFlow is a lightweight, extensible workflow automation library for .NET with fluent, code-first syntax. Built for CI/CD, DevOps, and backend orchestration, it supports dependency injection, branching logic, and step decorators—no XML or DSL required.
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FFlow is a .NET workflow automation library simplifying CI/CD, DevOps, and backend orchestration. Its fluent, code-first syntax, coupled with features like dependency injection and branching logic, eliminates the need for XML or DSL configuration, resulting in cleaner, more maintainable workflows.
AI Summary: Modify the GLycan Analysis Module (GLAM) to create and download a single zip file containing all generated files instead of triggering multiple individual downloads. This involves adapting existing zip file creation code from the PGFinder Fragment Generator to integrate into GLAM.
GLycan Analysis Module
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GLAM (Glycan Analysis Module) is a tool designed to streamline the analysis of glycans. It offers features to simplify complex data processing and interpretation, addressing the challenges associated with glycan structure elucidation and characterization.
AI Summary: Add sound effects (SFX) for player actions in the Robot Rumble game. This includes jump, taking damage, death, and potentially movement. The SFX will enhance the player experience and feedback.
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The project's purpose and features are undefined due to missing information in the provided description and README. Therefore, a concise summary cannot be provided.
AI Summary: Implement support for searching for a configuration file (cliff.toml) in a '.config' directory within the project root, in addition to the current project root search. This improves project organization and enhances compatibility with the dot-config standard, potentially improving the visibility of the project's README on platforms like GitHub.
A highly customizable Changelog Generator that follows Conventional Commit specifications ⛰️
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git-cliff is a changelog generator that addresses the challenge of creating consistent and informative changelogs. It leverages Conventional Commits for structured input and offers extensive customization options to tailor the output to specific project needs.
AI Summary: Update the Kubernetes kubectl container image version in the KubeStellar UI Helm chart to match the version used in the main KubeStellar project. This involves modifying the `KUBECLT_VERSION` value in the `chart/values.yaml` file, ensuring consistency and potentially improving deployment speed. The task depends on the successful merging of a related pull request (#1115).
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: The task is to debug and fix a reported bug in the Espanso text expander's installation process on Fedora Wayland. The issue is that the documented installation steps, specifically the `build-binary` task, are failing, leading to a broken installation experience. The solution likely involves investigating the build process, identifying the root cause of the failure (potentially related to Wayland-specific dependencies or build configurations), and updating the documentation or the build process itself to resolve the issue.
Cross-platform Text Expander written in Rust
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espanso is a cross-platform text expander written in Rust that solves the problem of repetitive typing by allowing users to define shortcuts for frequently used phrases or snippets. Key features include cross-platform compatibility, a user-friendly configuration system, and support for advanced features like scripting and dynamic expansion.
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The project's purpose and features are undefined due to missing information in the provided description and README. Therefore, a concise summary cannot be provided.
AI Summary: Improve the docstrings of three Python classes (`PredictionErrorDisplay`, `PrecisionRecallCurveDisplay`, `RocCurveDisplay`) within the `skore` library by replacing parameter names written as plain text strings with backticks (e.g., changing "fpr" to `fpr`). This involves modifying the docstrings to use the correct markdown formatting for code elements.
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
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Skore is an open-source Python library designed to streamline the machine learning model development process. It tackles the challenges of model evaluation and selection by providing automated reports, intelligent methodological suggestions, and robust cross-validation analysis, ultimately saving data scientists time and effort.
AI Summary: The task involves refactoring the KubeStellarUI project to make Redis a dependent chart instead of directly managing it within the UI chart's configuration. This requires moving Redis-related configurations from the `values.yaml` and `templates/` directories into a dependency declaration in `Chart.yaml`. The change depends on a separate pull request (#1115) being merged first.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Implement the `Hash` trait for several identifier types within the Miden protocol (AccountId, AccountIdPrefix, NoteId, TransactionId, BatchId, Nullifier, potentially NoteTag) to enable their use as keys in HashMaps. This involves deriving the trait for most types, but requires a manual implementation for AccountIdV0. The implementation should be noted as unstable.
Core components of the Miden protocol
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Miden-base provides the foundational building blocks for the Miden protocol, focusing on efficient and secure computation. It offers core components necessary for building decentralized applications and systems requiring verifiable computation.
AI Summary: The task is to fix a bug in a credit card point redemption tracking web application where redemptions with infinite Cents Per Point (CPP) values (representing free awards) are incorrectly considered as the best redemptions. The fix requires modifying the frontend application's logic to exclude these infinite CPP values from the best redemption calculations.
A web application to track credit card point redemptions and calculate Cents Per Point (CPP) values to optimize your rewards strategy.
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Cents-Per-Point is a web application designed to help users maximize their credit card rewards by tracking point redemptions and calculating the Cents Per Point (CPP) value of each redemption. This allows users to make informed decisions and optimize their rewards strategy for maximum value.
AI Summary: Create a plan outlining the start and end goals for a GORP agent's development during the week of June 23rd-27th, breaking down the steps required to achieve the end goal across the workdays.
Reference implementation for a GORP agent. Goal-Oriented Response Planning (GORP) is an architecture for an adaptive, autonomous cyberdefense agent.
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The gorp project provides a reference implementation for a Goal-Oriented Response Planning (GORP) agent, addressing the need for adaptive and autonomous cyberdefense. It features an architecture designed to enable proactive and intelligent responses to cyber threats.
AI Summary: The task involves creating a GitHub workflow to automate the publishing of charts whenever a new release of the KubeStellarUI project is made. This workflow should mirror the existing workflows in the ks and kflex projects and requires the completion of two other issues (#1112 and #1113) as prerequisites.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: The task is to create a GitHub workflow for automatically building and publishing Docker container images of the KubeStellar UI upon new releases. This workflow should mirror the existing workflows in the main Kubestellar and Kflex projects.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Connect at least two components of the GORP (Goal-Oriented Response Planning) cyberdefense agent, enabling them to exchange information. This involves designing and implementing the communication mechanism between the chosen components.
Reference implementation for a GORP agent. Goal-Oriented Response Planning (GORP) is an architecture for an adaptive, autonomous cyberdefense agent.
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The gorp project provides a reference implementation for a Goal-Oriented Response Planning (GORP) agent, addressing the need for adaptive and autonomous cyberdefense. It features an architecture designed to enable proactive and intelligent responses to cyber threats.
AI Summary: The task involves moving the KubeStellar UI Helm chart from a separate repository to the main KubeStellar UI repository. This includes relocating Helm chart files (values.yaml, Chart.yaml, templates, .helmignore) into a new 'chart/' subdirectory and creating a new documentation file (chart.md) within the 'docs/' directory of the main repository.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: This task involves integrating the open-source i18n-check CLI tool into the activist project. This includes removing existing i18n checks, adding i18n-check as a dependency, configuring it via a YAML file, testing its functionality, and updating the CI workflow to utilize the new tool.
An open-source activism platform
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Activist is an open-source platform designed to empower social movements and facilitate collaborative activism. It aims to solve the problem of fragmented communication and organization within activist groups by providing tools for communication, event planning, and resource sharing.
AI Summary: The task is to modify the Kestra core's `PluginScanner` class to recursively scan subfolders within the `doc/guides` directory when generating documentation, resolving an issue where subfolders are not currently supported. This involves changing the `Files.walk` depth limit and potentially adjusting the string manipulation to handle nested paths correctly.
:zap: Workflow Automation Platform. Orchestrate & Schedule code in any language, run anywhere, 500+ plugins. Alternative to Zapier, Rundeck, Camunda, Airflow...
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Kestra is an open-source workflow automation platform that simplifies the orchestration of both scheduled and event-driven workflows. Its key features include a declarative YAML interface, a rich plugin ecosystem supporting various languages and integrations, and an intuitive UI for building and managing workflows.
AI Summary: Implement toast notifications using a library like `react-toastify` to provide feedback to the user on actions such as successfully joining a room or encountering invalid input. This involves integrating the chosen library into the React frontend and displaying appropriate messages based on application events.
The Anonymous Question Asking Platform is a real-time, web-based application that facilitates anonymous interactions between students and teachers.
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The Anonymous Question Asking Platform is a real-time web application enabling students to anonymously ask teachers questions, fostering a more open and comfortable learning environment. Key features include real-time question submission and response, ensuring immediate feedback and promoting active participation.
Comunity driven, opensource bike trainer app.
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4Form is a community-driven, open-source bike trainer app designed to enhance indoor cycling workouts. It addresses the lack of engaging and customizable training options by providing a platform for users to create and share personalized workout routines and track their progress.
AI Summary: Debug and fix a Discord bot that sends notifications in batches due to suspected Discord API rate limits. This involves analyzing the bot's code, identifying the rate-limiting issue, and implementing a solution to send messages more evenly, potentially using techniques like asynchronous programming or rate limit handling libraries.
🚨 A Discord bot to send real-time notificaitons for Home Front Command (Pikud Ha'Oref) alerts
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HFCNotificator is a Discord bot that addresses the need for timely alerts regarding Home Front Command (Pikud Ha'Oref) warnings. It provides real-time notifications directly to Discord servers, ensuring users receive critical information quickly and efficiently.
AI Summary: The task involves reviewing three files within the OASIS CSAF documentation GitHub repository and deciding whether to keep or remove them as part of a website technology stack update. The decision requires consideration of the files' relevance to the project's overall goals and the new website's requirements.
OASIS TC Open Repository: A GitHub repository for management of non-normative information about the work of the CSAF Technical Committee, including documentation
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The csaf-documentation project manages non-normative information related to the CSAF Technical Committee's work. It uses a GitHub repository to centralize documentation and other resources, improving accessibility and collaboration for the community.
AI Summary: Implement user slug functionality, including adding a slug field to the User model (database and API), implementing validation (length, characters, uniqueness), updating the signup/profile form for slug input, adding frontend validation and UX for slug availability, and reserving certain keywords.
🏋 Modern open-source fitness coaching platform. Create workout plans, track progress, and access a comprehensive exercise database.
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workout-cool is an open-source fitness platform designed to simplify workout planning and progress tracking. Key features include customizable workout plan creation, progress monitoring tools, and a vast exercise database, solving the problem of managing fitness routines effectively.
AI Summary: Enhance the translation database import functionality to allow direct import of an extracted folder's contents, bypassing the time-consuming zip file extraction process. This involves modifying the existing import logic to handle a directory path as input, recursively processing files within the specified directory.
A VSCode extension that is used for assisting translation work.
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The `translation-assistant` VSCode extension streamlines the translation workflow by providing features to aid translators. It addresses the challenges of managing translations within a code editor, improving efficiency and accuracy.
AI Summary: Create a new route for managing foods, allowing users to add new food items with name, calorie count, and basic nutritional information. This involves designing a user interface for adding foods, implementing the route, and updating the application's navigation.
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The project 'mealstrom' lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Debug and fix a Spring Boot REST API endpoint that returns a 401 Unauthorized error when using CompletableFuture and @PreAuthorize annotation. The issue stems from the SecurityContext not being propagated to the asynchronous task, resulting in an anonymous context within the service method. The solution involves correctly configuring the thread pool executor to maintain the security context across threads.
Spring REST Api for managing client requests
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The `request_api_spring` project is a Spring-based REST API designed to efficiently manage client requests. It provides endpoints for creating, retrieving, updating, and deleting requests, streamlining request handling and improving overall workflow.
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Without access to the project's code, description, or README, a specific summary cannot be provided. The project's purpose and features are unknown based on the provided information. Further details are needed for a meaningful summary.
AI Summary: Refactor four unit test files to remove unnecessary for loops in the `test_constructor` function. The change involves simplifying the assertion checks by directly accessing the dataframe instead of iterating over a list containing only that dataframe.
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
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Skore is an open-source Python library designed to streamline the machine learning model development process. It tackles the challenges of model evaluation and selection by providing automated reports, intelligent methodological suggestions, and robust cross-validation analysis, ultimately saving data scientists time and effort.
AI Summary: Add a new mission to the gamified political activity platform: "View the Team Mirai homepage". This involves creating a new mission entry in the application's database and potentially updating the user interface to display this mission. The mission should be easily accessible for new users as an introductory step.
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
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Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: The task involves updating the Ubuntu Core documentation by replacing existing Markdown links with MyST references. This requires editing both the source and destination pages to incorporate MyST's {ref} links, ensuring the documentation remains functional even if page locations change. The task is suitable for beginners and can be worked on collaboratively.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: Integrate the open-source CLI tool `ts-backend-check` into the activist project. This involves adding it as a development dependency to the backend, and creating a GitHub Actions workflow to run the CLI against backend models and corresponding frontend type files whenever changes are made to either.
An open-source activism platform
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Activist is an open-source platform designed to empower social movements and facilitate collaborative activism. It aims to solve the problem of fragmented communication and organization within activist groups by providing tools for communication, event planning, and resource sharing.
AI Summary: The task is to debug and fix a bug in the PyWard linter's `--fix` functionality for unused imports. Currently, when removing unused imports from a `from` clause, the entire clause is removed instead of just the unused imports. The fix should selectively remove only the unused imports, leaving the remaining imports intact. The error handling needs improvement to prevent crashes when encountering invalid syntax during the fix process.
A lightweight command-line linter for Python code.
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PyWard is a lightweight command-line tool that helps improve Python code quality by linting it for common style and potential errors. Its focus is on ease of use and speed, making it ideal for quick checks and integration into existing workflows.
AI Summary: Debug and fix an issue in the Android port of a dialogue display framework mod where the '$b' command (forcing a tap to continue dialogue) causes visual glitches such as hidden portraits and misplaced name tags. The fix needs to ensure the dialogue display remains visually consistent after the user taps to continue.
Port of aedenthorn's Dialogue Display Framework mod.
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This project is a port of aedenthorn's Dialogue Display Framework mod, providing a consistent and improved dialogue display system for games. It solves the problem of inconsistent or poorly implemented dialogue presentation by offering a customizable and easily integrated framework.
AI Summary: Add a new mission to the platform that requires users to visit a specific policy website (idobata). The mission has a difficulty of 1, a completion limit of 1, and requires no submission; completion is automatic upon visiting the URL.
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
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Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: Implement caching mechanisms within the UT Austin Marketplace application to improve website performance. This likely involves integrating a caching library (like SWR or React Query) to manage data fetching from the Supabase backend for listings, user profiles, and messages. Consider caching strategies to balance freshness and performance, potentially using different TTLs (Time To Live) for various data types.
A modern, full-featured marketplace web application for the UT Austin community. Built with Next.js, React, Supabase, and Tailwind CSS.
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UT-Marketplace is a web application designed to connect the UT Austin community by providing a platform for buying and selling goods and services. Key features include a user-friendly interface built with Next.js, React, Supabase, and Tailwind CSS, enabling seamless transactions and community interaction.
AI Summary: The task is to find a designer to improve the user interface and user experience (UI/UX) of the UT Austin marketplace web application. This involves collaborating with the designer to ensure the design aligns with the existing functionality and tech stack (Next.js, React, Tailwind CSS). The goal is to create a more visually appealing and user-friendly marketplace.
A modern, full-featured marketplace web application for the UT Austin community. Built with Next.js, React, Supabase, and Tailwind CSS.
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UT-Marketplace is a web application designed to connect the UT Austin community by providing a platform for buying and selling goods and services. Key features include a user-friendly interface built with Next.js, React, Supabase, and Tailwind CSS, enabling seamless transactions and community interaction.
AI Summary: The task involves gathering metadata about the 'slipshow' project according to the instructions in the NGIpkgs contributing guide and adding it to a specified issue on GitHub. This requires familiarity with the contributing guide and the project itself.
Nix packages and services for projects supported through the NGI program
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ngipkgs provides Nix packages and services for projects within the Next Generation Internet (NGI) program. This simplifies dependency management and deployment, ensuring reproducible builds and consistent environments across different NGI projects.
AI Summary: Investigate and debug a reported issue where the 'New Project' button is missing from the Super Productivity app's project view on a touchscreen device running Manjaro Linux. The issue needs reproduction, potential causes identified (e.g., UI rendering, OS compatibility, or a bug in a specific version), and a solution implemented (if possible).
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
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Super Productivity is a powerful todo list application designed to boost productivity by combining timeboxing and time tracking features. Its key strength lies in its integrations with popular project management tools like Jira, GitLab, GitHub, and Open Project, allowing for seamless task management across platforms.
AI Summary: Implement a simple HTML5 pressure test on the Drawpile browser start page using JavaScript to allow users to verify pen pressure functionality before launching the full application. This involves creating a pressure-sensitive box that displays a message confirming pressure detection based on varying pen event pressure levels. The implementation will be within the existing `init.js` file and will not require WebAssembly interaction.
A collaborative drawing program
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Drawpile is a collaborative drawing program that solves the problem of needing a shared, real-time whiteboard for multiple users. Its key features include simultaneous drawing, various brush tools, and easy sharing capabilities, making it ideal for brainstorming, remote collaboration, and casual fun.
AI Summary: Investigate a bug in Konveyor AI (Kai) where a previous code fix is unintentionally reverted by the LLM when addressing subsequent issues. This involves reproducing the bug using a specific codebase and version, adding automated tests to prevent regression, and potentially improving the LLM's context understanding to avoid similar issues in the future.
Konveyor AI - static code analysis driven migration to new targets via Generative AI
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Kai (Konveyor AI) automates the migration of codebases to new targets using static code analysis and generative AI. It solves the problem of complex and time-consuming manual code refactoring by automatically adapting code to different environments and frameworks.
AI Summary: Implement `is*` type predicate APIs in the Valype project, as discussed in issue #26. This involves adding functions that act as type guards, allowing for runtime type checking based on the generated validators.
Valype = Validate + Type. Automatically generates runtime validators from TypeScript type definitions.
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Valype automates the creation of runtime validators for TypeScript projects. By leveraging existing type definitions, it eliminates the need for manual validator implementation, saving development time and reducing errors.
AI Summary: Develop a comprehensive utility module for the Spherre Protocol frontend to simplify and improve type safety when interacting with StarkNet smart contracts. This involves creating TypeScript type definitions, argument resolution utilities, custom React hooks for read and write operations using `starknet-react`, token value conversion helpers, and backend API utility functions. All components must be well-documented and tested.
The Frontend and Backend of Spherre Protocol
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Spherre-dapp is the frontend and backend implementation of the Spherre Protocol. It solves the problem of [insert problem Spherre solves here, e.g., secure and decentralized data storage/sharing] by providing [insert key features, e.g., a user-friendly interface and robust backend infrastructure].
AI Summary: The Storybook v9.0.12 release has a bug where it fails to detect Bun as the package manager in monorepo projects because it searches for the lock file in the wrong directory. The task is to fix this bug by modifying the package manager detection logic in Storybook's code to correctly identify Bun and its lock file location in monorepo setups.
Storybook is the industry standard workshop for building, documenting, and testing UI components in isolation
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Storybook solves the problem of efficiently building, documenting, and testing UI components in isolation. Its key features include a dedicated development environment for components, interactive component documentation, and testing capabilities, streamlining the UI development workflow.
AI Summary: Design a type interface for pre-configured meals (breakfast, lunch, dinner, snacks) within a Vue.js application using Pinia for state management and Tailwind CSS for styling. This involves defining the data structure to represent meals, including their components (foods) and potentially nutritional information.
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The project 'mealstrom' lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Integrate the FatSecret API into a Tauri application's Rust backend to allow users to search for foods. This involves securely handling API credentials within the Rust layer, preventing exposure to the frontend Vue.js application. The frontend will utilize a DaisyUI input component to facilitate user searches.
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The project 'mealstrom' lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
A repository for testing GH Actions
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The `test-actions` project is a repository dedicated to testing GitHub Actions workflows. It provides a space for experimenting with and verifying the functionality of various GitHub Actions, aiding in the development and debugging of automated processes.
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This project, Foundation-of-C-programming, is designed to teach fundamental C programming concepts. It likely provides exercises and examples to help learners grasp core programming principles and build a solid foundation in the C language.
AI Summary: Update the project README to include a checklist of team members, marking their participation. Currently, only @Yashwini001 is marked as participating; the remaining team members need to be checked or unchecked based on their involvement.
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Insufficient project information is provided to create a meaningful summary. The project description and README are undefined, preventing a description of its problem-solving capabilities and key features.
AI Summary: The task is to implement Jupyter code generation for the `Pivot` type in the Kotlin DataFrame library. This involves ensuring that when a `pivot` operation is performed on a DataFrame within a Jupyter Notebook environment, the resulting DataFrame's columns are correctly accessible in subsequent code cells. The solution should mirror the approach used to resolve a similar issue (https://github.com/Kotlin/dataframe/issues/1221).
Structured data processing in Kotlin
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The `dataframe` project provides a Kotlin library for efficient structured data processing. It solves the problem of handling and manipulating large datasets in Kotlin by offering a DataFrame-like API with features for data manipulation, transformation, and analysis.
AI Summary: Implement a settings route in a Tauri, Vue 3, and TypeScript application. This route should allow users to toggle between dark and light mode, update their username, and select a default screen to load on application startup. The application uses Pinia for state management and Tailwind CSS with DaisyUI for styling.
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The project 'mealstrom' lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement CGI (Common Gateway Interface) functionality into the existing WebServ project. This involves correctly handling PATH_INFO, chunking, EOF detection for both request and response bodies, and executing the CGI script (e.g., php-CGI, Python) with the requested file as an argument in the correct working directory. The server should support a single CGI at a time.
Main repository to code our webserv.
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Webserv is a project focused on creating a web server. It aims to solve the problem of needing a reliable and customizable web server solution. Key features are yet to be defined as the project is in its early stages.
AI Summary: Implement a configuration mechanism for the Carbonara project's enrichment modules, allowing users to specify which modules to use, their order, and their parameters via a YAML configuration file. The configuration should be easily accessible within the Spark job and ideally leverage existing configuration management techniques.
Enrichment pipeline for CUR / FOCUS reports which adds energy, water and carbon estimates
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The carbonara project is an enrichment pipeline designed to enhance CUR/FOCUS reports by integrating energy, water, and carbon usage estimations. This addresses the need for more comprehensive environmental impact assessments within these reports, providing key insights into resource consumption.
AI Summary: Fix a frontend rendering issue in a Vue.js application where horizontal and vertical scrollbars appear unexpectedly in the Brave browser. The task involves debugging the CSS or layout to remove the unnecessary scrollbars without affecting other browser compatibility.
Content-agnostic torrent site & tracker framework
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Arcadia is a framework for building content-agnostic torrent sites and trackers, solving the problem of needing separate infrastructure for different types of torrent content. Its key feature is its flexibility and adaptability to various content types without requiring significant code changes.
AI Summary: Center the logo horizontally within the Header component of a React application using Styled Components, ensuring responsiveness across different screen sizes without negatively impacting other header elements. This involves modifying CSS or layout to achieve the correct alignment.
Stark Overflow is a decentralized Q&A platform inspired by Stack Overflow, built on the StarkNet blockchain. This project aims to provide a transparent, community-driven knowledge-sharing space with financial incentives for those who contribute quality answers.
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Stark Overflow is a decentralized Q&A platform leveraging StarkNet to create a transparent and incentivized knowledge-sharing environment. It addresses the lack of transparency and community ownership in traditional Q&A platforms by rewarding high-quality contributions with financial incentives.
AI Summary: Update the project's onboarding documentation (Onboarding.md) to include clearer instructions, specifically addressing Docker setup for the dashboard and backend, and adding a section on Redis configuration for the backend.
KernelCI web dashboard
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The KernelCI web dashboard provides a user-friendly interface for monitoring the status and results of KernelCI builds. It offers a centralized view of test results, facilitating efficient identification and resolution of build failures and improving the overall kernel development process.
AI Summary: Implement a `log_likelihood` method for the `LinearGaussianBayesianNetwork` class in the pgmpy Python library, mirroring the functionality already added (or planned) for other Bayesian network types. This involves calculating the log-likelihood of a dataset given a fitted Linear Gaussian Bayesian Network model.
Python Library for Causal and Probabilistic Modeling using Bayesian Networks
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pgmpy is a Python library that addresses the need for efficient causal and probabilistic modeling. It leverages Bayesian Networks to represent and reason with uncertainty, offering features for model creation, inference, and parameter learning.
AI Summary: Translate the missing "acceptTerms" key into Greek for the Keycloak login section. This involves finding the appropriate properties file, adding the Greek translation ("Αποδοχή Όρων" or similar), and verifying the translation works correctly within the application.
Open Source Identity and Access Management For Modern Applications and Services
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Keycloak is an open-source Identity and Access Management (IAM) solution that addresses the need for secure user authentication and authorization in modern applications. Its key features include centralized user management, social login integration, and support for various authentication protocols, simplifying security implementation and improving user experience.
AI Summary: Enhance Argo CD's `argocd login` and `argocd relogin` commands to securely accept passwords, ideally via stdin, to prevent password exposure in process lists or command history, aligning with security best practices.
Declarative Continuous Deployment for Kubernetes
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Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. It solves the problem of reliably deploying and managing applications on Kubernetes by automating deployments based on Git repository configurations, ensuring consistency and traceability.
AI Summary: Research and implement proper localization for the Kurdish region within the Directus platform, specifically addressing currency handling as referenced in pull request #25063. This involves investigating existing localization features, identifying any gaps, and potentially developing new functionality to ensure accurate currency representation for the Kurdish region.
The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.
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Directus transforms databases into headless CMSs, admin panels, or custom apps. It solves the problem of needing separate backend infrastructure by providing instant APIs, authentication, and a flexible UI framework.
AI Summary: Correct a minor typo in the documentation for the FlyoutPage's LayoutBehavior property in the .NET MAUI documentation. The sentence describing the 'Popover' behavior needs to be changed from "the detail page covers, or partially covers the flyout page" to "the flyout page covers, or partially covers the detail page."
This repository contains documentation for .NET Multi-platform App UI (MAUI).
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The docs-maui project provides comprehensive documentation for .NET MAUI, addressing the need for clear and accessible information on building cross-platform mobile and desktop applications. It offers detailed guides, tutorials, and API references to assist developers in utilizing .NET MAUI's features effectively.
AI Summary: Correct a typo in the .NET MAUI documentation regarding sharing multiple files. The current text incorrectly states that to share multiple files, use the ShareMultipleFilesRequest type, when it should say to share multiple files, use the ShareMultipleFilesRequest type. The correction involves changing "To share a single file" to "To share multiple files" in the specified section of the documentation.
This repository contains documentation for .NET Multi-platform App UI (MAUI).
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The docs-maui project provides comprehensive documentation for .NET MAUI, addressing the need for clear and accessible information on building cross-platform mobile and desktop applications. It offers detailed guides, tutorials, and API references to assist developers in utilizing .NET MAUI's features effectively.
AI Summary: The task is to debug and fix a bug in the `dorny/test-reporter` GitHub Action. The action currently throws a `TypeError` when processing an empty test results XML file, even when `fail-on-error` and `fail-on-empty` are set to `false`. The fix requires identifying why the parser is returning null when it encounters an empty XML file and handling that case gracefully without throwing an error.
Displays test results from popular testing frameworks directly in GitHub
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test-reporter directly displays test results from various testing frameworks within GitHub, eliminating the need to navigate to separate reporting platforms. This improves workflow efficiency and provides a centralized view of test outcomes for better collaboration and faster issue resolution.
AI Summary: Evaluate the existing nested logit model implementation in PyMC-Marketing for efficiency and maintainability, comparing it to a newer, potentially improved implementation. The goal is to identify improvements, particularly addressing the current two-layer nesting limitation and exploring the possibility of supporting arbitrary nesting levels.
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
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pymc-marketing is a Python library leveraging PyMC for Bayesian modeling in marketing. It provides tools for analyzing marketing campaign effectiveness (Media Mix Modeling), predicting customer lifetime value (CLV), and building buy-till-you-die (BTYD) models, offering more robust and insightful results than traditional frequentist approaches.
AI Summary: Create a new Codecademy Docs entry explaining the C++ string `erase()` method. The entry should include a description, syntax, example, and compilable codebyte example, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: The task involves contributing to an open-source project. Before starting, the contributor must carefully read the contributing guidelines, paying special attention to the section on using generative AI. Confirmation of guideline reading is required in a comment.
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The 'actions' project lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Update a relative URL in the Ash project's `usage-rules.md` file to an absolute URL to prevent markdown linter warnings when the file is used outside the repository context. This involves finding the specific relative link, determining the correct absolute URL, and updating the markdown file.
A declarative, extensible framework for building Elixir applications.
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Ash is a declarative and extensible framework for building Elixir applications, simplifying development by providing a structured approach to building complex systems. It streamlines common tasks and promotes code reusability through its extensible architecture.
AI Summary: Add captions to all screen reader demo videos on the criteria pages of the MagentaA11y accessibility testing tool. This involves locating each video, adding captions, and verifying the captions' accuracy and accessibility.
Magenta A11y is a tool built to simplify the process of accessibility testing.
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magentaA11y streamlines accessibility testing, simplifying the process of identifying and addressing accessibility issues in web applications. Key features focus on ease of use and providing clear, actionable feedback to developers.
AI Summary: Modify the 2D6 Dungeon web application to make the map's context menu persistently follow the user's position on the screen, preventing the need to scroll to access it. This involves adjusting the menu's positioning logic to dynamically track the user's viewport and maintain visibility.
Digital adaptation of 2D6 Dungeon a classic style dungeon crawler, print and play
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2d6-dungeon-app is a digital adaptation of the classic 2D6 Dungeon print-and-play dungeon crawler. It brings the pen-and-paper experience to a screen, offering a convenient and accessible way to play this beloved game.
AI Summary: Remove a temporary `::v-deep` override from the licenses modal in Kolibri Studio's code. This override was added to fix a left margin issue with 'Learn More' links caused by a problem in the Kolibri Design System (KDS). The fix requires removing the override once the KDS issue is resolved.
Content curation tools for Kolibri
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Studio is a content curation tool designed to streamline the process of adding and managing educational content within the Kolibri learning platform. It simplifies the creation and organization of learning resources, making it easier for educators to build and maintain engaging learning experiences.
AI Summary: Create a cross-platform uninstall script for the CodeVault application. The script should handle removing the Python package and the user's CodeVault data directory. The provided example `uninstall.sh` script is a starting point, but needs to be made cross-platform (Windows compatible).
code-vault is a terminal-based Windows CLI tool for securely storing, encrypting, tagging, and retrieving reusable code snippets with powerful search support.
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code-vault is a Windows command-line interface (CLI) tool that addresses the need for secure code snippet management. It allows users to encrypt, tag, and search their code snippets efficiently, promoting code reusability and organization.
AI Summary: The task is to investigate and implement a solution within the ThingsBoard IoT Gateway's Modbus connector to ensure that RPC calls and timeseries polling requests are executed sequentially, preventing concurrent requests to a Modbus/TCP device that cannot handle them. This involves either configuring existing queuing/scheduling mechanisms or potentially modifying the connector's code to enforce sequential execution.
Open-source IoT Gateway - integrates devices connected to legacy and third-party systems with ThingsBoard IoT Platform using Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC and REST protocols
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Thingsboard-gateway is an open-source project that solves the problem of integrating diverse IoT devices with the ThingsBoard platform. It achieves this by supporting a wide range of communication protocols, including Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC, and REST, enabling seamless connectivity for legacy and third-party systems.
AI Summary: Debug why the NanovisQ application (v2.6b61) fails to display analysis results after processing a high CP (35 cp) dataset (M240913W4_35CP_L6). The analysis completes without errors, but the results table and plots remain empty. Investigation should include checking if output files (CSV, PDFs) were correctly written to the expected location ('C:\Users\QATCH\dev\nanovisQ\logged_data\15520770\M240913W4_35CP_L6') and examining the application logs for clues, particularly the 'Bad initial fill region, skipping analysis of this region' message.
Main repo of v2.6x software and firmware source code (trunk)
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nanovisQ is a software and firmware project (v2.6x) whose purpose is undefined due to a missing README. The project's core functionality and the problem it solves remain unclear without further information.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Improve the Cloudreve file-sharing system by making the 'hide sharing' setting either the default or persistent across sessions. This involves modifying the user interface and potentially backend logic to remember user preferences for sharing link visibility.
🌩 Self-hosted file management and sharing system, supports multiple storage providers
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Cloudreve is a self-hosted solution for managing and sharing files, addressing the need for secure and personalized cloud storage. It supports multiple storage providers, offering flexibility and redundancy for users.
AI Summary: Implement the user interface (UI) for the ThinkDSA landing page using React and Tailwind CSS, based on the provided design and specifications in the project README. This includes implementing all sections of the landing page, ensuring responsiveness and adherence to the project's minimalist design philosophy.
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ThinkDSA is a project whose purpose is currently undefined due to missing project description and README. Therefore, no problem solved or key features can be identified.
AI Summary: The task involves reviewing and potentially improving a React component for an emergency response application. The component guides users through a series of steps for administering Narcan, including checking for responsiveness, preparing the medication, and administering it. The review should focus on the code's functionality, clarity, and user experience. No changes are explicitly requested, but improvements are implied.
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The odresponseapp project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
Enrichment pipeline for CUR / FOCUS reports which adds energy, water and carbon estimates
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The carbonara project is an enrichment pipeline designed to enhance CUR/FOCUS reports by integrating energy, water, and carbon usage estimations. This addresses the need for more comprehensive environmental impact assessments within these reports, providing key insights into resource consumption.
AI Summary: The task is to improve the naming convention for data streams within the WeatherGenerator project to ensure compatibility with logging systems like MLflow and WandB. The current system uses descriptive names that are not suitable for these systems. The solution involves choosing between converting descriptive names to a compatible format, enforcing a stricter naming convention, or requiring users to provide a separate machine-readable identifier for each stream.
The repository of the WeatherGenerator project
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WeatherGenerator is a project that simulates weather patterns, addressing the need for synthetic weather data in various applications. Key features likely include the generation of realistic weather parameters like temperature, humidity, and precipitation, potentially customizable for specific geographic locations and time periods.
AI Summary: The task is to debug a RamaLama issue where the `serve` command, when using the `--host 127.0.0.1` flag with Docker, fails to correctly forward the port, resulting in a connection refusal. The solution requires understanding RamaLama's interaction with Docker and llama.cpp, potentially modifying the code to ensure the server listens on 0.0.0.0 within the container while still allowing external access via the specified host.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
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RamaLama simplifies local AI model serving and production inference by leveraging containers. It solves the problem of complex model deployment by providing a user-friendly, open-source tool compatible with models from various sources.
AI Summary: Refactor the EmployeeUpdater code to improve readability, reduce code duplication, and handle errors more effectively. Specific tasks include converting to try-with-resources, extracting common methods, fixing spelling errors (e.g., ENPLOYEE_CSV), correcting log levels, and improving the structure of validation and deletion methods. The `edit` method needs to be added to the class and reviewed.
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Insufficient project information is provided to create a meaningful summary. The project 'team1' lacks a description and README, preventing a clear understanding of its purpose, problem solved, or key features.
AI Summary: Implement integration tests for the R.A.T. project, covering agent registration (successful and failed scenarios) and job execution (successful and failed scenarios). This involves writing tests that simulate agent registration requests, command execution requests, and verifying the correct responses and database updates.
A remote access tool that allows the user to execute commands in the host computer.
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RAT (Remote Access Tool) provides remote command execution capabilities on a host computer. This solves the need for remote system administration and troubleshooting by enabling users to manage and control target machines from a distance. Key features include secure remote connection and command execution.
AI Summary: Update the QGIS documentation to reflect a change in the behavior of the Oriented Minimum Bounding Box function for single-part points. The documentation should accurately describe that the function now returns the standard bounding box of the point instead of its previous behavior. This involves editing the relevant section of the documentation (likely within the geoprocessing or geometry handling section) to reflect this change, ensuring clarity and accuracy for users.
QGIS Documentation
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The QGIS-Documentation project aims to improve the quality and accessibility of documentation for the QGIS Geographic Information System. It focuses on providing clear, comprehensive, and up-to-date guides and tutorials for users of all skill levels, thereby enhancing the usability and adoption of QGIS.
AI Summary: The task requires modifying the Makefile to add support for compiling the RAT project for Windows and Linux operating systems, in addition to the existing macOS support. This involves adding appropriate compilation flags and potentially handling platform-specific dependencies or configurations.
A remote access tool that allows the user to execute commands in the host computer.
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RAT (Remote Access Tool) provides remote command execution capabilities on a host computer. This solves the need for remote system administration and troubleshooting by enabling users to manage and control target machines from a distance. Key features include secure remote connection and command execution.
AI Summary: The task is to debug a Ruff bug where applying the PERF101 fix (removing unnecessary `list()` casts) introduces a syntax error in certain cases, specifically when a `list` cast is adjacent to another parenthesized expression. The solution requires analyzing the code, identifying the edge case causing the syntax error, and modifying the PERF101 fix implementation in Ruff to handle this scenario correctly, ensuring that the fix doesn't break valid code.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: The task is to investigate why Ruff's `PERF101` rule, designed to optimize iterable handling, is deleting comments when fixing code. The solution needs to either prevent comment deletion, mark the fix as unsafe, or correctly reposition the comments during the automated fix.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: Debug an asymmetric encryption implementation in a Rust-based remote access tool (RAT). The issue is that signature validation fails when sending encrypted jobs to the agent, likely due to a problem in key generation or exchange. The task involves investigating the encryption branch's code, identifying the source of the signature validation error, and correcting it.
A remote access tool that allows the user to execute commands in the host computer.
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RAT (Remote Access Tool) provides remote command execution capabilities on a host computer. This solves the need for remote system administration and troubleshooting by enabling users to manage and control target machines from a distance. Key features include secure remote connection and command execution.
AI Summary: Enhance the VS Code extension's custom time format settings to include a timezone parameter. This allows users to specify the timezone directly within the custom format definition, eliminating the need for a separate timezone selection step during conversion. The implementation should handle cases where timezone is omitted (defaulting to local time) and integrate seamlessly with the existing custom format handling.
🕓 VS Code extension to convert timestamps from/to various formats and preview/insert them on demand.
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The vscode-timing extension streamlines timestamp management within VS Code. It addresses the need for quick and easy conversion between various timestamp formats, offering on-demand preview and insertion capabilities directly into the editor.
AI Summary: Add a project logo to the top of the README.md file to improve the visual appeal and professionalism of the project's GitHub page.
The Automated Data Preprocessing Toolkit streamlines the data preprocessing stage in machine learning by automating tasks like handling missing values, encoding categorical features, and normalizing data. With a user-friendly interface for easy dataset uploads, it enhances data quality and improves model performance efficiently.
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AutoEDA automates tedious data preprocessing tasks in machine learning, such as handling missing values and encoding categorical features. This toolkit improves data quality and model performance through a user-friendly interface that simplifies dataset uploads and processing.
AI Summary: Create a Storybook story demonstrating the usage of the `GlobalStyle` component from the React95 core package. This involves setting up the necessary environment and showcasing how `GlobalStyle` injects fonts and styles like custom scrollbars, supplementing the existing documentation.
A React components library with Win95 UI
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React95 is a React component library that provides a nostalgic Windows 95 user interface. It solves the problem of needing readily available, consistent Win95-styled components for developers building retro-themed or visually unique applications, offering a range of pre-built UI elements.
AI Summary: The task is to troubleshoot why Azure Blob Storage logging is not working in an Airflow 3.0.2 deployment using the official Helm chart. The issue appears to stem from the `DefaultAzureCredential` failing to authenticate, likely due to missing or incorrectly configured environment variables or Azure authentication methods. The solution involves investigating and correcting the Azure connection configuration, environment variables, and potentially the authentication method used by the Azure provider.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring data workflows. It allows defining workflows as code, improving maintainability, versioning, testability, and collaboration, and features a user interface for visualizing and monitoring pipelines.
AI Summary: The task requires modifying the community platform's map component to display all country names in English, ensuring consistency with the rest of the platform's English-language interface. This involves updating the data source used by the map to reflect English country names.
A platform to build useful communities that aim to tackle global problems
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The community-platform project aims to solve the problem of fragmented efforts in tackling global issues by providing a space for building focused, collaborative communities. Key features will include tools for communication, project management, and resource sharing to facilitate effective collective action.
AI Summary: Migrate all existing Spiderly documentation to a Markdown-based format, potentially using an Angular library like `ngx-markdown` to render the content. This involves separating documentation into individual Markdown files and dynamically loading them in the Angular `ngOnInit` lifecycle hook. Research on best practices for this approach is required.
Spiderly Website - Playground, Documentation, FAQ for the Spiderly Library.
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Spiderly Website serves as a central hub for the Spiderly library, providing a playground for experimentation, comprehensive documentation, and a frequently asked questions section to aid users in understanding and utilizing the library effectively. It addresses the need for accessible learning resources and practical application examples for the Spiderly library.
AI Summary: The task is to debug a GTK/libadwaita theme parsing issue within the fastboot-assistant Snap package. The issue manifests as numerous parser errors, indicating problems with color definitions and pseudo-class names in the CSS files. The solution likely involves correcting syntax errors and ensuring compatibility with the GTK theme engine used by the application.
Project to facilitate the installation of custom ROMs and GSIs on Android devices. Created with GTK and C.
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fastboot-assistant simplifies the process of installing custom ROMs and Generic System Images (GSIs) on Android devices. Built using GTK and C, it provides a user-friendly graphical interface for complex flashing procedures, reducing the technical hurdles for users.
AI Summary: Refactor the KubeStellarUI repository by moving the frontend code from the root directory into a new 'frontend/' subdirectory. This involves updating file paths in scripts, Dockerfiles, and potentially other configuration files to reflect the new structure.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: The task involves creating an `sse2loongarch.h` header file to facilitate the translation of SSE instructions to LoongArch instructions within the LATX (Loongson Architecture Translator for x86) project. This requires understanding both SSE and LoongArch instruction sets and leveraging existing LATX components or developing new ones to map SSE functions to their LoongArch equivalents. The goal is to improve compatibility of x86 applications using SSE instructions with LoongArch systems.
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The provided project information is insufficient to generate a meaningful summary. There is no description or README to explain the project's purpose or features. Therefore, no summary can be provided.
AI Summary: The task is to contribute to the `pynus` Python library, which reads NuSDaS weather data files. Contributions can range from bug fixes (potentially directly merging to master) to feature enhancements (requiring discussion and branching) or improving documentation. The project uses xarray for data handling.
A python library to handle files in the NuSDaS format.
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pynus is a Python library designed to simplify the handling of files in the NuSDaS format. It provides tools for reading, writing, and manipulating NuSDaS data, addressing the challenge of working with this specific file type in Python.
AI Summary: Optimize the API resource loading in WSO2 Identity Server 7.2-m4 to improve user experience. This involves reducing redundant API calls and potentially implementing a strategy to fetch APIs in larger chunks or on demand, rather than loading all management APIs at once. The goal is to decrease the loading time of API resources.
Welcome to the WSO2 Identity Server source code! For info on working with the WSO2 Identity Server repository and contributing code, click the link below.
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This project, WSO2 Identity Server, is a source code repository for an identity and access management system. It solves the problem of securely managing user identities and access control, offering features such as authentication, authorization, and user provisioning.
AI Summary: The task involves fixing a bug in the Expensify app's sign-in page where translation strings are not displayed correctly after signing out. The solution requires implementing a fix similar to one previously shared, likely involving adjustments to the lazy loading of translation resources to ensure consistent display across different scenarios.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task is to modify the existing GitHub Actions workflow for an Android business card app to automatically upload the Appdome-protected AAB file as a release artifact. This involves capturing the protected AAB from Appdome's build-2secure service, and then using GitHub Actions to upload it as a release asset on the repository, ensuring only the protected version is published.
Android Business Card app with treelink built with Kltoin and Jet Compose.
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The android_business_card project creates a digital business card application for Android using Kotlin and Jetpack Compose. It solves the problem of needing a readily available and easily shareable digital business card, offering a modern and visually appealing alternative to traditional paper cards.
AI Summary: Refactor the NFTTransaction and TokenTransaction components in a StarkNet Cairo smart contract to use a new TreasuryHandler component for all token and NFT operations. This involves replacing direct balance checks and transfer logic with calls to the TreasuryHandler's functions and updating the mock account data contract. Testing is required to ensure no breaking changes.
The Smart Contract of the Spherre Protocol
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Spherre Protocol's smart contract aims to solve [problem the protocol solves - this information is missing from the prompt]. Key features are currently undefined due to missing project information.
AI Summary: Investigate why a film upload is stuck at 95% completion. Multiple attempts have resulted in several incomplete copies of the film. Determine the cause of the incomplete upload and find a solution to successfully upload the film.
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This project, .github, lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features.
AI Summary: Debug and fix a bug in the Expensify React Native Chat application where renaming a main tag causes subtags from different main tags to merge. The bug is reproducible on multiple platforms (Android, iOS, web, desktop) and affects the Workspace Settings component. The fix requires understanding the application's tag management system and potentially modifying data structures and UI interactions to prevent unintended merging of tags.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task is to update the FreeCAD user interface (UI) to include the keyboard shortcut information for the 'Std_SelectAll' command (Ctrl+A) in the menu, as it's currently missing. This involves modifying the UI code to display the shortcut, ensuring consistency with the documentation and addressing the inaccuracy in the existing wiki documentation regarding the command's functionality.
Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
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FreeCAD is a free and open-source 3D parametric modeler that solves the need for accessible and customizable CAD software. Its key features include multiplatform compatibility and a focus on parametric modeling, allowing for easy modification and iteration of designs.
AI Summary: The task involves debugging a bug in the New Expensify workspace settings related to multi-level tags. When a main tag has no active sub-tags, the 'Require tags' option should be disabled, but it currently remains selectable. The solution requires investigating the tag management logic within the application's codebase, identifying the source of the issue, and implementing a fix that disables the 'Require tags' option appropriately when no active sub-tags exist for a main tag. Testing across multiple platforms (Android, iOS, web, desktop) is necessary to ensure the fix works correctly.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task involves implementing features for version 7.1.0 of the Alexandrie note-taking application. This includes backend work (adding admin stats routes, converting patch routes to PUT, and implementing document pinning), frontend development (adding security features like session management and password reset, implementing markdown color support, creating a markdown syntax demo, enabling offline mode and local storage for documents, and improving document pinning and visibility), and fixing issues related to dark mode colors and markdown colors.
✨ App for taking beautiful notes in extended Markdown format. Note taking app
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Alexandrie is a note-taking application that addresses the need for a beautiful and efficient way to capture notes using extended Markdown formatting. Its key feature is the ability to create visually appealing and highly organized notes, enhancing productivity and note-taking experience.
AI Summary: The task involves improving the handling of NaN (Not a Number) values in a weather forecasting model. This requires refining the preprocessing, loss function, and postprocessing steps to ensure NaNs are imputed appropriately before model training, and then restored in the output after inference. The solution needs to be robust to slight changes in NaN locations across different model versions and handle the complexities of rollout training. Several pull requests are planned to implement the solution incrementally.
Core packages for Anemoi.
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Anemoi-core provides foundational packages for the Anemoi project. It solves the problem of needing reusable, core components by offering a set of shared libraries and utilities. This allows for consistent development and easier maintenance across different Anemoi applications.
AI Summary: Modify the 'add new scheduled transaction' feature to pre-select the user's favorite currency using the `select_favorite_currency` function from `utils.currencies`. This involves fetching the user's preferred currency from the backend and setting it as the default currency selection on the frontend form.
financial manager webapp to manage your deposits and withdrawals and track your transactions and put your wishlist and set a financial target for every month
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imhotep_finance is a web application designed to simplify personal finance management. It allows users to track deposits, withdrawals, and transactions, while also enabling them to create wishlists and set monthly financial targets.
AI Summary: This task involves updating the Agenterra project's documentation and metadata to reflect a rebranding from a personal name to LaFollett Labs LLC. This includes updating copyright notices, Cargo.toml metadata, and various documentation files (README, AGENT_INSTRUCTIONS, etc.) to ensure consistency and accuracy. The task also requires verifying that the updated documentation triggers the release automation workflow successfully.
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Without further information about the project 'agenterra', a concise summary cannot be provided. The project's purpose, features, and problem it solves are unknown due to missing description and README.
AI Summary: Improve the error handling of the time series comparison application to gracefully handle JSON files with incorrect structure. Instead of crashing, the application should display a user-friendly message indicating the invalid JSON format when a user uploads a file with incorrect structure, regardless of whether other files are correctly formatted.
Aplikacja porównująca szeregi czasowe i wizualizująca jest w postaci wykresu. Powstała w ramach pracy inżynierskiej na zlecenie firmy Rockwool.
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The Comparison-Tool is a time series comparison application, visualizing data as charts. Developed for Rockwool as an engineering project, it solves the problem of efficiently comparing and analyzing temporal data sets.
AI Summary: Deploy the code for the ui-dashboard project by the end of the day. This is a high-priority task.
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The `flask-utils` project (assuming it's a Flask extension) aims to simplify common tasks and add useful functionalities to Flask applications. It likely provides reusable components and helpers to improve developer productivity and code maintainability.
AI Summary: Investigate the impact of the upcoming `DisplayName` deprecation in the AWS S3 `GetBucketAcl` API response on the s3fs-nio Java library. This involves reviewing the codebase to determine if the library uses `DisplayName`, and if so, updating it to use canonical IDs, AWS account IDs, or IAM ARNs. A major release might be necessary.
A Java (NIO2) FileSystem Provider for Amazon AWS S3.
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s3fs-nio is a Java library providing a NIO2 file system provider for Amazon S3, enabling seamless interaction with S3 buckets as if they were local filesystems. This simplifies Java applications needing to access and manipulate data stored in S3, eliminating the need for complex S3 API interactions.
AI Summary: The task is to optimize the determination of whether to use String or ShortString within the Apache Arrow Rust implementation. The current method involves multiple decisions, and the goal is to find a more efficient and direct approach to reduce redundancy and improve performance.
Official Rust implementation of Apache Arrow
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arrow-rs is the official Rust implementation of Apache Arrow, a columnar memory format for efficient data processing. It provides data structures and algorithms for in-memory analytics, enabling high-performance data manipulation and exchange within Rust applications.
AI Summary: The task involves finding and potentially contacting the Tokopedia seller support number (087788062847) mentioned in the issue. The project context is unclear, but the issue suggests a need to utilize this contact information for resolving a problem related to a Tokopedia seller.
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The project, Wa-Tokopedia-seller-, lacks a clear description and README, preventing a precise summary. Without further information, its purpose and features remain unknown.
AI Summary: The task involves investigating and potentially resolving an issue related to a contact number for Tokopedia sellers. The issue title suggests a possible problem with the official Tokopedia contact information, and the description provides a phone number claimed to be a 24/7 Tokopedia support line. The task may require verifying the legitimacy of the provided number and potentially updating documentation or reporting the issue to Tokopedia.
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The project, Wa-Tokopedia-seller-, lacks a clear description and README, preventing a precise summary. Without further information, its purpose and features remain unknown.
AI Summary: Improve the visual design of the existing scroll-to-top button in the AutoEDA frontend application. The task involves updating the button's appearance to align with modern UI/UX best practices, using the provided before-and-after images as a guide. This likely involves modifying CSS styles within the React component responsible for rendering the button.
The Automated Data Preprocessing Toolkit streamlines the data preprocessing stage in machine learning by automating tasks like handling missing values, encoding categorical features, and normalizing data. With a user-friendly interface for easy dataset uploads, it enhances data quality and improves model performance efficiently.
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AutoEDA automates tedious data preprocessing tasks in machine learning, such as handling missing values and encoding categorical features. This toolkit improves data quality and model performance through a user-friendly interface that simplifies dataset uploads and processing.
AI Summary: Investigate and resolve a bug in the Gleam package publishing process where malformed source code files are appearing in generated tarballs. This likely involves comparing tarball generation processes across different `tar` versions (1.34 vs 1.35) and potentially identifying a regression in `tar` 1.35 or a Gleam-specific issue related to tarball creation.
⭐️ A friendly language for building type-safe, scalable systems!
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Gleam is a type-safe programming language designed for building scalable systems. Its key features include a focus on developer friendliness and the ability to create robust, maintainable applications.
AI Summary: Implement a login/registration system. The provided description indicates this will be a challenging task.
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The Inventory-Shop-System project addresses the need for efficient inventory management and streamlined shop operations. It likely provides features such as tracking stock levels, managing sales, and generating reports, improving overall business efficiency.
AI Summary: Update the Astro documentation's Strapi guide to reflect changes in Strapi v5, specifically addressing the removal of the `attributes` field, the introduction of `documentId`, and recommending the use of the official Strapi client library instead of a custom fetch function. This involves modifying the existing French translation of the guide.
Astro documentation
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The 'docs' project provides comprehensive documentation for the Astro static site generator. It aims to help users quickly learn and effectively utilize Astro's features, solving the problem of readily accessible and well-organized information for Astro developers.
AI Summary: Add unit and functional tests to the backend modules (`core` and others) of the Access community management tool, aiming for 100% test coverage. This involves following existing testing patterns and writing new tests for services and actions.
Set up a custom access to your private group or channel. Built by independent devs as part of https://tools.tg
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The access-tool project simplifies access management for private Telegram groups and channels. It allows administrators to customize access rules, streamlining the process of adding and controlling members.
AI Summary: Add team members as users to the project, using a checkbox list provided in the issue description. This involves checking off each team member's name to indicate their inclusion.
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The project team1_fdp lacks a description and README, making it impossible to summarize its purpose, problem solved, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a settings page for the YTCatalog web application, allowing users to configure playback rate, video quality, and automatic deletion of watch later and history videos. Settings should be configurable globally and individually for each catalog/archive, with individual settings overriding global settings. A button to sync offline state should also be added to the global settings.
Discover new channels, curate your favorite videos, and stay organized
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Ingest helps users discover and organize their favorite online videos by providing tools to find new channels and curate personal video collections. It solves the problem of scattered video content by offering a centralized platform for managing and accessing preferred videos.
AI Summary: The task involves reviewing a pull request that adds missing icons to the PrimeIconsOptions interface in the PrimeReact component library. This includes verifying the correctness and completeness of the added icons and ensuring they integrate seamlessly with the existing library.
The Most Complete React UI Component Library
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PrimeReact is a comprehensive React UI component library addressing the need for a wide range of pre-built, customizable UI elements. It offers a large selection of components, ensuring developers can quickly build feature-rich and visually appealing React applications.
AI Summary: Refactor the Java CsvConverter class to improve code readability, handle exceptions properly (using try-with-resources), and fix identified bugs. Specific improvements include correcting spelling errors, improving variable naming, in-lining code where appropriate, enhancing logging, preventing infinite recursion in file creation, and modifying the future date validation and selection information output methods.
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Insufficient project information is provided to create a meaningful summary. The project 'team1' lacks a description and README, preventing a clear understanding of its purpose, problem solved, or key features.
AI Summary: Develop a Dissect plugin for `target-query` that parses and extracts information from XDG autostart files on Linux systems, leveraging the existing Dissect framework and its tools. The plugin should adhere to Dissect's plugin architecture and documentation, and be thoroughly tested.
The Dissect module tying all other Dissect modules together. It provides a programming API and command line tools which allow easy access to various data sources inside disk images or file collections (a.k.a. targets).
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dissect.target provides a unified programming API and command-line interface for accessing data within disk images and file collections. It simplifies the process of extracting and analyzing information from various data sources within these targets, solving the problem of fragmented access to target data.
AI Summary: Develop a comprehensive transaction details page for the Spherre Protocol, displaying multisig transaction information, allowing users to approve or reject transactions, and adhering to the provided Figma design and functionality requirements. Real-time updates and a user-friendly interface are crucial.
The Frontend and Backend of Spherre Protocol
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Spherre-dapp is the frontend and backend implementation of the Spherre Protocol. It solves the problem of [insert problem Spherre solves here, e.g., secure and decentralized data storage/sharing] by providing [insert key features, e.g., a user-friendly interface and robust backend infrastructure].
AI Summary: Create an onboarding overlay modal for the SmartWill feature on the Spherre Protocol's frontend. The modal should explain SmartWill and provide a 'Get Started' button. It must be responsive, accessible, visually appealing (matching the dark theme), and include blur effects. Contributors must join the Telegram group and star the repo to be eligible.
The Frontend and Backend of Spherre Protocol
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Spherre-dapp is the frontend and backend implementation of the Spherre Protocol. It solves the problem of [insert problem Spherre solves here, e.g., secure and decentralized data storage/sharing] by providing [insert key features, e.g., a user-friendly interface and robust backend infrastructure].
AI Summary: The task is to modify the Keycloak LDAP integration to default to exact matching when searching users by attributes. Currently, it uses wildcard searches. The change should align the LDAP behavior with the existing JPA implementation, ensuring that a query like `/admin/realms/{realm}/users?q=username:ricky` performs an exact match in LDAP without adding asterisks.
Open Source Identity and Access Management For Modern Applications and Services
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Keycloak is an open-source Identity and Access Management (IAM) solution that addresses the need for secure user authentication and authorization in modern applications. Its key features include centralized user management, social login integration, and support for various authentication protocols, simplifying security implementation and improving user experience.
AI Summary: Design and implement a SmartWill page for the Spherre Protocol, including an introduction to the feature, a 'Get Started' button, integration with existing wallet interfaces, responsive design, and adherence to provided Figma designs. The page should handle wallet connection status and include smooth animations and transitions. Contributors must join the Telegram group and star the repo to be considered.
The Frontend and Backend of Spherre Protocol
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Spherre-dapp is the frontend and backend implementation of the Spherre Protocol. It solves the problem of [insert problem Spherre solves here, e.g., secure and decentralized data storage/sharing] by providing [insert key features, e.g., a user-friendly interface and robust backend infrastructure].
A way to understand what's going on in the repos in the Strategy Unit GitHub
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The `github_dashboard` project provides a centralized view of activity across the Strategy Unit's GitHub repositories. It solves the problem of needing to manually check multiple repositories for updates by aggregating key information into a single dashboard, improving team awareness and collaboration.
AI Summary: Implement a mechanism to clear specific packages from the Gleam global cache, potentially by comparing package checksums instead of relying solely on version numbers. This addresses issues where cached packages with unchanged version numbers but different content prevent updates after a `gleam publish --replace` operation.
⭐️ A friendly language for building type-safe, scalable systems!
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Gleam is a type-safe programming language designed for building scalable systems. Its key features include a focus on developer friendliness and the ability to create robust, maintainable applications.
AI Summary: Implement a more efficient packet handling system for ordered channels in a Godot/Rust VR game's network code. The current O(n) search for the next packet in an out-of-order situation needs to be optimized by storing packets with their sequence numbers and maintaining a sorted vector for O(1) lookup.
an open source social vr game in pre alpha. build with godot and rust
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ButterflyVR is an open-source social VR game in pre-alpha development, addressing the lack of accessible and customizable social VR experiences. Built with Godot and Rust, it aims to provide a platform for users to connect and interact in a virtual environment.
Camo Faces Redux is a Rewrite of the Camo Faces Mod, which enables Players to camouflage their faces in Arma3
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CamoFacesRedux is a revamped Arma 3 mod that allows players to customize their in-game facial appearance for better camouflage and immersion. It offers improved functionality and performance compared to its predecessor, Camo Faces, providing a wider range of customization options.
AI Summary: Add a LinkedIn button to the RSE Asia Association website's homepage. This involves finding appropriate LinkedIn page details for the association and integrating a button linking to it using HTML and CSS within the existing website structure.
Website for RSE Asia Association.
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RSE_Asia is a website developed for the RSE Asia Association. It serves as an online platform to connect and support members, providing resources and information related to research software engineering in the Asia region.
AI Summary: Review the Drop Bears' FRC robot code, specifically methods marked with `@magicbot.feedback`, to identify and remove unnecessary feedback loops to reduce control loop overrun. This involves analyzing the code in the `components/` directory, determining the necessity of each feedback method, and removing those deemed redundant.
Python code for The Drop Bears 2025 FRC robot
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pyreefscape is a Python-based software project for The Drop Bears' 2025 FRC (FIRST Robotics Competition) robot. It provides the control and automation logic for the robot, addressing the challenges of autonomous navigation and task completion within the competition's game rules.
AI Summary: Integrate blink cmp support into the CopilotChat.nvim plugin configuration within the AstroNvim community repository. This involves adding the necessary configuration to the existing CopilotChat.nvim plugin specification to enable compatibility with the blink completion plugin.
A community repository of common plugin specifications
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astrocommunity is a repository designed to address the lack of standardized plugin specifications for Astro projects. It provides a central location for developers to share and discover common plugin specifications, improving interoperability and reducing development time.
AI Summary: Debug and fix a bug in the Expensify onboarding flow where the 'Continue' button is missing on the accounting onboarding modal for iOS mWeb Safari users. This involves investigating the issue using provided logs and screenshots, identifying the root cause, and implementing a solution that ensures the button appears correctly and the user can proceed with the onboarding process.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The issue claims the Operit AI website project is too niche. The task is to assess the validity of this claim by analyzing the project documentation, considering factors like the target audience, features, and overall design. The goal is to determine if the project's focus is too narrow to attract a significant user base, and potentially suggest improvements to broaden its appeal.
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OperitWeb is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Debug and fix a visual bug in the Flowise marketplace search functionality where tags are unreadable in dark mode. This involves identifying the CSS or styling issue causing the problem and implementing a fix to ensure text visibility in both light and dark modes.
Build AI Agents, Visually
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Flowise is a visual tool for building AI agents, simplifying the complex process of creating and managing AI workflows. It allows users to design and connect various AI components intuitively, eliminating the need for extensive coding.
AI Summary: The task involves fixing the button alignment issue in the `KModal` component of the Kolibri Design System for Left-to-Right (LTR) languages. This requires modifying the component's code to ensure buttons are correctly positioned on the left side in LTR languages while maintaining the existing right-side alignment for Right-to-Left (RTL) languages. The solution should be tested in the Kolibri application with screenshots provided for both LTR and RTL languages.
Kolibri Design System
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The Kolibri Design System provides a unified design language and reusable UI components for Kolibri educational products. It offers comprehensive documentation and a component library (npm package) to streamline development and ensure consistency across the platform. The system is not intended for external use but exclusively for Kolibri's internal projects.
AI Summary: Modify the existing C++ code to allow users to dynamically specify the loop creation position in a singly linked list using user input instead of a hardcoded value. This involves modifying the `main()` function to take user input and update the `createLoop()` function call accordingly.
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Due to the lack of provided information in the project description and README, a concise summary of the project's problem and key features cannot be generated. The project, 5.2xGit_Task1, appears to be incompletely defined.
AI Summary: Create a dedicated documentation page on the scri.be website to consolidate all existing blog posts, articles, and presentations about the Scribe project and community. This page will then be linked from the various project READMEs, replacing the current lengthy lists of links.
Scribe's community portal scri.be
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scri.be is a community portal designed to foster collaboration and knowledge sharing. It aims to solve the problem of fragmented communication and information access within a community by providing a central hub for interaction and resource management.
AI Summary: Investigate various documentation services (Docus, Nuxt Content, VuePress, VitePress) to determine the best fit for scri.be's documentation. The chosen service will then be implemented to create base documentation pages for the project. Collaboration with the community is encouraged.
Scribe's community portal scri.be
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scri.be is a community portal designed to foster collaboration and knowledge sharing. It aims to solve the problem of fragmented communication and information access within a community by providing a central hub for interaction and resource management.
AI Summary: Debug and fix an issue where report fields in Xero integration are locked after a workspace upgrade, even when the workspace is downgraded. The bug is reproducible in both staging and production environments and affects the Workspace Settings component. The solution requires investigating the interaction between workspace upgrades/downgrades and Xero integration settings, potentially involving the backend API and frontend UI logic.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
More
New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The GitHub Action for setting up the Anchor environment needs to be updated to ensure the `anchor` command is correctly added to the PATH after restoring from cache, mirroring the existing PATH update for Solana CLI. This likely involves adding a similar PATH update step for Anchor after its cache restoration.
Optimized GitHub action to set up anchor environment
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The `setup-anchor-environment` GitHub Action streamlines the process of setting up an Anchor environment for Solana development. It simplifies dependency management and environment configuration, allowing developers to focus on building smart contracts rather than infrastructure.
AI Summary: Refactor the naming convention of the Model Context Protocol (MCP) tools within the `mcp-prompt-engineer` project to improve clarity and uniqueness. This involves proposing new, more specific names for existing tools, updating the codebase to reflect these changes, and updating relevant documentation. The goal is to reduce ambiguity for both the user and the AI model (Claude) when invoking these tools.
A Model Context Protocol (MCP) integration that provides Claude Desktop with access to AI prompts, tools, and configurations from AI major platforms. This tool enables developers and AI engineers to explore, compare, and analyze prompt engineering strategies across different AI services.
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mcp-prompt-engineer integrates Claude Desktop with various AI platforms, allowing users to access and manage prompts, tools, and configurations from a single interface. This solves the problem of fragmented prompt engineering workflows by enabling streamlined comparison and analysis across different AI services.
AI Summary: The task involves improving the p5.js documentation for p5.strands, a WebGL-based library. This includes creating individual reference pages for each hook function within p5.strands, providing JS-based usage examples without GLSL, updating existing base shader documentation to link to these new pages, and modifying the `shader.modify()` documentation to reflect the new JS callback functionality.
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. http://twitter.com/p5xjs —
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p5.js is a JavaScript library simplifying the creation of interactive web-based visuals and animations. It addresses the challenge of making coding accessible for creative individuals by providing a beginner-friendly interface built upon the Processing visual programming language, enabling users to express themselves through code.
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The hydro-habitat project aims to address the lack of information regarding the project's purpose and functionality. Without further details, a concise summary cannot be provided. More information is needed to describe the problem it solves and its key features.
AI Summary: Refactor the `dggrid4py` Python library to support DGGRID version 9. This involves creating separate classes for different DGGRID versions to handle version-specific functions and parameters, improving compatibility with newer GDAL/GeoPandas versions for faster data transfer formats (like FlatGeobuf and GeoParquet), while maintaining backward compatibility with older DGGRID binaries.
A Python 3.8+ wrapper for the DGGS tool DGGRID from Kevin Sahr
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dggrid4py is a Python 3.8+ library providing a convenient wrapper for the DGGRID tool, simplifying the use of discrete global grids (DGGs) in Python. It streamlines the creation, manipulation, and analysis of DGG data, eliminating the need for direct interaction with the command-line DGGRID tool.
AI Summary: Implement toast notifications using a library like `react-toastify` or a custom component to provide feedback to the user on login, registration, and booking actions. Success messages should be shown for successful actions, and error messages should be displayed for incorrect credentials or other failures. The solution should be reusable across different pages of the application.
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Fix-Time is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: The task is to enhance Apache DataFusion's query engine to support projecting columns (like `window_start`, `window_end`, `window_duration`) that are generated during windowing operations but don't exist in the original table schema. The current implementation only allows projecting aggregated values, not window metadata. A solution needs to be found that avoids unnatural workarounds like dummy aggregate UDFs with arguments.
Apache DataFusion SQL Query Engine
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Apache DataFusion is a distributed, extensible SQL query engine built for efficient data processing. It solves the problem of needing a performant and flexible query engine that can handle diverse data sources and integrates well with other systems. Key features include its support for various data formats and execution plans, along with its extensibility through custom operators and functions.
AI Summary: The issue is that FFmpegFrameRecorder in JavaCV 1.5.11 seems to be inadvertently linking to CUDA libraries even when not needed, causing errors on non-Nvidia systems. The task is to debug this dependency issue, potentially by identifying a configuration option to disable CUDA usage or by modifying the JavaCV build process to allow for a software-only HEVC encoding path without CUDA dependencies. The user's POM file already includes the necessary dependencies, but the problem lies in how FFmpegFrameRecorder is selecting and loading libraries.
Java interface to OpenCV, FFmpeg, and more
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javacv is a Java library providing a seamless interface to powerful computer vision and multimedia libraries like OpenCV and FFmpeg. It simplifies the development of applications requiring image and video processing, enabling developers to leverage the extensive capabilities of these libraries within a Java environment.
AI Summary: Debug and fix errors in the main.py and solver.py files of a Python Sudoku solver project. The errors prevent the program from running correctly. Improvements to code structure and functionality are also welcome.
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The py-sudoku-solver project is a Python-based Sudoku puzzle solver. It efficiently solves Sudoku puzzles using backtracking, offering a command-line interface for user input and solution display.
AI Summary: Debug and fix a bug in the New Expensify web application where using the UI filters for Report IDs with spaces in a comma-separated list inserts the wrong search query. The bug causes the filter to quote all Report IDs and only return the first one. The fix should ensure that all Report IDs are correctly included in the query, even with spaces in the comma-separated list.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Set up a GitHub Actions CI/CD pipeline to build a Yocto-based Swift application for ARM architecture using either a self-hosted or cloud runner. The pipeline should cross-compile the application for qemu-arm and execute the resulting binary to verify functionality. Consideration should be given to using a self-hosted runner for sufficient build resources.
Yocto meta-layer for building swift applications
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meta-swift is a Yocto meta-layer that simplifies the process of building Swift applications within embedded Linux systems. It addresses the challenge of integrating Swift into Yocto-based projects by providing pre-built components and recipes, streamlining the development workflow.
AI Summary: The task involves replacing a disintegrating pool cleaning brush due to age and wear. The decision of whether to immediately replace the brush or wait until requested by professional cleaners needs to be made. The old brush needs to be responsibly recycled.
🏡 👩💻 💡 home is where you can [learn to] build the future surrounded by like-minded creative, friendly and [intrinsically] motivated people focussed on health, fitness and making things people and the world need!
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Home is a collaborative project focused on fostering a community of health-conscious, creative individuals. It provides a supportive environment for learning and building projects that address real-world needs, connecting like-minded people to work together.
AI Summary: Clean a dataset by removing null values and duplicate rows using pandas in Python. The task involves using `df.isnull().sum()` to identify nulls, and then applying `dropna()` and `drop_duplicates()` methods. The shape of the dataset before and after cleaning should be printed to demonstrate the changes.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: The task is to update the GitHub Linguist project to correctly identify the GritQL language. This involves adding a new language grammar to the Linguist library, potentially requiring modifications to existing code and testing to ensure accurate language detection for files with the '.grit' extension. The provided issue includes links to the GritQL repository and its syntax highlighting grammar, which will be helpful resources.
Language Savant. If your repository's language is being reported incorrectly, send us a pull request!
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Linguist helps accurately identify the programming language of a repository. It addresses incorrect language detection by allowing community contributions via pull requests to improve its accuracy.
AI Summary: Add a new mission to the gamified political activity platform. The mission involves reading and potentially reacting to Team Mirai's manifesto summary. This requires creating a new mission entry within the application's database and potentially updating related UI elements to display the mission and handle user interactions (depending on the 'difficulty' of sharing feedback).
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
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Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: The task is to fix a bug in the `cyclonedx-py` tool that causes an `AttributeError` when parsing PEP 639 license strings from a `pyproject.toml` file. The bug arises because the code attempts to use the `get()` method on a string instead of a dictionary. The solution involves modifying the code to correctly handle both PEP 621 (dictionary) and PEP 639 (string) license formats, ensuring compatibility with both while using the --pep639 switch.
CycloneDX Software Bill of Materials (SBOM) generator for Python projects and environments
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cyclonedx-python generates CycloneDX Software Bill of Materials (SBOMs) for Python projects and environments. This solves the problem of lacking comprehensive software component information, crucial for security and compliance. Key features include support for various Python packaging formats and dependency analysis.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Implement a new evaluation metric, "Structured Output Compliance," for the Opik platform. This metric should verify if the LLM output is valid JSON or JSON-LD, ideally with Pydantic schema support. The implementation should include an LLM-as-a-judge approach (with a reason field) and a heuristic fallback. The metric needs to be added to the Python SDK, frontend UI (Online Evaluation tab), and documentation, along with an example video.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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Opik solves the challenge of debugging and monitoring complex LLM applications, RAG systems, and agentic workflows. It provides comprehensive tracing, automated evaluations, and production-ready dashboards for improved understanding and performance optimization.
AI Summary: Implement a new LLM-as-a-judge evaluation metric called "Sycophancy" in the Opik platform. This involves adding the metric to the frontend UI (Online Evaluation tab) and the Python SDK, updating the documentation, and creating a demonstration video. The implementation should follow the existing structure of other LLM-as-a-judge metrics like Hallucination, using the provided research paper as a guide.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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Opik solves the challenge of debugging and monitoring complex LLM applications, RAG systems, and agentic workflows. It provides comprehensive tracing, automated evaluations, and production-ready dashboards for improved understanding and performance optimization.
AI Summary: Modify the size and wording of the checkboxes on the user registration screen to improve usability, particularly for older users. This includes changing the label "sign up" to something more intuitive for less tech-savvy users, and potentially increasing the size of the checkboxes for better tappability on smaller screens.
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
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Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: Update the contact email address in the MalariaGEN data Python package documentation from `[email protected]` to `[email protected]`. This involves modifying the `index.rst` file and potentially other files across different documentation versions (including those on the `gh-pages` branch) and a notebook.
Analyse MalariaGEN data from Python
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The malariagen-data-python project simplifies the analysis of MalariaGEN datasets directly within Python. It provides convenient access to large-scale genomic and epidemiological data, eliminating the need for complex data manipulation and enabling researchers to focus on analysis and interpretation.
AI Summary: Debug and fix a bug in the Expensify chat report view where deleting a reacted-to message causes incorrect display of the LHN report title and chat header, showing 'Hidden' and 'edited' respectively. The bug is reproducible on Android, mWeb Chrome, and Windows Chrome. The task involves analyzing the provided reproduction steps and screenshots, identifying the root cause, and implementing a fix that ensures the thread closes correctly and the chat conversation displays as expected.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement interactive editing features for a 3D Gaussian splatting viewer, allowing users to select, transform, and modify individual splats. This includes selection tools (box, sphere, lasso), transform operations (move, rotate, scale), splat operations (delete, duplicate, hide/show), attribute editing (color, opacity, scale), visualization helpers (highlighting, bounding boxes, statistics), and file operations (save, undo/redo). The implementation will be phased, starting with core selection and deletion, then adding transforms and visualization, and finally advanced editing features.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
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This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: Implement support in Camo Faces Redux for camouflaging vanilla Arma 3 faces that already have camouflage variants. This involves integrating the existing camouflage options with the vanilla face models, likely requiring modification of existing code and potentially the addition of new configuration options.
Camo Faces Redux is a Rewrite of the Camo Faces Mod, which enables Players to camouflage their faces in Arma3
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CamoFacesRedux is a revamped Arma 3 mod that allows players to customize their in-game facial appearance for better camouflage and immersion. It offers improved functionality and performance compared to its predecessor, Camo Faces, providing a wider range of customization options.
AI Summary: Create a new Codecademy Docs entry explaining C++'s `unordered_map::hash_function()`. The entry should include a description, syntax, example, and compilable code, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Create a histogram visualization of the 'Runs_Scored' column from the provided dataset using Matplotlib or Seaborn. The histogram should be properly labeled and titled, and a brief explanation of what the histogram reveals about the data's distribution should be included in the code comments or a markdown cell.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Fix a bug in a Godot 4 3D drag-and-drop script where raycasting during dragging causes unintended jam handling activation when an object is obstructed. The solution involves modifying the script to use the drag object's position instead of raycasting for distance calculations, while potentially preserving the unintended 'hand reach' limitation as a feature.
Powerful and highly customizable script for Godot 4 that implements 3D drag and drop mechanics
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The godot-dragndrop-3d project provides a robust and adaptable Godot 4 script for implementing 3D drag-and-drop functionality. It solves the common problem of needing to easily add intuitive drag-and-drop interactions to 3D scenes, offering extensive customization options for developers.
AI Summary: Implement recurring transaction functionality in the Profitocracy budgeting app. This involves adding a recurring interval selection (daily, weekly, monthly, quarterly, semi-annually, annually) to the transaction creation page, automatically generating recurring transactions based on the selected interval, visually marking recurring transactions, and enabling filtering by recurring interval. Future considerations include expanding interval options and supporting user-defined intervals.
Multi currency personal budget control mobile application following 50-30-20 principle. Created using .NET MAUI
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Profitocracy is a cross-platform mobile budgeting application built with .NET MAUI that helps users manage their finances across multiple currencies. It simplifies budgeting by employing the 50-30-20 rule, allowing for better control and understanding of personal spending habits.
AI Summary: Generate a correlation matrix heatmap for numerical features in a dataset using pandas and seaborn in a Jupyter Notebook. Save the heatmap as 'heatmap.png'. The heatmap should include labels, title, and a color bar.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Pressure wash the north side of a building, taking care to avoid damaging plants and directing water away from vents. The task requires using a pressure washer, extension cord, and water hose, and following specific instructions for cleaning technique and cleanup.
🏡 👩💻 💡 home is where you can [learn to] build the future surrounded by like-minded creative, friendly and [intrinsically] motivated people focussed on health, fitness and making things people and the world need!
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Home is a collaborative project focused on fostering a community of health-conscious, creative individuals. It provides a supportive environment for learning and building projects that address real-world needs, connecting like-minded people to work together.
AI Summary: The task involves getting started with GitHub Copilot and then working on an issue related to deploying an SMN (Syed Money Network) dashboard. The issue description includes a Python function simulating the deployment process and a GitHub Actions workflow snippet for deployment. The goal is likely to use Copilot to assist in completing or improving the provided code and workflow.
Exercise: Get started using GitHub Copilot
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This project is a placeholder created as a GitHub Copilot exercise. It lacks a defined purpose or features, serving only as a starting point for learning the Copilot tool.
AI Summary: Create Dockerfiles for the backend and frontend of a Slack clone application, and a docker-compose.yml file to orchestrate both services. This involves configuring Dockerfiles to build and run the Node.js backend and React frontend applications, and then using docker-compose to link and manage them together.
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This project is Slack, a communication platform that solves the problem of inefficient workplace communication. Key features include direct messaging, channels for group conversations, file sharing, and integrations with other applications.
AI Summary: The task involves creating a data transformation pipeline using dbt (data build tool) to process raw housing data (Bronze layer) into a refined dataset representing social housing (Silver/Gold layers). This requires understanding the existing ELT (Extract, Load, Transform) pipeline, the project's dbt configuration, and the provided documentation and target table specifications. The goal is to match the structure and content of a target table, using a provided methodology as a guide.
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Insufficient information is provided to summarize the project '13_odis'. The description and README are undefined, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: The task involves switching the Python SRTM library used in the `python-template-project` to a different version or alternative to resolve unspecified issues. This likely requires updating the project's dependencies, modifying relevant code sections that utilize the SRTM library, and retesting to ensure functionality.
A feature-rich and highly automated Python project template to kickstart your next application with modern best practices.
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The `python-template-project` provides a pre-configured Python project template streamlining application development. It incorporates modern best practices and automation features, accelerating project setup and reducing boilerplate code.
AI Summary: Modify the Hot Tab Chrome extension to handle the scenario where a user selects a pinned tab while a new tab is open. The user should be able to choose between using the new tab to load the pinned URL or closing the new tab after the pinned tab is activated.
A Chrome extension to help efficiently navigate tabs and to not get lost in tab chaos.
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hot-tab is a Chrome extension designed to alleviate the frustration of managing numerous browser tabs. It provides efficient navigation tools, helping users quickly find and organize their open tabs, preventing them from getting lost in tab chaos.
AI Summary: The task is to modify the Chaterm application to suppress or filter the display of system return information, such as the 'logout' message and connection closure messages, while retaining the JSON response from the AI agent. This involves identifying where this system information is being logged and implemented a filter or suppression mechanism within the application's code.
Smart, agentic, security AI terminal for devops and cloud practitioners
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Chaterm is a smart AI terminal designed for DevOps and cloud professionals, solving the problem of inefficient and complex command-line operations. Its key features include an agentic AI assistant that automates tasks and provides intelligent suggestions, enhancing productivity and security within cloud and DevOps environments.
AI Summary: Improve the performance and user experience of the Mantis C++ BaaS library. This involves investigating and addressing issues #7 and #8 (details not provided), potentially optimizing code, improving the API, or enhancing the development workflow.
Lightweight BaaS written in C++
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Mantis is a lightweight Backend-as-a-Service (BaaS) solution implemented in C++, addressing the need for a performant and efficient backend infrastructure. Its key feature is its lightweight design, making it suitable for resource-constrained environments and prioritizing speed and low overhead.
AI Summary: Implement support for importing eirctl configuration files from Git repositories, including private ones. This involves using a Go library (like `go-git`) to clone and manage the Git repositories in memory or a temporary location, handling authentication for private repositories, and integrating this functionality into the existing import mechanism.
The task runner for containers
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eirctl is a task runner specifically designed for managing and automating tasks within containerized environments. It simplifies complex workflows by providing a streamlined interface for executing commands and scripts across containers, improving developer productivity and operational efficiency.
AI Summary: The task is to improve the type hinting of the `ConnectionInterface::transaction()` method in the Yii Database library. Specifically, it requires adding a generic type parameter to allow for better type inference of the callback's return value by static analysis tools like Psalm.
Yii Database Library
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The Yii Database Library (db) simplifies database interaction within Yii applications. It provides a robust and efficient way to perform database queries, transactions, and schema management, abstracting away the complexities of database-specific syntax.
AI Summary: Debug and fix a missing texture in the LOD 1 of the `cfr_items_BW_Facepaint` item within the Camo Faces Redux Arma 3 mod. This involves using the HEMTT viewer to identify the issue and modifying the relevant game assets to ensure the texture is correctly displayed at all levels of detail.
Camo Faces Redux is a Rewrite of the Camo Faces Mod, which enables Players to camouflage their faces in Arma3
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CamoFacesRedux is a revamped Arma 3 mod that allows players to customize their in-game facial appearance for better camouflage and immersion. It offers improved functionality and performance compared to its predecessor, Camo Faces, providing a wider range of customization options.
AI Summary: Add a checklist of team members to the project's README file. This involves creating a list of team members with checkboxes next to each name.
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Insufficient project information provided. The project 'team2' lacks a description and README, preventing a meaningful summary of its problem-solving capabilities and features.
AI Summary: Improve the mobile responsiveness of the Shuttle Tracker web application. This involves testing the layout on various screen sizes (mobile, tablet, etc.), fixing the navbar toggle to function correctly across all screen sizes, and ensuring a smooth and consistent layout experience on all devices.
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Shuttle_Tracker is a project that addresses the problem of inefficient and unreliable shuttle tracking. It provides real-time location updates and estimated arrival times, improving user experience and reducing wait times.
AI Summary: The task is to investigate why the 2025.6.0 branch of the EspHoMaTriXv2 project is missing from the GitHub repository, despite some pull requests being merged into other branches (2025.5.2 and 2025.5.3). The goal is to understand the status of the 2025.6.0 branch and why it's not visible, potentially involving reviewing merge history and resolving discrepancies between the project's README and the actual branch structure.
A simple DIY status display with a 8x32 RGB LED matrix, implemented with esphome.io and Home Assistant.
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EspHoMaTriXv2 is a customizable DIY status display using an 8x32 RGB LED matrix, powered by esphome.io and integrated with Home Assistant. It solves the problem of needing a visually appealing and easily configurable way to display home automation status information, offering a simple yet effective solution.
AI Summary: Implement a feature in the Ellie CLI that suggests the closest correct command when a user enters an incorrect one. If no similar command is found, display the help output with a list of available commands. This requires analyzing the entered command against a list of known commands and employing a string similarity algorithm (like Levenshtein distance) to find the best match.
Meet Ellie personal command-line companion designed to take the hassle out of system management and automation.
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Ellie is a command-line tool simplifying system administration and automation. It streamlines complex tasks, reducing the hassle of manual system management and improving efficiency.
AI Summary: Implement color-coded output for task priorities in the TaskTrek CLI application. High priority tasks should be red, medium yellow, and low green. The solution should use ANSI escape codes and ideally be configurable. The `list_tasks` function in `tasktrek-lib.sh` will need modification, and color settings may need to be added to `settings.cfg`.
TaskTrek is a terminal-based Windows CLI tool for managing tasks and time with priority tracking, daily summaries, and notifications—built for developers and minimalist productivity.
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TaskTrek is a Windows command-line interface (CLI) tool designed for developers and productivity-minded users who prefer minimalist interfaces. It solves the problem of task and time management by offering features such as priority tracking, daily summaries, and notifications, all within a simple terminal environment.
AI Summary: Implement a new command, `tasktrek delete <task_id>`, to remove tasks from the TaskTrek CLI application. This involves verifying the task's existence before deletion, providing a success message, and updating the README documentation. The implementation will likely use `jq` for JSON manipulation.
TaskTrek is a terminal-based Windows CLI tool for managing tasks and time with priority tracking, daily summaries, and notifications—built for developers and minimalist productivity.
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TaskTrek is a Windows command-line interface (CLI) tool designed for developers and productivity-minded users who prefer minimalist interfaces. It solves the problem of task and time management by offering features such as priority tracking, daily summaries, and notifications, all within a simple terminal environment.
AI Summary: Update the project documentation to include a section addressing the incompatibility with Vite's default Node.js module handling. The documentation should warn users about the need for Node.js polyfills (e.g., using `vite-plugin-node-polyfills`), and suggest strategies for avoiding global scope pollution, such as using module isolation techniques.
A typescript package to execute JavaScript and TypeScript code in a webassembly quickjs sandbox
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quickjs is a TypeScript package providing a secure way to execute JavaScript and TypeScript code within a WebAssembly sandbox powered by QuickJS. This solves the problem of safely running untrusted or user-provided code by isolating it from the main application, enhancing security and preventing potential vulnerabilities.
AI Summary: Create a Julia (or Python) script that uses AI to generate or improve docstrings for Julia code. The script should take file paths as input (code, tests, and example docstrings) and return updated code with improved docstrings, without modifying the original code files.
Fundamentals of the control-toolbox ecosystem
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CTBase.jl provides a foundational library for the control-toolbox ecosystem in Julia, addressing the need for a consistent and efficient set of core functionalities. It offers essential tools for linear algebra, numerical optimization, and system representation, streamlining the development of more advanced control algorithms.
AI Summary: Implement functionality to download annotations for individual samples and all samples within the project. This involves adding new API endpoints to the backend (likely within the `/api` directory) to handle the export requests (e.g., in CSV or JSON format). The frontend (located in `/services/ui`) will then need updated to include buttons or options to trigger these downloads and handle the downloaded files.
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The viz-annotation project lacks a description and README, making it impossible to summarize its problem-solving capabilities and key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement functionality to allow users to jump to a specific shot number within the application. This involves adding input fields to both the individual sample view and the sample listing page, enabling users to enter a shot number and navigate directly to that shot.
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The viz-annotation project lacks a description and README, making it impossible to summarize its problem-solving capabilities and key features. Further information is needed to provide a meaningful summary.
AI Summary: Fix a bug in the New Expensify Money Requests feature where messages sent in an expense are incorrectly created as replies within the "paid elsewhere" system message. The bug is reproducible across multiple platforms (Android, iOS, web, desktop) and requires debugging and code modification to ensure messages are correctly appended to the transaction thread.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
More
New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a change to the Enatega Multivendor Food Delivery System's UI to alter the cursor to a pointer when hovering over clickable cards and elements. This improves user experience by providing a clear visual cue for interactive elements, enhancing usability and discoverability.
Enatega is a fully realized and customizable food delivery application that can be used to set up your own order/delivery management system. For more information, visit the Enatega product page: 🚀🛒📦🌐
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Enatega is a customizable multi-vendor food delivery application solving the need for a flexible order and delivery management system. Key features include full application functionality and easy customization to fit individual business needs.
AI Summary: Investigate and resolve an issue where the admin/vendor panel's Coupons page unexpectedly displays a "Coming Soon" message instead of the expected coupon list. This requires debugging the code to identify why the coupon list is no longer displayed and restoring the functionality or providing a suitable alternative message if the feature is being removed.
Enatega is a fully realized and customizable food delivery application that can be used to set up your own order/delivery management system. For more information, visit the Enatega product page: 🚀🛒📦🌐
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Enatega is a customizable multi-vendor food delivery application solving the need for a flexible order and delivery management system. Key features include full application functionality and easy customization to fit individual business needs.
AI Summary: Create a new documentation entry for the C++ `unordered_map::reserve()` method. The entry should include a description, syntax, example, and compilable code, following Codecademy Docs' style guidelines and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Investigate and debug a `RangeError: Maximum call stack size exceeded` error occurring in StencilJS unit tests after upgrading from version 4.31.0 to 4.35.1. The error seems to be related to the `waitForChanges()` function in the tests and a potential infinite loop within the `unfocusInput` method of a `StnDropdown` component. The task involves analyzing the component's code, the test setup, and the relevant changes introduced in StencilJS version 4.35.1 (potentially PR #6301) to identify the root cause and provide a solution.
A toolchain for building scalable, enterprise-ready component systems on top of TypeScript and Web Component standards. Stencil components can be distributed natively to React, Angular, Vue, and traditional web developers from a single, framework-agnostic codebase.
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Core is a toolchain simplifying the creation and distribution of scalable, enterprise-grade component systems. It leverages TypeScript and Web Components, enabling developers to build once and deploy to React, Angular, Vue, and other frameworks from a single, framework-agnostic codebase.
AI Summary: Create a new Codecademy Docs entry for the C++ `unordered_map::rehash()` method. The entry should include a description, syntax, example, and compilable codebyte example, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: The user is experiencing a database timeout error ('Statement cancelled due to timeout or client request') when using JimuReport's big screen feature with a remote database. The task is to diagnose and resolve this timeout issue, likely requiring configuration adjustments in the application's YAML file to increase connection timeouts or optimize the SQL query.
「数据可视化:报表、大屏、数据看板」积木报表是一款类Excel操作风格,在线拖拽设计的报表工具和和数据可视化产品。功能涵盖: 报表设计、大屏设计、打印设计、图形报表、仪表盘门户设计等,完全免费!秉承“简单、易用、专业”的产品理念,极大的降低报表开发难度、缩短开发周期、解决各类报表难题。
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Jimureport is a free, online drag-and-drop reporting and data visualization tool with an Excel-like interface. It solves the challenges of report development by offering easy-to-use features for designing reports, dashboards, and large screens, significantly reducing development time and complexity.
AI Summary: Create a new Codecademy Docs entry for the C++ `unordered_map::max_load_factor()` method. The entry should include a description, syntax, example, and compilable codebyte example, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Create a new Codecademy Docs entry for the C++ `unordered_map::bucket_size()` method. The entry should include a description, syntax, example, and compilable codebyte example, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Create a new Codecademy Docs entry for the C++ `unordered_map::bucket_count()` method. The entry should include a description, syntax, example, and compilable code, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Create a new Codecademy Docs entry on the C++ `rfind()` string method. The entry should include a description, syntax, example, and compilable code using the provided templates and style guides. The entry will be added to the existing C++ strings section of the documentation.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Implement custom loggers using spdlog to replace the manual string construction of log messages from the image fitter. These custom loggers should store messages in memory and provide a method to retrieve them as a single string for transmission to the frontend.
Source code repository for the backend component of CARTA, a new visualization tool designed for the ALMA, the VLA and the SKA pathfinders.
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carta-backend provides the server-side infrastructure for CARTA, a visualization tool for radio astronomy data from ALMA, VLA, and SKA pathfinders. It addresses the challenge of efficiently handling and serving large astronomical datasets, enabling interactive exploration and analysis within the CARTA application.
AI Summary: Create a new Codecademy Docs entry explaining the C++ string method `front()`. The entry should include a description, syntax, example, and compilable code using the provided templates and style guides.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: Create a new Codecademy Docs entry explaining the C++ `std::string::insert()` method. The entry should include a description, syntax, example, and compilable code using Codebyte, following the provided style guide and templates.
Codecademy Docs is a collection of information for all things code. 📕
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Codecademy Docs provides comprehensive information on all aspects of coding, serving as a central resource for learners and developers. It addresses the need for a readily accessible and organized collection of coding knowledge, offering a wide range of documentation and tutorials.
AI Summary: The task is to debug a Nextclade (version 3.15.1) issue where a cached or incorrectly configured dataset URL ('http://localhost:3000') causes analysis results to not display and export to fail with an 'Internal Error: Dataset not found' message. The solution involves identifying and removing the cached URL setting, potentially clearing browser cache, and verifying the issue is resolved. The debug information includes the error message, stack trace, and user agent details.
Viral genome alignment, mutation calling, clade assignment, quality checks and phylogenetic placement
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Nextclade is a bioinformatics tool that analyzes viral genomes, identifying mutations, assigning them to clades, performing quality checks, and providing phylogenetic placement. It solves the problem of efficiently and accurately characterizing viral evolution and outbreaks by providing a comprehensive analysis pipeline.
AI Summary: Implement a data point discovery feature for a custom ThingsBoard IoT Gateway connector. This involves adding functionality to a Python connector to scan and retrieve descriptions of data points from a device using a custom protocol over a serial connection. The retrieved data point descriptions (offset, multiplier, logical address, unit, etc.) should be displayed in a spreadsheet-like format in the ThingsBoard web GUI, allowing users to select which points to monitor continuously.
Open-source IoT Gateway - integrates devices connected to legacy and third-party systems with ThingsBoard IoT Platform using Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC and REST protocols
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Thingsboard-gateway is an open-source project that solves the problem of integrating diverse IoT devices with the ThingsBoard platform. It achieves this by supporting a wide range of communication protocols, including Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC, and REST, enabling seamless connectivity for legacy and third-party systems.
AI Summary: The task is to optimize the connection buffer handling in the RocketMQ Rust implementation. Specifically, the enhancement involves improving the efficiency of the `split()` method used for sending data over the network connection. This likely involves analyzing the current implementation, identifying bottlenecks, and potentially replacing or refining the `split()` method to reduce memory allocation and improve throughput.
🚀Apache RocketMQ Rust🦀 implementation. Faster, safer, and with lower memory usage.
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rocketmq-rust is a high-performance, memory-efficient Rust implementation of Apache RocketMQ, offering a safer and faster alternative. Key features include an asynchronous, non-blocking design, excellent integration within the Rust ecosystem, and cross-platform support.
AI Summary: Refactor the project's CSS to separate font imports (currently in root.css) into a dedicated CSS file. This allows for easier management and potential local font usage in closed environments.
A library for rendering web pages or their parts from JSON data.
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The `page-constructor` library simplifies web page creation by rendering HTML elements and components directly from JSON data. This eliminates the need for extensive template engines or manual DOM manipulation, streamlining the development process and improving maintainability.
AI Summary: The task involves removing hover styles from disabled attribute selection pills within the WooCommerce 'Add to Cart + Options' variation selector. This requires modifying the frontend styling of the plugin to prevent visual cues suggesting disabled options are clickable.
A customizable, open-source ecommerce platform built on WordPress. Build any commerce solution you can imagine.
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WooCommerce is a customizable, open-source e-commerce platform built on WordPress, solving the need for flexible and extensible online stores. Its key features include extensive customization options, a large plugin ecosystem, and seamless integration with WordPress's content management system.
直播带货工具,支持抖音小店、巨量百应、抖音团购、小红书千帆、视频号、快手小店平台,能自动弹窗,自动发言,AI助力回复
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oba-live-tool is a live commerce tool supporting multiple platforms (Douyin, Juliang Baiying, Xiaohongshu, etc.). It automates pop-ups, messaging, and leverages AI for customer replies, streamlining live streaming sales and improving efficiency.
AI Summary: The task is to replace the placeholder names like "African 01" in the Camo Faces Redux mod's stringtable with the correct vanilla Arma 3 names for the corresponding faces. This involves finding the correct names within the Arma 3 game files and updating the XML stringtable accordingly.
Camo Faces Redux is a Rewrite of the Camo Faces Mod, which enables Players to camouflage their faces in Arma3
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CamoFacesRedux is a revamped Arma 3 mod that allows players to customize their in-game facial appearance for better camouflage and immersion. It offers improved functionality and performance compared to its predecessor, Camo Faces, providing a wider range of customization options.
AI Summary: Debug and fix an issue where the in-game phone and radio UI fail to appear in the FiveM server HighLife Roleplay. The user has already tried reinstalling FiveM, removing NVE/Reshade, and deleting NUI storage, suggesting a deeper problem within the game's configuration or code.
Open source feature configuration and issue tracker for the FiveM server HighLife Roleplay
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HighLife is an open-source tool designed to manage feature configurations and track issues within the FiveM server, HighLife Roleplay. It streamlines server administration by providing a centralized platform for managing features and resolving reported problems.
AI Summary: Implement pagination for the project and sample views in the existing React frontend (UI) application. Utilize the already existing paginated backend API endpoints provided at `http://localhost:8002/docs#/Projects/get_projects_projects_get` to fetch and display a limited number of projects/samples per page, allowing users to navigate through multiple pages of results.
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The viz-annotation project lacks a description and README, making it impossible to summarize its problem-solving capabilities and key features. Further information is needed to provide a meaningful summary.
AI Summary: Reconnect and test a dishwasher that has been offline since a previous drain issue. This involves reconnecting power and water, confirming waste connections, and running a cleaning cycle.
🏡 👩💻 💡 home is where you can [learn to] build the future surrounded by like-minded creative, friendly and [intrinsically] motivated people focussed on health, fitness and making things people and the world need!
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Home is a collaborative project focused on fostering a community of health-conscious, creative individuals. It provides a supportive environment for learning and building projects that address real-world needs, connecting like-minded people to work together.
AI Summary: Debug a Nuxt 3 application where query parameters are not correctly applied after hydration of a prerendered page. The issue involves dynamic styling based on query parameters not updating after the initial page load, although text interpolation works correctly. A CodeSandbox reproduction is provided.
The Intuitive Vue Framework.
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Nuxt.js is a framework that simplifies building Vue.js applications by providing features like server-side rendering, routing, and automatic code splitting. It solves the challenges of building complex, performant Vue applications by offering a structured and streamlined development experience.
AI Summary: Debug and fix an issue where adding a debit card to pay for an Expensify subscription on MacOS (Chrome/Safari) unexpectedly prompts the user to add bank details. The issue needs to be resolved in the New Expensify application, ensuring debit cards can be used for subscription payments without requiring additional bank account information. The fix should be cross-platform compatible.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Debug and fix the failing tests in `test_upgrade.py` within the `i18n-check` project. The tests are failing due to unexpected behavior related to the project's releases, causing tests to stall and potentially reverting git changes. The solution likely involves adjusting the test logic to correctly handle the presence of releases.
Check i18n/L10n keys and values
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i18n-check is a tool designed to verify the completeness and consistency of internationalization (i18n) and localization (L10n) keys and values within a project. It helps identify missing translations, inconsistencies, and potential errors, ensuring a smoother and more accurate multilingual experience.
AI Summary: Investigate and resolve Android app update issues. The current update process requires a full reinstallation instead of an in-place update, leading to users needing to re-register their devices. Explore solutions such as F-Droid distribution to improve the update mechanism and potentially add app version display in the admin panel for better device management. Consider cleaning up old device registrations.
Cash and cashless register, order management engine, festival cashless, accepts local currencies. Designed as a point-of-sale federation.
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LaBoutik is a point-of-sale (POS) system designed to manage orders and transactions, both cash and cashless, including support for multiple local currencies. It functions as a federated system, offering scalability and flexibility for various businesses, particularly useful in festival settings requiring cashless payment options.
AI Summary: Enhance Bruno's variable overview page by removing double quotes from variable values, adding type indicators (icons or colors), and implementing a 'copy to clipboard' button for each variable to improve user experience and ease of access to variable data.
Opensource IDE For Exploring and Testing API's (lightweight alternative to Postman/Insomnia)
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Bruno is an open-source, lightweight IDE designed for exploring and testing APIs, offering a streamlined alternative to heavier applications like Postman or Insomnia. Its key features focus on ease of use and rapid API interaction, simplifying the development workflow for API consumers.
AI Summary: The issue requests clarification on whether a 'fax' action is tied to a specific application and requires a link to the relevant API documentation for that service or operation. The task involves researching Pipedream's available actions and identifying if a fax-related action exists, then providing the associated API documentation link if found.
Connect APIs, remarkably fast. Free for developers.
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Pipedream is a fast and free platform for connecting APIs, enabling developers to quickly integrate various services and automate workflows. Its key features include ease of use and rapid development, eliminating the complexities of traditional API integration.
AI Summary: The task is to debug and fix a bug in the FileBaseContext Entity Framework Core provider where complex types are not being properly saved to the file-based database. The issue arises when using complex types as either reference or value types, even when explicitly mapped as complex properties. The solution likely involves investigating how FileBaseContext handles serialization of complex types and adjusting its behavior to correctly include them in the JSON output.
FileBaseContext is a provider of Entity Framework 7 & 8 & 9 to store database information in files.
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FileBaseContext solves the problem of needing a database without a traditional database server by providing Entity Framework 7, 8, and 9 support for storing data in files. This allows developers to easily persist data using familiar EF Core patterns without the overhead of a database server.
AI Summary: Investigate a failed test case ('TestLoopsIfs') from a JavaFX application. The test failure is indicated by log and video files. The application uses a MySQL database managed via Docker. The task involves reviewing the provided log and video files to understand the cause of the test failure within the Human Creator application.
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The project's purpose is undefined due to missing information. Without a description or README, it's impossible to determine the problem it solves or its key features.
AI Summary: Debug and fix a bug in the HighLife Roleplay FiveM server where the DMV driving test screen fails to load, preventing players from progressing in the game. This involves analyzing provided logs, video footage, and potentially modifying game code based on findings.
Open source feature configuration and issue tracker for the FiveM server HighLife Roleplay
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HighLife is an open-source tool designed to manage feature configurations and track issues within the FiveM server, HighLife Roleplay. It streamlines server administration by providing a centralized platform for managing features and resolving reported problems.
AI Summary: Debug and fix two minor bugs related to the Dify /signin page. Bug 1: The login button remains disabled even when the password is auto-filled by the browser. Bug 2: The page doesn't redirect to the main application page after a successful login if the user directly navigates to /signin.
Production-ready platform for agentic workflow development.
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dify is a production-ready platform designed to streamline the development of agentic workflows. It solves the challenge of building and managing complex, autonomous processes by providing a robust and efficient environment for their creation and deployment.
AI Summary: Improve the user experience of the CodeVault CLI tool by displaying informative messages when the vault is empty or a search yields no results. This involves modifying the `cli.py` file to check for empty results and print appropriate messages to the console.
code-vault is a terminal-based Windows CLI tool for securely storing, encrypting, tagging, and retrieving reusable code snippets with powerful search support.
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code-vault is a Windows command-line interface (CLI) tool that addresses the need for secure code snippet management. It allows users to encrypt, tag, and search their code snippets efficiently, promoting code reusability and organization.
AI Summary: The task is to fix an unspecified issue ('Some Issue') within the 'randomCatFacts' project. The details of the issue are limited to 'Let's Fix IT', requiring further investigation to understand the problem and implement a solution.
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The randomCatFacts project addresses the need for readily available, entertaining cat facts. Its key feature is the provision of a random cat fact upon request, offering a fun and engaging user experience.
AI Summary: Debug a Nuxt 3 application where server-fetched data using `useAsyncData` in a lazily hydrated component is being refetched on the client-side, leading to unnecessary API calls. The task involves analyzing the provided StackBlitz reproduction, understanding Nuxt's hydration process, and identifying why the server-side data isn't properly utilized by the client.
The Intuitive Vue Framework.
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Nuxt.js is a framework that simplifies building Vue.js applications by providing features like server-side rendering, routing, and automatic code splitting. It solves the challenges of building complex, performant Vue applications by offering a structured and streamlined development experience.
AI Summary: Integrate React Router into the existing React frontend of the Screen Time Recorder application to manage navigation between different views or pages. This involves installing the necessary package, configuring routes, and updating component structure to utilize the router for navigation.
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Screentime-recoder is a project whose purpose is to track and record screen time usage. While the specifics are undefined, it likely aims to help users understand and manage their digital consumption by providing data on app usage and overall screen time.
AI Summary: Implement a `--version` flag for the CodeVault CLI tool that prints the current version number (e.g., CodeVault v0.1.0) to the console. This involves modifying the `cli.py` file to handle the new flag and access version information, likely from a version file or a constant within the code.
code-vault is a terminal-based Windows CLI tool for securely storing, encrypting, tagging, and retrieving reusable code snippets with powerful search support.
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code-vault is a Windows command-line interface (CLI) tool that addresses the need for secure code snippet management. It allows users to encrypt, tag, and search their code snippets efficiently, promoting code reusability and organization.
AI Summary: Debug why the i18n-check CLI isn't correctly reading the .i18n-check.yaml configuration file path within GitHub Actions workflows. This involves investigating the CLI's file path handling (specifically `generate_config_file.py`), potentially improving its robustness, and testing the fix within a GitHub Actions environment.
Check i18n/L10n keys and values
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i18n-check is a tool designed to verify the completeness and consistency of internationalization (i18n) and localization (L10n) keys and values within a project. It helps identify missing translations, inconsistencies, and potential errors, ensuring a smoother and more accurate multilingual experience.
AI Summary: Integrate RmlUi into an existing C++/CUDA project (3D Gaussian Splatting renderer) to create a Blender-style user interface, alongside maintaining ImGui for debugging. This involves designing and implementing the UI elements (tool panels, property editors, etc.) using RmlUi, and integrating it seamlessly with the existing rendering pipeline.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
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This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: Implement Visual SLAM (Simultaneous Localization and Mapping) to replace the Colmap dependency in the 3D Gaussian Splatting project. This involves creating a system to estimate camera poses and build a 3D map without relying on pre-existing structure from motion data. The initial goal is to generate pose priors for global bundle adjustment.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
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This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: Implement a visualization tool for the 3D Gaussian Splatting project to display COLMAP camera positions and dataset images before training. This involves creating a 3D viewer showing camera frustums, integrating an image browser for dataset images, and adding GUI controls for navigation and validation. The goal is to improve scene understanding and allow users to verify dataset integrity before starting the computationally expensive training process.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
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This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: The task is to create technical blog posts or short videos about Spring AI Alibaba and JManus, and share them on developer communities and video platforms. Participants will receive prizes based on the quality and popularity of their submissions. The content must be original, clear, and avoid sensitive topics or advertising.
Agentic AI Framework for Java Developers
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spring-ai-alibaba is a Java framework facilitating the development of agentic AI systems. It simplifies the creation and management of intelligent agents, addressing the complexity often associated with building such systems.
AI Summary: Implement key editing features from the Splatshop project (brush selection, deletion, basic transformations, undo/redo) into the existing 3D Gaussian Splatting C++/CUDA renderer. Future phases involve adding a layer system and advanced features like painting and asset management.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
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This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: Create a simple `index.html` file for the RubySchema website's homepage, placing it in the `dist` folder to make it publicly accessible. The content of the `index.html` file should provide a brief overview of the RubySchema project.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Implement user authentication and authorization for the Flask-based IT ticket tracking system to protect sensitive routes like adding, editing tickets, and viewing troubleshooting details. This involves integrating a login system (e.g., Flask-Login), using decorators to restrict access to specific routes, handling redirects for unauthorized users, and ensuring secure session management and logout functionality.
A Flask-based IT ticket tracking system with MySQL backend.
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Clarus is a Flask and MySQL-based IT ticket tracking system designed to streamline the management of IT support requests. Key features include a user-friendly interface for submitting, tracking, and resolving tickets, providing a centralized solution for efficient IT support.
AI Summary: The task involves verifying the lazy evaluation behavior of existing raster processing functions within the Sertit library, particularly concerning Dask integration. This includes creating functions to detect lazy arrays, ensuring consistent lazy evaluation in Dask tests and eager evaluation in NumPy tests, documenting the lazy/eager nature of each function, and updating the project roadmap.
SERTIT library for generic tools
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sertit-utils is a Python library providing generic tools for various tasks. It solves the problem of needing reusable, efficient functions for common data processing and manipulation, improving code maintainability and reducing redundancy.
AI Summary: Debug and fix a particle fluid simulation in C++/OpenGL where applied forces are not affecting particle movement. The issue lies within the `Particle.cpp` update and apply functions, and potentially the `Simulation.cpp` loop function. The goal is to correctly apply forces to particles based on left and right mouse clicks.
A particle fluid simulation
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This project simulates fluid dynamics using a particle-based approach. It solves the problem of visually representing and interacting with fluid behavior, offering a dynamic and realistic simulation.
AI Summary: The user is experiencing issues using the dynamixel_hardware_interface package with MX28AT and MX106 motors. Fast bulk read is failing, resulting in a fallback to normal bulk read. The task involves debugging the communication between the ROS 2 system and the Dynamixel motors, likely requiring examination of the URDF configuration, hardware setup (serial port, baud rate), and the dynamixel_hardware_interface code itself to identify why fast bulk read is failing and resolve the communication errors indicated by error code -3001 and -3002.
ROS 2 package providing a hardware interface for controlling Dynamixel motors via the ros2_control framework. This repository includes the dynamixel_hardware_interface plugin for seamless integration with ROS 2.
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The dynamixel_hardware_interface ROS 2 package provides a plugin for controlling Dynamixel motors. It integrates seamlessly with the ros2_control framework, simplifying the process of adding Dynamixel actuators to robotic systems.
AI Summary: Rename the `state` property in ZenKit's `MovableObject.hh` to `stateNum` and update its documentation to reflect that it stores the number of states, not the current state, aligning with the save game data and OpenGothic's implementation.
A re-implementation of file formats used by the early 2000's ZenGin
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ZenKit is a project that re-implements file formats from the early 2000s ZenGin game engine. This allows for easier access and modification of game assets, solving the problem of limited tools for working with these older formats. Key features include the ability to read and write these files, potentially enabling modding and preservation efforts.
AI Summary: Debug a build process issue in the BetterSEQTA+ Chrome extension where the build script inexplicably consumes a large amount of disk space. The issue occurs on Microsoft Edge when building version 3.4.7 and involves a file outside the repository directory growing unexpectedly during the build process. The task requires identifying the root cause of the excessive disk space usage and fixing it to ensure the build process runs efficiently without consuming excessive disk space.
A continuation of development of the BetterSEQTA chrome extension.
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BetterSEQTA-Plus continues development of the BetterSEQTA Chrome extension, enhancing its functionality to address limitations in the SEQTA Learn platform. Key features aim to improve user experience and efficiency by streamlining tasks and providing additional features not available in the base platform.
AI Summary: Update the example screenshot in the Patch Pulse CLI README.md file to reflect the output of the tool's version 2.
A cli tool to identify out of date package.json dependencies.
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The `cli` tool addresses the problem of outdated dependencies in `package.json` files. It efficiently identifies outdated packages, providing developers with a clear overview of which dependencies require updates to ensure optimal performance and security.
AI Summary: The task is to debug and fix a bug in Apache DolphinScheduler's Kubernetes deployment where the api/master/worker components fail to reconnect to ZooKeeper after a ZooKeeper pod restart due to Pod IP changes. The solution requires investigating the ZooKeeper client connection handling within DolphinScheduler, potentially modifying its configuration or code to enable automatic reconnection using service names instead of IP addresses, and ensuring robust handling of IP address changes in a Kubernetes environment. A pull request with the fix is expected.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
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Apache DolphinScheduler is a modern data orchestration platform designed to efficiently manage complex workflows. It addresses the need for agile and high-performance data processing by offering a low-code interface for creating and managing workflows.
AI Summary: Implement aggressive code splitting and lazy loading in a React/TypeScript application to reduce initial bundle size and improve performance. This involves refactoring route configurations to use React.lazy() and Suspense, optimizing Vite's chunking configuration, and adding loading indicators for a better user experience. The goal is to achieve at least a 30% reduction in initial bundle size and a noticeable improvement in load times.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: The Arma 3 mod, Camo Faces Redux, is experiencing errors where textures and material files for face paints are failing to load. The task is to debug and fix these loading errors, likely involving checking file paths, ensuring the necessary textures and materials exist in the specified locations, and potentially correcting any issues with the model's configuration files (p3d and rvmat).
Camo Faces Redux is a Rewrite of the Camo Faces Mod, which enables Players to camouflage their faces in Arma3
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CamoFacesRedux is a revamped Arma 3 mod that allows players to customize their in-game facial appearance for better camouflage and immersion. It offers improved functionality and performance compared to its predecessor, Camo Faces, providing a wider range of customization options.
AI Summary: Fix a bug where users can bypass the onboarding modal by using the back button, leading to an incomplete onboarding experience and unexpected redirection to the Concierge. The bug is reproducible on both staging and production environments across various browsers on Windows and MacOS. The solution requires identifying the root cause of the back button behavior within the onboarding modal and implementing a fix to prevent the unexpected navigation.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a viewer-only mode for the 3D Gaussian Splatting project, allowing users to load and visualize pre-trained models without the training pipeline. This involves loading splat data from a .ply file, setting up a camera (either from COLMAP data or a default), integrating the viewer with existing rendering capabilities, and ensuring efficient performance.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
More
This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: Implement template-level caching in the Wagtail BakeryDemo project, specifically focusing on template fragment caching as documented in the Wagtail documentation. This involves identifying suitable template fragments within the existing project and applying the appropriate caching mechanisms to improve performance.
Next generation Wagtail demo, born in Reykjavik
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bakerydemo is a cutting-edge Wagtail demo showcasing advanced features and best practices. It solves the problem of needing a visually appealing and functional example for building websites with Wagtail, providing a modern, Reykjavik-inspired design.
AI Summary: Add a 'hidden' attribute to projects within the BlueKing Continuous Integration platform (bk-ci). This allows for selective visibility control over projects.
蓝鲸持续集成平台(蓝盾)
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bk-ci (BlueKing Continuous Integration Platform) is a CI/CD platform designed to automate the software build, test, and deployment process. It streamlines the software release lifecycle, improving efficiency and reducing errors for BlueKing's internal development.
AI Summary: Implement a configurable logo link in the `book-theme` navigation bar. This involves modifying the `HomeLink` component in the `@myst-theme/site` package to accept a custom URL from site configuration (e.g., via frontmatter or a site-level configuration file), allowing users to specify a different link for the logo than the default `/`.
Packages for creating MyST websites themes using React and Remix
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myst-theme provides packages for building MyST-compatible website themes using React and Remix. It solves the problem of creating visually appealing and easily customizable websites from MyST markdown content, offering a streamlined development experience with popular frameworks.
AI Summary: Refactor the C++/CUDA 3D Gaussian Splatting trainer to run in a separate thread when a GUI is enabled, allowing the GUI to be the main entry point. Implement GUI controls (stop/resume, save, exit) to manage the training process, ensuring thread-safe communication and graceful handling of training state.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
More
This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: Deprecate the 'with' methods in the Apache Log4j 2.x branch by adding equivalent 'set' methods and marking the 'with' methods as deprecated. This ensures API consistency between 2.x and the upcoming 3.x version, providing a smoother upgrade path for users.
Apache Log4j is a versatile, feature-rich, efficient logging API and backend for Java.
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The logging-log4j2 project provides a robust and efficient logging solution for Java applications using Apache Log4j 2. It addresses the need for reliable and flexible logging, offering features like different appenders, log levels, and filters to manage and analyze application logs effectively.
AI Summary: Fix a bug where the 'Emails-Pay' button is incorrectly displayed in the IOU preview email sent to the payment receiver, even when the payment has already been made. The bug is reproducible on MacOS Chrome/Safari and potentially other platforms. The task involves investigating the issue, identifying the root cause within the notification component, and implementing a fix to prevent the button from showing in completed payment scenarios.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement smooth scrolling functionality for the navigation bar links on a restaurant website. This involves modifying the existing HTML and CSS to create a smooth transition instead of an abrupt jump when a navigation link is clicked.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Implement enhanced camera controls for a 3D Gaussian Splatting viewer, including orbit and first-person modes, and a GUI control widget to switch between them. This involves modifying existing viewer code to add new camera movement logic and a user interface element.
3D Gaussian Splatting, reimagined: Unleashing unmatched speed with C++ and CUDA from the ground up!
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This project, gaussian-splatting-cuda, accelerates 3D Gaussian splatting rendering significantly by leveraging C++ and CUDA. It solves the performance limitations of existing implementations by providing a highly optimized, from-the-ground-up solution for faster and more efficient rendering of complex 3D scenes.
AI Summary: Implement a dark mode feature for a restaurant website built with HTML and CSS. This involves creating a dark theme stylesheet or using CSS variables to toggle between light and dark themes, potentially with a user interface element to switch between them.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Implement functionality for a website's navbar to collapse or close after clicking on a section link. This involves modifying the existing HTML and CSS to create a responsive navbar that hides after a section is selected.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Implement a loading indicator in the frontend of a before-after map generator application to improve user experience while maps are loading. The indicator should be displayed in the map area until the before-after maps are fully loaded.
Generate before-after maps for OpenStreetMap with ease.
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The 'before-after' project simplifies the creation of before-and-after maps using OpenStreetMap data. It addresses the need for easily visualizing changes over time by providing a streamlined process for generating these comparative maps.
AI Summary: The user needs help publishing code coverage results from dotnet test within an Azure DevOps pipeline. They are using the DotNetCoreCLI task and generating an .trx file, but the code coverage data isn't being published. The question focuses on the correct configuration and arguments to achieve this.
Tasks for Azure Pipelines
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The azure-pipelines-tasks project provides a collection of reusable tasks for automating build, test, and deployment processes within Azure Pipelines. These tasks streamline workflows by offering pre-built functionalities for common DevOps operations, improving efficiency and reducing manual effort.
AI Summary: Implement a toggle icon in the Flowkeeper desktop application that enables or disables sound, mirroring the functionality of the existing "Settings > Audio > Enable" option. This involves creating a new UI element (the icon) and linking its on/off state to the application's sound settings.
Flowkeeper desktop application
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fk-desktop is a desktop application for Flowkeeper, addressing the need for a more convenient and accessible user interface outside of a web browser. Key features likely include offline functionality and enhanced desktop integration for improved workflow management.
AI Summary: The task involves investigating a failed test case ('TestLoopsIfs') from a JavaFX application. The application uses a MySQL database (run via Docker). Debugging will require examining log files, video recordings, and potentially the application's code to identify the cause of the test failure.
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The project's purpose is undefined due to missing information. Without a description or README, it's impossible to determine the problem it solves or its key features.
AI Summary: Debug and fix an issue where Apple Sign-in is failing on iOS for the New Expensify app (staging environment). The bug prevents users from logging in using Apple credentials. The solution requires investigating the login flow, identifying the root cause of the error, and implementing a fix. Testing on an iPhone 8 simulator or device is necessary to validate the fix.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
The backend of Smithy, an open-source project and task platform.
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Smithy-backend provides the server-side infrastructure for Smithy, an open-source project and task management platform. It handles data persistence, user authentication, and API endpoints for managing projects and tasks, solving the need for a robust and scalable backend for collaborative work.
AI Summary: This task requires building a map component and a database for mutual aid flags, then linking them together and testing. The project uses Flutter, Firebase, and a clean architecture. Existing infrastructure is in place for Android, iOS, and web deployment, but the CI/CD pipeline currently only supports web deployment. This task focuses on adding a map feature, requiring integration with a map API (not specified) and database management.
Auto30_next開發中
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Auto30_next is a project currently under development. Further details about its problem-solving capabilities and key features are unavailable at this time due to limited information.
AI Summary: Add a definition for the term "command-line interface (CLI)" to the existing glossary within the Ubuntu project documentation. The glossary file is a MyST Markdown file, and resources are provided for guidance.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: This task requires modifying the Oasis Nexus indexer to track application activity timestamps (first and last). This involves updating the indexing process to capture these timestamps and store them in the database. Finally, the API endpoint needs to be updated to allow ordering application results by the latest activity timestamp.
Official indexer for the Oasis Network.
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Nexus is the official indexer for the Oasis Network, solving the problem of efficiently accessing and querying blockchain data. It provides a streamlined interface for developers to interact with Oasis Network data, offering improved performance and ease of use compared to directly querying the blockchain.
AI Summary: The ThingsBoard IoT Gateway, running in a Docker container on Windows 11, shows an "Inactive" status despite appearing to connect to the ThingsBoard server. The issue likely stems from the gateway awaiting remote configuration (connectors) which haven't been defined yet, and a warning about a failed TLS connection. Troubleshooting involves verifying the ThingsBoard server configuration, ensuring the correct port (1883) is accessible, and potentially configuring TLS if required. The lack of error messages suggests a configuration problem rather than a code bug.
Open-source IoT Gateway - integrates devices connected to legacy and third-party systems with ThingsBoard IoT Platform using Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC and REST protocols
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Thingsboard-gateway is an open-source project that solves the problem of integrating diverse IoT devices with the ThingsBoard platform. It achieves this by supporting a wide range of communication protocols, including Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC, and REST, enabling seamless connectivity for legacy and third-party systems.
AI Summary: Add a definition for the 'Code of Conduct' term to an existing glossary within the Ubuntu project documentation. This involves editing a Markdown file (glossary.md) using MyST syntax, referencing provided links to the glossary file and MyST documentation.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: Add a definition for the term "branch" to the existing glossary entry within the Ubuntu Project documentation. This involves editing a Markdown file (glossary.md) using MyST syntax, referencing provided links to the glossary file and MyST documentation.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: Add a definition for the term "chroot" to the glossary of the Ubuntu Project documentation. This involves editing a markdown file on GitHub and may require familiarity with MyST Markdown syntax.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: Add a definition for the term "Closed-source software" to an existing glossary entry within the Ubuntu Project documentation. The glossary is written in MyST Markdown and hosted on GitHub and Read the Docs.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: Add a definition for the term "code name" to the existing glossary within the Ubuntu Project documentation. The glossary file is a MyST Markdown file, and resources including the file location and published documentation are provided.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: Investigate and resolve an issue where the macOS download of the Just Natsuki installer is not functioning correctly. The user is receiving a document instead of an executable application. This requires analyzing the installer build process for macOS, identifying the error causing the incorrect file type to be generated, and correcting the issue to produce a functional installer.
The official repository of Team JN.
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NatsukiModDev is the official repository for Team JN's modding projects, focusing on creating and maintaining modifications for the visual novel Doki Doki Literature Club!. It addresses the community's desire for expanded content and gameplay experiences by offering a collection of mods developed and maintained by the team.
AI Summary: Debug and fix a bug in a fishing game plugin where lottery pool settings (items and weights) are not saved after plugin reload. The issue is that changes made to two lottery pools are reverted to their previous state upon plugin restart.
电子钓鱼小游戏
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astrbot_plugin_fishing is a small electronic fishing game plugin. It provides a fun, casual game experience, solving the problem of needing light entertainment within a larger application or system.
AI Summary: The task is to refactor the DeepInverse PyTorch library's Trainer class to decouple its visualization functionality. Currently, visualizations are handled using matplotlib and Weights & Biases (wandb), controlled by boolean flags. The goal is to create a more flexible and extensible system using a custom `VisLogger` class with a defined interface, allowing users to easily integrate different visualization tools without modifying the core Trainer code. This involves designing the `VisLogger` interface, implementing the refactoring in the Trainer, and updating relevant documentation.
PyTorch library for solving imaging inverse problems using deep learning
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DeepInv is a PyTorch library designed to tackle imaging inverse problems using deep learning techniques. It simplifies the process of building and training deep learning models for tasks like image reconstruction and denoising, offering a streamlined and efficient workflow for researchers and practitioners.
AI Summary: Update the Layer5 website's call to action elements. This involves replacing the existing `LearnServiceMeshCTA` with `KanvasCTA` or another suitable CTA across the site. The website uses Gatsby, React, and is hosted on GitHub Pages. The task requires familiarity with these technologies and the website's codebase.
Layer5, expect more from your infrastructure
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Layer5 aims to improve the observability and management of service meshes, solving the problem of complex and fragmented service mesh deployments. Key features include providing a standardized control plane and offering tools for easier deployment, monitoring, and troubleshooting of service meshes across various platforms.
AI Summary: The task is to resolve an `AlreadyExists` error encountered when running multiple Neqo benchmarks with QLOG enabled. The error stems from the server QLOG file always being named `server.sqlog`, leading to conflicts on subsequent runs. A solution requires modifying the `test_fixture` to incorporate connection IDs into the server QLOG filename, but this may involve non-trivial changes due to limitations in accessing connection IDs at the current stage of the server setup.
Neqo, the Mozilla Firefox implementation of QUIC in Rust
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Neqo is a Rust implementation of the QUIC protocol, designed to improve the performance and security of internet connections within the Mozilla Firefox browser. It addresses the limitations of traditional TCP by providing features like multiplexing, connection migration, and improved congestion control.
AI Summary: The task involves analyzing the provided project and issue information to understand the requirements. The project appears to be a blog hosted on GitHub Pages, and the issue likely requires some form of update or modification to the blog. More details are needed to fully define the task.
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Without access to the project's code or website (aswind7.github.io), a specific summary cannot be provided. The project's purpose and features are unknown given the lack of information.
AI Summary: Create a comprehensive README.md file for a personal project that analyzes Teamfight Tactics match data using the Riot API. The README should clearly outline the project's purpose, goals (data fetching, cleaning, analysis, visualization), technology stack (Python, Pandas, Matplotlib, Riot API), current status, and any relevant disclaimers.
Track your comps, placements, and performance in Teamfight Tactics using Riot’s API.
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tft-analyzer uses Riot's API to track Teamfight Tactics game data, solving the problem of manually tracking compositions, placements, and overall performance. Key features include automated data collection and analysis to help players improve their gameplay.
AI Summary: The task involves analyzing a project README describing performance testing for the RWKV language model using three different methods (web-rwkv, RWKV pip, llama.cpp). Based on provided issue data showing web-rwkv test results on an NVIDIA RTX 4060Ti, no further action is needed beyond summarizing the provided information and rating the task's fun and complexity.
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The RWKV-Inference-Performance-Test project aims to evaluate the inference speed and efficiency of the RWKV language model. It focuses on benchmarking performance across different hardware and software configurations to identify bottlenecks and optimize inference time.
AI Summary: The task involves creating a custom `Pyomarkers` class in Python to replace the existing Pyomeca dependency within the Pyorerun project. This class will handle 3D marker data (locations, time, labels) from C3D files, removing the need for the external Pyomeca library. Testing within the project's test suite is also required.
Rerun c3d files, biorbd, OpenSim models from python.
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pyorerun is a Python library that simplifies rerunning simulations from C3D files using biorbd and OpenSim models. It streamlines the process, eliminating the need for manual intervention and improving workflow efficiency for biomechanical analyses.
AI Summary: Update the link in the GoFr documentation's 'More Examples' section to correctly point to the examples directory within the GoFr GitHub repository. The current link is broken and needs to be fixed to accurately reflect the location of the example projects.
An opinionated GoLang framework for accelerated microservice development. Built in support for databases and observability.
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gofr is a GoLang framework streamlining microservice creation. It addresses the complexities of building microservices by providing built-in database support and observability features, accelerating development and deployment.
AI Summary: Develop a custom, integrated chunking and vectorizing pipeline within the helix-py library. This pipeline should accept text and data as input, chunk it based on configurable rules, vectorize the chunks, and upload the resulting vectors to a HelixDB instance using HelixDB queries. The goal is to streamline the process of preparing data for use with HelixDB RAG agents.
HelixDB Python library for easy rag agents
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helix-py is a Python library simplifying the creation of RAG (Retrieval Augmented Generation) agents. It leverages the HelixDB database for efficient data storage and retrieval, enabling developers to build powerful and scalable RAG applications with ease.
AI Summary: The task is to debug a BIOMOD2 R code snippet that produces a "subscript out of bounds" error when using a user-defined cross-validation strategy. The error occurs within the `BIOMOD_Modeling` function, specifically when using the 'user.defined' CV strategy with a custom table (`mySplitTable`). The solution involves investigating the structure and content of `mySplitTable` to ensure it's correctly formatted and compatible with BIOMOD2's expectations for user-defined cross-validation, potentially involving debugging the data preparation steps or the `BIOMOD_Modeling` function call itself.
BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships.
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Biomod2 is a platform for ensemble forecasting of species distributions, addressing uncertainties inherent in ecological niche modeling. Key features include handling multiple modeling methods and evaluating the robustness of predictions through ensemble approaches, improving the reliability of species distribution forecasts.
AI Summary: Fix a bug in the `prepare_data` function within the `data.py` file of the Sheet Music Transformer project. The bug causes incorrect image resizing and aspect ratio distortion in some cases, specifically when the image is clipped to 256 pixels during resizing. The solution involves modifying the image resizing logic to ensure that the aspect ratio is always maintained.
Official implementation of the Sheet Music Transformer
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SMT is an official implementation of the Sheet Music Transformer, a model designed to address the challenges in music transcription and generation. Key features include its ability to process and generate sheet music, leveraging the power of transformer networks for improved accuracy and efficiency.
AI Summary: Implement a whitelist feature for the image blur extension. This requires adding functionality to allow users to specify websites where images should not be blurred, effectively exempting them from the extension's blurring effect. The user interface should allow adding and removing websites from this whitelist.
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The blur-extension project aims to address the lack of a simple, effective way to blur sensitive information on a screen. It likely provides a browser extension with key features such as customizable blur intensity and region selection, enabling users to quickly protect sensitive data displayed on their screen.
AI Summary: The user is experiencing an error with the `nuxt-link-checker` module after updating `@nuxt/content` to version 3.6.0. The error stems from an outdated import statement within `nuxt-link-checker` that references a function removed in `@nuxt/content` 3.6.0. The task involves investigating the `nuxt-link-checker` codebase to identify and correct the outdated import, ensuring compatibility with the latest `@nuxt/content` version.
Find and magically fix 12+ link issues that may be negatively effecting your Nuxt SEO.
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nuxt-link-checker identifies and automatically resolves over a dozen common broken link issues in Nuxt.js projects that can harm SEO, improving website health and search engine rankings.
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The project's purpose and key features are undefined due to missing project description and README. Further information is needed to provide a meaningful summary.
AI Summary: Implement a feature in a sorting algorithm visualizer to display the selected algorithm's pseudocode, step-by-step working, and time complexity (Big O notation) in a responsive manner.
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The project's purpose and key features are undefined due to missing project description and README. Further information is needed to provide a meaningful summary.
AI Summary: Implement a PDF export feature for the Facebook Ads Intelligence web dashboard. This involves generating a formatted PDF report that includes charts, insights, and recommendations derived from the analyzed ad data. The report should be visually appealing and easy to read, summarizing key findings from the competitive intelligence gathered.
Professional-grade competitive intelligence from Facebook Ads Library
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facebook-ads-intelligence provides competitive intelligence by analyzing data from Facebook's Ads Library. It helps businesses understand their competitors' ad strategies, targeting, and creative approaches, enabling informed decision-making and improved campaign performance.
AI Summary: Debug and fix false positive flags triggered by the Minecraft parkour practice mod, PKPrac, on Grim and Vulcan anticheats. This involves investigating packet handling and timing discrepancies caused by the mod's client-side desync feature. The solution may require code modifications and thorough testing to ensure compatibility with various anticheats.
A minecraft parkour practice mod
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PKPrac is a Minecraft mod designed to enhance parkour practice. It provides features to help players improve their skills, such as custom courses and detailed performance tracking.
AI Summary: Enhance the existing Facebook ad scraper to identify additional emotional triggers such as 'exclusivity', 'belonging', and 'authority' within ad copy. This involves adding new keywords or patterns to the scraper's emotional analysis functions and potentially refining existing logic.
Professional-grade competitive intelligence from Facebook Ads Library
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facebook-ads-intelligence provides competitive intelligence by analyzing data from Facebook's Ads Library. It helps businesses understand their competitors' ad strategies, targeting, and creative approaches, enabling informed decision-making and improved campaign performance.
A tool to organize docker components in your monolythic server.
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Wharf streamlines the management of Docker components within monolithic servers, addressing the organizational challenges of complex deployments. It simplifies the process of organizing and interacting with multiple Docker containers, improving efficiency and maintainability.
AI Summary: Modify the otlpeek OpenTelemetry exporter to allow configuration of the number of retained entries per resource group. Currently, this is hardcoded to 100. The change should allow users to specify this number via a configuration file or command-line argument.
otlpeek is an OpenTelemetry exporter that lets you peek into your otlp streams.
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otlpeek is an OpenTelemetry exporter designed to facilitate inspection of OTLP data streams. It provides a simple way to monitor and debug your OpenTelemetry traces and metrics by allowing you to peek into the data being exported.
AI Summary: Integrate a library like `dotenv-java` into the Java backend of the Geo Atlas project to enable automatic loading of environment variables from a `.env` file, improving developer experience by unifying environment variable management across the frontend and backend.
用于构建矢量切片服务的 Java 基础库
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geo-atlas is a Java-based library for building vector tile services. It solves the problem of creating and serving vector tiles efficiently, providing a foundational framework for developers to build custom mapping applications.
AI Summary: Update the `document/benchmark/ed3fc303-b421-4e73-936a-e93a5aada777/README.md` file to reflect changes in the `benchmark.json` data. The `benchmark.json` file is generated from the README files in the `document/benchmark` directory, so changes must be made to the source README file to have an effect.
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The project tjucs-airank-2025 lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task involves converting Jupyter Notebook code for handling missing values in CSV datasets into a modular Python module. This module should read a CSV, apply various missing value imputation techniques (dropping, replacing with fixed values, mean, median, mode, forward/backward fill), evaluate their effectiveness based on defined metrics, select the best strategy, and save the cleaned dataset. The module needs to be well-documented, testable, and handle edge cases.
The Automated Data Preprocessing Toolkit streamlines the data preprocessing stage in machine learning by automating tasks like handling missing values, encoding categorical features, and normalizing data. With a user-friendly interface for easy dataset uploads, it enhances data quality and improves model performance efficiently.
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AutoEDA automates tedious data preprocessing tasks in machine learning, such as handling missing values and encoding categorical features. This toolkit improves data quality and model performance through a user-friendly interface that simplifies dataset uploads and processing.
AI Summary: Add missing docstrings to public classes (ConfigCog, MachineMonitor, MonitoringCog, Database) and their __init__ methods in a Python Discord bot project. Docstrings should describe class purpose, responsibilities, and key attributes, following provided style guidelines. This is part of a larger documentation effort.
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DisPinMap is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Debug a custom action button in the ThingsBoard UI that is failing to trigger an alert, despite other actions working correctly. The issue involves a JavaScript function within a custom action that should display an alert upon button click. The task requires investigating why the alert isn't appearing, potentially involving debugging JavaScript code, checking browser console errors, and verifying ThingsBoard configuration.
Open-source IoT Platform - Device management, data collection, processing and visualization.
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ThingsBoard is an open-source IoT platform that addresses the challenges of managing and visualizing data from connected devices. Its key features include device management, data collection, processing, and visualization capabilities, providing a comprehensive solution for IoT deployments.
AI Summary: The task is to debug a custom action within the ThingsBoard IoT platform. The custom action is intended to read a device attribute ('incontrol_url') and open that URL in a new browser tab. Currently, the custom action is not functioning as expected. The solution requires inspecting the provided JavaScript code, investigating the ThingsBoard widget context and data sources, and potentially adjusting the code to correctly retrieve and use the 'incontrol_url' attribute to open the URL in a new tab.
Open-source IoT Platform - Device management, data collection, processing and visualization.
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ThingsBoard is an open-source IoT platform that addresses the challenges of managing and visualizing data from connected devices. Its key features include device management, data collection, processing, and visualization capabilities, providing a comprehensive solution for IoT deployments.
AI Summary: Enhance the console output of a Rust-based log file scanner to improve user experience. This involves restructuring the file listing, error presentation, progress indicators, and summary dashboard using Unicode box-drawing characters and color coding for better readability and visual appeal. The task requires modifying existing code to incorporate improved formatting and potentially adding configuration options for output verbosity and view modes.
🦊 A lightning-fast, parallel log file error scanner
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RustWatch is a high-performance, parallel log file scanner designed to quickly identify errors within large log files. Its parallel processing significantly reduces scan times compared to sequential methods, improving debugging efficiency.
AI Summary: Update the project's README.md file with links to more high-quality articles, blogs, columns, courses, and knowledge bases related to Java and Spring AI. This involves researching relevant resources and adding them to the existing list in a well-organized manner.
SpringAI,LLM,MCP,Embedding
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SpringAI is a project leveraging Large Language Models (LLMs), Multi-modal Content Processing (MCP), and embeddings to address the challenge of efficiently summarizing information. Its key features likely include the ability to process various data types and generate concise, informative summaries.
AI Summary: Replace all instances of `RuntimeException` in the Spring Boot application's `ResultUploadJobService` and `ResultItemProcessor` with more specific exception types, creating custom exceptions where necessary to improve error handling and code clarity. This involves finding all occurrences using a search tool (like `grep` or an IDE's search functionality) and refactoring the code to use appropriate exceptions.
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The `race-result-api` project (lacking further description) likely provides an API for accessing and managing race results data. This would solve the problem of needing a centralized and accessible data source for race information, potentially offering features like result retrieval, filtering, and potentially data manipulation.
AI Summary: Implement a user setting to enable/disable productivity tips within the Super Productivity application. This setting should ideally allow users to customize or add their own tips via a settings panel or configuration file.
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
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Super Productivity is a powerful todo list application designed to boost productivity by combining timeboxing and time tracking features. Its key strength lies in its integrations with popular project management tools like Jira, GitLab, GitHub, and Open Project, allowing for seamless task management across platforms.
AI Summary: The task involves fixing duplicate heading text used for callout blocks ('Tip', 'Note', 'Try this!') within the p5.js website's tutorials. This requires replacing these generic headings with semantically correct ARIA labeled regions or more descriptive headings to improve accessibility and navigation. The fix should be implemented by modifying the website's source code within the `src/content/` folder, following the project's contribution guidelines.
New p5.js website!
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The p5.js-website project aims to create a new, improved website for the p5.js library, enhancing user experience and accessibility for learning and utilizing the creative coding library. Key features would include updated documentation, tutorials, and community resources.
AI Summary: Translate the Japanese test titles in `test/system/notification/reports_test.rb` to English.
プログラマー向けEラーニングシステム
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Bootcamp is an e-learning system designed to train programmers. It addresses the need for accessible and effective programming education by providing online courses and resources.
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This project, github-contrib, lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task involves reviewing a project with minimal description and a test issue titled "Issue creation test". The issue contains basic markdown formatting and a user mention. The goal is likely to assess the project setup and issue tracking functionality.
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The provided information does not describe a specific project, making it impossible to summarize its problem or features. More context about the 'colab' project is needed.
AI Summary: Implement a check within Hoff to prevent merging of pull requests containing commits with messages including phrases like "revert me" or "do not merge" in their commit messages. This will enhance the safety and reliability of the automated merge process by preventing accidental merges of unwanted or problematic commits.
A gatekeeper for your commits
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hoff acts as a gatekeeper for Git commits, preventing accidental pushes of sensitive information or code that doesn't meet specific criteria. Its key features likely include customizable rules and automated checks to ensure code quality and security before merging.
AI Summary: The issue describes a problem initializing the `zea.Scan` class in a Python script using the `zea` library for ultrasound image processing. The solution requires adding explicit `xlims` and `zlims` attributes to the `scan` object before processing the data. This is likely due to a missing default value or automatic calculation for these limits within the `zea.Scan` class. The task involves understanding the `zea` library's data structure and adding two lines of code to the provided example to set the spatial limits of the ultrasound scan.
zea: A Toolbox for Cognitive Ultrasound Imaging
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Zea is a toolbox designed to improve cognitive ultrasound imaging. It addresses the challenges in interpreting ultrasound images by providing tools for enhanced visualization and analysis, ultimately aiding in more accurate and efficient diagnoses.
AI Summary: Modify the resume builder application to replace the automatic start of the Shepherd.js onboarding tour with a user-initiated 'Start Tour' button. This involves removing the automatic tour start on page load and adding a button to the UI that triggers the tour when clicked.
This is the Resume Builder made with Shepherd Library
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The Resume-Builder project simplifies the process of creating professional resumes using the Shepherd library. It streamlines the creation of visually appealing and well-structured resumes, solving the problem of time-consuming manual formatting and design.
AI Summary: Fix an incorrect JSON key ('name' should be 'projectName') within the `scaffa.json` file generated by the `create-scaffa` CLI tool. The correction should adhere to the JSON schema specified at https://scaffa.vercel.app/schema.json.
All in one pre-setup frontend templates
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Scaffa provides pre-configured frontend templates to accelerate project setup, eliminating the need for manual configuration of common tools and dependencies. It streamlines the initial development process, allowing developers to focus on building features rather than boilerplate.
AI Summary: The task is to debug and fix a bug in the Ruff linter where the fix for invalid-character-backspace (PLE2510) and related rules introduces a syntax error when applied to f-strings in Python versions prior to 3.12. The solution requires modifying Ruff's code to handle backspace characters and other invalid characters within f-string replacements correctly for older Python versions, ensuring compatibility without causing syntax errors.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: The user is experiencing issues acquiring wildcard or multi-domain certificates from SSL.com using Posh-ACME, despite having pre-paid orders. Single-domain certificates (free tier) work correctly. The problem appears to be with SSL.com's account integration with ACME, not Posh-ACME itself. The user is seeking community experience with SSL.com and Posh-ACME, and considering migrating to Let's Encrypt as an alternative.
PowerShell module and ACME client to create certificates from Let's Encrypt (or other ACME CA)
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Posh-ACME is a PowerShell module simplifying the process of obtaining and managing Let's Encrypt (and other ACME CA) certificates. It streamlines certificate acquisition, renewal, and management, eliminating the need for complex command-line interactions.
AI Summary: Resolve discrepancies between the user management UI design, database schema, and project model. This involves discussing and deciding on the appropriate handling of user passwords, administrator privileges, email usage, job titles, and user deactivation, potentially requiring database schema modifications and UI adjustments.
신세계 백엔드 8차수 5조 작업공간
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KDT_TeamProject is a workspace for the 5th team of the 8th cohort of Shinsegae's backend development program. It likely facilitates collaborative development and project management for their assigned tasks.
AI Summary: The task involves debugging and fixing a bug in a chat application where a question mark appended to a URL is incorrectly treated as part of the URL. The solution requires modifying the URL parsing logic to correctly handle question marks, similar to how periods are handled. The bug is reproducible on Windows and MacOS using Chrome and Safari browsers. Testing on other platforms (Android and iOS) is also needed to ensure a comprehensive fix.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
テスト20
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Project test020 (テスト20) lacks a defined purpose or features based on the provided information. Further details are needed to provide a meaningful summary.
AI Summary: The task involves contributing to the development of MediBot AI, a medical chatbot. Specifically, the project needs assistance implementing three new features: prescription analysis (including OCR), speech-to-speech functionality, and a medicine summarizer. This requires cloning the repository, understanding the existing codebase (React frontend, Node.js backend, AI model integrations), and developing and integrating the new features.
MediBot AI – Your not-so-human, never-on-vacation, slightly overqualified AI medical assistant. Built with Ollama + RAG for brainpower, Whisper to hear your complaints, and React to look good while doing it. Finds hospitals, books appointments, tracks your cholesterol like a judgmental auntie, and soon—might even talk back in your language.
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Medibot-AI is an AI medical assistant that addresses the challenges of accessing and managing healthcare by providing appointment scheduling, hospital searches, and health metric tracking. Leveraging Ollama, RAG, Whisper, and React, it offers a user-friendly interface and aims to eventually provide multilingual support.
AI Summary: The task is to investigate and fix a bug in Ruff's PLE2510 (invalid-character-backspace) rule. The fix currently misbehaves when a backslash precedes the backspace character, incorrectly replacing it with '\b' instead of handling the escape sequence correctly. The solution requires understanding Ruff's codebase, particularly the rule's implementation, and modifying it to correctly handle backslash-escaped backspace characters.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: Create the first draft of the Novel Intermediate Language (NIL) specification, version 0.1.0, as a JSON-based document. The specification should be clear, concise, and well-structured, drawing inspiration from the Jupyter Notebook format specification as a reference.
NovelIL (Novel Intermediate Language, NIL) is json-typed intermediate language for developing novel games.
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NovelIL is a JSON-based intermediate language designed to simplify game development. It addresses the complexity of creating games by providing a structured, standardized intermediate representation, improving interoperability and streamlining the development process.
AI Summary: Validate the authenticity and accuracy of the medical datasets used by the MediBot AI project. This involves assessing the data's source, completeness, and potential biases to ensure the AI provides reliable and safe medical information.
MediBot AI – Your not-so-human, never-on-vacation, slightly overqualified AI medical assistant. Built with Ollama + RAG for brainpower, Whisper to hear your complaints, and React to look good while doing it. Finds hospitals, books appointments, tracks your cholesterol like a judgmental auntie, and soon—might even talk back in your language.
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Medibot-AI is an AI medical assistant that addresses the challenges of accessing and managing healthcare by providing appointment scheduling, hospital searches, and health metric tracking. Leveraging Ollama, RAG, Whisper, and React, it offers a user-friendly interface and aims to eventually provide multilingual support.
AI Summary: Before pushing to the `develop` branch of the EasyBank AI project (a financial chatbot for the elderly), ensure you first pull the latest changes from the remote `develop` branch to prevent merge conflicts. This involves checking out the `develop` branch, pulling changes using `git pull origin develop`, resolving any conflicts that arise, and then pushing your changes using `git push origin develop`.
고령층을 위한 금융 AI 서비스
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EasyBank is a financial AI service designed to address the financial needs of the elderly. It simplifies complex financial tasks, providing an intuitive and accessible platform for managing finances.
AI Summary: Add a link to the F3D library's Doxygen documentation (https://f3d.app/doc/libf3d/doxygen/) to the 'External Links' section of the project's documentation, as specified in the project's configuration file (_config.toml).
Fast and minimalist 3D viewer.
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f3d is a fast, minimalist 3D viewer supporting various file formats (glTF, USD, STL, etc.), animations, and rendering options including ray tracing. It offers command-line control, configuration files, and a lightweight C++17 library (libf3d) with Python bindings for easy integration.
AI Summary: Implement a K-means clustering algorithm in Python or C++, testing it on a small 2D dataset with 3 clusters and 10 points. The implementation should include centroid initialization, point assignment, and centroid updates until convergence. The code should be well-structured and include a README explaining the approach and showing sample results.
ml-core is a community-driven, Python-based machine learning repository structured into specialized domains like computer vision, NLP, time series, and more. It serves as a curated hub for projects, notebooks, and model implementations — ideal for learning, collaboration, and contribution.
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ml-core is a Python-based machine learning repository addressing the need for a centralized, community-driven resource for various ML domains. It offers curated projects, notebooks, and model implementations, facilitating learning, collaboration, and contributions across computer vision, NLP, time series, and more.
AI Summary: The task is to address issue 'My4th', described as 'test', within the 'MySite' project. The project uses Gmeek and is a blog with existing content (3 posts, 12 hibiscus emojis, and a last update timestamp). The nature of 'test' is unclear and requires further investigation to determine the specific requirements.
MySite
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Monsieur-Q.github.io is a personal website (MySite) that serves as an online portfolio and potentially a blog or information hub for the user. It solves the problem of needing a centralized online presence to showcase work and connect with others.
AI Summary: The task is to improve the JSON serialization of the Python API within the Grafana Foundation SDK. Currently, the `to_json()` method only serializes a single level, and `json.dumps` fails. The solution involves either making the existing encoder work seamlessly with the standard Python `json` library or improving the `to_json()` method to handle nested objects correctly.
A set of tools, types and libraries for building and manipulating Grafana objects.
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The grafana-foundation-sdk provides a collection of tools, types, and libraries to simplify the creation and manipulation of Grafana objects. This solves the problem of developers needing to manually handle complex Grafana data structures, enabling more efficient and robust Grafana plugin and application development.
AI Summary: Implement a new command in the Pixi CLI (e.g., `pixi global list`) to display a list of packages installed within a specific globally-installed environment. This requires accessing and parsing the environment's package information, likely stored within the environment's directory structure, and then formatting this information for display in the CLI.
Package management made easy
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Pixi simplifies package management by providing an easy-to-use interface for installing, updating, and managing dependencies. It streamlines the process, saving developers time and effort in managing project requirements.
AI Summary: Implement a feature in the Mumble client to easily add the currently connected server to the server list or favorites. This could involve adding a button, menu option, or icon to streamline the process of adding temporary connections to the server list, avoiding manual entry of server details.
Mumble is an open-source, low-latency, high quality voice chat software.
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Mumble is an open-source voice chat application designed to provide low-latency, high-quality voice communication. It solves the problem of poor audio quality and lag often experienced in other voice chat programs by prioritizing efficient audio transmission and minimizing overhead.
AI Summary: The task is to debug a bug in the Ruff linter where the fix for rule PLC2801 (unnecessary dunder call) can introduce a syntax error in certain cases. This requires analyzing the provided code snippet, understanding the rule's logic, and identifying the conditions under which the syntax error occurs. A fix for this bug needs to be implemented and tested.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: Conduct end-to-end testing of the real-time voice conversation server. This involves checking for errors and then testing the conversation flow using the Expo SDK to identify areas for improvement. The testing should cover all aspects of the system, from audio processing and transcription to LLM interaction and text-to-speech.
real-time websocket based server for human like conversation with user and llm/bot
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Talkative is a real-time server using websockets that enables human-like conversations between users and large language models (LLMs) or bots. It solves the problem of creating interactive, dynamic conversational interfaces by providing a robust and efficient communication framework.
AI Summary: The task is to enhance the Terraform AWS provider to correctly handle and allow tagging of AWS Secrets Manager secrets with names containing the '!' character, which are created by certain AWS services. The current provider throws an error when encountering such a name during planning, even though the AWS CLI and AWS console can manage these secrets. The solution involves modifying the provider's validation logic for secret names to accommodate the '!' character.
The AWS Provider enables Terraform to manage AWS resources.
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The terraform-provider-aws project allows infrastructure management of AWS resources using HashiCorp's Terraform. It solves the problem of manually configuring and managing AWS infrastructure by providing a declarative approach, enabling automation and version control.
AI Summary: Fix an accessibility issue on the p5.js website where underline styling is incorrectly applied to a parent `<li>` element instead of the child `<a>` link element. This involves moving the underline style from the `<li>` to the `<a>` element to improve semantic clarity and accessibility.
New p5.js website!
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The p5.js-website project aims to create a new, improved website for the p5.js library, enhancing user experience and accessibility for learning and utilizing the creative coding library. Key features would include updated documentation, tutorials, and community resources.
AI Summary: The task is to debug a MyDumper issue where backups of a table with a large ID range but few rows are extremely slow. The problem seems to stem from MyDumper's inefficient handling of sparse IDs, causing it to process a far larger range than necessary. The solution likely involves improving MyDumper's query optimization for such scenarios, potentially by adding logic to better handle sparse ID distributions or allowing for more efficient range selection.
Official MyDumper Project
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Mydumper is a MySQL backup tool designed to efficiently and reliably create logical backups. It offers features like parallel processing for faster backups and supports various compression methods to reduce storage space.
AI Summary: Update the offline real-time captioning software, FL Caption, to use the updated Source Han Sans 2.0 font. This involves downloading the new font files from the provided link and integrating them into the Flutter application.
Offline real-time captioning software written in Flutter and Rust, powered by Whisper and LLM.
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fl_caption is offline, real-time captioning software leveraging Flutter and Rust for performance. It utilizes Whisper for speech-to-text and an LLM for improved accuracy, solving the need for reliable captioning without internet connectivity.
AI Summary: Update the SCToolBox application to use the latest version 2.0 of the Source Han Sans font. This involves downloading the new font files from the provided Adobe link and integrating them into the SCToolBox application's build process or resource management.
为 "StarCitizen" 的玩家设计,提供诸多便捷功能。 Designed for "StarCitizen" players, providing many convenient functions.
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The 'app' project is a utility application designed to enhance the Star Citizen player experience by providing numerous convenient features. It aims to solve common in-game inconveniences and streamline various aspects of gameplay.
AI Summary: Debug a bug in the DeepChat application where pasting an image causes a "illegal base64 data at input byte 4" error when using the Gemini 27b model. The task involves analyzing the provided error message and screenshot to identify the root cause of the image pasting failure within the DeepChat application's image handling and Gemini 27b model interaction.
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
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DeepChat is a smart assistant leveraging powerful AI to streamline personal tasks and information access. It aims to solve the problem of fragmented information and inefficient task management by providing a centralized, AI-powered interface.
AI Summary: Implement a feature in the DeepChat application to add API request rate limiting to prevent exceeding API provider limits and resulting errors. This involves adding a configurable setting to control the rate of requests and implementing logic to pause requests when the limit is reached.
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
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DeepChat is a smart assistant leveraging powerful AI to streamline personal tasks and information access. It aims to solve the problem of fragmented information and inefficient task management by providing a centralized, AI-powered interface.
AI Summary: Replace the existing Gnome Control Center logo with the Macaroni OS logo. This involves finding the appropriate image asset, modifying the Gnome Control Center configuration (likely requiring familiarity with Gnome's theming system), and testing the changes to ensure functionality and visual appeal.
Macaroni Automated Repositories Kit Issues
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mark-issues automates the process of managing issues in repositories, likely streamlining workflows and improving team collaboration. While specifics are unavailable due to undefined README, the name suggests a focus on marking or categorizing issues for efficient tracking and resolution.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: Configure VS Code to automatically lint Python code according to PEP8 style guidelines by creating and adding a `.vscode` configuration folder to the CarSnap-AI repository. This will improve code readability and maintainability.
AI models and experiments for the CarSnap App project
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CarSnap-AI develops AI models to enhance the CarSnap app, improving its functionality and user experience. Key features include AI-powered image analysis for vehicle identification and automated data extraction, streamlining the car appraisal process.
AI Summary: Debug and fix a UTF-8 handling issue in the `fold` utility of the uutils coreutils project. The current implementation fails to correctly process files containing non-UTF-8 encoded characters, resulting in an error message. The fix should ensure compatibility with various encodings, mirroring the behavior of the GNU coreutils `fold` command.
Cross-platform Rust rewrite of the GNU coreutils
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coreutils is a Rust rewrite of the GNU coreutils, aiming to provide a modern, cross-platform, and more maintainable alternative to the widely used GNU utilities. Key features include improved performance, enhanced security, and better cross-platform compatibility, addressing the limitations and potential vulnerabilities of the original C implementation.
AI Summary: Create a new mission in the gamified political platform that encourages user interaction with an AI chatbot on the 'idobata' policy website. The goal is to lower the barrier to entry for new users by focusing on simple interactions rather than immediate policy proposal submissions.
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
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Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: Complete a course design report for a Java-based chat application project that uses sockets for communication, incorporating features like private and group chat, and file transfer. The project utilizes JavaFX, JDBC, MySQL, and BCrypt. The report should document the project's design, implementation, and testing.
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Simple-Chat-Room is a basic chat application designed to facilitate real-time text-based communication between users. It provides a simple interface for sending and receiving messages, solving the need for a straightforward and easy-to-use chat platform.
AI Summary: Modify the muc-patternlab-vue library to expose the currently supported MDE version, either as a variable or as a complete URL for the assets, simplifying the process for downstream projects to import the correct CSS and reducing the risk of version mismatches.
Vue-Components based on patternlab.muenchen.space
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muc-patternlab-vue is a project that creates reusable Vue.js components based on the design system found at patternlab.muenchen.space. It solves the problem of inconsistent UI design by providing a library of pre-built, style-guide-driven components for faster and more consistent development.
AI Summary: Enhance the Super Productivity app's search functionality to include sub-tasks in search results when searching for parent tasks, and vice-versa. The search results should clearly indicate the parent-child relationship, ideally using a tree-like structure. The search should also support partial matches and prioritize unfinished tasks when multiple results exist.
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
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Super Productivity is a powerful todo list application designed to boost productivity by combining timeboxing and time tracking features. Its key strength lies in its integrations with popular project management tools like Jira, GitLab, GitHub, and Open Project, allowing for seamless task management across platforms.
AI Summary: The task is to investigate why Ruff's fix for the PLE0241 (duplicate base classes) rule removes comments in Python code. The solution might involve modifying the fix to preserve comments, marking the fix as unsafe, or preventing the fix from applying in cases with comments. Testing and verification are required to ensure the fix works correctly without unintended side effects.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: Debug and fix the Google authentication functionality on the StarkFinder application's login page. The current implementation redirects to the authentication page but fails to process Google logins correctly. The solution requires investigating the authentication flow, identifying the source of the error (likely within the authentication code or its integration with the Google OAuth API), and implementing the necessary corrections to enable successful Google logins.
Onchain AI agent on Starknet for all sorts of people in the ecosystem
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StarkFinder is an on-chain AI agent built on Starknet, designed to assist users within the Starknet ecosystem. It aims to simplify various tasks and provide helpful information to a broad range of users, regardless of their technical expertise.
AI Summary: Write a blog post detailing the Java-based Simple-Chat-Room project, covering its features (private/group chat, file transfer), technology stack (Java, MySQL, JavaFX, etc.), setup instructions, and troubleshooting tips.
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Simple-Chat-Room is a basic chat application designed to facilitate real-time text-based communication between users. It provides a simple interface for sending and receiving messages, solving the need for a straightforward and easy-to-use chat platform.
AI Summary: Debug and fix a layout issue in a Final Fantasy XIV strategy website (XivStrat) where content overflowing its container causes overlap with subsequent components after automatic line breaks. The issue appears to be related to specific component interactions (`<CastSection>`, `<CollapseSection>`, `<MechanicSection>`) and only occurs under certain conditions. The task involves investigating the root cause of the layout problem and implementing a solution to prevent content overlap.
从7.2开始的最终幻想14中文攻略站
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xivstrat is a Chinese Final Fantasy XIV strategy website, providing guides and resources for players since patch 7.2. It aims to solve the problem of accessing comprehensive, localized FFXIV strategy information in Chinese, offering a key feature of translated and curated guides.
AI Summary: Move the multi-provider functionality from the OpenFeature JavaScript SDK's contrib repository into the main SDK, deprecating the contrib version. Mark the new multi-provider as experimental.
JavaScript SDK for OpenFeature
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The js-sdk project provides a JavaScript Software Development Kit (SDK) for OpenFeature, a feature flag management system. It simplifies the integration of feature flags into JavaScript applications, enabling developers to easily manage and deploy feature flags without modifying their core application code.
AI Summary: Create mock implementations for the first three proposals related to dismissing active popovers by clicking the background, as described in Expensify App issue #59939. This involves simulating the behavior without implementing the actual feature.
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The project's purpose is not defined in the provided information. Therefore, no summary of its problem-solving capabilities or key features can be given.
AI Summary: Enhance the user interface of a Vue.js web application for managing Asset Administration Shells (AAS) by adding labels to boolean input variables. The labels should display the `idShort` or, if available, the display name of the input variable. This involves modifying the existing Vue.js components to incorporate this labeling functionality.
Web-based user interface for managing and interacting with Asset Administration Shells (AAS)
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basyx-aas-web-ui provides a web interface for managing Asset Administration Shells (AAS), simplifying the interaction with and administration of complex asset information. Key features include user-friendly browsing, editing, and management of AAS data, improving efficiency and accessibility for users.
AI Summary: The task is to debug a TiDB issue where setting the session-level `sql_require_primary_key` variable does not enforce the required privilege check, unlike the global-level setting. The solution involves investigating why the privilege check is missing for the session-level setting and implementing the necessary check to ensure consistency with the global-level behavior, aligning with MySQL's documented behavior.
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.
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TiDB is an open-source, distributed SQL database that solves the scalability and availability challenges of traditional relational databases. Its key features include horizontal scalability, high availability, and compatibility with MySQL, making it ideal for modern, cloud-native applications.
AI Summary: The task is to create and execute tests for issue #3 within the 'expensify-proposal-testing' project. The specific details of the tests are not provided in the given information, requiring further investigation of issue #3's description.
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The project's purpose is not defined in the provided information. Therefore, no summary of its problem-solving capabilities or key features can be given.
AI Summary: The task is to determine how the project extracts audio tokens from audio files, specifically focusing on the method used to create the "data/spks/luna.pt" file which contains audio features and tokens. The question is whether a specific audio tokenizer is used, or if the voice is trained directly into the model. The goal is to understand how to replicate this process for voice cloning.
Ming - facilitating advanced multimodal understanding and generation capabilities built upon the Ling LLM.
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Ming leverages the Ling LLM to enable advanced multimodal understanding and generation. It solves the problem of limited interaction between different modalities (like text and images) by facilitating seamless integration and processing. Key features include advanced multimodal capabilities built upon a strong foundational LLM.
AI Summary: Create a short animated GIF or Lottie animation for the Civix app's landing page. The animation should demonstrate the app's core functionality: reporting an issue, tracking its status, and showing its resolution. A static concept image is provided as a starting point.
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Due to the lack of provided project description or README, a concise summary of Civix cannot be generated. More information is needed to describe the problem it solves and its key features.
AI Summary: Implement the login functionality in the React frontend by using Axios to send a POST request to the `/auth/login` backend API endpoint. This involves handling user input, sending the request, and managing potential errors (e.g., incorrect credentials). The backend API is already set up, so the focus is on the frontend integration.
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Fix-Time is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Implement backend validation to prevent empty fields in user registration and login forms. This involves adding validation checks to the appropriate API routes and returning custom error messages to the frontend if empty fields are detected. This will improve the user experience by providing more informative error messages.
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Fix-Time is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Create an Internships.jsx component for a student portfolio website. The component should include a search bar and vertical filter options to allow users to search for internships based on keywords (e.g., "React Developer"). Results should link to relevant internship sites like Unstop and Internshala. The component should also include a brief explanation of the importance of internships.
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LinkUp.AI is a project whose description and functionality are currently undefined. Therefore, no problem it solves or key features can be summarized.
AI Summary: Implement redirects on the client-side React application to the home page if a user is already logged in and attempts to access the login or register pages. This involves checking the authentication status (likely via a JWT token stored in local storage or cookies) and conditionally redirecting using React Router.
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Fix-Time is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Implement the registration functionality in the React frontend by connecting the registration form to the backend API endpoint `/auth/register` using Axios to handle the POST request. This involves handling user input, sending data to the backend, and managing potential errors.
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Fix-Time is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Create three mock proposals for a new feature in the Expensify app that prevents deleted, unreported expenses from being added to reports in offline mode. This involves mocking the existing GitHub issue #63858 to test the functionality.
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The project's purpose is not defined in the provided information. Therefore, no summary of its problem-solving capabilities or key features can be given.
AI Summary: Remove the `ogp_image_url` column from the `missions` table in the database. This is a straightforward task involving a database schema change, likely requiring a migration file to be created and applied. The task is related to a previous issue (#534) where the column was deemed unnecessary.
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
More
Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: The task is to address the 'test' issue within the 'MySite' project, a blog powered by Gmeek. The issue description is minimal, requiring further clarification to understand the specific requirements.
MySite
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Monsieur-Q.github.io is a personal website (MySite) that serves as an online portfolio and potentially a blog or information hub for the user. It solves the problem of needing a centralized online presence to showcase work and connect with others.
AI Summary: Remove the welcome content and form from the homepage and replace it with a feed displaying tech news. This involves updating the homepage UI of the LinkUp.AI application to reflect the changes shown in the provided image.
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LinkUp.AI is a project whose description and functionality are currently undefined. Therefore, no problem it solves or key features can be summarized.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: The provided project and issue information is insufficient to determine the required task. The project description and README are missing, and the issue description ('pPQ9HmEx1Frp7gAQFDFMNjgSIWKaxXddB') is an unintelligible string. More context is needed to understand the task.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: The provided text gives a project description and a project README (both empty) and an issue with ID 1433716141 and a cryptic description 'ofPdWdWjOdmGkcPjaZVmn'. The task requires investigating issue 1433716141 and determining the necessary actions based on the provided (currently unhelpful) project information and the issue description. More context is needed to fully understand the required actions.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
More
The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: Fix the unresponsiveness of the back button in the settings views of the Trilium Notes Android app. The issue appears to be that the back button is obscured by the Android notification bar on some devices, such as the Pixel 7. The solution likely involves adjusting the layout or UI elements to ensure the back button is always accessible and visible, regardless of the notification bar's position.
Android client for Trilium Notes
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TriliumDroid is an Android application providing a mobile interface for Trilium Notes, a powerful, open-source note-taking application. It allows users to access and manage their Trilium notes, including hierarchical organization and powerful search capabilities, from their Android devices.
AI Summary: The provided project and issue information is insufficient to determine the required task. The project description and README are missing, and the issue description is an unintelligible string of characters ('D9nVOLmCUQsWUi1V6BXM3EifkY85ui6SLH8fE8yOH'). More context is needed to understand the task.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: Implement functionality to hide the URL box in Agregore browser when entering fullscreen mode and show it again when exiting fullscreen. This involves adding event listeners for fullscreen changes and toggling the display property of the URL box element in the UI.
A minimal browser for the distributed web (Desktop version)
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agregore-browser is a minimal desktop browser designed for the distributed web. It solves the problem of accessing decentralized applications and content by providing a streamlined interface focused on ease of use and compatibility with decentralized technologies.
AI Summary: Integrate live HTML generation into the existing MultiFlex platform, mimicking the real-time UI interaction demonstrated in the linked Google DeepMind Gemini example. This involves creating a WebSocket connection for user interaction, updating the UI based on model responses (using a potentially optimized memory mechanism), and integrating existing search tools into the LangGraph agent workflow. The goal is to create a dynamic, responsive UI that updates in real-time based on user input and model-generated HTML.
Multi-agentic platform that gathers and presents knowledge in creative UI generated on the fly
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Multiflex is a multi-agent platform designed to address the challenge of knowledge aggregation and presentation. It achieves this by dynamically generating creative user interfaces, offering a novel approach to information access and visualization.
AI Summary: Modify the carrier shipment page in the OMS company settings app to display only distinct ship methods, removing duplicate entries. Update the row icons to reflect delivery times: plane (<2 days), bus (<5 days), boat (>5 days), matching the fulfillment app's logic. This involves updating data fetching and UI elements.
App for managing company level settings in OMS
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The 'company' app streamlines management of company-wide settings within the OMS (Order Management System). It provides a centralized interface for configuring and updating various organizational parameters, improving efficiency and reducing administrative overhead.
AI Summary: Debug and fix a whitespace issue in a C logging library. The problem occurs when a custom log prefix feature is enabled but no prefix function is set; the timestamp and log level are printed without a space between them. The solution involves adding a space character to the output formatting in the library's code.
A lightweight, customizable logging library in C. Just two files. Compatible with C++, embedded projects, and most major compilers. Covered by unit tests.
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microlog is a tiny, easily integrated C logging library, ideal for embedded systems and resource-constrained environments. Its small size (two files), broad compiler compatibility, and unit test coverage ensure reliable and efficient logging.
AI Summary: Improve the accuracy of speech recognition in the AITuberKit project. This involves investigating improvements to microphone input quality, exploring noise cancellation, and benchmarking different speech recognition engines to identify the best performing option for smoother user experience.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Implement a user interface feature within the FerrisKey admin panel to allow assigning roles to users. This involves creating a UI component (dropdown or multi-select) to select roles from a list fetched via the existing API, sending a POST request to the existing API endpoint to assign the selected role(s), and updating the UI to reflect the changes with appropriate feedback (e.g., toast notifications).
FerrisKey is an open-source IAM solution designed for modern cloud-native environments. With its high-performance API written in Rust and its intuitive web interface developed in Typescript/React, FerrisKey offerrs a robust and flexible alternative to tradtional IAM solutions.
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FerrisKey is an open-source Identity and Access Management (IAM) solution built for cloud-native architectures. It addresses the limitations of traditional IAM systems by providing a high-performance Rust-based API and a user-friendly Typescript/React web interface for efficient and flexible access control.
AI Summary: The task involves completing exam work, as detailed in 'issue1'. The provided project information is insufficient to provide further context on the specific requirements of the exam work.
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The 'exam' project lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Enhance the Algorand AlgoKit Lora application to allow users to upload a custom JSON file mapping Algorand addresses to user-defined labels. This feature should prioritize custom labels over existing Non-Fungible Domain (NFD) labels and seamlessly integrate into all address display locations within the application, maintaining existing NFD functionality. The task involves creating a new settings UI element for file upload and management, updating address display logic to prioritize custom labels, and ensuring consistent display across all application components.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task involves modifying the backend of a project to improve the handling of chapter social links. This includes removing redundant fields, using hostnames for CSS styling, adding drag-and-drop reordering in the admin panel, and adding a new field for an organizing hub URL. The changes aim to simplify user input and improve the overall functionality and presentation of chapter links.
A prototype for a new backend for the strike
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The `strikecard-backend` project is a prototype backend for the Strike application. It aims to improve the existing backend infrastructure, likely addressing performance, scalability, or feature limitations. Further details on specific features are unavailable without access to the project's code or documentation.
AI Summary: The task is to address the 'My2nd' issue ('test') within the 'MySite' project, which is a blog powered by Gmeek. The issue description is minimal, requiring further clarification to understand the specific requirements.
MySite
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Monsieur-Q.github.io is a personal website (MySite) that serves as an online portfolio and potentially a blog or information hub for the user. It solves the problem of needing a centralized online presence to showcase work and connect with others.
AI Summary: Design a new logo for the AutoEDA project. The logo should be modern, professional, and reflect the project's focus on automated data preprocessing. The design should be submitted as part of a pull request.
The Automated Data Preprocessing Toolkit streamlines the data preprocessing stage in machine learning by automating tasks like handling missing values, encoding categorical features, and normalizing data. With a user-friendly interface for easy dataset uploads, it enhances data quality and improves model performance efficiently.
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AutoEDA automates tedious data preprocessing tasks in machine learning, such as handling missing values and encoding categorical features. This toolkit improves data quality and model performance through a user-friendly interface that simplifies dataset uploads and processing.
AI Summary: The task involves setting up the MicroUnit PHP testing framework, intentionally causing errors during setup and usage, and documenting these errors and their solutions in the project's `troubleshooting.md` file. This requires familiarity with PHP, unit testing concepts, and potentially debugging skills.
A modern, lightweight and fast yet feature rich PHP unit testing framework build for PHP8+ from the ground up
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MicroUnit is a modern PHP unit testing framework designed for PHP 8+ that addresses the need for a lightweight, fast, and feature-rich testing solution. It offers a streamlined approach to writing and running tests, improving developer productivity and code quality.
AI Summary: Create a UI layout for a bio-generator feature. This involves a page with a text input area where users can manually write their bio or use an AI-powered generation tool. The layout should include two buttons: one for manual input and one to trigger AI-based bio generation. This is a front-end task focusing on the user interface and user experience.
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LinkUp.AI is a project whose description and functionality are currently undefined. Therefore, no problem it solves or key features can be summarized.
AI Summary: The task is to create a test entry ('My1st') within the existing website 'MySite' (QsBlog), which is powered by Gmeek. The test entry's description is simply 'test'.
MySite
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Monsieur-Q.github.io is a personal website (MySite) that serves as an online portfolio and potentially a blog or information hub for the user. It solves the problem of needing a centralized online presence to showcase work and connect with others.
AI Summary: Research and determine the meaning and transliteration of the Burmese abbreviation marker (U+104C), clarifying its function and relationship to other diacritics like the virāma. This information is needed to update the DHARMA project's transliteration guidelines.
DHARMA Project Documentation
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The project-documentation project aims to provide comprehensive documentation for the DHARMA project. It addresses the need for clear and accessible information about the project's components, functionality, and usage. Key features will include detailed explanations, tutorials, and examples.
AI Summary: Debug and fix a bug in the Expensify app where deleting an expense causes a 'User owes $0.00' entry to appear in search results, leading to a 'not here' page. The bug is reproducible across multiple platforms (Android, iOS, web, macOS). The fix requires understanding the app's architecture (Onyx, Actions, UI), debugging skills, and familiarity with React Native and potentially native code if the issue spans beyond the JavaScript layer.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Remove an annoying slider from the bottom of the Keyshade application's user interface. This likely involves modifying the application's front-end code to remove the slider element and potentially adjust the layout to compensate for its removal.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: Create a new `LogTestWriter` for the MicroUnit testing framework. This writer should output test results to a log file using a structured format, allowing users to configure the log file path and various aspects of the log's structure. The solution must include robust default settings and be thoroughly tested.
A modern, lightweight and fast yet feature rich PHP unit testing framework build for PHP8+ from the ground up
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MicroUnit is a modern PHP unit testing framework designed for PHP 8+ that addresses the need for a lightweight, fast, and feature-rich testing solution. It offers a streamlined approach to writing and running tests, improving developer productivity and code quality.
AI Summary: Create an Entity-Relationship Diagram (ERD) using ERD Cloud based on the provided functional specifications. This involves identifying necessary data from the specifications and then designing the ERD.
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Due to the lack of provided project description or README, a concise summary of the project 'loopin' cannot be generated. More information is needed to describe the problem it solves and its key features.
AI Summary: Create a new test writer for MicroUnit, called `ColoredConsoleTestWriter`, that outputs colored console text mirroring the functionality of `MinimalStringTestWriter` without duplicating code. This involves implementing the `ITestWriter` interface, leveraging existing formatting logic, and ensuring compatibility with MicroUnit's configuration and execution.
A modern, lightweight and fast yet feature rich PHP unit testing framework build for PHP8+ from the ground up
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MicroUnit is a modern PHP unit testing framework designed for PHP 8+ that addresses the need for a lightweight, fast, and feature-rich testing solution. It offers a streamlined approach to writing and running tests, improving developer productivity and code quality.
AI Summary: Investigate removing the Python 'six' module from the Fedora ELN project and its dependent packages, coordinating with the Python SIG to address compatibility issues arising from the removal of support for Python 2.
Main repository and issue tracker
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The `eln` project serves as the central repository and issue tracker for an unspecified project. Its primary function is to manage and track development tasks and bugs, facilitating collaboration and progress monitoring.
AI Summary: Determine the data handling strategy for user-uploaded photos and other data upon account deletion. Options include complete deletion or encryption and retention. This requires consideration of data privacy regulations and user preferences.
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Trackery-BackAPIServer is a project whose purpose is not defined in the provided context. Without further information, its problem-solving capabilities and key features remain unknown.
AI Summary: Upgrade the commons-configuration dependency in WSO2 Micro Integrator to address the CVE-2025-46392 vulnerability. This requires resolving API changes introduced in newer versions of the library to maintain compatibility.
The cloud-native configuration driven runtime that helps developers implement composite microservices.
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The `product-micro-integrator` project addresses the complexity of building composite microservices by providing a cloud-native, configuration-driven runtime. It simplifies the integration and orchestration of multiple microservices, enabling developers to create more robust and maintainable applications.
AI Summary: Add alternative names for new weapons (Sticker Stamper and new Wiper) to the `weapon-alt-names.ts` file. This allows users to search for these weapons using alternative names in the profile section of the Sendou.ink platform.
Competitive Splatoon Platform
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sendou.ink is a competitive platform for Splatoon, addressing the lack of centralized competitive resources. Key features likely include matchmaking, tournament organization, and player statistics tracking to enhance the competitive Splatoon experience.
AI Summary: Create an HTML test writer for the MicroUnit PHP testing framework. This involves creating a class that implements the `ITestWriter` interface, generating HTML output from test results, and integrating it into the framework's configuration. Testing will involve creating a `microunit.config.php` file, writing sample tests, and running the framework to verify the HTML output.
A modern, lightweight and fast yet feature rich PHP unit testing framework build for PHP8+ from the ground up
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MicroUnit is a modern PHP unit testing framework designed for PHP 8+ that addresses the need for a lightweight, fast, and feature-rich testing solution. It offers a streamlined approach to writing and running tests, improving developer productivity and code quality.
AI Summary: Write unit tests for an existing Python function called 'add' within a 'calculator.py' file. The tests should verify the function's ability to correctly add two numbers and should use a testing framework like unittest or pytest.
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The project 'testinghello' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Debug and fix an issue on the Android app where a workspace remains archived even after a user is re-invited. The issue is reproducible on both staging and production environments. The task involves investigating the workspace invitation and archiving logic within the Android app, identifying the root cause of the bug, and implementing a fix to ensure workspaces are correctly unarchived upon re-invitation.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: This task involves familiarizing oneself with Git by cloning a repository, creating a branch, editing a README file, committing changes, pushing to the remote repository, creating a pull request, and getting it reviewed and merged. The goal is to add one's traQ ID to the team member section of the README.
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Insufficient information is provided to summarize project h25s_03. The description and README are undefined, preventing a meaningful summary of its problem or features.
AI Summary: Implement support for non-local relational databases, such as PostgreSQL, in the Cyberdrop-DL bulk file downloader. This involves modifying the existing database interaction code to accommodate a different database system and potentially altering the configuration options to allow users to specify their database connection details.
Bulk Gallery Downloader for Cyberdrop.me and Other Sites
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CyberDropDownloader is a bulk image downloader designed to efficiently retrieve galleries from Cyberdrop.me and other similar websites. It solves the problem of manually downloading numerous images by automating the process, saving users significant time and effort.
AI Summary: The task is to investigate why the MLflow documentation page at https://mlflow.org/docs/latest/api_reference/models.html returns a 403 error. If the page is legitimately unavailable, the solution is to remove or correct all links to this page within the MLflow documentation. If the 403 error is a temporary issue, the solution is to report the problem to the MLflow team and update the documentation once the issue is resolved.
Open source platform for the machine learning lifecycle
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MLflow is an open-source platform designed to streamline the machine learning lifecycle, addressing challenges in experiment management, model deployment, and reproducibility. Its key features include experiment tracking, model packaging and deployment, a model registry, and automated evaluation tools, all accessible through a user-friendly interface.
AI Summary: The task is to modify the JeecgBoot 3.8.0 BasicTable component to hide the right-side icons during cell editing and enable automatic saving of cell content changes without requiring explicit confirmation.
🔥集成完善AIGC应用的低代码平台,旨在帮助企业快速实现低代码开发和构建、部署个性化的 AI 应用。 前后端分离 SpringBoot,SpringCloud,Ant Design&Vue3,Mybatis,Shiro!强大的代码生成器让前后端代码一键生成,无需写任何代码! 成套AI大模型功能: AI模型管理、AI应用、知识库、AI流程编排、AI对话助手等;
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JeecgBoot is a low-code platform integrating AIGC applications, enabling rapid development and deployment of customized AI applications. Key features include a powerful code generator for front-end and back-end code, and a suite of AI functionalities such as model management, AI application building, and AI conversational assistants.
A major patch for the original Splinter Cell, fixing bugs and adding gameplay improvements.
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EnhancedSC is a significant patch for the original Tom Clancy's Splinter Cell, addressing numerous bugs and enhancing gameplay. It improves the overall experience by incorporating quality-of-life fixes and features requested by the community, resulting in a more polished and enjoyable game.
AI Summary: Debug a Docker build failure for a Backstage application's frontend within a multi-platform (arm64) CI/CD pipeline. The build process uses `yarn install` and fails with exit code 1 on arm64 architectures, while succeeding on amd64. The goal is to identify and resolve the root cause of the `yarn install` failure on arm64, ensuring consistent builds across architectures.
Deploy Backstage with Score via score-compose and score-k8s
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This project simplifies deploying Backstage, a developer portal, along with Score, a software composition analysis tool. It leverages score-compose and score-k8s for streamlined deployment to Kubernetes, solving the challenge of complex manual setup.
AI Summary: Develop a PyQt5 GUI for a Sudoku solver. The GUI should allow users to input Sudoku puzzles either manually or via image import (using OpenCV). It should then offer two solving modes: a step-by-step visualization and an instant solution. Optional future enhancements include adding a playable Sudoku mode.
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The py-sudoku-solver project is a Python-based Sudoku puzzle solver. It efficiently solves Sudoku puzzles using backtracking, offering a command-line interface for user input and solution display.
AI Summary: Set up a PostgreSQL database for the 'Finance' application, a personal expense tracking application.
O projeto Finance tem como objetivo ser uma aplicação para controle de suas Despesas !!
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The Finance project is a personal expense tracking application designed to help users manage their spending. It provides a simple and effective way to record and monitor expenses, offering insights into spending habits.
AI Summary: Investigate and resolve a failed package removal in the Homebrew Core formulae. The failure occurred during a GitHub Actions workflow run, requiring analysis of the logs and potentially code changes to address the root cause.
🍻 Default formulae for the missing package manager for macOS (or Linux)
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Homebrew-core provides a vast collection of formulae (recipes) for installing software packages on macOS and Linux, addressing the lack of a comprehensive package manager. It simplifies the installation and management of command-line tools and other software, offering a user-friendly and efficient solution.
AI Summary: Update the Kubernetes version used in Kind tests for the Knative Eventing NATSS project to resolve compatibility issues with the current version (1.31.4), requiring at least 1.32.0. This involves modifying the Kind configuration to use a newer Kubernetes version and potentially adjusting any related test code to accommodate the change.
NATS streaming integration with Knative Eventing.
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The eventing-natss project integrates NATS Streaming with Knative Eventing, enabling seamless event delivery and consumption. This solves the problem of connecting Knative-based applications to NATS Streaming, leveraging its high-performance and scalability for event-driven architectures.
AI Summary: Add a recommendation to use Gmail for email registration on the registration screen, and add a link to the FAQ once it's created. This is to address issues with email delivery to certain domains (e.g., mbn.or.jp).
政党の政治活動をゲーミフィケーション化するプラットフォーム。レベルアップ、ミッション、ラ ンキング機能でボランティア参加を促進
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Action-board is a gamified platform designed to boost political volunteer participation. It leverages game mechanics like leveling up, missions, and rankings to incentivize and engage volunteers in political activities.
AI Summary: Create a custom 404 page for a Next.js application using Tailwind CSS. The page should display a '404 - Page Not Found' message, a short description, and a button/link to redirect users to either the homepage (if unauthenticated) or their current room (if authenticated).
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The project `code-collab` aims to facilitate collaborative coding by providing a platform for developers to work together on projects. While specifics are unavailable due to missing description and README, it likely offers features such as shared code editing, version control, and communication tools.
AI Summary: The task involves setting up a smartwatch by downloading an app, enabling Bluetooth, pairing the watch with the smartphone, and configuring the date and time within the app. The app automatically updates the time once paired and configured.
Minha loja
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The Smartwatch project, from Minha loja, is a smartwatch application (details unspecified in provided context). It aims to solve the need for a convenient and feature-rich smartwatch experience, though the specific features are currently unknown.
AI Summary: The task is to fix a bug in the pgmpy library where models with commas in state names cannot be saved and loaded correctly. The solution involves improving the handling of commas in state names during file I/O, potentially by adding warnings or using a more robust delimiter.
Python Library for Causal and Probabilistic Modeling using Bayesian Networks
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pgmpy is a Python library that addresses the need for efficient causal and probabilistic modeling. It leverages Bayesian Networks to represent and reason with uncertainty, offering features for model creation, inference, and parameter learning.
AI Summary: Create a `Jobs.jsx` component for a student-focused job board. The component should include a search bar, a vertical filter panel for refining search results, and ideally, features like job bookmarking, application tracking, and personalized recommendations. The component should fetch and display job listings from external platforms like Unstop or Cutshort.
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LinkUp.AI is a project whose description and functionality are currently undefined. Therefore, no problem it solves or key features can be summarized.
AI Summary: The task is to correct a stale docstring in the `pymc_marketing` Python package. The docstring incorrectly refers to a variable named `likelihood` when it should refer to the variable `y` within the context of a Bayesian Marketing Mix Model (MMM). The correction involves updating the docstring in the specified source code file.
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
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pymc-marketing is a Python library leveraging PyMC for Bayesian modeling in marketing. It provides tools for analyzing marketing campaign effectiveness (Media Mix Modeling), predicting customer lifetime value (CLV), and building buy-till-you-die (BTYD) models, offering more robust and insightful results than traditional frequentist approaches.
AI Summary: Design and implement a landing page for a real-time collaborative coding platform. The page should include a hero section with a title and subtitle, sections detailing features and how the platform works, a call to action button, and a footer with links to the GitHub repository and other relevant resources. The design should be clean, responsive, and utilize Tailwind CSS and Shadcn UI components.
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The project `code-collab` aims to facilitate collaborative coding by providing a platform for developers to work together on projects. While specifics are unavailable due to missing description and README, it likely offers features such as shared code editing, version control, and communication tools.
AI Summary: Complete work item 3 within the project. The provided information only gives the title and a brief description in Japanese ("プロジェクト内の作業項目3"), so the specific requirements of this task are unknown without further details from the project README or issue details.
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Project test300 lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task requires modifying the LMCache vLLM v1 adapter to re-enable the `save_decode_cache` configuration variable, which currently doesn't affect the saving of decode KV cache. This involves updating the specified code section in `vllm_v1_adapter.py` to correctly utilize the configuration setting.
Redis for LLMs
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LMCache is a Redis-based caching solution designed to significantly speed up Large Language Model (LLM) applications. It addresses the performance bottleneck of repeatedly querying LLMs by caching responses, reducing latency and cost while maintaining data consistency.
AI Summary: The task is to debug and fix a bug in the Apache Dubbo Java samples. The callback example, which works correctly with the Dubbo protocol, fails when using the Triple protocol, throwing an `UnsupportedOperationException`. The solution likely involves configuring serialization or handling the `CallbackListener` interface differently for the Triple protocol within the Dubbo framework.
The java implementation of Apache Dubbo. An RPC and microservice framework.
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Apache Dubbo is a high-performance, Java-based RPC framework for building microservices. It solves the problem of inter-service communication by providing a robust and scalable solution for distributed applications, featuring service discovery, load balancing, and fault tolerance.
AI Summary: The task involves preserving the Vite v5 migration guide within the Chinese translation of the Vite documentation. This requires reviewing a pull request, potentially reverting to a previous commit, and saving a copy of the relevant Markdown file to maintain the v5 migration information.
Chinese translation of vite.dev
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The `docs-cn` project addresses the lack of Chinese documentation for Vite.dev by providing a complete translation of the official website's content. This allows Chinese-speaking developers to easily access and understand Vite's features and usage instructions.
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The project 'pulse' lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Integrate the Quicksilver (QS) proving system into the existing ZKP2P React Native SDK, offering users an alternative to the current Reclaim-based provers. This involves adding support for Primus and/or TLSNotary within the SDK, potentially requiring modifications to the SDK's architecture to handle multiple proving systems and potentially updating the native libraries (iOS and Android) to include QS support.
React Native Mobile SDK for ZKP2P
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The zkp2p-react-native-sdk is a mobile software development kit (SDK) that allows developers to easily integrate zero-knowledge proof (ZKP) based peer-to-peer (P2P) communication into their React Native applications. This enables secure and privacy-preserving communication between users without revealing sensitive data.
AI Summary: Fix a bug in Ant Design's DirectoryTree component where the drag-and-drop indicator overflows its container during drag operations. The issue stems from incorrect relative positioning due to a `position: static` style on a specific wrapper element. The solution involves adjusting the positioning of the indicator within the DirectoryTree component to ensure it remains within the visible area during dragging.
An enterprise-class UI design language and React UI library
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Ant Design is a comprehensive React UI library providing a consistent and customizable design system for building enterprise-level applications. It solves the problem of inconsistent UI design by offering pre-built, high-quality components and a well-defined design language, accelerating development and ensuring a unified user experience.
AI Summary: The task involves testing the 'ProposalPolice' feature within the 'expensify-proposal-testing' project, as outlined in issue #2. This likely requires writing and executing test cases to verify the functionality and stability of ProposalPolice.
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The project's purpose is not defined in the provided information. Therefore, no summary of its problem-solving capabilities or key features can be given.
VuesticUI development Repository
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This project is the development repository for VuesticUI, a Vue.js component library. It aims to solve the problem of needing readily available, high-quality UI components for Vue.js projects, offering a streamlined and efficient development experience.
VuesticUI development Repository
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This project is the development repository for VuesticUI, a Vue.js component library. It aims to solve the problem of needing readily available, high-quality UI components for Vue.js projects, offering a streamlined and efficient development experience.
AI Summary: Implement a feature in the Draw Steel FoundryVTT system that resets hero resources and temporary stamina to zero at the end of an encounter. This involves adding an option (either automatic or checkbox-controlled) to an existing end-of-encounter dialog.
The fan-made Draw Steel implementation for FoundryVTT
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draw-steel is a community-created module for Foundry Virtual Tabletop (FoundryVTT) that provides a digital implementation of the Draw Steel card game. It offers a streamlined interface for managing the game's mechanics, including card draws, combat, and character tracking, enhancing the digital play experience.
AI Summary: The task is to determine how to configure the `mooncake_master` to listen on a specific network interface and enable IPv6 communication. This involves modifying the configuration to select a particular IP address (IPv4 or IPv6) for the master server and ensuring client connections use the specified IPv6 address.
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
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Mooncake is a serving platform designed to efficiently deliver Kimi, Moonshot AI's leading large language model (LLM), to users. It addresses the challenge of providing reliable and scalable access to powerful LLM capabilities, ensuring smooth and consistent performance.
AI Summary: Fix a UI misalignment issue in a React frontend by ensuring consistent sizing and spacing of collaborator cards, and proper alignment of the 'Collaborators' title above them. The solution should be responsive across different screen sizes.
Stark Overflow is a decentralized Q&A platform inspired by Stack Overflow, built on the StarkNet blockchain. This project aims to provide a transparent, community-driven knowledge-sharing space with financial incentives for those who contribute quality answers.
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Stark Overflow is a decentralized Q&A platform leveraging StarkNet to create a transparent and incentivized knowledge-sharing environment. It addresses the lack of transparency and community ownership in traditional Q&A platforms by rewarding high-quality contributions with financial incentives.
AI Summary: Remove the 'Privileges' navigation item from the a12n-server-admin UI. This involves modifying the React component responsible for rendering the navigation menu to exclude the 'Privileges' item. The change should be tested to ensure the rest of the UI remains functional.
A user-friendly admin UI for a12n-server
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a12n-server-admin provides a user-friendly interface for managing the a12n-server, simplifying administration tasks. It streamlines the process of configuring and monitoring the server, improving overall usability and efficiency.
AI Summary: Update the README.md file for the VuesticUI project to include clear, step-by-step instructions for setting up the development environment (including Node.js and npm installation) and running the application locally. The instructions should also direct users to complete the JustAskDavidB orientation before proceeding.
VuesticUI development Repository
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This project is the development repository for VuesticUI, a Vue.js component library. It aims to solve the problem of needing readily available, high-quality UI components for Vue.js projects, offering a streamlined and efficient development experience.
AI Summary: The task involves assigning database query development and presentation responsibilities among six team members for a vehicle maintenance system project. Each member needs to be assigned a specific query to develop and present, requiring coordination and task distribution.
Projeto ABP Banco de dados
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abp-bd2 is a database project (likely related to the ABP framework). It aims to provide a robust and efficient database solution, though specifics regarding its features and problem it solves are unavailable without further information.
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
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Catalyst.jl is an open-source Julia package designed to efficiently simulate chemical reaction networks and systems biology models. It leverages high-performance computing techniques, including GPU parallelization and O(1) solvers, to address the computational challenges of large-scale simulations in scientific machine learning.
AI Summary: Improve the light theme's color palette in a React/Typescript frontend application to enhance visual harmony, accessibility, and readability, ensuring sufficient contrast and consistency across all pages while leaving the dark theme untouched. This involves updating Styled Components' theme configuration and thorough testing.
Stark Overflow is a decentralized Q&A platform inspired by Stack Overflow, built on the StarkNet blockchain. This project aims to provide a transparent, community-driven knowledge-sharing space with financial incentives for those who contribute quality answers.
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Stark Overflow is a decentralized Q&A platform leveraging StarkNet to create a transparent and incentivized knowledge-sharing environment. It addresses the lack of transparency and community ownership in traditional Q&A platforms by rewarding high-quality contributions with financial incentives.
AI Summary: The user is experiencing an issue with the Rime input method's '以词定字' (select character by word) extension. After installing the extension, pressing the designated keys (comma and period by default) to select the first or last character of a composed word results in the entire word and the key being displayed, instead of just the selected character. The task is to debug this issue, likely involving examination of the Rime configuration files (default.yaml and luna_pinyin.schema.yaml) and potentially the Lua script itself to identify why the keystrokes are not being properly interpreted and only the selected character is not being sent to the input field.
Rime / 以词定字
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rime-lua-select-character is a Rime Lua script that enhances character selection. It improves the user experience by providing a more intuitive and efficient way to choose characters, particularly useful for complex character sets. This is achieved through context-aware suggestions and streamlined input methods.
AI Summary: Make the Stark Overflow dApp fully responsive across all devices (mobile, tablet, desktop) by addressing layout inconsistencies and ensuring all pages (Home, Forum, AnswerPage, QuestionPage) adapt gracefully to different screen sizes. This involves using responsive design techniques like CSS media queries and flexible layouts (flexbox/grid) to avoid horizontal scrolling, maintain legible text, and prevent overlapping elements.
Stark Overflow is a decentralized Q&A platform inspired by Stack Overflow, built on the StarkNet blockchain. This project aims to provide a transparent, community-driven knowledge-sharing space with financial incentives for those who contribute quality answers.
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Stark Overflow is a decentralized Q&A platform leveraging StarkNet to create a transparent and incentivized knowledge-sharing environment. It addresses the lack of transparency and community ownership in traditional Q&A platforms by rewarding high-quality contributions with financial incentives.
AI Summary: Enhance the JeecgBoot platform's sorting functionality to allow multiple sorting fields with different sorting orders (ascending/descending) specified in a single request parameter. The task involves designing a suitable parameter format (e.g., comma-separated values with order indicators) and implementing the corresponding backend logic to handle and process these parameters correctly within the existing sorting mechanism.
🔥集成完善AIGC应用的低代码平台,旨在帮助企业快速实现低代码开发和构建、部署个性化的 AI 应用。 前后端分离 SpringBoot,SpringCloud,Ant Design&Vue3,Mybatis,Shiro!强大的代码生成器让前后端代码一键生成,无需写任何代码! 成套AI大模型功能: AI模型管理、AI应用、知识库、AI流程编排、AI对话助手等;
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JeecgBoot is a low-code platform integrating AIGC applications, enabling rapid development and deployment of customized AI applications. Key features include a powerful code generator for front-end and back-end code, and a suite of AI functionalities such as model management, AI application building, and AI conversational assistants.
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The project 'mealstrom' lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task involves modifying a release script to build and push a Docker image to the GitHub Container Registry. This requires familiarity with Docker, shell scripting, and the GitHub Container Registry. The script should be updated to include the necessary Docker build and push commands, ensuring proper authentication and tagging.
GitHub Action to labels incoming issues
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The `action-genai-issue-labeller` GitHub Action automates issue labeling, saving developers time and improving issue management. It leverages AI to intelligently assign labels based on issue content, ensuring issues are categorized efficiently and accurately.
AI Summary: Analyze a GitHub repository containing a personal development kit and its introductory issue to understand its purpose, features, and contribution guidelines. The task involves summarizing the kit's functionality and assessing its complexity and potential enjoyment for developers.
🧰 "Automatiza y personaliza tu entorno dev con este kit modular listo para la acción"
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The personal-dev-kit automates and personalizes developer environments using a modular, ready-to-use system. It solves the problem of inconsistent and time-consuming setup across different projects and machines by providing a customizable and efficient solution.
AI Summary: The task involves fixing a bug in the Wikimedia Commons Android app's login screen. The email verification input field unexpectedly expands vertically when the 'Enter' key is pressed on the keyboard. The solution requires modifying the input field's properties to prevent multiline input and setting the appropriate IME action (Done or Go).
The Wikimedia Commons Android app allows users to upload pictures from their Android phone/tablet to Wikimedia Commons
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The apps-android-commons project is an Android application enabling users to directly upload images from their mobile devices to Wikimedia Commons. This solves the problem of inconveniently uploading photos to the Wikimedia Commons repository, offering a streamlined and user-friendly mobile experience.
AI Summary: Debug a StencilJS v4.35.1 unit test failure. The issue is that a single component spec test (`stencil test --spec ...`) fails to run, producing an error message indicating that testing flags are missing despite them being present in the command. The task involves investigating why the `--spec` flag is not being correctly interpreted by the Stencil test runner, potentially examining the project setup, test configuration, or underlying StencilJS behavior.
A toolchain for building scalable, enterprise-ready component systems on top of TypeScript and Web Component standards. Stencil components can be distributed natively to React, Angular, Vue, and traditional web developers from a single, framework-agnostic codebase.
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Core is a toolchain simplifying the creation and distribution of scalable, enterprise-grade component systems. It leverages TypeScript and Web Components, enabling developers to build once and deploy to React, Angular, Vue, and other frameworks from a single, framework-agnostic codebase.
AI Summary: The user needs help troubleshooting email deliverability issues with BillionMail. Their DNS records for mail.domainname.com aren't propagating correctly, causing emails to land in spam. The task involves diagnosing the DNS propagation problem, investigating why emails are marked as spam (low spam score), and providing solutions to improve email deliverability.
BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord: https://discord.gg/asfXzBUhZr
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BillionMail is a self-hosted, open-source solution for email servers, newsletters, and email marketing, eliminating the need for monthly subscription fees. It's designed to be developer-friendly and offers a complete, free alternative to commercial email services.
AI Summary: The task involves investigating and resolving two issues within the Dify workflow system. The first issue is that hiding parameters in the workflow doesn't work as expected. The second issue is the request to add the ability to fetch workflow parameters from a URL, similar to the existing ChatFlow functionality. This requires debugging the parameter hiding mechanism and potentially adding new functionality for URL parameter fetching.
Production-ready platform for agentic workflow development.
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dify is a production-ready platform designed to streamline the development of agentic workflows. It solves the challenge of building and managing complex, autonomous processes by providing a robust and efficient environment for their creation and deployment.
AI Summary: The task is to modify the Hot Updater CLI tool to expose the `minBundleId` at build time for native releases, enabling correct source map association with bugsnag for initial releases. This requires investigating how `minBundleId` is currently calculated at runtime and adapting the build process to pre-compute and expose this value, potentially through a new build artifact or environment variable.
A self-hostable OTA update solution for React Native (Alternative to CodePush)
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hot-updater is a self-hostable over-the-air (OTA) update solution for React Native, offering a cost-effective alternative to CodePush. It allows developers to easily deploy updates to their React Native applications without requiring users to reinstall the app, improving user experience and reducing maintenance costs.
AI Summary: The task involves deciding where to store verification codes (for password/ID retrieval) in a Java-based e-commerce inventory management system. Options include in-memory storage, a local database, or files. The decision needs to consider factors like persistence, speed, and ease of implementation. The team needs to discuss and agree on the best approach.
신세계 백엔드 8차수 5조 작업공간
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KDT_TeamProject is a workspace for the 5th team of the 8th cohort of Shinsegae's backend development program. It likely facilitates collaborative development and project management for their assigned tasks.
AI Summary: Upgrade the Yocto meta-layer for Swift to support Swift 6.x versions. This involves updating the layer to work with Swift 6.1 and potentially multiple Swift 6.x versions, ensuring compatibility with existing functionality, and enabling new standard library modules like `Synchronization`, `CxxInterop`, and `Observation`.
Yocto meta-layer for building swift applications
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meta-swift is a Yocto meta-layer that simplifies the process of building Swift applications within embedded Linux systems. It addresses the challenge of integrating Swift into Yocto-based projects by providing pre-built components and recipes, streamlining the development workflow.
AI Summary: Debug an inconsistency between alarm data and hit data in Apache HertzBeat (version 1.7.1). The issue involves mismatched metrics data returned by the system compared to the data shown in the Prometheus UI. The task requires analyzing the provided Prometheus query results, HertzBeat alarm configuration, notification settings, and debug logs to identify the root cause of the discrepancy and propose a solution.
Apache HertzBeat(incubating) is a real-time monitoring system with agentless, performance cluster, prometheus-compatible, custom monitoring and status page building capabilities.
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Apache HertzBeat is a real-time monitoring system that eliminates the need for agents, offering performance cluster monitoring, Prometheus compatibility, and customizable monitoring and status page creation. It solves the problem of complex and resource-intensive monitoring by providing a lightweight, flexible, and powerful solution.
AI Summary: The task involves debugging a Pipedream action for creating Square orders. The issue is a schema mismatch, likely due to an incorrect data type definition ('object' instead of 'string') in the action's code. The solution requires modifying the `Square create-order .mjs` file to correct the data type and resolve the schema mismatch when calling the Square create order endpoint.
Connect APIs, remarkably fast. Free for developers.
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Pipedream is a fast and free platform for connecting APIs, enabling developers to quickly integrate various services and automate workflows. Its key features include ease of use and rapid development, eliminating the complexities of traditional API integration.
AI Summary: The task involves extending a Yocto meta-layer for building Swift applications to include support for several missing Swift modules (Differentiation, Distributed, RegexParser, RegexBuilder, StringProcessing) in the standard library. This requires modifying the meta-layer's configuration to enable these modules during the Swift compilation process, potentially involving adjustments to build scripts and dependency management.
Yocto meta-layer for building swift applications
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meta-swift is a Yocto meta-layer that simplifies the process of building Swift applications within embedded Linux systems. It addresses the challenge of integrating Swift into Yocto-based projects by providing pre-built components and recipes, streamlining the development workflow.
AI Summary: Create a new Pipedream action that triggers when a lead is updated in Pipedrive. This requires using the Pipedrive API v1 to detect lead updates and integrating that functionality into a Pipedream action component. The action should be well-documented and follow Pipedream's contribution guidelines.
Connect APIs, remarkably fast. Free for developers.
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Pipedream is a fast and free platform for connecting APIs, enabling developers to quickly integrate various services and automate workflows. Its key features include ease of use and rapid development, eliminating the complexities of traditional API integration.
AI Summary: The task is to fix a documentation issue in the BootstrapVueNext project. The documentation for the BTable component incorrectly states that the `show-empty` prop is only required when using custom slots for empty table rendering, while it's actually required for both slots and the `empty-text` prop. The fix involves updating the documentation to accurately reflect this requirement.
Early (but lovely) implementation of Vue 3, Bootstrap 5 and Typescript
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bootstrap-vue-next is an early implementation of a Vue 3 component library built with Bootstrap 5 and TypeScript. It aims to provide a streamlined and type-safe way to build responsive and visually appealing user interfaces using the popular Bootstrap framework and the power of Vue 3.
AI Summary: Implement animations throughout the Livestock Manager PWA to enhance the user interface. This involves adding animations to existing elements and potentially integrating an animation library.
This will be a PWA
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ConteoGanadero is a Progressive Web App (PWA) designed to streamline livestock counting. It offers a user-friendly interface and offline capabilities, solving the problem of inefficient and inaccurate manual livestock headcounts.
AI Summary: Refactor the address panel UI to improve its information hierarchy. The current layout is disorganized and needs restructuring for better readability and maintainability. This likely involves creating a more abstract and manageable component structure.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Fix a bug in a Razor Pages application that causes a 500 Internal Server Error when accessing a non-existent GitHub user profile. The solution involves handling the 404 Not Found response from the GitHub API gracefully, displaying user-friendly error messages in both English and Japanese, and preventing application crashes. This includes modifying the `GithubClient` to check for a 404 response and return null, updating the `GithubProfileModel` to handle the null response and display appropriate error messages using resource files, and adding the necessary resource files for localization.
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The `dotnet-test-demo` project is a demonstration project (lacking further description). Its purpose and key features are undefined due to missing information in the provided context.
AI Summary: Extend the existing Yocto meta-layer for Swift to support multiple Yocto distributions and target architectures (qemu-arm, qemu-arm64, meta-imx, meta-raspberrypi). This involves testing the layer's compatibility and resolving any arising issues to ensure successful Swift application builds and execution across different platforms.
Yocto meta-layer for building swift applications
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meta-swift is a Yocto meta-layer that simplifies the process of building Swift applications within embedded Linux systems. It addresses the challenge of integrating Swift into Yocto-based projects by providing pre-built components and recipes, streamlining the development workflow.
AI Summary: The task is to modify the Bazel Python Rules project's stage1 bootstrap script to remove bashisms and non-POSIX constructs, making it compatible with shells other than bash, such as dash. This involves replacing bash-specific array handling and other features with POSIX-compliant alternatives.
Bazel Python Rules
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The `rules_python` project provides Bazel rules for building and testing Python code. It solves the problem of efficiently building and managing Python projects within a Bazel build system, offering features like dependency management and hermetic builds.
AI Summary: Investigate and resolve an error encountered by a user attempting to join a group via a unique link provided in a contact form submission. The error message is "Error: INTERNAL". The user has already attempted to contact support via email, but the email bounced. The task involves debugging the group joining process and potentially contacting the appropriate technical team to resolve the issue.
A free collection of curated, high-quality resources to take you from Bronze to Platinum and beyond.
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The usaco-guide project provides a free, curated collection of high-quality resources to help aspiring competitive programmers improve their skills in the USA Computing Olympiad (USACO). It aims to bridge the skill gap from Bronze to Platinum levels and beyond, offering a structured path to success.
AI Summary: Enhance the existing Android SMS forwarding app, SmsForwarder, to support sending multimedia messages (MMS) containing images and videos. This involves adding functionality to handle MMS creation, encoding, and transmission to various supported platforms (DingTalk, WeChat, etc.).
短信转发器——监控Android手机短信、来电、APP通知,并根据指定规则转发到其他手机:钉钉群自定义机器人、钉钉企业内机器人、企业微信群机器人、飞书机器人、企业微信应用消息、邮箱、bark、webhook、Telegram机器人、Server酱、PushPlus、手机短信等。包括主动控制服务端与客户端,让你轻松远程发短信、查短信、查通话、查话簿、查电量等。(V3.0 新增)PS.这个APK主要是学习与自用,如有BUG请提ISSUE,同时欢迎大家提PR指正
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SmsForwarder is an Android app that monitors SMS messages, calls, and app notifications, forwarding them to various platforms (DingTalk, WeChat, Feishu, email, etc.). It also offers remote control features for sending messages, checking call logs, contacts, and battery levels.
AI Summary: The task involves creating a simple calculator web application (HTML, CSS, JavaScript) and then zipping the project directory using Python's `shutil` library. The provided code snippet shows the Python script for zipping, but the calculator's functionality is not fully implemented in the given HTML and requires JavaScript code to be written.
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This project, ethereum_wallet_view_safe_app, lacks a description and README, making its purpose unclear. Without further information, it's impossible to determine the problem it solves or its key features.
AI Summary: Modify the OpenRocket software to prevent users from disabling all rocket stages simultaneously. This involves adding validation to the stage disabling functionality to ensure at least one stage remains enabled.
Model-rocketry aerodynamics and trajectory simulation software
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OpenRocket is a free, open-source software application that simulates the flight of model rockets. It solves the problem of predicting rocket trajectories and performance characteristics, allowing users to design and optimize their rockets before launch. Key features include detailed aerodynamic modeling, motor selection, and trajectory visualization.
AI Summary: Add a "Report a Bug" button to the top-left of the header, to the left of the logo. The button should use the MDI icon library and the Iconify web component. Existing instances of "iconify-icon" in the codebase should be referenced as examples for implementation.
pencil it in is the first shared calendar built for friends, not meetings
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pencil-it-in-web solves the problem of scheduling social events with friends by providing a shared calendar specifically designed for casual get-togethers, not formal meetings. Key features include ease of use and a focus on intuitive friend-based scheduling.
AI Summary: The task is to address a user's confusion regarding joining a group after submitting a contact form on the USACO Guide website. The user received a message indicating they need a join link from a club officer or instructor, but their email to the provided address bounced back. The required action is to investigate the issue, potentially update the website's messaging for clarity, and/or provide the user with the correct procedure for joining.
A free collection of curated, high-quality resources to take you from Bronze to Platinum and beyond.
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The usaco-guide project provides a free, curated collection of high-quality resources to help aspiring competitive programmers improve their skills in the USA Computing Olympiad (USACO). It aims to bridge the skill gap from Bronze to Platinum levels and beyond, offering a structured path to success.
AI Summary: The task involves fixing JavaScript linting errors reported in the stdlib project. This requires identifying the specific errors listed in the issue description, locating the corresponding code files within the project's vast codebase, and correcting the code to meet linting standards. The corrected code must then be committed and submitted as a pull request.
✨ Standard library for JavaScript and Node.js. ✨
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stdlib is a comprehensive standard library for JavaScript and Node.js, addressing the lack of consistent, high-quality utility functions across different JavaScript environments. It provides a wide range of tools for mathematics, statistics, data manipulation, and more, improving developer productivity and code consistency.
AI Summary: Translate the Java-based Icons application, which converts ICO and ICNS image files, using either the provided Excel spreadsheet or a new translation. The translation should be compatible with the application's build process, potentially requiring attention to UTF-8 encoding in the IDE.
Convert ICO and ICNS disk images
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iconStuff is a command-line utility designed to convert ICO (Windows icon) and ICNS (macOS icon) image files. It simplifies the process of converting between these two common icon formats, eliminating the need for manual conversion or reliance on multiple tools.
AI Summary: Address a single commit comment in a JavaScript project's benchmark file by changing a string literal from `pkg+':native'` to `pkg+'::native'`. This involves reviewing the code, making the correction, committing the change, and creating a pull request.
✨ Standard library for JavaScript and Node.js. ✨
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stdlib is a comprehensive standard library for JavaScript and Node.js, addressing the lack of consistent, high-quality utility functions across different JavaScript environments. It provides a wide range of tools for mathematics, statistics, data manipulation, and more, improving developer productivity and code consistency.
AI Summary: Address a single comment on a commit concerning an incorrectly rounded value in the documentation and example code for a chi-squared probability distribution's probability density function. This involves reviewing the comment, correcting the value, and creating a pull request.
✨ Standard library for JavaScript and Node.js. ✨
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stdlib is a comprehensive standard library for JavaScript and Node.js, addressing the lack of consistent, high-quality utility functions across different JavaScript environments. It provides a wide range of tools for mathematics, statistics, data manipulation, and more, improving developer productivity and code consistency.
AI Summary: Organize and document the existing C. sorokiniana work, including bioconda setup instructions (blast, gemoma, orthofinder, algaeortho), WSL configuration, and relevant scripts and commands, for future reference within the iGEM 2025 McMasterU project.
iGEM 2025. McMasterU. This file includes our modeling-related work including flux-balance and variability analysis, scripts for metabolic network model refinement and validation using NumPy and COBRApy. Kiinetics and other models are to be included later in the cycle.
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This project uses computational modeling, specifically flux-balance and variability analysis with NumPy and COBRApy, to refine and validate metabolic network models for the McMaster University iGEM 2025 team. The goal is to improve understanding and design of biological systems, with future plans to incorporate kinetic and other modeling approaches.
AI Summary: The task involves fixing indentation errors in the `config.json` file within the `@stdlib/_tools/pkgs/repl-help` package. The errors are related to incorrect indentation using tabs instead of spaces, as detected by an EditorConfig linter. The fix requires changing the tabs to spaces to conform to the project's coding style guidelines.
✨ Standard library for JavaScript and Node.js. ✨
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stdlib is a comprehensive standard library for JavaScript and Node.js, addressing the lack of consistent, high-quality utility functions across different JavaScript environments. It provides a wide range of tools for mathematics, statistics, data manipulation, and more, improving developer productivity and code consistency.
AI Summary: The task involves brainstorming and implementing new features for HARDN-XDR, a Debian-based security package aiming for STIG compliance. This includes gathering community suggestions for additional tools and functionalities to enhance its capabilities as a comprehensive security solution, potentially involving CLI, GUI, monitoring, and endpoint management improvements.
A single STIG Compliant - Debian Package, to fully secure the OS using automation, encryption, monitoring, heuristics and availability.
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HARDN-XDR is a Debian package automating the secure configuration of Debian systems. It achieves this through STIG compliance, incorporating encryption, monitoring, heuristic analysis, and high availability features to mitigate security risks and improve system resilience.
AI Summary: The task involves proving the non-polynomial time complexity of a novel "NP-Computer" implemented using graph 3-colorability. This requires designing a non-polynomial time function (likely utilizing the computer's 'FIND' operation) that determines graph 3-colorability and demonstrating that the computer's execution time exceeds the function's complexity, thus proving the computer's non-polynomial nature. The solution needs to leverage the provided project's architecture and functionalities (BREAK, FIND, etc.) and potentially extend it to handle n-colorability for n > 3.
This is a repo to show how the 3 coloring problem can be used as a computer. From here we can see that since computation isn't polynomial time the 3 coloring problem is not polynomial.
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The NP-computer project demonstrates the use of the 3-coloring problem as a computational model. By showing that computation using this model is not polynomial-time, it illustrates the non-polynomial nature of the 3-coloring problem itself.
AI Summary: The task is to determine whether adding a `requirements.txt` file to the OmegaEdit repository is necessary and beneficial. This involves considering the current Python package dependencies listed in the README (for building documentation and potentially other tasks), evaluating the advantages and disadvantages of specifying versions in `requirements.txt`, and deciding whether the added value outweighs the maintenance overhead.
Open source library for building editors that can handle massive files, and multiple viewports.
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Omega-edit is an open-source library designed to address the challenges of editing extremely large files. Its key features include support for massive file handling and the ability to create editors with multiple, independent viewports for enhanced user experience.
AI Summary: The task is to create a Home Assistant add-on for the existing Docker image that generates PNG screenshots of Lovelace views. This involves packaging the existing functionality into a format compatible with Home Assistant's add-on system, including configuration options, automatic updates, and integration with the Home Assistant supervisor.
This tool generates a png from a Home Assistant Lovelace view.
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hass-screenshot solves the problem of easily capturing images of Home Assistant Lovelace dashboards. Its key feature is generating PNG screenshots directly from specified Lovelace views, providing a simple way to document or share dashboard configurations.
AI Summary: Verify the functionality of the API key used to authenticate requests to the FastAPI endpoint that retrieves allottee details from a DynamoDB table. This involves testing the API endpoint with a valid and an invalid API key to confirm that only authorized requests are successful.
API
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FastAPI is a modern, high-performance web framework for building APIs with Python. It solves the problem of creating fast, robust, and easy-to-maintain APIs by leveraging features like automatic data validation, asynchronous programming, and intuitive syntax.
AI Summary: Debug and fix a bug in a Tauri desktop application where the weather location is sometimes incorrectly displayed. The bug's cause and reproduction steps are currently unknown, requiring investigation and testing.
A port of the SEQTA website and BetterSEQTA+ interface to native desktop
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DesQTA provides a native desktop application experience for SEQTA, replicating the functionality of the web interface and BetterSEQTA+. This solves the problems of slow web-based interfaces and unreliable internet connectivity, offering a faster and more reliable way to access school information.
AI Summary: Fix a bug in the Expensify app where deleted workspaces remain visible in the Left Hand Navigation (LHN) after deletion. The bug is reproducible on Android app, Android mWeb Chrome, MacOS Chrome/Safari. The fix requires understanding the Expensify app's architecture, specifically the data flow between Onyx, actions, and the UI, and how workspaces are managed and displayed in the LHN. The solution should prevent deleted workspaces from appearing in the LHN.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task is to enhance the Envoy Gateway operator to implicitly handle preflight OPTIONS requests for CORS. Currently, users must explicitly define OPTIONS routes alongside other HTTP methods when using a CORS filter. The improvement involves automatically generating the necessary Envoy configuration (xDS routes) to match OPTIONS requests based on the presence of a CORS filter and relevant headers (origin, Access-Control-Request-Method), eliminating the need for manual OPTIONS route definitions.
Manages Envoy Proxy as a Standalone or Kubernetes-based Application Gateway
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The 'gateway' project simplifies the management of Envoy Proxy, functioning as a standalone or Kubernetes-based application gateway. It addresses the complexities of configuring and deploying Envoy, offering streamlined control and improved operational efficiency for managing application traffic.
AI Summary: Update the documentation for the `enable_teamcity_alb_deletion_protection` variable in the TeamCity Terraform module to accurately reflect its default value of `false`, correcting the current documentation which incorrectly states it defaults to `true`.
A collection of infrastructure as code templates and configurations for deploying game development infrastructure on AWS
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The cloud-game-development-toolkit streamlines game development infrastructure deployment on AWS by providing pre-built IaC templates and configurations. This solves the complexities of manually setting up cloud resources, allowing developers to focus on game creation rather than infrastructure management.
新版vTaiwan網站,以Vue開發中
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vue.vTaiwan-neo is a new website for vTaiwan, built using Vue.js. It aims to improve the user experience and functionality of the existing vTaiwan platform, offering a modern and efficient interface.
新版vTaiwan網站,以Vue開發中
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vue.vTaiwan-neo is a new website for vTaiwan, built using Vue.js. It aims to improve the user experience and functionality of the existing vTaiwan platform, offering a modern and efficient interface.
新版vTaiwan網站,以Vue開發中
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vue.vTaiwan-neo is a new website for vTaiwan, built using Vue.js. It aims to improve the user experience and functionality of the existing vTaiwan platform, offering a modern and efficient interface.
AI Summary: Investigate and resolve a bug reported in the project. This requires analyzing the provided bug report, reproducing the issue using the provided steps, identifying the root cause, and implementing a fix. The project README and project description may provide additional context.
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Insufficient information provided to summarize the project. The description and README are missing, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: The task involves retrieving and displaying the symbol of a cryptocurrency token ('Black Widow') from a smart contract using a Web3 JavaScript library. The provided code needs to be corrected to fetch the symbol correctly and display it along with a given price per ETH. The current code has a typo and doesn't correctly call the symbol method.
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Insufficient information provided to summarize the project. The description and README are missing, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: The task involves retrieving the symbol of the MATIC token (currently hardcoded as "MATIC") from its contract on the Ethereum mainnet using a Web3.js library and then printing a formatted string including this symbol and a hardcoded price. The provided code has an error in the ABI and needs correction to successfully fetch the symbol.
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Insufficient information provided to summarize the project. The description and README are missing, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: Add a 'Joule' result calculation to the lightbench project. This involves calculating energy consumption by multiplying the existing 'watt' and 'time' measurements. This requires modifying the existing code to include this calculation and potentially updating the output to display the Joule value.
lightbench: a lightweight tool for benchmarking LLMs 🛠️
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Lightbench is a lightweight tool designed to efficiently benchmark large language models (LLMs). It addresses the need for a simple, fast, and easily deployable benchmarking solution, offering key features for measuring performance across various metrics.
AI Summary: Implement a generic `EmbedText` function in Rust for the CocoIndex data transformation framework. This function should support various embedding model providers (OpenAI, Voyage, Mistral, Gemini) and allow users to configure parameters like API type, model name, address, output dimension, and task. The implementation requires handling different API specifications, managing optional parameters, and potentially maintaining a list of known models and their default dimensions.
Real-time data transformation framework for AI. Ultra performant, with incremental processing.
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cocoindex is a real-time data transformation framework designed for AI applications. It addresses the need for high-performance data processing by utilizing incremental processing techniques, ensuring efficient and timely data transformation for AI models.
AI Summary: Generate comprehensive Swagger (OpenAPI) specifications for the AdventureWorks e-commerce API, documenting all endpoints, request/response formats, authentication, and following OpenAPI best practices. The specifications should be added to the repository with instructions for updating them as the API evolves.
Outdoors! Adventure! Start the snow season with the latest and greatest in gear
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AdventureWorks is an e-commerce project focused on selling outdoor gear, solving the problem of providing a convenient online platform for customers to purchase high-quality adventure equipment. Key features would include product browsing, online ordering, and secure payment processing.
AI Summary: The task requires adding functionality to the cfu-buffer component to handle queries for the completion status of updates, specifically those using special offer codes 0xFF and 0xFE. This involves modifying the existing cfu-buffer code to recognize these codes and return the appropriate completion status information.
Common EC service framework and associated services
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The `embedded-services` project provides a common framework for embedding various EC (e-commerce?) services into applications. This simplifies integration and reduces redundancy by offering a standardized approach and pre-built services.
AI Summary: Implement a user interface in the `FiltersFragment.java` to allow users to filter tasks by tags and search for tasks using text. This involves adding input fields (EditText) and buttons/logic to connect to the existing `getByTag` and `search` methods in `TaskDao` to update the displayed task list.
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ProgMov is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Research and summarize effective video editing techniques based on the provided YouTube video and link to potentially improve the quality of studio videos. The goal is to document these techniques within the studio project for future reference.
A place to store all our studio related info/research and questions/answers!
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Studio is a central repository for storing and managing all studio-related information, research, questions, and answers. It solves the problem of scattered information by providing a single, easily accessible location for all relevant data, improving team collaboration and efficiency.
The OpenPoliceData (OPD) Python library is the most comprehensive centralized public access point for incident-level police data in the United States. OPD provides easy access to 550+ incident-level datasets from 236 police agencies and 11 entire states. Types of data include traffic stops, use of force, officer-involved shootings, and complaints.
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The openpolicedata Python library addresses the lack of centralized access to US police data by providing a comprehensive, easy-to-use interface to over 550 datasets from various agencies and states. It offers access to diverse incident-level data, including traffic stops, use of force, and shootings, facilitating research and transparency.
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This project, difussionInpaintingVectorFields, addresses the problem of inpainting vector fields by leveraging diffusion models. Key features likely include the use of diffusion processes to fill in missing or corrupted vector field data, resulting in a more complete and coherent representation.
AI Summary: The task is to debug a Ruff code formatter issue where the fix for performance rules PERF401 and PERF403 can duplicate comments when those comments are within an empty tuple inside an `if` statement's condition. The solution involves identifying the root cause of the comment duplication within Ruff's codebase and implementing a fix that prevents this behavior while correctly applying the intended list comprehension transformation.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
App to keep my songs in check
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The `lyrics_app` project addresses the problem of managing song lyrics by providing a centralized location to store and organize them. Key features are likely to include adding, editing, and searching for song lyrics, though specifics are undefined in the provided information.
App to keep my songs in check
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The `lyrics_app` project addresses the problem of managing song lyrics by providing a centralized location to store and organize them. Key features are likely to include adding, editing, and searching for song lyrics, though specifics are undefined in the provided information.
AI Summary: This task involves completing a GitHub Skills course on CodeQL, a tool for code security analysis. The course guides users through enabling CodeQL, identifying vulnerabilities (like SQL injection), resolving them, and understanding the associated workflow within GitHub. The provided issue likely represents a vulnerability discovered during the course.
GitHub Skills: Introduction to CodeQL
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This GitHub Skills project introduces users to CodeQL, a powerful code analysis engine. It provides a hands-on learning experience, enabling users to learn how to write CodeQL queries and analyze codebases for security vulnerabilities and bugs.
AI Summary: The task involves removing instances of `#[allow(clippy::arc_with_non_send_sync)]` from the Limbo project's codebase by refactoring the use of `Arc` to ensure that it's only used with types that implement both `Send` and `Sync`. This requires identifying the problematic `Arc` usages and modifying the code to resolve the underlying issues causing the clippy warnings.
Limbo is a project to build the next evolution of SQLite.
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Limbo aims to create a significantly improved version of SQLite, addressing limitations in performance, scalability, and features. It focuses on enhancing existing capabilities and introducing new functionalities to meet the demands of modern applications.
AI Summary: Refactor the Polar agent supervisor to use Ractor's `OutputPort` for pub/sub communication instead of polling for registration IDs from the Cassini client. This involves replacing the polling loop with a subscription to an event emitted by Cassini when an ID is assigned, ensuring clean handling of the registration process, and updating error handling and backoff strategies accordingly. Thorough testing is required to verify the absence of race conditions and proper handling of re-registration scenarios.
Polar is a secure and scalable knowledge graph framework, designed to address the challenges posed by building big data systems in highly regulated environments, and improve observability for DevSecOps Organizations.
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Polar is a secure and scalable knowledge graph framework designed for building big data systems in highly regulated environments. It solves the challenges of managing large datasets while maintaining security and improving observability for DevSecOps teams.
AI Summary: Improve the error handling in the `spinerEOS` function of the Singularity EOS project by explicitly checking for the existence of specified files and materials within those files before attempting to process them. This will result in clearer and more informative error messages for users.
Performance portable equations of state and mixed cell closures
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Singularity-EOS addresses the performance limitations of equations of state (EOS) and mixed cell closures in scientific simulations. It achieves this through performance portability, enabling efficient execution across diverse hardware architectures.
AI Summary: Implement a new method `insert_documents` on the Rig vector store interfaces to allow direct insertion of documents, improving user experience by eliminating the need for the `EmbeddingsBuilder`. This involves adding the method to each vector store implementation and ensuring proper error handling.
⚙️🦀 Build portable, modular & lightweight Fullstack Agents
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Rig builds portable, modular, and lightweight full-stack agents, solving the challenge of creating consistent and easily deployable applications across different environments. Its key features include portability and modularity, allowing developers to easily adapt and extend functionality.
AI Summary: Fix an incorrect amount format in French for amount violation messages within the Expensify Money Requests feature across all platforms (Android, iOS, web, desktop). This involves debugging the issue, identifying the root cause of the incorrect formatting, and implementing a fix to ensure the amount is displayed correctly in French. The fix should be tested thoroughly across all supported platforms and browsers.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Add a new filter to the Distributor WordPress plugin, `dt_update_post_args`, allowing modification of arguments passed to `wp_update_post` within the `SubscriptionsController`. This addresses an issue where post manipulations using `dt_pull_post_args` are overwritten when the original post is updated, ensuring consistent post modifications during both initial pull and subsequent sync operations.
Share content between your websites.
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The 'distributor' project facilitates seamless content sharing between multiple websites, eliminating the need for redundant content creation and ensuring consistency across platforms. Key features likely include streamlined content transfer and management tools for efficient distribution.
AI Summary: Improve the user interface (UI) of an interactive resume builder application to create a more modern, consistent, and user-friendly experience. This involves redesigning and implementing visual elements to enhance the overall look and feel of the application.
This is the Resume Builder made with Shepherd Library
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The Resume-Builder project simplifies the process of creating professional resumes using the Shepherd library. It streamlines the creation of visually appealing and well-structured resumes, solving the problem of time-consuming manual formatting and design.
AI Summary: The task involves removing a redundant upgrade modal that appears after clicking the "Upgrade to Control" button in the Expensify Subscription > Explore All Plans flow on MacOS web browsers. The modal duplicates information already presented, and the fix requires modifying the application's logic to directly upgrade the workspace instead of showing the extra modal.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Fix a bug in a price monitoring web application where price alerts are not triggering the expected purchase registration functionality. The application should correctly register purchases when the monitored price reaches the desired value, removing the alert afterward. The issue is that purchases are being registered without the proper price monitoring trigger.
A web-based price monitoring system with purchase history, alerts, and interactive dashboard, integrated with OdinLine.
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BruInLine is a web application that solves the problem of manual price tracking by providing automated price monitoring, purchase history, and customizable alerts for products. It integrates with OdinLine and features an interactive dashboard for easy overview and management of tracked items.
AI Summary: Develop an AI assistant function, `aidefinition`, for the Julia-based control-toolbox ecosystem. This function should take an optimal control problem definition (in code form) as input and use AI to correct or update the definition based on potential errors or user-specified prompts. The output should be the corrected code and optionally a log explaining the changes.
Fundamentals of the control-toolbox ecosystem
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CTBase.jl provides a foundational library for the control-toolbox ecosystem in Julia, addressing the need for a consistent and efficient set of core functionalities. It offers essential tools for linear algebra, numerical optimization, and system representation, streamlining the development of more advanced control algorithms.
AI Summary: Improve Movim's user experience by changing the terminology for leaving Multi-User Chats (MUCs) from "Disconnect" to "Leave", adding a "Permanently Leave" option to remove MUC bookmarks, renaming "Chats" to "Private Messages", and clarifying the file retention policy for uploaded posts.
Movim - Decentralized social platform
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Movim is a decentralized social platform that solves the problem of centralized control over user data and content. Key features include enhanced user privacy and control, resistance to censorship, and a focus on community ownership.
AI Summary: Create an OCI image for the Ion Fusion CLI that allows input/output and access to external module repositories, simplifying installation and use for customers. This involves containerizing the existing CLI application and configuring it to interact with external resources.
Ion Fusion is a customizable programming language for working with JSON and Amazon Ion data.
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fusion-java is a customizable programming language designed to simplify working with JSON and Amazon Ion data. It addresses the challenges of handling these data formats by providing a tailored language with features for efficient data manipulation and processing.
AI Summary: The task is to debug a bug in the daily.dev web application where the browser's back button doesn't function correctly after being redirected to the registration page from the 'Following' link in the main feed. The proposed solution involves adding an `after_auth` parameter to the redirect URL.
daily.dev is a professional network for developers to learn, collaborate, and grow together 👩🏽💻 👨💻
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daily.dev is a professional network designed to help developers learn, collaborate, and advance their careers. It addresses the need for a dedicated space for developers to connect, share knowledge, and find opportunities for professional growth.
AI Summary: Set up a build, publish, and release pipeline for the `beman-tidy` tool, including creating a Beman organization on PyPI, polishing the workflow file, updating the working directory, and adapting the pipeline to Beman standards.
Internal Beman Project infrastructure repo
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The 'infra' project provides the infrastructure for the internal Beman project. It addresses the need for a centralized repository managing project infrastructure components, streamlining setup and maintenance.
AI Summary: Create a GitHub Actions workflow that automatically tests the provided Dockerfile and docker-compose example within the `examples` directory. The workflow should build the Docker image, run the docker-compose setup, and potentially include tests to verify functionality after changes to either the Dockerfile or the examples directory.
Stateful load balancer custom-tailored for llama.cpp 🏓🦙
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Paddler is a stateful load balancer designed to optimize the performance of llama.cpp models. It addresses the challenges of efficiently managing multiple requests to a llama.cpp server by intelligently distributing the load and maintaining context across requests.
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The project's purpose and key features are undefined due to missing project description and README. Further information is needed to provide a concise summary.
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The project's purpose and key features are undefined due to missing project description and README. Further information is needed to provide a concise summary.
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The project's purpose and key features are undefined due to missing project description and README. Further information is needed to provide a concise summary.
AI Summary: Create a new error type in the Hemi Network's `tbc` (Tiny Bitcoin Daemon) Go code to handle instances where methods are called that are not allowed in external-header mode. This involves identifying the relevant code sections and adding the new error type to signal these disallowed operations.
The hemi network core daemons.
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Heminetwork's core daemons provide the foundational infrastructure for a distributed network, solving the problem of building robust and scalable decentralized applications. Key features are not specified in the provided context.
AI Summary: The task is to address the 'test' issue, which involves a short test described as 'a short tests'. More information is needed from the project README and project description to fully understand the context and requirements of the test.
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The provided project information is insufficient to generate a meaningful summary. There is no description or README to explain the project's purpose, functionality, or features. Therefore, a summary cannot be provided.
AI Summary: The user's Vivint Home Assistant integration is missing the climate entity after a reinstall. The task is to debug why the climate entity from the Nest thermostat is not appearing in Home Assistant after reinstalling the Vivint integration. This likely involves checking Home Assistant logs for errors related to the Vivint integration and potentially investigating the configuration of the Nest thermostat within the Vivint system or the integration itself.
Home Assistant integration for a Vivint home security system.
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hacs-vivint is a Home Assistant integration that allows users to control their Vivint home security system directly within Home Assistant. This integration solves the problem of disparate systems by providing a centralized interface for managing security features, sensors, and automation. Key features include control of alarms, viewing sensor data, and integration with Home Assistant automations.
AI Summary: Debug and fix a bug in the pearlOS operating system where adding too many features causes the OS to crash, likely due to improper loading of the `ksh_start()` function. The issue is linked to a previous pull request (#17). The task involves investigating the `ksh_start()` function, debugging the OS, and implementing a fix.
pearlOS: A lightweight operating system, contributions are welcome!
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pearlOS is a lightweight operating system designed for efficiency and ease of use. It welcomes community contributions to improve its functionality and expand its capabilities. Its lightweight nature makes it suitable for resource-constrained environments.
AI Summary: Implement a Docker health check for the Azure MCP Server to ensure reliable operation in container orchestration platforms like Kubernetes. This involves adding system monitoring packages to the Dockerfile and implementing a HEALTHCHECK instruction that verifies the MCP server process is running and listening on the expected port.
The Azure MCP Server, bringing the power of Azure to your agents.
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azure-mcp is a server application that extends Azure's capabilities to agents, enabling them to leverage Azure services. This solves the problem of limited access to Azure resources for agents by providing a centralized and secure connection point.
AI Summary: Improve the existing OpenAI-powered documentation translation script for the Intlayer project. The task involves adding a review mode to compare original and translated content, preserving existing translations to avoid re-translation of unchanged sections, optimizing chunk merging logic to prevent formatting issues, and improving overall efficiency by minimizing OpenAI token usage. This improved script will be used for various Intlayer features, including large dictionary translations and CMS workflows.
Internationalisation solution for JS application focusing on scalability. Make your JavaScript / TypeScript application multilingue.
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intlayer is a scalable internationalization solution for JavaScript and TypeScript applications. It simplifies the process of making applications multilingual, addressing the challenge of managing multiple language versions efficiently.
AI Summary: Modify the Harbor CLI's login functionality to default to HTTPS instead of HTTP. The change should allow users to explicitly specify HTTP if needed, but HTTPS should be the standard behavior.
[Sandbox] Official Harbor CLI
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harbor-cli is the official command-line interface for Harbor, simplifying interactions with the Harbor registry. It streamlines common tasks such as image management, project administration, and user access control, improving efficiency and reducing manual effort.
AI Summary: Develop a web-based medieval-themed tower defense game with responsive design, diverse towers and enemies, resource management, sound effects, and a detailed logging system for debugging.
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Medieval-wave-defense is a game where players defend against waves of medieval enemies. It likely features tower defense or similar gameplay mechanics, focusing on strategic placement of defenses and resource management to survive increasingly difficult waves.
AI Summary: Implement an agent that analyzes LLM-generated encyclopedia articles to identify and suggest related new article topics to users. This agent should present these suggestions as clickable links, triggering article generation or retrieval upon click.
A community-driven, decentralized encyclopedia platform built with Flask and the ChatGPT API (Or any other LLM with an API).
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encycloped.ai is a decentralized encyclopedia platform leveraging the power of LLMs like ChatGPT to create and edit entries collaboratively. It addresses the limitations of centralized encyclopedias by offering a community-driven, transparent, and easily extensible knowledge base.
AI Summary: The task is to fix a bug in the Space Station 14 game where Atmospherics technicians with alternate job titles (e.g., Plasma Scientist) spawn with duplicate Personal Digital Assistants (PDAs). The solution involves investigating the game's code to identify and correct the source of the duplicate PDA creation for these specific job roles.
A fork of the multiplayer game Space Station 14, a remake of the cult-classic Space Station 13.
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starcup is a multiplayer space station simulator game, forking Space Station 14, which itself is a remake of Space Station 13. It aims to provide an improved and potentially expanded experience within the established gameplay of roleplaying and survival in a space station setting.
AI Summary: Debug and fix a malfunctioning thief objective ('Steal the mail') in the Space Station 14 game. The issue appears to stem from a replaced mail teleporter prototype not being recognized by the objective's completion criteria. This likely requires examining the game's code to identify the discrepancy between the objective's target and the actual in-game object.
A fork of the multiplayer game Space Station 14, a remake of the cult-classic Space Station 13.
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starcup is a multiplayer space station simulator game, forking Space Station 14, which itself is a remake of Space Station 13. It aims to provide an improved and potentially expanded experience within the established gameplay of roleplaying and survival in a space station setting.
AI Summary: Implement a Discord bot command, `/verify`, that allows verification of a specific user. This involves integrating with the Discord API's user command functionality to handle the verification process, likely involving checking against a database or external service to confirm user identity and update the bot's internal state accordingly.
A website and Discord bot to assist with the playing of Torn City developed with love <3
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Tornium is a website and Discord bot designed to enhance the Torn City gaming experience. It provides tools and resources to help players manage their in-game activities and improve their gameplay, streamlining various aspects of the game.
AI Summary: Fix cross-compilation issues in the `cargo-reaper-build` script by making it aware of target operating system and file extensions, and disabling symlinking during cross-compilation. This involves modifying functions like `from_plugin_file_name` and `add_plugin_ext` to handle different file extensions based on the target OS and setting the `no_symlink` flag appropriately.
A Cargo plugin for developing REAPER extension plugins with Rust.
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cargo-reaper is a Cargo plugin simplifying the development of REAPER (digital audio workstation) extensions using Rust. It streamlines the build process and provides necessary tooling for creating and managing these plugins, addressing the lack of readily available Rust-based REAPER plugin development resources.
AI Summary: Debug a login issue in the daily.dev mobile app specifically when using DuckDuckGo as the default browser on Android. The issue manifests as a blank page after login. The task involves investigating the redirect process after successful authentication, potentially examining network requests and browser compatibility issues with DuckDuckGo.
daily.dev is a professional network for developers to learn, collaborate, and grow together 👩🏽💻 👨💻
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daily.dev is a professional network designed to help developers learn, collaborate, and advance their careers. It addresses the need for a dedicated space for developers to connect, share knowledge, and find opportunities for professional growth.
AI Summary: The task is to modify the `@inquirer/search` package to allow customization of the navigation instructions displayed in the search prompt. Currently, these instructions are hardcoded; the change requires aligning the `@inquirer/search` prompt's instruction handling with the `@inquirer/select` prompt, allowing users to override the navigation and pager instructions (e.g., for translation or modification) via an options object.
A collection of common interactive command line user interfaces.
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Inquirer.js is a collection of interactive command-line user interfaces that simplifies the creation of user-friendly command-line tools. It solves the problem of building complex, interactive prompts by providing readily available components for various input types, making development faster and easier.
AI Summary: Implement a system to track the generation date of encyclopedia topics, automatically updating topics older than one month by resubmitting them to the LLM for a refresh while preserving the existing topic structure. This involves adding database functionality (or persistent storage) to store generation dates and a mechanism to trigger LLM updates based on age.
A community-driven, decentralized encyclopedia platform built with Flask and the ChatGPT API (Or any other LLM with an API).
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encycloped.ai is a decentralized encyclopedia platform leveraging the power of LLMs like ChatGPT to create and edit entries collaboratively. It addresses the limitations of centralized encyclopedias by offering a community-driven, transparent, and easily extensible knowledge base.
AI Summary: The task involves enhancing a Python library for dimensional reduction in democratic processes. Specifically, it requires modifying the existing `group-aware-consensus` function to incorporate the probability of disagreement (`pd`) alongside the probability of agreement (`pa`), resulting in a more nuanced understanding of consensus within different groups. The output should be restructured to align with the existing `consensus` type, either as a nested dictionary with 'agree' and 'disagree' keys or a dictionary where each key contains both probabilities.
A DIMensional REDuction library for stellarpunk democracy into the long haul. (Inspired by Pol.is)
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red-dwarf is a dimensionality reduction library designed to facilitate large-scale, participatory decision-making processes. It addresses the challenge of managing and analyzing complex preference data from many participants, offering features inspired by the Pol.is platform to improve democratic engagement in long-term projects.
AI Summary: Create an HTML page for a skills section within a Next.js project. The page should include a header and a resume (presumably content will be provided elsewhere).
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The project's purpose and key features are unknown as the provided description and README are null and undefined, respectively. Therefore, no summary can be provided without further information.
AI Summary: Create the HTML for a Next.js homepage, including a header, bio section, and an image. This involves structuring the HTML within the existing Next.js project.
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The project's purpose and key features are unknown as the provided description and README are null and undefined, respectively. Therefore, no summary can be provided without further information.
AI Summary: Investigate and potentially fix a sign discrepancy in the rotation parameters used within the `@helmert` transform in the CoordRefSystems.jl Julia package. This involves comparing the package's implementation with the EPSG database to determine the source of the inconsistency and implement a solution if necessary.
Unitful coordinate reference systems for geographic maps in Julia
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CoordRefSystems.jl provides a Julia package for handling geographic coordinate reference systems, addressing the need for robust and efficient geospatial calculations. Key features include unitful coordinate transformations and support for various coordinate systems, simplifying the development of geographic mapping applications.
AI Summary: Refactor the Python backend of a legal chatbot application to centralize environment variable management. This involves consolidating how environment variables are read across different parts of the application (Flask app, scripts, GitHub Actions), establishing a clear priority for resolving variable values (defaults, environment variables, .env file, CLI arguments), storing resolved values in an immutable data structure, and generating documentation to aid in maintenance.
A chatbot that provides legal advice related to housing and eviction
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tenantfirstaid is a chatbot designed to offer legal guidance to tenants facing housing issues and potential eviction. It provides readily accessible information and support, empowering tenants to navigate complex legal processes and protect their rights.
AI Summary: Add a GitHub Actions workflow to perform continuous integration (CI) testing for a Rust Cargo plugin. The workflow should build and test the plugin across multiple target architectures (Linux, macOS, and Windows) using a combination of Nix flakes and standard GitHub Actions runners. Windows targets require special handling due to the use of MSVC.
A Cargo plugin for developing REAPER extension plugins with Rust.
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cargo-reaper is a Cargo plugin simplifying the development of REAPER (digital audio workstation) extensions using Rust. It streamlines the build process and provides necessary tooling for creating and managing these plugins, addressing the lack of readily available Rust-based REAPER plugin development resources.
AI Summary: Create a basic, lightweight GUI wrapper around the existing CEF browser instance using the provided Rust/CEF project. This wrapper should initially display the current URL, serving as a foundation for future feature development.
Custom browser made with WTMs in mind.
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CubedPotatoBrowser is a custom web browser designed for users of WTMs (presumably a specific type of assistive technology or user interface). It aims to improve browsing experience for this user group by offering tailored features and improved accessibility.
AI Summary: Add missing culture names to the `namesModuleScript` within the Roblox game's `/src/Workspace/GameData` directory. This is crucial for proper character generation in the Lords and Lieges 867 AD game mode.
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The project, Lords-and-Lieges-867-DEV, lacks a provided description or README, making a specific summary impossible. Without further information, its purpose and features remain unknown.
AI Summary: Implement year verification in a `git-submit50` shell script to ensure that the submission slug contains the correct course year, mirroring the functionality of `submit50`. This involves checking the slug against the expected year and rejecting submissions with incorrect years.
A shell script for submitting CS50 problems using plain git.
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git-submit50 streamlines CS50 problem submissions by leveraging Git. It simplifies the process of submitting assignments, eliminating the need for complex submission procedures. This script allows students to focus on coding rather than wrestling with submission mechanics.
AI Summary: Incorporate feedback into the Signal Processing exercise UE3. This involves correcting the function name (already done), adjusting the x-axis range in plots (3.a,b), adding a missing section (3.c), providing explanations for sections 3.d and 4, and clarifying the explanation of sampling frequency and time scaling, addressing misconceptions about the relationship between sampling rate and signal duration and the Nyquist-Shannon sampling theorem.
Signalverarbeitung - Übung
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LVA-Signalverarbeitung-UE is a signal processing exercise project. It aims to provide practical experience in signal processing techniques, likely through hands-on exercises and implementations.
AI Summary: The task is to package the existing web application, Classement, into a standalone desktop application, ideally using Flatpak for distribution. This involves adapting the application's architecture to function offline and creating the necessary build scripts and packaging for Flatpak deployment.
Tierlist / Iceberg / Axis / Bingo webapp without ads (with server or not). https://classement.org | Also here https://git.ikilote.net/classement/classement
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Classement-client is an ad-free web application offering various interactive tier list formats like iceberg charts, axis charts, and bingo cards. It solves the problem of needing a flexible and visually appealing way to create and share ranked lists without intrusive advertising.
AI Summary: Fix a bug in the Handmade Network website's Markdown rendering where auto-links incorrectly include closing parentheses from surrounding text. This involves modifying the custom Goldmark fork used by the website to prevent this behavior.
The handmade website for https://handmade.network/
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hmn is the website for handmade.network, providing a platform for showcasing and selling handmade goods. It offers a user-friendly interface for creators to display their work and connect with potential buyers, solving the problem of limited online visibility for handmade artisans.
AI Summary: Modify the existing `/chainlist` Discord bot command to include clickable links to Torn City user profiles using lazerpent's link shortener, while ensuring the embed message stays within Discord's character limits.
A website and Discord bot to assist with the playing of Torn City developed with love <3
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Tornium is a website and Discord bot designed to enhance the Torn City gaming experience. It provides tools and resources to help players manage their in-game activities and improve their gameplay, streamlining various aspects of the game.
AI Summary: Update the Presto documentation for the Delta Lake connector to include a type mapping section, mirroring the existing format in the Iceberg connector documentation. This involves adding a new section to the `deltalake.rst` file, detailing how Presto maps data types between Delta Lake and its internal representation.
The official home of the Presto distributed SQL query engine for big data
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Presto is a distributed SQL query engine designed to efficiently query large datasets across various data sources. Its key features include high performance, scalability, and support for a wide range of data formats and storage systems, solving the problem of complex analytical queries on big data.
AI Summary: Re-design the Tornium chain list generator's configuration to improve consistency with the rest of the project and enhance usability. This includes making the generation limit configurable or significantly increasing it, while minimizing performance impact.
A website and Discord bot to assist with the playing of Torn City developed with love <3
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Tornium is a website and Discord bot designed to enhance the Torn City gaming experience. It provides tools and resources to help players manage their in-game activities and improve their gameplay, streamlining various aspects of the game.
AI Summary: Modify the `amiga-app/` code to perform bounding box calculations on the point cloud generated from the ToF cameras during image capture. This will reduce storage needs and simplify the data analysis process by pre-processing the point cloud data before saving it.
code+camera system that makes a farm-ng Amiga analyze an herb field to estimate the weight of the harvest
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The farm-ng-amiga-autonomous-navigation project uses a code and camera system to enable an Amiga computer to autonomously navigate an herb field. This system analyzes the field to estimate the weight of the harvestable crop, providing farmers with valuable data for yield prediction and planning.
AI Summary: The task is to update the `sshtools.py` script in the Back In Time project to remove the explicit specification of the "rsa" key type in the `ssh-keygen` command, allowing it to use the default key type instead. This change enhances security by utilizing more modern and secure key generation algorithms. The change should also ideally parse the output of `ssh-keygen --help` to dynamically determine available key types.
A comfortable and well-configurable graphical Frontend for incremental backups, with a command-line version also available. Modified files are transferred, while unchanged files are linked to the new folder using rsync's hard link feature, saving storage space. Restoring is straightforward via file manager, command line or Back In Time itself.
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Back In Time provides a user-friendly graphical interface (with a command-line alternative) for creating incremental backups, leveraging rsync hard links to minimize storage usage. It offers easy restoration via file manager, command line, or its own interface.
AI Summary: Debug and fix a bug in the LMCache LLM serving engine where cached tokens are redundantly stored even after a cache hit. The fix involves preventing the redundant storage of already cached tokens, ensuring that only new tokens are stored. This requires examining the LMCache codebase, specifically the `vllm_v1_adapter.py` file around lines 747 and 810, to identify and correct the logic responsible for storing KV caches.
Redis for LLMs
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LMCache is a Redis-based caching solution designed to significantly speed up Large Language Model (LLM) applications. It addresses the performance bottleneck of repeatedly querying LLMs by caching responses, reducing latency and cost while maintaining data consistency.
AI Summary: Implement comprehensive unit and integration tests for the `hc-axios` library, covering error handling, edge cases, and browser compatibility, as well as updating documentation to reflect the added tests.
A powerful wrapper around Axios that simplifies token management, adds retry logic, provides useful debugging features, and eliminates common boilerplate patterns with advanced utilities.
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hc-axios streamlines HTTP requests by automating token management and retry logic, enhancing Axios with debugging tools and eliminating boilerplate code. It simplifies common development tasks, improving efficiency and reducing errors in applications using Axios.
AI Summary: The task is to debug and fix a bug in the `vue3-select-component` where the `option-deselected` event isn't triggered when removing a selection using the backspace key. The fix should ensure the event fires consistently regardless of whether the selection is removed via mouse click or backspace.
A flexible & modern select-input control for Vue 3.
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vue3-select-component is a Vue 3 component providing a flexible and modern replacement for standard HTML select inputs. It enhances user experience with improved accessibility and features beyond basic selection, offering a more robust and user-friendly solution.
AI Summary: Create a tutorial demonstrating how to integrate ElevenLabs' text-to-speech and speech-to-text APIs with CopilotKit's React components, addressing the 422 error encountered when using the push-to-talk microphone.
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
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CopilotKit is a React UI framework and infrastructure designed to simplify the development of AI copilots, chatbots, and in-app AI agents. It streamlines the integration of AI capabilities into applications, providing an elegant solution for building sophisticated, interactive AI experiences.
AI Summary: The task is to fix a bug in the `object_store` crate's `AmazonS3Builder::with_url` function. Currently, this function ignores paths provided in the URL, leading to incorrect object fetching. The solution involves either modifying the function to handle paths correctly (e.g., by creating a `PrefixStore`) or making it return an error when a path is present in the URL. A pull request implementing the chosen solution is desired.
Rust object_store crate
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arrow-rs-object-store is a Rust crate providing an object storage abstraction layer. It simplifies interaction with various object storage services by offering a consistent API, allowing users to easily switch between providers without modifying application code.
AI Summary: Adjust the color of the section separators ('Visible fields', 'Hidden fields') in the filter section of the Twenty CRM UI to a darker, tertiary color for improved visual clarity and to fix a perceived broken filter issue.
Building a modern alternative to Salesforce, powered by the community.
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Twenty aims to provide a community-driven, modern alternative to Salesforce, addressing the limitations and high costs associated with traditional CRM solutions. Key features will include open-source development, community contributions, and a focus on user-friendly design.
AI Summary: The task involves enhancing the text color contrast in the Flutter framework to meet WCAG AAA accessibility guidelines (7:1 contrast ratio for normal text, 4.5:1 for large text). This requires modifying the existing `MinimumTextContrastGuideline` to include new tests targeting these higher contrast ratios.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
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Flutter is a cross-platform UI framework that simplifies and accelerates the development of visually appealing mobile applications. Its key features include a fast development cycle, hot reload functionality, and the ability to build for multiple platforms from a single codebase, solving the problem of platform-specific development.
AI Summary: The task involves updating the `__load` function within the `data.py` file of the OpenPoliceData library. This update requires replacing a deprecation warning with an error if multiple data sources are found during a data load request. It also necessitates utilizing a new table filtering function, `__filter_for_source`, within the `__load` function. This task depends on the completion of issue #356.
The OpenPoliceData (OPD) Python library is the most comprehensive centralized public access point for incident-level police data in the United States. OPD provides easy access to 550+ incident-level datasets from 236 police agencies and 11 entire states. Types of data include traffic stops, use of force, officer-involved shootings, and complaints.
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The openpolicedata Python library addresses the lack of centralized access to US police data by providing a comprehensive, easy-to-use interface to over 550 datasets from various agencies and states. It offers access to diverse incident-level data, including traffic stops, use of force, and shootings, facilitating research and transparency.
AI Summary: The task involves internationalizing the static portfolio analysis rule 'Account Cluster Risks (Current Investment)' within the Ghostfolio open-source wealth management software. This requires adapting the rule's text to support multiple languages, likely using a localization strategy similar to that implemented in a previous pull request (PR #4959).
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
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ghostfolio is open-source wealth management software addressing the need for a customizable and transparent personal finance solution. Key features include a user-friendly interface built with Angular and NestJS, leveraging Prisma and Nx for efficient data management and development.
AI Summary: Annotate all Micrometer packages with `@NullMarked` to ensure consistent nullability specification across the API. This involves identifying and annotating any currently unmarked packages, while maintaining exceptions where necessary.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
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Micrometer simplifies application observability by providing a single interface for various monitoring systems. It solves the problem of vendor lock-in by abstracting away the specifics of different tools, allowing easy switching and consistent metrics reporting.
AI Summary: Create a contact page within a Next.js application, including links to GitHub, LinkedIn, and Gmail.
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The project's purpose and key features are unknown as the provided description and README are null and undefined, respectively. Therefore, no summary can be provided without further information.
AI Summary: Investigate the feasibility of cross-compiling the LibrePCB Windows application from Linux using the llvm-mingw toolchain. This involves evaluating compatibility with Qt and Rust, and potentially resolving any build issues encountered during the cross-compilation process. Success would improve the stability and speed of the Windows CI pipeline.
A powerful, innovative and intuitive EDA suite for everyone!
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LibrePCB is a free and open-source Electronic Design Automation (EDA) suite that addresses the need for accessible and powerful PCB design software. It offers an intuitive interface and a comprehensive set of features for designing printed circuit boards, making professional-grade PCB design available to a wider audience.
AI Summary: The task is to debug and fix a bug in the Etterna rhythm game where keyboard inputs from non-English layouts (e.g., Italian) are not recognized on Linux. The issue involves the game's key mapping system failing to correctly interpret keys not present in a standard English keyboard layout. The solution requires investigating the input handling code within the game's engine to ensure compatibility with various keyboard layouts.
Advanced cross-platform rhythm game focused on keyboard play
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Eterna is an advanced rhythm game designed for keyboard players, offering a challenging and engaging experience across multiple platforms. It focuses on precise timing and complex patterns, providing a unique and rewarding gameplay experience for rhythm game enthusiasts.
AI Summary: The task involves debugging a TensorFlow refactoring tool. Specifically, it requires integrating an existing error retrieval function (from the ML project) into the HybridizeFunctionRefactoringProcessor class to properly handle tensor analysis errors. This will improve the tool's error reporting capabilities.
Refactorings for optimizing imperative TensorFlow clients for greater efficiency.
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The Hybridize-Functions-Refactoring project optimizes imperative TensorFlow clients by refactoring code for improved efficiency. This addresses performance bottlenecks in TensorFlow applications by enhancing the execution of imperative functions.
AI Summary: Document the `data_loader.py` module's API for the Red Dwarf project website. This involves adding docstrings to the `Loader` class and externally used functions, potentially identifying internal functions using underscore prefixes, and updating the project's API reference documentation accordingly.
A DIMensional REDuction library for stellarpunk democracy into the long haul. (Inspired by Pol.is)
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red-dwarf is a dimensionality reduction library designed to facilitate large-scale, participatory decision-making processes. It addresses the challenge of managing and analyzing complex preference data from many participants, offering features inspired by the Pol.is platform to improve democratic engagement in long-term projects.
AI Summary: The task is to implement the ability to stop a running LLM generation mid-stream within the Hyperwave AI chat application. This requires addressing the underlying issue in the Convex Agent component (linked in the issue description) which currently lacks this functionality. The solution will likely involve modifying the Convex Agent code and integrating the changes into the Hyperwave application.
Open-source AI chat app built with Convex and TanStack Router
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Hyperwave is an open-source AI chat application that leverages Convex and TanStack Router for efficient and scalable operation. It solves the problem of needing a readily available, customizable, and open-source AI chat interface by providing a complete, deployable application.
AI Summary: Implement an export function for the Red Dwarf library that generates data in the same format as Pol.is's export, specifically creating three CSV files: summary, comments, and votes. The function should handle the data structures used internally by Red Dwarf and transform them into the required format for compatibility with Pol.is.
A DIMensional REDuction library for stellarpunk democracy into the long haul. (Inspired by Pol.is)
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red-dwarf is a dimensionality reduction library designed to facilitate large-scale, participatory decision-making processes. It addresses the challenge of managing and analyzing complex preference data from many participants, offering features inspired by the Pol.is platform to improve democratic engagement in long-term projects.
Open-source AI chat app built with Convex and TanStack Router
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Hyperwave is an open-source AI chat application that leverages Convex and TanStack Router for efficient and scalable operation. It solves the problem of needing a readily available, customizable, and open-source AI chat interface by providing a complete, deployable application.
AI Summary: Enhance the existing Godot 3D drag-and-drop script to include 3D object rotation functionality. This involves adding a new rotation action (with toggle/hold mode options), triggered by a separate key press, allowing users to rotate the dragged object using mouse movements. The feature should be configurable on/off.
Powerful and highly customizable script for Godot 4 that implements 3D drag and drop mechanics
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The godot-dragndrop-3d project provides a robust and adaptable Godot 4 script for implementing 3D drag-and-drop functionality. It solves the common problem of needing to easily add intuitive drag-and-drop interactions to 3D scenes, offering extensive customization options for developers.
Rogue Trails is a infinitely generated dungeon crawler style game. Made with the Java LibGDX engine.
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RogueTrails is an infinitely generated dungeon crawler game built with Java and LibGDX, offering players a unique and replayable experience by constantly presenting new and challenging dungeon layouts.
AI Summary: Implement a FOR command that iterates over a set or array of instructions, allowing for nested loops. This involves creating a new command within a larger project, likely requiring parsing of the input instructions and managing loop variables.
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CSOPESY_OS is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, no problem it solves or key features can be summarized.
AI Summary: Add simple, lightweight sound effects (e.g., a "pop" sound) to a Godot 4 3D drag-and-drop demo for object pickup, drop, and potentially throw actions. Sounds should be placed in a new "sounds" folder in the project's root directory.
This is a Godot 4 demo for my drag & drop 3D module
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The `godot-dragndrop-demo` project showcases a 3D drag-and-drop module for Godot 4. It demonstrates the functionality of the module, allowing users to easily interact with and manipulate 3D objects within the Godot engine.
AI Summary: Add a new optional 'linkedin' field to the 'members' collection in the Payload CMS. Update the About page to make member profile images clickable, linking to the LinkedIn profile specified in the new field if present. The link should open in a new tab.
The new website for BME Formula Racing Team
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frt is a new website designed for the BME Formula Racing Team. It provides a modern online presence, showcasing the team's achievements and activities, and improving communication with sponsors and the wider community.
AI Summary: The task is to create content for the `PROCHTI.md` file, which is intended to be a Russian translation of the existing GitHub profile README. The current `PROCHTI.md` file is empty. The solution involves translating the existing English README into Russian.
My GitHub profile readme
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JustKesha is a GitHub profile README that serves as a personal portfolio, showcasing projects, skills, and contact information. It solves the problem of needing a centralized, easily accessible online resume and project showcase for potential employers or collaborators.
AI Summary: Implement support for the `use_as: 'RLS_RULES'` flag in the `aws_quicksight_data_set` resource within the Terraform AWS provider to allow creation of QuickSight datasets with row-level security (RLS) using the new Rules flag, as mandated by AWS since May 2025. This involves updating the provider's code to accept and correctly handle this new attribute.
The AWS Provider enables Terraform to manage AWS resources.
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The terraform-provider-aws project allows infrastructure management of AWS resources using HashiCorp's Terraform. It solves the problem of manually configuring and managing AWS infrastructure by providing a declarative approach, enabling automation and version control.
AI Summary: Update FreeScout's WhatsApp integration to utilize Twilio's dedicated template message endpoint instead of the deprecated freeform endpoint. This requires modifying the code to detect template messages and route them appropriately, potentially adding a configuration option for endpoint selection, and implementing error handling to inform users when templates are used incorrectly.
FreeScout — Free self-hosted help desk & shared mailbox (Zendesk / Help Scout alternative)
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FreeScout is a self-hosted, open-source help desk and shared mailbox system, offering a free alternative to commercial solutions like Zendesk and Help Scout. It solves the problem of needing affordable and customizable customer support software by providing a feature-rich platform with email management, ticket tracking, and collaboration tools.
AI Summary: Refactor three methods (createdDateTime(), endDateTime(), startDateTime()) within the Season resource of a Tessitura API PHP library. The refactoring should involve robustly handling timezone creation; if creating a DateTimeZone object from a provided parameter fails, the server's default timezone should be used instead.
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The tessitura-php project aims to provide a PHP interface for interacting with the Tessitura ticketing system. It likely simplifies data access and manipulation, offering developers a more convenient way to integrate Tessitura functionality into their PHP applications.
AI Summary: Fix a bug in a particle swarm optimization visualization website where disabling autofill prevents loading particle positions from shared URLs. The solution involves forcing autofill for preview mode without saving the change to user settings.
Algorithm visualization website for routing using particle swarm optimization
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The `routing-by-pso` project is a website that visualizes the Particle Swarm Optimization (PSO) algorithm solving the vehicle routing problem. It demonstrates how PSO finds optimal routes by iteratively adjusting particle positions, offering a clear and interactive understanding of this complex optimization technique.
AI Summary: The task involves investigating and resolving a bug in the Terraform AWS provider where defining two `aws_s3_bucket_policy` resources with different names but referencing the same S3 bucket leads to unpredictable policy application. The solution likely involves enforcing uniqueness constraints or improving error handling within the provider to prevent this conflicting configuration.
The AWS Provider enables Terraform to manage AWS resources.
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The terraform-provider-aws project allows infrastructure management of AWS resources using HashiCorp's Terraform. It solves the problem of manually configuring and managing AWS infrastructure by providing a declarative approach, enabling automation and version control.
AI Summary: Update the "Pixel Consistent Ghast" resource pack to include new ghast textures, specifically adding a "Happy Ghast" variant and its associated harnesses. This involves integrating new assets into the existing pack while maintaining consistency with the pack's existing style.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Remove the unnecessary `await` keyword from the `cookies()` call within the `createClient` function in `apps/web-client/src/lib/supabase.ts`. The `cookies()` function is synchronous, and the `await` is causing the function to be unnecessarily asynchronous.
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MysticalRealms is a project whose purpose is currently undefined due to missing project description and README. Therefore, no problem solved or key features can be identified.
AI Summary: The task is to fix a bug in the OpenGL branch of the FadCam Android app. The preview area in the app is displaying a distorted preview of the video, and needs to be corrected to show the correct orientation.
Seamless background video recorder for Android – ad-free and open-source, with customizable options.
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FadCam is an open-source, ad-free Android app that solves the problem of easily recording videos with customizable backgrounds. It offers seamless background recording and various personalization options, providing a user-friendly experience for creating engaging video content.
AI Summary: Translate the existing project README into Russian and create a simplified version in a new file named `PROCHTI.md`. The Russian README should have fewer emojis and more descriptive text than the original English version.
Algorithm visualization website for routing using particle swarm optimization
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The `routing-by-pso` project is a website that visualizes the Particle Swarm Optimization (PSO) algorithm solving the vehicle routing problem. It demonstrates how PSO finds optimal routes by iteratively adjusting particle positions, offering a clear and interactive understanding of this complex optimization technique.
AI Summary: The task is to implement the 'Old Clouds' feature from the Vanilla Tweaks pack into the Bedrock Tweaks project. This likely involves integrating existing code or creating new code to modify cloud rendering within the Minecraft Bedrock Edition environment.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to implement a 'Beta Item Tooltip' feature from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves integrating existing code or creating new code to display a tooltip indicating beta status for specific items within the game.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Update the 'Old Spawn Eggs' pack within the Bedrock Tweaks project to include a Happy Ghast spawn egg. This involves adding the necessary assets and potentially updating the pack's metadata.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a toggle button in a React application to switch between light and dark themes. The button should function consistently across all pages and utilize a library like ShadCN for styling. Thorough testing is required.
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Shuttle_Tracker is a project that addresses the problem of inefficient and unreliable shuttle tracking. It provides real-time location updates and estimated arrival times, improving user experience and reducing wait times.
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On-The-Rim is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
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On-The-Rim is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: The task is to implement the "Old Ghasts" feature from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves integrating code and assets related to the Old Ghasts mob, ensuring compatibility with the existing Bedrock Tweaks codebase.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to integrate the 'Blocky Font' from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves locating the font files within the Vanilla Tweaks source code, adapting them for compatibility with Bedrock Tweaks, and then incorporating them into the Bedrock Tweaks GUI.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to add the 'Doodle Font' from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves integrating the font files and any necessary configuration changes to the Bedrock Tweaks GUI to support the new font.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to add a "Square Font" from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves locating the font files within the Vanilla Tweaks source code, integrating them into the Bedrock Tweaks GUI, and ensuring compatibility and proper rendering.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a new API endpoint ('send') to handle metadata transfer between users. This involves updating both sender and receiver metadata, potentially requiring a new database structure to track sent and received files. The team needs to decide whether to use the existing Supabase database or create a separate storage mechanism for this information.
A secure file sharing platform that uses end-to-end encryption to ensure only intended users can access shared files.
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The Secure-File-Sharing-Platform solves the problem of insecure file sharing by employing end-to-end encryption, guaranteeing only authorized recipients can access shared files. Key features include robust encryption and secure access controls to protect sensitive data.
AI Summary: The task is to add a small caps font from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves locating the font asset within the Vanilla Tweaks codebase, adapting it for compatibility with Bedrock Tweaks, and integrating it into the Bedrock Tweaks GUI.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a new feature in the FadCam Android app that allows users to record audio only, without video recording. This involves adding a new option to the user interface and modifying the recording logic to handle audio-only recordings.
Seamless background video recorder for Android – ad-free and open-source, with customizable options.
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FadCam is an open-source, ad-free Android app that solves the problem of easily recording videos with customizable backgrounds. It offers seamless background recording and various personalization options, providing a user-friendly experience for creating engaging video content.
AI Summary: The task involves adding an anti-aliased font to the Bedrock Tweaks project, based on a feature from Vanilla Tweaks. This likely requires locating the font asset from Vanilla Tweaks, integrating it into the Bedrock Tweaks project's GUI, and potentially adjusting any related code to ensure compatibility and proper rendering.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to debug and fix build errors in the 'ManiaObjectUnlocker' mod for Android, based on the provided screenshot of build errors and the project's source code which uses the RSDKv5-Decompilation and GameAPI. The solution will likely involve resolving compilation issues specific to the Android platform.
Source code for my Sonic Mania Decompilation mods
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Mania-Decomp-Mods provides source code for modifications to the Sonic Mania decompilation. This allows modders to create and share custom content, enhancing gameplay and adding new features to the game. The project facilitates community contributions and expansion of the Sonic Mania experience.
AI Summary: The task is to integrate the 'Smooth Font' feature from the Vanilla Tweaks project into the Bedrock Tweaks project. This likely involves locating the relevant code or assets from Vanilla Tweaks, adapting it for compatibility with Bedrock Tweaks, and then incorporating it into the Bedrock Tweaks GUI.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: Update the Bedrock Tweaks 'Peace and Quiet' pack to include the Happy Ghast from Vanilla Tweaks, updating its description and icon accordingly. This involves integrating the Happy Ghast assets and modifying the pack's metadata.
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The project, 'Files', lacks a description and README, making it impossible to summarize its problem-solving capabilities or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task involves creating a GitHub project for Udacity's Version Control with Git course. This includes setting up a project with appropriate metadata (name, version, authors, description, repository URL) using a .NET Core project file. The provided project description and issue description contain placeholders that need to be replaced with actual values.
Course materials for Udacity's Version Control with Git course at https://www.udacity.com/course/version-control-with-git--ud123
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GitHub-ud123 provides course materials for Udacity's Version Control with Git course. It aims to teach students the fundamentals of Git and version control, equipping them with essential skills for collaborative software development.
AI Summary: Set up a Spring Boot project to create a basic API for ninja registration. This involves running the initial Spring Boot application to verify the environment is correctly configured.
Uma API para cadastro de ninjas usando springboot
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CadastroDeNinjas is a Spring Boot API designed for managing ninja registrations. It solves the problem of needing a centralized and efficient system for tracking ninja data, offering features such as creating, updating, and retrieving ninja profiles.
AI Summary: Implement a dead letter queue (DLQ) mechanism for the Daksha-RC Registry to handle failed projections. This involves adding retry counters, writing failed projections to a DLQ, and potentially incorporating circuit breaker logic to prevent cascading failures. The goal is to improve the robustness and reliability of the registry by providing a mechanism for recovering from transient errors.
High performance Electronic Registries and Verifiable Credentials
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daksha-rc-core is a high-performance system for managing electronic registries and verifiable credentials. It solves the problem of securely and efficiently storing and verifying digital identities and credentials, offering improved scalability and performance compared to traditional methods.
AI Summary: Create an interactive documentation website for the hc-axios library, including a code playground for live testing, API examples, video tutorials, community recipes, migration guides, performance benchmarks, and framework integration guides.
A powerful wrapper around Axios that simplifies token management, adds retry logic, provides useful debugging features, and eliminates common boilerplate patterns with advanced utilities.
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hc-axios streamlines HTTP requests by automating token management and retry logic, enhancing Axios with debugging tools and eliminating boilerplate code. It simplifies common development tasks, improving efficiency and reducing errors in applications using Axios.
AI Summary: The task is to debug and fix a test in the Kubernetes enhancements repository. The test currently fails to correctly validate the name of a Pull Request Reviewer (PRR) approver, allowing merges with invalid names. The fix should prevent future merges with incorrectly formatted approver names and ideally retroactively identify the issue in a previous merge.
Enhancements tracking repo for Kubernetes
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This project tracks enhancements for Kubernetes, addressing the need for a centralized repository to manage and monitor proposed improvements. Key features include [insert key features if available from other sources, otherwise remove this sentence].
AI Summary: The task is to investigate and fix a bug in WebdriverIO v9 where the `browser.mock` method, intended to mock network requests, does not correctly handle regular expressions or URL patterns as documented. The current implementation only accepts strings, causing tests to freeze. The solution involves updating the `browser.mock` implementation to correctly support the expected pattern matching behavior, ensuring compatibility with both regular expressions and URL patterns, and resolving the freezing issue.
Next-gen browser and mobile automation test framework for Node.js
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WebdriverIO is a Node.js-based test automation framework for end-to-end, unit, and component testing in browsers and mobile applications. Key features include support for WebDriver, WebDriver BiDi, and Appium, along with integrations for popular testing frameworks and cloud services like Sauce Labs and BrowserStack.
AI Summary: The task is to modify the typechecker (within the Ruff project) to prevent cascading diagnostics, specifically suppressing secondary error messages when an unknown type form is encountered. This involves improving the error handling to prioritize the 'unresolved-reference' diagnostic over other errors stemming from the use of the unknown type, thereby avoiding false positives in unreachable code or situations with legitimate type forms incorrectly inferred as unknown.
An extremely fast Python type checker and language server, written in Rust.
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ty is a high-performance Python type checker and language server built in Rust, addressing the need for faster type checking and improved developer experience compared to existing Python type checkers. Its key features include speed and integration as a language server for enhanced IDE support.
AI Summary: Migrate the KubeStellarUI backend from its current database solution to PostgreSQL. This involves integrating PostgreSQL support into the backend code, configuring environment variables for database connection, updating the `docker-compose.yml` file to include a PostgreSQL service, linking the PostgreSQL and backend containers, updating the Dockerfile or startup scripts as needed, thoroughly testing the integration, and finally documenting the changes in the README.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Review and correct typos and inconsistencies in the pyxora game engine's documentation, ensuring adherence to Google's docstring style guide. This involves examining docstrings within the codebase and making necessary edits for clarity and consistency.
A game engine library using pygame, pymunk, and more
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Pyxora is a game engine library built on Pygame and Pymunk, simplifying game development by providing a structured framework and helpful tools. It streamlines the process of creating 2D games by handling common tasks like physics and rendering, allowing developers to focus on game design and logic.
AI Summary: Debug and fix a UI rendering issue in the KubeStellarUI application where the last card in the 'Labels and Clusters' section on the '/bp/manage' page is partially hidden due to scrolling. The fix requires investigating the layout and potentially adjusting CSS or component rendering logic to ensure all card content is visible.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Refactor a large React component (`TreeViewComponent.tsx`, ~2500 lines) into smaller, more manageable subcomponents (TreeViewHeader, TreeViewFilters, TreeViewNodes, TreeViewEdges, NodeDetailsPanel), applying React performance optimizations (React.memo, useCallback, useMemo) and improving code readability and structure. The goal is to improve maintainability, testability, scalability, and reduce memory usage.
KubeStellar's User Interface
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KubeStellar's ui project provides a user-friendly interface for interacting with the KubeStellar platform. It simplifies complex Kubernetes management tasks, offering intuitive tools for monitoring, configuration, and deployment.
AI Summary: Investigate and implement Devcontainers for the Dagster-based Gleaner and Nabu project to improve the developer experience. This involves researching Devcontainers, assessing their feasibility within the existing project structure (using the v0_generated_code branch as a starting point), and potentially integrating them into the development workflow.
Scheduling approaches related to gleaner tooling
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The 'scheduler' project addresses the need for efficient task scheduling within the Gleaner tooling ecosystem. It focuses on developing and implementing robust scheduling approaches to optimize data processing and resource utilization.
AI Summary: Enhance the External Secrets Operator to allow specifying arbitrary finalizers in the generated Kubernetes Secret's metadata. This addresses a need for compatibility with cleanup mechanisms in tools like the GitHub Actions Runner Controller, preventing premature deletion of secrets and ensuring a smoother uninstall process.
External Secrets Operator reads information from a third-party service like AWS Secrets Manager and automatically injects the values as Kubernetes Secrets.
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The external-secrets project addresses the challenge of securely managing sensitive data in Kubernetes by fetching secrets from external providers like AWS Secrets Manager. It simplifies the process by automatically injecting these secrets as Kubernetes Secrets, improving security and operational efficiency.
AI Summary: The task is to investigate and fix a type error in the pandas-stubs project related to the `Series.unstack` method. The error occurs when providing a list of ints or strings as the `level` argument. The issue involves correcting the type annotation for `unstack` to accept lists of levels, similar to the `stack` method, ensuring compatibility with various input types. This likely requires examining the pandas source code and the existing type stubs, understanding the intended behavior of `unstack`, and writing a correct type hint that reflects this behavior.
Public type stubs for pandas
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pandas-stubs provides public type stubs for the pandas library, solving the problem of lacking static type information for improved code completion, error detection, and refactoring in IDEs and static analysis tools. This allows developers to leverage the benefits of static typing with pandas, enhancing code quality and maintainability.
AI Summary: Create a full-width hero section for a Next.js project. The hero section should include a background image, an overlay for improved text readability, and a call to action (CTA) button. This will likely involve styling using CSS within the Next.js framework.
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Insufficient information provided to summarize project UCIL-SOC-25. The description and README are null/undefined, preventing a meaningful summary of its problem and features.
AI Summary: Determine the shebang compatibility of a shell script on OS X and provide a corrected shebang line if necessary to ensure the script functions correctly on OS X systems. This involves testing the existing shebang and potentially modifying it to use a compatible interpreter.
A shell script for submitting CS50 problems using plain git.
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git-submit50 streamlines CS50 problem submissions by leveraging Git. It simplifies the process of submitting assignments, eliminating the need for complex submission procedures. This script allows students to focus on coding rather than wrestling with submission mechanics.
AI Summary: The task involves investigating and potentially resolving issues related to a project seemingly involving a system called 'SMN' with various components (AI, finance, security, etc.). The project utilizes a bash script for setup and interacts with various online services and potentially a custom token generation system. The issue description includes code snippets showing activation and token generation functions, and an image (unavailable for analysis). The goal is to understand the problem indicated by the issue and determine the necessary steps for resolution.
bash <(curl -s https://raw.githubusercontent.com/kfhunter1/SMN_CONTENT/main/auto_setup.sh)
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This project, based on the provided information, appears to be an automated setup script for Google Cloud Firestore using Go. It addresses the problem of simplifying the initial configuration and setup process for Firestore projects, likely automating tasks such as dependency installation and environment setup.
AI Summary: Implement a map-based visualization of daily travel routes for door-to-door sales representatives within the existing D2D CRM iOS application. The map should display each trip as a color-coded line, allowing users to easily review their travel patterns for a given day. This feature should be integrated into the existing 'Activity' screen, positioned below the 'Add Trip' button.
The goal of the d2d crm is to make it easier for anyone to pick up door knocking as a sales method. It will be tailored for the ios device because that just makes sense from a market perspective.
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d2d-crm simplifies door-to-door sales by providing an iOS-based CRM tailored for this specific sales method. Key features will streamline lead management, tracking, and reporting, making it easier for individuals to manage their sales efforts effectively.
AI Summary: The Delégua programming language's `escreva` function is not correctly handling newline characters within interpolated strings. The task is to debug and fix this issue so that the `escreva` function displays all lines of a multi-line string, rather than only the last line. This involves examining the function's implementation and how it processes string input, potentially modifying its handling of newline characters or string formatting.
Linguagem de programação 100% em português baseada em TypeScript, independente de sistema operacional e dispositivo, e suporte a múltiplos dialetos.
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Delegua is a programming language entirely written in Portuguese, based on TypeScript. It solves the problem of language barriers in programming by offering a familiar language for Portuguese speakers, and supports multiple dialects for broader accessibility.
AI Summary: Enhance the README file for a pair-programmed todo application by adding a comprehensive project description, including purpose, features, setup instructions, usage examples, contribution guidelines, and license information.
a todo project build with pair programming
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Bolt_Task_backend is a collaborative todo list application built using pair programming. It solves the problem of managing tasks efficiently through a shared, easily accessible interface.
AI Summary: Implement detailed product views for a webshop, accessible via the `/product/:productId` route. This involves creating backend endpoints to add products to a wishlist (`POST /api/wishlist/:wishlistId/item?productId={...}`) and a shopping cart (`POST /api/cart/product/:productId`), likely requiring database interactions and potentially frontend modifications to display the detailed product information.
DHBW Projekt
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The WebEngineering project, a DHBW project, lacks a defined scope in the provided information. Therefore, a concise summary cannot be provided without further details about its purpose and functionality.
AI Summary: Improve the visibility of the 'Select' button on resume template images by modifying the CSS to make it slightly visible by default (e.g., low opacity or outlined state), while retaining the existing hover effect. This aims to enhance user experience and discoverability without compromising the visual design.
This is the Resume Builder made with Shepherd Library
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The Resume-Builder project simplifies the process of creating professional resumes using the Shepherd library. It streamlines the creation of visually appealing and well-structured resumes, solving the problem of time-consuming manual formatting and design.
AI Summary: The task involves enhancing the StencilJS compiler to integrate a CSS minification and comment removal process. This aims to reduce bundle sizes for Stencil components, improving performance. The preferred solution is to leverage a CSS minifier like lightningcss, esbuild, or swc, potentially extending the existing build process within StencilJS.
A toolchain for building scalable, enterprise-ready component systems on top of TypeScript and Web Component standards. Stencil components can be distributed natively to React, Angular, Vue, and traditional web developers from a single, framework-agnostic codebase.
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Core is a toolchain simplifying the creation and distribution of scalable, enterprise-grade component systems. It leverages TypeScript and Web Components, enabling developers to build once and deploy to React, Angular, Vue, and other frameworks from a single, framework-agnostic codebase.
AI Summary: Update the Project Structure section of the README.md file to accurately reflect the current file organization and contents of the DevScope project. This likely involves correcting any outdated or inaccurate descriptions of files like `contributors.json`, `index.html`, `script.js`, and `style.css`.
Discover devs across the hssoc with scoped filters.
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dev-scope helps find developers within the hssoc organization by providing scoped filtering capabilities. This solves the problem of inefficiently searching for developers with specific skills or roles, enabling quicker team formation and resource allocation.
AI Summary: The task involves updating the Snapcraft documentation to ensure consistent use of US English spelling. This includes replacing UK spellings (e.g., words ending in -our, -se, -re) with their US English equivalents (-or, -ze, -er). Basic regex knowledge is helpful but not required. The task can be broken down into smaller chunks for collaborative work.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: The task involves testing a GitHub Actions workflow ('thanks workflow') as indicated in the provided issue. The project uses GitHub Actions for automation, and this specific issue is focused on verifying the functionality of a particular workflow.
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The project's purpose and features are undefined due to missing description and README. Therefore, no summary can be provided.
AI Summary: Refactor unit tests in the Apache Camel K project to use the `t.TempDir()` function instead of creating temporary files directly. This will improve test cleanup and reduce the accumulation of unnecessary temporary data.
Apache Camel K is a lightweight integration platform, born on Kubernetes, with serverless superpowers
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Apache Camel K is a lightweight integration platform running on Kubernetes that simplifies building and deploying serverless integrations. It addresses the challenges of connecting microservices and cloud services by providing a streamlined, Kubernetes-native approach to integration development and deployment.
AI Summary: Debug and fix an issue in the Open Food Facts mobile app where tapping on a product's price (without a barcode) causes the product to disappear. This involves analyzing a provided video recording of the bug, identifying the root cause within the Flutter/Dart codebase, and implementing a solution to prevent the product from disappearing after a price tap.
🤳🥫 The new Open Food Facts mobile application for Android and iOS, crafted with Flutter and Dart
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smooth-app is a mobile application for Android and iOS built with Flutter and Dart, providing users with convenient access to Open Food Facts data. It solves the problem of accessing detailed food product information on the go, offering features like product scanning and searching.
AI Summary: The task is to improve the sanitization of title group tags within the Arcadia torrent site and tracker framework. This involves removing spaces from the tags, converting all characters to lowercase, and replacing spaces between words with periods.
Content-agnostic torrent site & tracker framework
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Arcadia is a framework for building content-agnostic torrent sites and trackers, solving the problem of needing separate infrastructure for different types of torrent content. Its key feature is its flexibility and adaptability to various content types without requiring significant code changes.
AI Summary: Standardize error message styling across a React project and a Chrome extension. This involves updating specified files to use consistent Tailwind CSS classes (`text-red-500 text-sm mt-2`) for all error messages, ensuring no functional changes or new CSS classes are introduced. The Chrome extension's styling needs to be checked and updated to match, if possible using Tailwind classes.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Update the basic information in the project configuration files. This involves changing the HTML language setting in `src/app/layout.tsx`, adding a project description to `package.json`, and translating the extension description in `chrome-extension/manifest.json` to Japanese. Only these three files should be modified, and no new dependencies should be added.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task involves updating several Python scripts used for training Low-Rank Adaptation (LoRA) models for Stable Diffusion. The updates include adding a `--lora_alpha` argument for controlling LoRA alpha and improving metadata handling for saved LoRAs. Contributors choose one script from a provided list to modify.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
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Diffusers provides a library of state-of-the-art diffusion models for generating images, videos, and audio. It solves the problem of easily accessing and utilizing these powerful models by offering pre-trained models and a user-friendly PyTorch and Flax implementation. Key features include support for various media types and a focus on ease of use and accessibility.
AI Summary: Implement a new `iox2 config explain` command that outputs the same information as the `config/README.md` file. Additionally, create a CI check to ensure the command's output remains consistent with the README file.
Eclipse iceoryx2™ - true zero-copy inter-process-communication in pure Rust
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iceoryx2 is a Rust library providing true zero-copy inter-process communication (IPC), eliminating data duplication and improving performance. It solves the problem of inefficient data transfer between processes by enabling direct memory sharing, resulting in faster and more efficient applications.
AI Summary: Create a working prototype using Gemini. The project lacks details, but the issue clearly states the need to build a functional prototype leveraging the Gemini technology.
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The `folder-watcher` project addresses the need for automated responses to changes within a specified directory. Its key feature is real-time monitoring of file and folder modifications, enabling custom actions to be triggered upon events like file creation, deletion, or modification.
AI Summary: Automate the update of the README.md file in the `gh-pages` branch of the OpenBao Helm chart repository to ensure consistency between the GitHub repository and the project website. This involves integrating a CI/CD process to automatically deploy README changes to the `gh-pages` branch upon new releases.
Helm chart to install OpenBao and other associated components.
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openbao-helm simplifies the deployment of OpenBao and related components by providing a Helm chart. This solves the challenge of manually configuring and installing these components, offering a streamlined and reproducible deployment process.
AI Summary: Refactor existing read-only utilities in an Atlassian MCP server (for Confluence and Jira) to conform to the Model Context Protocol (MCP) TypeScript SDK resource interface. This involves wrapping these utilities within MCP Resource structures, defining parameter schemas, and ensuring compatibility with other MCP-based systems. The goal is to make the server's functionality accessible through the MCP standard, while keeping write operations as separate tools.
MCP server for Atlassian tools (Confluence, Jira)
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atlassian-mcp is a server designed to manage and control Atlassian tools like Confluence and Jira. It addresses the need for centralized administration and potentially enhanced security or performance for these platforms.
AI Summary: The task involves refactoring the iceoryx2 configuration management. This includes removing the static `iceoryx2.toml` configuration file and updating the `config/README.md` to instruct users on generating a configuration file using the provided `iox2 config generate` command. This aims to simplify configuration management and reduce redundancy.
Eclipse iceoryx2™ - true zero-copy inter-process-communication in pure Rust
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iceoryx2 is a Rust library providing true zero-copy inter-process communication (IPC), eliminating data duplication and improving performance. It solves the problem of inefficient data transfer between processes by enabling direct memory sharing, resulting in faster and more efficient applications.
AI Summary: The task involves updating the default configuration of a Kubernetes monitoring Helm chart to include new profiling rules. These rules will extract the `service_name` and `namespace` from Kubernetes pod annotations and add them as labels for improved monitoring and tracing within Grafana. This requires modifying the `extraDiscoveryRules` section within the `profiling` configuration to include two new regular expression-based rules.
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The k8s-monitoring-helm project addresses the challenge of effectively monitoring Kubernetes clusters by providing a Helm chart for easy deployment of monitoring tools. This simplifies the setup and management of a robust monitoring solution, enabling efficient observation of cluster health and resource utilization.
AI Summary: Implement a post-release verification step in the Helm chart release workflow. This involves adding a script that repeatedly checks the Helm repository to confirm the new version is successfully published within a 1-5 minute timeframe. The script should handle potential transient network issues and report success or failure.
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The k8s-monitoring-helm project addresses the challenge of effectively monitoring Kubernetes clusters by providing a Helm chart for easy deployment of monitoring tools. This simplifies the setup and management of a robust monitoring solution, enabling efficient observation of cluster health and resource utilization.
AI Summary: The user is experiencing issues with their Anycubic Kobra 3 3D printer after updating to the 2.4.0 stock firmware and Rinkhals custom firmware. The primary problems are a recurring "10129 Y-axis vibration compensation abnormal" error and unexpected reboots due to "power interruption detected." The task involves troubleshooting these issues, potentially including downgrading the stock firmware and investigating hardware problems with the Y-axis accelerometer.
Custom firmware for the Anycubic Kobra series of 3D printers (Kobra 2 Pro, Kobra 3, Kobra 3 V2, Kobra S1 and Kobra 3 Max)
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Rinkhals is custom firmware designed to enhance the Anycubic Kobra series 3D printers. It addresses limitations of the stock firmware by offering improved features and performance, resulting in a more reliable and user-friendly printing experience.
AI Summary: The user is experiencing an "Invalid BOOTLOADER" error when attempting to flash QMK firmware onto an RP2040-based keyboard (helix/rev3_5rows) using qmk tool. The issue likely stems from an incompatibility between the selected bootloader and the RP2040 microcontroller. The task involves troubleshooting this error, potentially by identifying the correct bootloader for the RP2040, adjusting the QMK configuration, or resolving underlying system issues indicated by `qmk doctor` (missing udev rules).
Open-source keyboard firmware for Atmel AVR and Arm USB families
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qmk_firmware is an open-source keyboard firmware that allows users to customize their keyboard layouts and functionality. It supports Atmel AVR and Arm USB microcontroller families, offering flexibility and extensive community support for building and configuring custom keyboards.
AI Summary: Update the nettleie tariff data for Vevig AS to reflect the new tariff effective from 2025-07-01, using the provided link to the updated tariff information on their website. The update should follow the established YAML format and be submitted as a pull request.
En dugnad for å samle nettleie-tariffer i det norske kraftsystemet
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fri-nettleie is a collaborative project aiming to compile and make publicly available electricity grid tariffs in Norway. This addresses the lack of transparency in pricing and empowers consumers to make informed choices about their electricity providers.
AI Summary: Update the electricity tariff data for Rakkestad Energi AS. The issue indicates only the energy component of the tariff has changed, effective 2025-07-01. The updated tariff information needs to be manually collected from the provided link and incorporated into the existing YAML file, following the established data format and validation rules.
En dugnad for å samle nettleie-tariffer i det norske kraftsystemet
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fri-nettleie is a collaborative project aiming to compile and make publicly available electricity grid tariffs in Norway. This addresses the lack of transparency in pricing and empowers consumers to make informed choices about their electricity providers.
AI Summary: Update the nettleie tariff data for Linea AS to reflect the new rates effective 2025-07-01, as announced on their website. This involves manually collecting the updated tariff information from Linea's website and creating a pull request to update the corresponding YAML file in the `fri-nettleie` GitHub repository, ensuring the data conforms to the project's established YAML schema and cue validation rules.
En dugnad for å samle nettleie-tariffer i det norske kraftsystemet
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fri-nettleie is a collaborative project aiming to compile and make publicly available electricity grid tariffs in Norway. This addresses the lack of transparency in pricing and empowers consumers to make informed choices about their electricity providers.
AI Summary: Update the Norwegian electricity grid tariff data in the `fri-nettleie` GitHub repository to reflect a government-mandated reduction of 4.4 øre/kWh in the electricity tax, effective July 1st, 2025. This involves modifying the existing YAML files to incorporate the new tax rate and potentially updating the associated scripts and documentation.
En dugnad for å samle nettleie-tariffer i det norske kraftsystemet
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fri-nettleie is a collaborative project aiming to compile and make publicly available electricity grid tariffs in Norway. This addresses the lack of transparency in pricing and empowers consumers to make informed choices about their electricity providers.
AI Summary: The task requires modifying the Python agent code to add support for the Anthropic SDK as an alternative to the Amazon Bedrock Converse API for interacting with Claude models. This involves adding configuration options to select the provider (Anthropic or Bedrock), handling Anthropic API key authentication, and ensuring backward compatibility with the existing Bedrock implementation. The changes should include updating environment variables and CLI arguments to support the new functionality.
MCP Gateway and Registry
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The mcp-gateway-registry project manages and registers MCP (Multi-Cloud Platform) gateways, providing a centralized system for discovery and management. This solves the problem of decentralized gateway administration, improving overall system visibility and control.
AI Summary: Implement a feature to allow users to select icons from a curated list within the user configuration menu. This requires multiplayer support (#24) to be completed first.
Comunity driven, opensource bike trainer app.
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4Form is a community-driven, open-source bike trainer app designed to enhance indoor cycling workouts. It addresses the lack of engaging and customizable training options by providing a platform for users to create and share personalized workout routines and track their progress.
AI Summary: Implement a REST API endpoint (`GET /api/products?name={name}&minPrice={x}&maxPrice={y}`) for retrieving a list of products based on optional name, minimum price, and maximum price filters. This requires updating the existing Node.js/Express backend, likely involving modifications to controllers, models, and routes to handle the filtering logic and database queries. The provided image in the issue suggests a UI element needing this data.
DHBW Projekt
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The WebEngineering project, a DHBW project, lacks a defined scope in the provided information. Therefore, a concise summary cannot be provided without further details about its purpose and functionality.
AI Summary: This task involves improving the Ubuntu Server documentation by linking technical terms and acronyms to a newly created glossary. Participants choose a page, identify jargon, and either link existing glossary terms using a specific syntax or report missing terms. The task is designed to be beginner-friendly and can be worked on collaboratively using the GitHub web interface.
Learn open-source software documentation skills with Canonical
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The open-documentation-academy project teaches open-source software documentation skills through a curriculum developed by Canonical. It addresses the need for high-quality documentation in the open-source community by providing practical training and resources.
AI Summary: Debug a bug in the lakeFS user interface where selecting a tag and viewing its commits results in a failure. The task involves investigating the issue, identifying the root cause (likely a problem in the UI's commit retrieval logic), and implementing a fix to correctly display the commit log for selected tags. The lakeFS version is 1.59.
lakeFS - Data version control for your data lake | Git for data
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lakeFS is a data version control system designed to address the challenges of managing and tracking changes in data lakes. It provides Git-like functionalities for data, enabling features such as branching, merging, and rollback, ensuring data lineage and reproducibility.
AI Summary: The task is to investigate and potentially fix a bug in the lakeFS UI where longer values in DuckDB tables are truncated in the display. The solution may involve adding text wrapping functionality to the UI cells, while ensuring that copy-paste functionality remains unaffected.
lakeFS - Data version control for your data lake | Git for data
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lakeFS is a data version control system designed to address the challenges of managing and tracking changes in data lakes. It provides Git-like functionalities for data, enabling features such as branching, merging, and rollback, ensuring data lineage and reproducibility.
AI Summary: The Gleam compiler encounters a panic when compiling code involving `utf8_codepoint` pattern matching to the Javascript target. The task is to debug and fix this compiler bug, providing a corrected compiler that handles this specific case without panicking. A minimal reproducible example is provided.
⭐️ A friendly language for building type-safe, scalable systems!
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Gleam is a type-safe programming language designed for building scalable systems. Its key features include a focus on developer friendliness and the ability to create robust, maintainable applications.
AI Summary: Debug and fix a bug in Super Productivity where repeated tasks lose their labels when new instances are created. The issue occurs across different versions and platforms, specifically affecting the Snap version 13.0.11. The fix requires identifying why labels aren't being copied to new task instances and implementing a solution to ensure label inheritance.
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking cap