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Showing 17685 opportunities to contribute from the last 30 days
AI Summary: Update the Minecraft datapack's crafting recipes for Trial Spawners, Keys, and Vaults to comply with the 1.21.1+ recipe format. This involves changing the recipe JSON structure to place the "result" value at the top instead of the bottom.
Adds crafting recipes for Trial Spawners, Keys and Vaults
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The Craft-Trial-Spawner-Keys project addresses the lack of readily available Trial Spawners, Keys, and Vaults by introducing crafting recipes for them. This simplifies acquisition and potentially streamlines gameplay, offering players more control over their progression.
AI Summary: Convert the provided Python 2 codebase for probabilistic plan recognition (incorporating LAMA and other dependencies) to Python 3. This involves updating syntax, addressing compatibility issues with libraries, and thorough testing to ensure functionality remains consistent.
Ramirez and Geffner's probabilistic plan recognition approach
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This project implements Ramirez and Geffner's probabilistic plan recognition approach, addressing the problem of inferring an agent's goals and plans from observed actions. Key features include a probabilistic model that handles uncertainty and incomplete observations, enabling more robust and accurate plan recognition.
AI Summary: Debug and fix a bug in the Goose AI agent where the settings menu fails to open after restarting the application. The issue occurs on an Apple M3 Pro machine using the UI interface, version 1.0.35, with only the local shell extension enabled and the deepseek-chat provider/model. The task involves reproducing the bug, identifying the root cause, and implementing a fix.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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Goose is an open-source AI agent designed to enhance the workflow of interacting with LLMs. It extends beyond simple code suggestions by enabling users to install, execute, edit, and test code directly within the agent's environment, streamlining the entire development process.
AI Summary: The issue is a bug report with minimal information. The reporter needs to provide more details about the bug, including reproduction steps, OpenHands version, model name, operating system, logs, errors, screenshots, or any other relevant context to help debug the problem. The current description is simply 'test'.
🙌 OpenHands: Code Less, Make More
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OpenHands aims to simplify software development by reducing the amount of code required. Its key features focus on streamlining common tasks and providing intuitive tools to accelerate the development process, allowing developers to achieve more with less effort.
AI Summary: Implement the UI for a community homepage, including routing to a perfume recommendation section and a perfume stories section. Follow the specified Git branching strategy (feature branch, PR to develop, then merge to main), commit conventions, and naming conventions.
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This project, FE (further details needed from provided context), lacks a clear description and README. Therefore, a concise summary of its problem-solving capabilities and key features cannot be provided.
AI Summary: The user is encountering an API key issue while setting up the NotebookLlaMa application. Despite setting environment variables for API keys (OPENAI_API_KEY, LLAMACLOUD_API_KEY, ELEVENLABS_API_KEY), the `create_llama_extract_agent.py` script throws a 'ValueError: The API key is required.' error. Subsequent attempts to run `create_llama_cloud_index.py` also fail with authentication errors. The task involves troubleshooting the API key configuration, verifying the keys' validity and functionality, and ensuring correct environment variable usage within the Python scripts.
A fully open-source, LlamaCloud-backed alternative to NotebookLM
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NotebookLlama is an open-source alternative to NotebookLM, leveraging LlamaCloud for its functionality. It provides a similar notebook experience but with the benefits of open-source development and community contribution.
AI Summary: The task is to fix irregular spacing and gaps in the blog post "Comparing Meshery Models and Meshery Designs" on layer5.io. This involves inspecting the blog's HTML/CSS, identifying the source of the spacing issues, and correcting them to improve readability. The solution likely requires familiarity with web development and potentially Gatsby, React, or similar technologies used in the Layer5 website.
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: Optimize the data reporting interface for the metrics service in the BlueKing Continuous Integration Platform (bk-ci). This involves improving the efficiency and potentially the functionality of how the platform reports performance data.
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 user registration API endpoint (/api/auth/register) for a personal finance tracker. This includes creating the endpoint, adding input validation (email format, password strength, duplicate checks), password hashing, and returning appropriate JSON responses. Unit tests are also required.
A personal finance tracker to monitor and regulate your spending habits
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Ptracker is a personal finance tracker designed to help users monitor and control their spending. Key features include tracking income and expenses, allowing users to better understand their financial habits and make informed decisions.
AI Summary: Enhance the project's VS Code editor support by adding a YAML extension recommendation, automating JSON schema generation from YML files, and configuring VS Code to use these schemas for improved content editing.
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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: Create a User model with id, username, email, password_hash, and created_at fields using SQLAlchemy. Set up database configuration, generate migration scripts, implement password hashing, and test basic CRUD operations on the User model. This involves database setup, model creation, and security implementation.
A personal finance tracker to monitor and regulate your spending habits
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Ptracker is a personal finance tracker designed to help users monitor and control their spending. Key features include tracking income and expenses, allowing users to better understand their financial habits and make informed decisions.
A web user interface for EvOps 💅
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evops-website provides a user-friendly web interface for interacting with EvOps, simplifying complex operations and making them more accessible. Key features include streamlined management and visualization of EvOps processes, enhancing efficiency and user experience.
AI Summary: Set up the initial project environment for a Flask-based personal finance tracker application. This includes creating a Git repository, setting up a virtual environment, configuring environment variables, establishing a basic Flask application structure, configuring database connection using SQLAlchemy, and implementing a basic health check API endpoint.
A personal finance tracker to monitor and regulate your spending habits
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Ptracker is a personal finance tracker designed to help users monitor and control their spending. Key features include tracking income and expenses, allowing users to better understand their financial habits and make informed decisions.
AI Summary: Create a documentation entry showcasing Refact's AGENT mode by describing a bug fix, providing a screenshot of the AI-suggested solution, and explaining the workflow's importance. The entry should follow provided guidelines.
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
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Refact is an AI agent designed to automate end-to-end engineering tasks. It integrates with developer tools, autonomously plans and executes work, and iteratively refines its approach until the task is successfully completed.
AI Summary: The task involves developing a safety monitoring robot system using two TurtleBots, ROS2, and various sensors within a 5-day timeframe. This includes implementing object detection (humans, PPE), SLAM, path planning, role assignment (explorer, responder), and a robust warning system. A detailed 5-day schedule with specific tasks, success criteria, risk mitigation strategies, and performance metrics is provided. The project requires collaboration among team members with clearly defined roles and responsibilities, utilizing Git and GitHub for version control and code review.
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Insufficient information is provided to summarize project ROKEY_D_1. The description and README are both undefined, preventing a meaningful summary of its problem or features.
AI Summary: The task involves debugging a frontend API call that's sending a POST request to the wrong endpoint for initiating document generation. The solution requires correcting the endpoint URL in the `generateDocuments()` function within `src/lib/api.ts`, ensuring the `project_id` is correctly included in the URL path, and adjusting the request body to match the expected `PipelineConfig` schema. This will fix the 404 error and enable proper document generation.
Idea to Software Documents
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DocForge streamlines the process of transforming ideas into software documentation. It offers key features to efficiently create and manage documentation throughout the software development lifecycle, solving the common problem of outdated or missing documentation.
AI Summary: Benchmark the performance of the Rust-based IEEE 802.15.4 implementation, `dot15d4`, against other established implementations like Zephyr, RIoT, Contiki, and proprietary stacks. This involves measuring size and runtime performance, identifying performance bottlenecks related to `dot15d4`'s asynchronous and state machine design, and proposing optimizations. The benchmark should ideally be automated for CI integration.
Implementation of the IEEE802.15.4 standard in Rust.
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dot15d4 is a Rust implementation of the IEEE 802.15.4 standard, addressing the need for a robust and reliable low-power wireless communication library in Rust. Key features include support for various 802.15.4 physical layers and a flexible, modular design.
AI Summary: The task is to fix a UI bug in Apache Airflow where dropdown menus in trigger forms are truncated when options are long and there's insufficient space below the menu. The solution involves adjusting the UI layout to accommodate longer dropdown menu options, preventing them from being cut off.
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: Update the README.md file for the Astro blog starter kit to include detailed installation steps with prerequisites and dependencies, and a section on contribution guidelines that covers code of conduct, forking, branching, pull request submission, and expectations for polite, constructive PRs with descriptive titles and change explanations. The updated README should be well-styled and easy to understand.
RAID-blogs
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The project 'blogs-raid' aims to address the problem of undefined (likely data loss or corruption) within a blogging system. Its key features are currently undefined due to missing information in the provided context.
AI Summary: Implement the Portfolio and Asset entities in a Spring Boot investment management application. This involves creating database entities with a one-to-one relationship between User and Portfolio, and a one-to-many relationship between Portfolio and Asset. Repositories, services, and REST endpoints for managing portfolios and assets are also required. The Asset entity should support various asset types (stocks, FIIs, crypto, etc.) in an extensible way.
Um projeto em Spring Boot para gerenciar investimentos
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Invest-Manager is a Spring Boot application designed to manage investments. It provides a streamlined solution for tracking and organizing various investment portfolios, simplifying the process of monitoring financial assets.
AI Summary: Debug and fix a broken build process and bootloader in a 32-bit x86 operating system kernel written in Assembly and C. The issue involves Makefile errors, a non-functional bootloader, and potential problems with the VBR section. The task requires analyzing build logs, debugging Assembly and C code, and potentially modifying the Makefile to correctly build and link the bootloader and kernel.
ViOS — A handcrafted 32-bit multithreaded x86 OS kernel built in Assembly and C, designed as a learning platform and tribute to low-level hacker culture.
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ViOS is a 32-bit x86 operating system kernel developed in Assembly and C, addressing the need for a hands-on learning platform for low-level operating system development. Its multithreaded architecture and focus on x86 assembly provide a deep dive into OS fundamentals, serving as both an educational tool and a homage to the history of operating system design.
AI Summary: The task is to design and implement a graphical 3D representation of each Kubernetes cluster in the KubeStellarUI's remote cluster list. This involves creating a visual component that displays alongside the existing textual cluster information, potentially incorporating additional graphical data for each cluster.
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: Integrate a Mermaid.js component into the Ghostty website to render Mermaid diagrams directly within the documentation, improving the visual quality compared to the current pre-rendered SVG approach.
Ghostty website. For the source to the Ghostty project, please see https://github.com/ghostty-org/ghostty
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Ghostty is a website project aiming to provide a user-friendly platform. While specifics are unavailable without access to the provided GitHub link, it likely offers features designed to improve user experience and interaction.
AI Summary: Implement responsive design across all pages of the TextToolsApp Angular application to improve usability on mobile devices and tablets. This involves using techniques like media queries, CSS Flexbox or Grid, and relative units to ensure consistent layout and functionality across different screen sizes.
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The text-tools-app project is currently undefined and lacks a description or README. Therefore, no specific problem it solves or key features can be identified.
AI Summary: The task involves removing support for Python 3.8 in the `timezonefinder` package due to its end-of-life. This includes updating the testing environments (tox, GitHub Actions), removing Python 3.8 from the build matrix, and adding support for newer Python versions with corresponding tests.
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: Cherry-pick the changes from PR #6525 into the appropriate Karmada release branches (1.14, 1.13, and 1.12, if necessary). This involves using the provided `hack/cherry_pick_pull.sh` script and updating the release notes for each new PR created.
Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
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Karmada solves the challenge of managing Kubernetes workloads across multiple clouds and clusters by providing a unified control plane. Key features include centralized application deployment, policy enforcement, and resource management across diverse Kubernetes environments.
AI Summary: The user is experiencing a 'Disconnected' status in the Physical AI Server WebUI when attempting to connect to their OpenManipulator-Y robot arm. The issue arises after following the provided documentation and deploying the application using Docker Compose. The task requires debugging the connection between the WebUI, the physical AI server, and the robot, likely involving network configuration, ROS topic communication, or a problem within the Dockerized environment.
ROBOTIS Physical AI Tools: Physical AI Development Interface with LeRobot and ROS 2
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The ROBOTIS Physical AI Tools project provides a development interface for creating and deploying AI-powered robotic applications. It leverages LeRobot and ROS 2 to streamline the process of integrating physical robots with AI algorithms, simplifying the development of intelligent robotic systems.
AI Summary: Implement validation in the `gh-oss-watch add` command to check if the specified GitHub repository exists before adding it to the watch list. This involves making an API call to the GitHub API to verify the repository's existence and handling potential errors (e.g., 404 Not Found).
A GitHub CLI plugin that helps open-source maintainers stay on top of repository activity across multiple projects.
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gh-oss-watch is a GitHub CLI plugin designed to streamline open-source maintenance. It addresses the challenge of managing multiple repositories by providing a centralized view of repository activity, such as issues, pull requests, and reviews, across various projects.
AI Summary: Update the logo for the TextToolsApp to improve its visual identity and branding. This involves creating a new logo that is modern, professional, and consistent across different screen sizes and themes (light/dark mode). The current logo is considered outdated and needs a refresh to better represent the application.
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The text-tools-app project is currently undefined and lacks a description or README. Therefore, no specific problem it solves or key features can be identified.
AI Summary: Implement a Kotlin function that checks if a given number is even and add it to the provided project's snippets directory. Update the relevant README file to reflect the addition.
Collection of practical, idiomatic Kotlin code, including utilities, real-world code snippets, algorithms, and design patterns. Easy to use, easy to contribute 💜
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The kotlin-code-collection project provides a readily accessible library of practical Kotlin code examples, addressing the need for reusable and idiomatic solutions. It features utilities, algorithms, design patterns, and real-world snippets, simplifying development and promoting best practices.
AI Summary: Create an 'examples' folder containing Python scripts demonstrating the usage of the timezonefinder package, based on examples from the documentation. These scripts should then be imported and tested to ensure they run without errors.
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: Add logging messages to the `launchBrowser` function in the QuickPDF Node.js package to confirm when the browser (Firefox or Chrome) has successfully launched and is ready for use. This involves adding console logs indicating successful launch and potentially handling any errors during the launch process.
Handling PDFs in NodeJS (📃 to 🖼️)
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quickpdf is a Node.js library designed to simplify PDF manipulation. It addresses the challenge of easily converting PDFs to images and other formats, providing a streamlined solution for developers working with PDF documents in Node.js applications.
AI Summary: Modify the OpenTelemetry Collector's spell-checking workflow (spell-check.yaml) to include spellchecking of release notes located in the hidden .changelog directory. This requires understanding the current workflow and potentially adjusting file inclusion patterns or using alternative methods to access the hidden directory.
OpenTelemetry Collector
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The OpenTelemetry Collector is a vendor-neutral agent that receives, processes, and exports telemetry data. It solves the problem of collecting and routing metrics, traces, and logs from various sources, enabling efficient observability across diverse systems and applications.
AI Summary: Investigate why a GitHub Actions workflow job ([test / test (job 1)]) failed after the merge of PR #66126, focusing on the `LHNItemsPresence` and `SidebarLinksData` aspects. The failure occurred in the 'Process new code merged to main' workflow and resulted in exit code 1. Debugging will involve analyzing the workflow logs and potentially the PR code changes to identify and fix the root cause.
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: Develop a tool that monitors the Housing2Serve website for new housing listings, sends notifications upon detection, and facilitates automated redirection to the listing and reservation pages. The tool should handle the unique calendar interaction where only one date is selectable.
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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, no summary can be provided.
AI Summary: The task is to resolve a naming conflict in a Laravel/GraphQL project. The `docker-compose.yml` file uses the service name "backend" while the directory is named "server", causing confusion in the README's instructions. The solution involves either renaming the directory to match the service name or updating the README to clearly explain the naming discrepancy.
Simple memo application built with Laravel and GraphQL (Lighthouse). This project serves as a starting point for experimenting with GraphQL APIs in Laravel, including basic CRUD operations for memos.
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This Laravel-GraphQL application provides a simple memo management system, demonstrating basic CRUD operations via a GraphQL API. It serves as a practical example for developers learning to integrate GraphQL (using Lighthouse) with Laravel.
AI Summary: Investigate and debug a Nuxt 3.17.7 router issue where `scrollBehaviorType: 'smooth'` unexpectedly causes smooth scrolling to the top of the page even when navigating between pages with non-hash links. The issue appears to be related to recent changes in Nuxt's router implementation. The task involves analyzing provided reproduction code (StackBlitz link), comparing behavior with Nuxt 3.17.6, and potentially identifying and proposing a fix or workaround.
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: Improve the README for a Laravel/GraphQL/React TODO app by clarifying the .env file initialization process. This involves adding more detailed instructions on copying the .env.example file, specifying which variables need to be adjusted (DB_HOST, DB_DATABASE, DB_USERNAME, DB_PASSWORD), and providing example values consistent with the docker-compose.yml file. The goal is to make the setup process easier for new users.
Simple memo application built with Laravel and GraphQL (Lighthouse). This project serves as a starting point for experimenting with GraphQL APIs in Laravel, including basic CRUD operations for memos.
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This Laravel-GraphQL application provides a simple memo management system, demonstrating basic CRUD operations via a GraphQL API. It serves as a practical example for developers learning to integrate GraphQL (using Lighthouse) with Laravel.
AI Summary: Update the project's README to include instructions on resolving MySQL port conflicts. This involves adding steps to either temporarily stop the host's MySQL service or modify the Docker Compose file to use a different port for the Dockerized MySQL instance. Example instructions for port modification in `docker-compose.yml` should be provided.
Simple memo application built with Laravel and GraphQL (Lighthouse). This project serves as a starting point for experimenting with GraphQL APIs in Laravel, including basic CRUD operations for memos.
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This Laravel-GraphQL application provides a simple memo management system, demonstrating basic CRUD operations via a GraphQL API. It serves as a practical example for developers learning to integrate GraphQL (using Lighthouse) with Laravel.
AI Summary: Update the project's README to clearly explain how to change the React API connection URL (REACT_APP_API_URL) for different environments (Docker, local development, production). This involves adding instructions on using a .env file or modifying package.json scripts to set the correct URL.
Simple memo application built with Laravel and GraphQL (Lighthouse). This project serves as a starting point for experimenting with GraphQL APIs in Laravel, including basic CRUD operations for memos.
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This Laravel-GraphQL application provides a simple memo management system, demonstrating basic CRUD operations via a GraphQL API. It serves as a practical example for developers learning to integrate GraphQL (using Lighthouse) with Laravel.
AI Summary: Update the project's README file to include the necessary post-installation steps for Laravel, specifically adding instructions to run `php artisan key:generate` and optionally `php artisan config:cache` after running `composer install`. This addresses an issue where the application key is not generated, leading to errors during setup.
Simple memo application built with Laravel and GraphQL (Lighthouse). This project serves as a starting point for experimenting with GraphQL APIs in Laravel, including basic CRUD operations for memos.
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This Laravel-GraphQL application provides a simple memo management system, demonstrating basic CRUD operations via a GraphQL API. It serves as a practical example for developers learning to integrate GraphQL (using Lighthouse) with Laravel.
AI Summary: The task is to analyze a provided project description and a GitHub issue proposing a new cognitive theory ('Cognitive Type Sequence Theory'). The goal is to summarize the project and issue, explain what is required (which is essentially understanding and summarizing the project and the proposed theory), and rate the task's fun and complexity.
PromptX · AI应用原生专业能力增强系统 通过MCP协议为AI应用提供专业角色、记忆管理和知识体系,一行命令,让任何 AI 客户端秒变专业选手。
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PromptX is an AI application enhancement system that uses the MCP protocol to provide professional roles, memory management, and knowledge bases. It empowers any AI client to become a professional in its field with a single command, solving the problem of limited AI capabilities and context.
AI Summary: Improve Kubebuilder's unit test coverage by adding more unit tests and implementing a CI check to enforce minimum coverage thresholds. This involves writing new tests to cover currently untested code paths and potentially refactoring existing code for better testability.
Kubebuilder - SDK for building Kubernetes APIs using CRDs
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Kubebuilder is an SDK that simplifies the creation of Kubernetes APIs using Custom Resource Definitions (CRDs). It streamlines the development process by providing tools and scaffolding for generating the necessary code, reducing boilerplate and improving developer productivity.
AI Summary: Investigate the accuracy of the SeeSo Android eye-tracking SDK on tablets with high resolutions (e.g., 2800x1840 pixels). Determine if the existing SDK supports this resolution and accuracy level, or if adjustments or alternative solutions are needed. This involves testing the SDK on a tablet with the specified resolution and potentially reviewing the SDK documentation for tablet-specific settings or limitations.
SeeSo(Eye-Tracking SDK) sample for Android
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The seeso-sample-android project provides a sample Android application demonstrating the integration and usage of the SeeSo eye-tracking SDK. It showcases how developers can leverage SeeSo's capabilities to build eye-tracking features into their Android applications.
AI Summary: Investigate why the "Empty Positions" search in the Arctos Object Tracking system for OGL21 is not returning expected results. The user is reporting a discrepancy between the results of the "Empty Positions" search and a direct "Positions" search, both for freezer racks in OGL21. The task involves analyzing the system's search functionality and potentially identifying a bug or data inconsistency.
Arctos is a museum collections management system
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Arctos is a museum collections management system designed to streamline the organization and access of museum artifacts. Key features include cataloging, data management, and improved accessibility for researchers and the public.
AI Summary: Modify the distance calculation feature of a web mapping application to allow only one active point (either A or B) at a time. Setting a new point should automatically clear the previously selected point. This improves user experience by preventing conflicting distance calculations.
This is a professional web-based mapping application that allows users to visualize locations, find their current position, search for places, and calculate distances between points. The application provides both straight-line distance calculations and actual road distance routing with estimated travel times.
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IDT-TRAE is a web-based mapping application solving the need for easy location visualization, search, and distance calculation. Key features include real-time location tracking, place search, and both straight-line and road-distance routing with travel time estimations.
AI Summary: Implement a print-friendly version of LeafWiki pages by creating a dedicated print stylesheet that hides the header and sidebar, and adding a 'Print' button to trigger the browser's print dialog. This will allow users to easily generate PDF versions of individual wiki pages using their browser's built-in functionality.
A lightweight, tree-based Markdown wiki – no database, just a single Go binary.
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Leafwiki is a simple, self-contained Markdown wiki implemented in Go that eliminates the need for a database. It uses a tree-like structure for organization and requires only a single binary for deployment, making it lightweight and easy to set up.
AI Summary: Implement dynamic configuration of the `proxy_protocol_authorized_addrs` setting in OpenBao, allowing for runtime updates via SIGHUP reload instead of requiring restarts. This involves modifying the configuration handling to accept and apply changes to this specific setting during a reload, potentially involving changes to the configuration parsing and application logic within the OpenBao server.
OpenBao exists to provide a software solution to manage, store, and distribute sensitive data including secrets, certificates, and keys.
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OpenBao solves the problem of securely managing and distributing sensitive data like secrets, certificates, and keys. It offers a software solution for centralized storage and controlled access to this critical information.
AI Summary: The task involves modifying the L-functions and modular forms database (LMFDB) website to link the component group name on Sato-Tate group pages to the corresponding abstract group knowledge page. This requires using the existing `abstract_group_display_knowl` function to create hyperlinks from the group name (e.g., "C_2 x A_4") to the relevant abstract group knowledge page, based on data in the `gps_st` table.
L-Functions and Modular Forms Database
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The LMFDB (L-functions and Modular Forms Database) is a comprehensive online resource addressing the need for a centralized, easily accessible repository of data related to L-functions and modular forms. It provides extensive computational data, visualizations, and tools for researchers in number theory and related fields.
AI Summary: Refactor existing Playwright end-to-end tests for Meshery's UI to use the Page Object Model (POM) design pattern. This involves creating a new directory to hold page object classes that encapsulate UI locators and interactions, improving test maintainability and reducing tight coupling to UI details. The initial task focuses on migrating the extension spec test.
Meshery, the cloud native manager
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Meshery is a cloud native manager that simplifies the complexities of service mesh deployments and operations. It provides a single pane of glass for managing multiple service meshes, offering features like visualization, performance analysis, and automated configuration.
AI Summary: The task involves refactoring existing Playwright end-to-end (E2E) tests for the Meshery UI to use the Page Object Model (POM) design pattern. This will improve the maintainability and readability of the tests by separating UI interactions from test logic. The initial step is to create a page object for the 'models' spec test, moving inline selectors and interactions into a dedicated class.
Meshery, the cloud native manager
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Meshery is a cloud native manager that simplifies the complexities of service mesh deployments and operations. It provides a single pane of glass for managing multiple service meshes, offering features like visualization, performance analysis, and automated configuration.
AI Summary: Design and implement a new home page for a blog built using the Astro framework. The design should align with the aesthetic of the RAID (Research and Innovation in Data) website at IITJ. This involves styling the existing Astro blog's home page to match the RAID website's visual style and branding.
RAID-blogs
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The project 'blogs-raid' aims to address the problem of undefined (likely data loss or corruption) within a blogging system. Its key features are currently undefined due to missing information in the provided context.
AI Summary: The task is to design and implement a Python script that conducts an automated bias audit of Google's Gemini Flash large language model (LLM). The audit will involve sending pairs of prompts to the LLM: one clean and one with randomly introduced typos. The script will then analyze the LLM's responses to these prompts, measuring differences in response length, sentiment, refusal rate, and latency to detect potential bias related to typographical errors. The audit must adhere to ethical and legal guidelines, using only synthetic data and respecting rate limits.
A Blueprint for Systematic Systematic Discrimination Detection
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The 'watching_u_watching' project aims to address the problem of systematic discrimination by providing a blueprint for its detection. This blueprint focuses on systematic approaches to identify and analyze discriminatory patterns within datasets, enabling proactive mitigation strategies.
AI Summary: Debug a bug in the terminal music player 'kew' where pressing Enter on the MUSIC LIBRARY only plays a single song instead of the expected behavior (likely adding the song to the playlist or playing multiple selected songs). This involves analyzing the code, identifying the source of the error, and implementing a fix.
A terminal music player.
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Kew is a terminal-based music player designed for users who prefer a command-line interface. It provides a simple and efficient way to play music files directly from the terminal, eliminating the need for a graphical user interface.
AI Summary: Add a new aggregated status field (`AggregatedPluginStatus`) to the Plugin resource in the Greenhouse project. This field should summarize the status of all plugins deployed via a PluginPreset, including a count of failed plugins. This will improve the user experience by providing a quick overview of plugin health within a preset.
Cloud operations platform
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Greenhouse is a cloud operations platform designed to streamline and simplify the management of cloud infrastructure. It addresses the complexities of cloud operations by providing a centralized platform for managing resources, automating tasks, and improving overall efficiency.
AI Summary: Implement file type validation and separate feedback containers for PDF and video compression within the FormEase Chrome extension. This involves checking file types in `compressPDF.js` and `compressVideo.js`, displaying appropriate warnings for unsupported files, and updating feedback functions to use separate containers (.formease-feedback-pdf and .formease-feedback-video) with specific messages indicating success, errors, or progress for each file type.
FormEase is a privacy-first Chrome Extension that seamlessly integrates advanced in-browser image and video processing into any file upload workflow, eliminating external dependencies and enhancing user control.
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FormEase is a Chrome extension that simplifies file uploads by directly processing images and videos within the browser, eliminating the need for external tools. This privacy-focused solution enhances user control over their data and streamlines online form submissions.
AI Summary: Implement a paginated transaction listing function (`transaction_list`) in the Cairo smart contract's `AccountData` component. This involves adding the function, handling pagination parameters (`start`, `limit`), validating input to prevent out-of-bounds errors, and writing comprehensive unit tests.
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.
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The provided project description for '12-test' is insufficient to determine its purpose or key features. The README contains only seemingly unrelated text and lacks information about the project's functionality or problem it solves.
AI Summary: Implement user functionality in the Team K backend, specifically adding refresh and access tokens to the JWT authentication system. This involves completing unspecified tasks related to token generation, handling, and potentially database integration.
Team K backend Repo입니다!
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The `team_k_backend` project is a backend repository for Team K, providing the server-side logic and infrastructure for their application. It solves the problem of managing and processing data for the Team K application, offering key features yet to be specified in the provided context.
AI Summary: The task involves enhancing the Enatega admin dashboard's Store Profile view by dynamically adding relevant icons next to data fields (e.g., a dollar sign for monetary values). This requires implementing a system to automatically assign icons based on data type, improving readability and UI consistency. The frontend is open-source, but the backend is proprietary.
Food delivery app project using java is a fully customizable food delivery application and is an all-in-one solution for managing orders and deliveries. Check out our product page for more information.
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The food-delivery-app-project-using-java solves the need for a customizable food delivery application by providing a comprehensive solution for managing orders and deliveries. Key features include order management and delivery tracking, offering a complete system for restaurants and delivery services.
AI Summary: Implement a dynamic icon system for the Enatega Admin Dashboard's Store Profile view. This involves automatically assigning relevant icons (e.g., dollar sign for currency, phone/email icons for contact details) based on data type to improve readability and UI consistency. The solution should be scalable and adaptable to future updates.
Uber eats app clone using react native is a fully customizable food delivery application, an all-in-one solution for managing orders and deliveries. Check out our product page for more information.
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This project is a React Native clone of the Uber Eats app, providing a customizable solution for managing food delivery orders. Key features include order management and delivery tracking, offering a complete platform for food delivery services.
AI Summary: Remove the outdated reference to "formerly Google Refine" from the OpenRefine for Social Sciences Data Carpentry lesson's setup instructions. This involves editing the relevant Markdown file in the lesson's `episodes` directory and submitting a pull request via GitHub.
OpenRefine for Social Science Data
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openrefine-socialsci enhances OpenRefine for social science data cleaning and preparation. It addresses the challenges of working with messy social science datasets by providing specialized functionalities and improved data handling capabilities.
AI Summary: Update the `USAGE.md` documentation file for the `pip-licenses-cli` project to include details about the `--collect-all-failures` option, which was added in PR #44.
Dump the license list of packages installed with pip.
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pip-licenses-cli is a command-line tool that addresses the need for easily identifying the licenses of Python packages installed via pip. It simplifies license management by quickly generating a list of installed packages and their corresponding licenses.
AI Summary: Implement self-observability metrics (inflight, exported, operation duration) for the stdoutlog exporter in the OpenTelemetry Go Logs SDK. This requires setting an environment variable to enable the feature, using the global `MeterProvider`, and documenting the new functionality in GoDoc. Existing SDK metric prototypes can be used as a reference.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Refactor and maintain the data model for the Airank project. This involves restructuring the score and model organization to be more compact and transitioning from manually modifying runtime data to using documentation and generators. The goal is to achieve equivalence with commit 269a7a1b78f4c389966cf472c01140f1f942d77a before completing issue #59.
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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: Implement self-observability metrics (otel.sdk.exporter.log.inflight, otel.sdk.exporter.log.exported, otel.sdk.exporter.operation.duration) for the otlploggrpc exporter in the OpenTelemetry Go Logs SDK. This requires enabling the feature via an environment variable, using the global MeterProvider, and documenting the new functionality in GoDoc. The task involves understanding existing OpenTelemetry Go code and metric conventions.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (otel.sdk.exporter.log.inflight, otel.sdk.exporter.log.exported, otel.sdk.exporter.operation.duration) for the otlploghttp exporter in the OpenTelemetry Go Logs SDK. This requires enabling the feature via an environment variable, using the global MeterProvider, and documenting the new functionality in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement real-time JSON syntax highlighting and validation within the Dyan API builder's input/output panel using a JSON validator library. This will improve the user experience by providing immediate feedback on JSON syntax errors, rather than just displaying error icons.
🛠️ Visual API builder that lets you create dynamic REST APIs from a UI and generate high-performance Rust code for production.
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dyan is a visual API builder that simplifies the creation of dynamic REST APIs. It allows users to build APIs through a user-friendly interface and then generates optimized Rust code for deployment, solving the problem of complex and time-consuming API development.
AI Summary: Implement self-observability metrics (otel.sdk.processor.log.processed, otel.sdk.processor.log.queue.size, otel.sdk.processor.log.queue.capacity) for the OpenTelemetry Go Logs SDK's BatchProcessor, enabled via the OTEL_GO_X_SELF_OBSERVABILITY environment variable. This requires using the global MeterProvider and documenting the new feature in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics for the OpenTelemetry Go Logs SDK's `SimpleProcessor`, specifically the `otel.sdk.processor.log.processed` metric. This involves adding instrumentation triggered by an environment variable (`OTEL_GO_X_SELF_OBSERVABILITY`), using the global `MeterProvider`, and documenting the new feature in GoDoc, referencing existing examples for guidance.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics for the OpenTelemetry Go Logs SDK, specifically the `otel.sdk.log.created` metric. This involves enabling the feature via an environment variable, using the global `MeterProvider`, and documenting the new functionality in GoDoc. Reference implementations and semantic conventions are provided.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: The task requires determining if ThingsBoard allows dynamic widget rendering within a markdown HTML card, specifically creating 1-8 gauges based on a sensor count attribute. Each gauge would display data from different sensors (S1, S2, etc.). The solution needs to decide between leveraging existing ThingsBoard features or developing a custom widget.
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: Implement self-observability metrics (data points in-flight, exported, and operation duration) for the OpenTelemetry Go stdout metric exporter. This requires setting an environment variable to enable the feature, using the global `MeterProvider`, and documenting the new functionality in GoDoc. Existing prototypes and documentation on similar metrics are available for reference.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (specified in the OpenTelemetry semantic conventions) for the Prometheus exporter within the OpenTelemetry Go SDK. This involves adding metrics for in-flight and exported data points, operation duration, and metric reader collection duration. The feature should be enabled via an environment variable and documented in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (data points in flight, exported, and operation duration) for the OTLP gRPC metric exporter in the OpenTelemetry Go SDK. This requires setting an environment variable to enable the feature, using the global `MeterProvider`, and documenting the new functionality in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (data points in flight, exported, and operation duration) for the OTLP HTTP metric exporter in the OpenTelemetry Go SDK. This involves adding instrumentation to track these metrics, using the global `MeterProvider`, and enabling the feature via an environment variable. Finally, document the new feature in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Design and develop a professional portfolio website showcasing the developer's skills and experience. The portfolio should include sections for projects, about me, tech stack, education/experience, and contact information. Responsive design, fast loading times, and a custom domain are recommended. The project involves choosing a technology stack (e.g., React, HTML/CSS), designing the layout, and implementing the various sections.
Este es mi escaparate profesional
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This project is a professional portfolio showcasing the creator's work and skills. It serves as a digital display of accomplishments and experience, allowing for easy access and review by potential employers or clients.
AI Summary: Implement self-observability metrics for the OpenTelemetry Go SDK's `PeriodicReader`, specifically the `otel.sdk.metric_reader.collection.duration` metric. This involves adding instrumentation triggered by an environment variable (`OTEL_GO_X_SELF_OBSERVABILITY`), using the global `MeterProvider`, and documenting the new feature in GoDoc. Reference implementations and semantic conventions are provided.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics for the OpenTelemetry Go SDK's `ManualReader`, specifically the `otel.sdk.metric_reader.collection.duration` metric. This involves adding instrumentation triggered by an environment variable (`OTEL_GO_X_SELF_OBSERVABILITY`), using the global `MeterProvider`, and documenting the new feature in GoDoc. Reference implementations and semantic conventions are provided.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement a dynamic icon system in a React Native admin dashboard's store profile view. The system should automatically display relevant icons (e.g., dollar sign for currency, phone/email icons for contact details) next to data fields based on data type, improving readability and scalability.
React native food delivery app is a fully realized and customizable food delivery application that is an all-in-one solution for managing orders and deliveries. Check out our product page for more information.
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The react-native-food-delivery-app is a complete, customizable solution for managing food delivery orders. It provides a single platform for handling all aspects of the delivery process, from order placement to delivery tracking.
AI Summary: Fix a bug in a React application that causes duplicate user data in a Firebase Realtime Database upon signup. The task involves modifying the signup logic to check for existing users with the same Firebase UID. If a user exists, update their data; otherwise, create a new record. This requires familiarity with React, Firebase Authentication, and Firebase Realtime Database.
FlatMate is a society maintenance management app to streamline tasks like online payments, resident records, announcements, and expense tracking. Built with React, Node.js, and MongoDB, it empowers gated communities with simple, secure, and transparent management.
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FlatMate is a society maintenance management app solving the problem of inefficient communication and payment processes in gated communities. Key features include online payments, resident record management, announcement broadcasting, and expense tracking, all built using React, Node.js, and MongoDB for a secure and transparent experience.
AI Summary: Create a Dockerfile to package the existing Streamlit UI application for Runelog. The Dockerfile should build successfully and the resulting image should run successfully, mounting the `.mlruns` and `.registry` directories as volumes to persist experiment and model data.
A simple, file-based Python library for tracking machine learning experiments.
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Runelog is a lightweight Python library that simplifies tracking machine learning experiments by using simple, file-based storage. It addresses the need for easy and organized experiment logging without the complexity of database-based solutions, focusing on core experiment metadata.
AI Summary: Implement self-observability metrics (otel.sdk.exporter.span.inflight, otel.sdk.exporter.span.exported, otel.sdk.exporter.operation.duration) for the stdouttrace exporter in the OpenTelemetry Go SDK. This requires enabling the feature via an environment variable, using the global MeterProvider, and documenting the new functionality in GoDoc. The task involves understanding existing OpenTelemetry conventions and Go SDK internals.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (spans in-flight, exported, and operation duration) for the OpenTelemetry Go OTLP gRPC trace exporter. This involves using the global `MeterProvider` and setting the `OTEL_GO_X_SELF_OBSERVABILITY` environment variable. Finally, document the new feature in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (spans in-flight, exported, and operation duration) for the otlptracehttp exporter in the OpenTelemetry Go SDK. This involves using the global `MeterProvider` and setting the `OTEL_GO_X_SELF_OBSERVABILITY` environment variable. Finally, document the new feature in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (otel.sdk.processor.span.processed, otel.sdk.processor.span.queue.size, otel.sdk.processor.span.queue.capacity) for the OpenTelemetry Go SDK's BatchProcessor, enabled via the OTEL_GO_X_SELF_OBSERVABILITY environment variable. This requires using the global MeterProvider and documenting the new feature in GoDoc.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics for the `go.opentelemetry.io/otel/sdk/trace#NewSimpleSpanProcessor`, specifically the `otel.sdk.processor.span.processed` metric. This involves adding metric instrumentation triggered by an environment variable (`OTEL_GO_X_SELF_OBSERVABILITY`), using the global `MeterProvider`, and documenting the feature in GoDoc. Reference implementations and semantic conventions are provided.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement self-observability metrics (`otel.sdk.span.live`, `otel.sdk.span.started`) for the OpenTelemetry Go trace SDK, enabled via the `OTEL_GO_X_SELF_OBSERVABILITY` environment variable. This involves using the global `MeterProvider` and documenting the feature in GoDoc, referencing existing examples and a prototype pull request.
OpenTelemetry Go API and SDK
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opentelemetry-go provides a Go API and SDK for OpenTelemetry, enabling developers to instrument their applications and collect telemetry data (traces, metrics, and logs). This allows for improved observability, facilitating easier debugging, performance monitoring, and troubleshooting of Go applications.
AI Summary: Implement user authentication features, including login and registration functionality.
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riderspool-frontend is a front-end application designed to streamline the rider pooling process. It likely features user interfaces for riders to request rides, view available pools, and track their journeys, solving the problem of inefficient and disorganized ride-sharing.
AI Summary: Complete the documentation for a lightweight machine learning experiment tracking library, including a comprehensive README with installation instructions and usage examples, at least two example scripts demonstrating different use cases, a LICENSE file, and a CHANGELOG.md file.
A simple, file-based Python library for tracking machine learning experiments.
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Runelog is a lightweight Python library that simplifies tracking machine learning experiments by using simple, file-based storage. It addresses the need for easy and organized experiment logging without the complexity of database-based solutions, focusing on core experiment metadata.
AI Summary: The task requires creating a Kubernetes end-to-end (e2e) conformance test to verify the functionality of named ports in Kubernetes Services. The test should cover scenarios with multiple pods using the same named port but different numerical ports, ensuring service reachability throughout a rolling update. This involves creating pods, services, and verifying connectivity using existing e2e testing frameworks.
Production-Grade Container Scheduling and Management
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Kubernetes solves the problem of automating deployment, scaling, and management of containerized applications. Its key features include container orchestration, self-healing capabilities, and declarative configuration for robust and scalable deployments.
AI Summary: Improve the Decimal class's equals method in Apache Gravitino's relational API to include precision checks, in addition to the existing scale check. This requires modifying the `equals` method in `Decimal.java` and adding corresponding unit tests to verify the correctness of the change.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Refactor the Runelog Python library to improve error handling by creating custom exception classes (e.g., `ModelNotFound`, `ExperimentNotFound`) for more informative error messages. This involves brainstorming appropriate exception types and implementing them throughout the codebase.
A simple, file-based Python library for tracking machine learning experiments.
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Runelog is a lightweight Python library that simplifies tracking machine learning experiments by using simple, file-based storage. It addresses the need for easy and organized experiment logging without the complexity of database-based solutions, focusing on core experiment metadata.
AI Summary: Implement robust interval arithmetic support for the `quot` and `rem` operations within the HORDE-AD automatic differentiation library. This involves researching existing methods for interval arithmetic on these operations, carefully analyzing their complexities and potential limitations (e.g., undefined behavior), and then implementing an efficient and accurate solution within the library's existing framework. The solution should handle potential edge cases and integrate seamlessly with the library's existing functionality.
Higher Order Reverse Derivatives Efficiently - Automatic Differentiation library based on the paper "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation"
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horde-ad is an automatic differentiation library that efficiently computes higher-order derivatives. It addresses the challenge of accurately and quickly calculating higher-order derivatives, crucial for various optimization and machine learning tasks, by implementing the algorithms described in the paper "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation".
AI Summary: Improve the accessibility of the WordPress Gutenberg Comments Pagination block by changing its wrapper element from a `div` to a `nav` element and adding an `aria-label="Comments pagination"` attribute for better screen reader compatibility. This involves modifying the block's HTML output to match the existing accessibility standards set by the core `the_comments_pagination()` function and the Query Pagination block.
The Block Editor project for WordPress and beyond. Plugin is available from the official repository.
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Gutenberg is a block-based editor for WordPress, replacing the classic editor. It offers a more flexible and intuitive content creation experience through reusable blocks and a customizable interface, solving the limitations of the previous text-based editor.
AI Summary: Implement inline style analysis in an existing accessibility checker web application built with React, TypeScript, and axe-core. This involves parsing inline styles from HTML, identifying accessibility issues related to color contrast, positioning, and other relevant factors, and integrating these checks into the existing reporting system. Thorough testing is required.
App for checking accessibility of HTML and React components
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The accessibility-checker app identifies accessibility issues in HTML and React components, improving the inclusivity of web applications. Key features include automated detection of common accessibility violations and providing actionable recommendations for remediation.
AI Summary: Debug a potential memory leak in the KubeStellar UI application. The issue manifests as slow system performance after prolonged runtime, suggesting a memory leak that impacts system responsiveness. The task involves reproducing the issue, analyzing logs and system resource usage, and identifying the source of the memory leak within the React/TypeScript frontend or Golang backend.
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: Modify the password reset functionality to redirect the user to the home page after successful login following password creation. This involves identifying the appropriate point in the login process (likely after a successful authentication check) and implementing a redirect to the home page URL.
Source code for Wikipedia Speedruns!
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The wikipedia-speedruns project provides the source code for a game where players compete to edit Wikipedia pages as quickly as possible. It focuses on efficient editing and strategic planning to achieve the fastest completion times, offering a unique blend of gaming and knowledge-based competition.
AI Summary: The task is to enhance the project's README file by adding clear and concise setup instructions. This includes steps for cloning the repository, installing dependencies, and launching the application locally. The existing README already contains some of this information, but it needs to be more comprehensive and explicitly include testing instructions if applicable.
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The project, next-portfolio, is a portfolio website builder. It lacks a description and README, so further details on its features and problem-solving capabilities are unavailable.
AI Summary: Update the Test Network project's README file to correct the description of Rafiki and update the 'New to Interledger' section links to match the Rafiki repository's information, ensuring all links are functional. This involves replacing outdated text and links with accurate and up-to-date content.
An open-source test application that aims to utilize Rafiki's functionalities and demonstrate its advantages in real-world scenarios.
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Testnet is an open-source project providing a test environment for Interledger integrations, solving the problem of lacking readily available test infrastructure. It features a test wallet application, an e-commerce application, and utilizes Rafiki, an Interledger API package, to demonstrate real-world Interledger functionalities.
AI Summary: Implement a pretty-printing function for Abstract Syntax Trees (ASTs) within the HORDE-AD automatic differentiation library. The function should represent AST nodes using functions like `szip`, `sunzip`, `snestS`, and `sunNestS` instead of the current `tconvert` method, improving readability. This involves modifying the existing `AstPrettyPrint.hs` file to handle these new functions, potentially requiring more complex logic than the existing `sfromK` handling.
Higher Order Reverse Derivatives Efficiently - Automatic Differentiation library based on the paper "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation"
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horde-ad is an automatic differentiation library that efficiently computes higher-order derivatives. It addresses the challenge of accurately and quickly calculating higher-order derivatives, crucial for various optimization and machine learning tasks, by implementing the algorithms described in the paper "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation".
AI Summary: Implement responsive design for the KubeStellarUI tables and form controls to ensure proper display and usability on mobile devices and smaller screens. This involves adjusting layouts and potentially using CSS media queries to adapt the UI to different screen sizes.
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: Update the broken link to the Interledger Specs in the Rafiki project's README file. The current link is incorrect and needs to be replaced with a working URL pointing to the correct Interledger specification document.
An open-source, comprehensive Interledger service for wallet providers, enabling them to provide Interledger functionality to their users.
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Rafiki is an open-source Interledger service for wallet providers, enabling them to offer Interledger payment functionality to their users. Key features include sending/receiving payments via SPSP and Open Payments, and providing third-party access to payment initiation and transaction data via APIs.
AI Summary: Update the Interledger Specs link in the project's README file from its current broken state to the correct URL: https://interledger.org/developers/get-started/. This involves modifying the README.md file and committing the change.
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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.
AI Summary: Improve the pretty-printing functionality of the HORDE-AD automatic differentiation library's AST (Abstract Syntax Tree) to enable round-tripping. This involves creating tests to verify the round-trip property (printing, then parsing the output), iteratively improving the pretty-printer to pass these tests, and fixing any broken tests along the way. The goal is to produce Haskell code from the pretty-printed AST that is both valid and preserves the original AST's sharing structure.
Higher Order Reverse Derivatives Efficiently - Automatic Differentiation library based on the paper "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation"
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horde-ad is an automatic differentiation library that efficiently computes higher-order derivatives. It addresses the challenge of accurately and quickly calculating higher-order derivatives, crucial for various optimization and machine learning tasks, by implementing the algorithms described in the paper "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation".
AI Summary: Implement a user interface toggle that allows users to switch between light and dark mode themes within the existing Next.js 14 portfolio template. This likely involves adding a button or switch element, updating the CSS or styling to handle the theme change, and potentially persisting the user's preference using local storage or cookies.
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The project, next-portfolio, is a portfolio website builder. It lacks a description and README, so further details on its features and problem-solving capabilities are unavailable.
AI Summary: Enhance JFlatDB's query engine to support additional SQL-like operators and filters, including !=, >, <, >=, <=, IN, BETWEEN, and LIKE, allowing for more complex and flexible data retrieval. This involves modifying the existing query function to handle these new operators and potentially updating the query syntax.
JFlatDB is a lightweight, JSON-based database system in Python with indexing, constraints, encryption, and CLI support.
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jflatdb is a lightweight Python database utilizing JSON for data storage. It addresses the need for a simple, yet powerful database solution by offering features like indexing, constraints, encryption, and a command-line interface.
AI Summary: The task is to debug a bug in the ImprovedTube YouTube extension where extra buttons added below the video player overlap and obscure the channel name. The bug is reported to occur on Chrome, and the user has provided their extension settings and version number. The solution requires inspecting the extension's code to identify why the button placement is incorrect and adjust the layout to prevent overlap with the channel name.
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: Replace the existing nginx-based testing proxy with a Node.js Express server to simplify the testing environment for the NEEMS EMS React frontend. The Express server should proxy `/api` requests to the specified backend (NEEMS Core) and serve static files from the `dist` directory. The primary challenge is resolving the 404 errors currently encountered when proxying requests, likely due to incorrect URL rewriting by the proxy middleware.
NEEMS EMS React Frontend
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neems-react is a React-based frontend for an Emergency Medical Services (EMS) system. It provides a user-friendly interface for managing and tracking EMS resources and patient information, improving efficiency and coordination within the EMS organization.
AI Summary: The issue describes a broken CSRF protection example in the `templ` documentation. The task is to update the example code to correctly use `csrf.TrustedOrigins` with `localhost:8000` to allow POST requests from that origin while maintaining CSRF protection for other origins. This involves modifying the `main.go` file to configure `csrf.Protect` with the appropriate trusted origin.
A language for writing HTML user interfaces in Go.
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Templ is a Go-based HTML templating language designed to improve developer experience. It offers superior tooling, including an IDE-integrated language server, and streamlines the process of creating HTML user interfaces within Go applications.
AI Summary: The task involves updating the Makefile for the Kuadrant Operator's integration tests. This requires replacing the existing `--compilers` and `--procs` flags with the `-p` flag in Ginkgo (after upgrading to v2.23.4 or later), simplifying the parallelization configuration for the tests. The change needs to be applied across multiple integration test targets, while ensuring the `test-bare-k8s-integration` target's single-process configuration is maintained.
The Operator to install and manage the lifecycle of the Kuadrant components deployments.
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kuadrant-operator simplifies the deployment and management of Kuadrant components. It automates the lifecycle of these components, streamlining the process of setting up and maintaining a Kuadrant instance.
A comprehensive cryptocurrency portfolio management and education platform that empowers users to track, learn, and make informed investment decisions in the crypto space.
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ptracker is a cryptocurrency portfolio management and educational platform designed to help users effectively track their investments and make informed decisions. It combines portfolio tracking with educational resources to empower users in the often-complex world of cryptocurrency.
Yet another attempt to make a JJ UI, this time with Elixir Phoenix and NIFs
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jjx aims to create a user-friendly JJ UI using Elixir Phoenix and NIFs for performance. It addresses the need for a more efficient and potentially improved JJ UI implementation compared to existing solutions.
AI Summary: The task involves setting up a release pipeline using workflow dispatch for the Amfiglol project, a Figma-like web inspector extension. This includes submitting the project to WXT (likely a web extension store) and performing a dry run of the submission process before the actual release.
Figma-like Web Inspector for designers
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amgiflol is a web inspector designed for designers, providing a Figma-like experience for inspecting and manipulating website elements. It offers intuitive tools for analyzing website structure and styling, streamlining the design and development workflow.
AI Summary: Implement a basic `jj undo` command in an Elixir Phoenix application using NIFs. This command should restore the last operation from an operation log.
Yet another attempt to make a JJ UI, this time with Elixir Phoenix and NIFs
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jjx aims to create a user-friendly JJ UI using Elixir Phoenix and NIFs for performance. It addresses the need for a more efficient and potentially improved JJ UI implementation compared to existing solutions.
AI Summary: Optimize the performance of the `MoneyRequestReportActionsList` and `ReportScreen` components in the Expensify mobile application by implementing memoization techniques (e.g., `useMemo`, `useCallback`) to prevent redundant calculations during rendering, particularly for reports with many transactions. This involves identifying and optimizing expensive operations such as array mapping, filtering, and derived state calculations.
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 requires locating and incorporating additional years and datasets of the Australian Public Service Employee Census into the existing 'apscensus' R package. The data source is provided, and the task involves downloading, potentially cleaning, and integrating the new data to enhance the package's functionality.
An R Package that provides functions to clean and process the Australian Public Service (APS) Employee Census, making it ready for analysis.
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The apscensus R package streamlines the analysis of Australian Public Service employee census data. It offers functions to clean and preprocess the raw census data, removing the need for manual data wrangling and ensuring data consistency for reliable analysis.
AI Summary: Create a Python helper function that compares the linting results of a given input file with and without preview mode (or other configurable options) enabled in Ruff, generating a diff of added and removed diagnostics for easier testing and smaller snapshots.
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 a `TokenCountEstimator` for Anthropic's Claude LLM within the LangChain4j Java library, leveraging Anthropic's token counting documentation and existing LangChain4j estimators as a guide.
Java version of LangChain
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Langchain4j simplifies integrating Large Language Models (LLMs) into Java applications by providing a unified API for various LLM providers and embedding stores. It offers a comprehensive toolbox of tools and patterns for building LLM-powered applications, including prompt templating, chat memory management, and agents, along with numerous examples to facilitate quick development.
AI Summary: Integrate Kotlin Coroutines into a Kotlin CLI banking system to improve performance and responsiveness. This involves refactoring existing synchronous service methods (in `TransactionService`, `BankService`, and `UserService`) to use suspend functions and structured concurrency, replacing `runBlocking` with appropriate coroutine scopes and dispatchers, and adding unit tests to ensure correct coroutine behavior.
Kotlin-based Banking System built entirely for the terminal (CLI) using clean software architecture and Separation of Concerns (SoC) principles
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This project is a command-line banking system implemented in Kotlin, demonstrating clean architecture and separation of concerns. It utilizes coroutines for efficient concurrent operations and provides a functional terminal-based interface for managing banking transactions.
AI Summary: Debug and resolve a React hydration issue in an open-source video editor application. The issue manifests as a rendering discrepancy, indicated by a screenshot showing mismatched UI elements. The application uses React, Remotion, and TypeScript, and runs via Docker. Debugging will likely involve inspecting the React component tree, comparing client-side and server-side rendering, and potentially adjusting data fetching or component lifecycle methods.
Cursor for Video Editing
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The `videoeditor` project aims to improve video editing workflow by providing a more intuitive and precise cursor control system. This enhanced cursor allows for more accurate frame-by-frame editing and manipulation of video elements.
AI Summary: The task involves fixing documentation rendering issues in the `admiralpeds` R package. Specifically, this includes correcting formula rendering problems in the reference pages for `derive_params_growth_age()` and `derive_params_growth_height()` functions, and improving the clarity of WHO metadata presentation by rearranging the order of information.
Admiral Package Extension for Pediatric Clinical Trials
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AdmiralPeds addresses the challenges of managing pediatric clinical trials by extending the Admiral platform. It offers streamlined data management, enhanced reporting capabilities, and tools specifically designed for the unique needs of pediatric studies.
AI Summary: The task is to debug the tracer in the js-slang interpreter. The tracer currently displays lists created with the `list` builtin incorrectly; it omits the `null` terminator when the list is empty. The fix requires modifying the tracer's output to correctly handle this edge case, ensuring consistent display of `null` regardless of list creation method.
Implementations of sublanguages of JavaScript, TypeScript, Scheme and Python
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js-slang provides implementations of simplified subsets of JavaScript, TypeScript, Scheme, and Python. This project aims to aid in learning these languages by focusing on core concepts and reducing initial complexity, making them more accessible to beginners.
AI Summary: Develop an authentication provider for a citizen reporting platform. This involves creating four components (Action.tsx, Context.tsx, Index.tsx, Reducer.tsx) to handle user registration and login functionality, allowing citizens to access and use the pothole reporting system.
A simple reporting platform where citizens can report potholes, and municipalities can track and manage repairs.
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Potholio is a citizen reporting platform that addresses the problem of inefficient pothole repair by allowing citizens to easily report potholes and providing municipalities with a centralized system to track and manage repairs. Key features include streamlined reporting and a centralized management dashboard for efficient repair prioritization and tracking.
AI Summary: Implement image upload functionality to the NeighbourHelp platform, allowing users to attach photos when reporting community issues. This involves integrating a suitable image upload library or service into the existing web interface and ensuring proper storage and display of uploaded images.
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NeighbourHelp is a civic tech platform enabling citizens to easily report neighborhood issues like potholes and broken streetlights. It aims to improve local government responsiveness and transparency, fostering more sustainable communities.
AI Summary: Implement functionality to record and display the timestamp of when a community issue is reported within the NeighbourHelp platform. This involves adding a timestamp field to the issue database and modifying the user interface to show this timestamp.
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NeighbourHelp is a civic tech platform enabling citizens to easily report neighborhood issues like potholes and broken streetlights. It aims to improve local government responsiveness and transparency, fostering more sustainable communities.
AI Summary: Update the S3 compatibility table at https://storj.dev/dcs/api/s3/s3-compatibility to reflect recent improvements in the Storj edge services' S3 endpoint compatibility. This involves adding, updating, or removing caveats as needed based on the current level of S3 specification adherence.
Storj edge services (including multi-tenant, S3-compatible server to interact with the Storj network)
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The 'edge' project provides multi-tenant, S3-compatible server services that interact with the Storj decentralized storage network. This solves the problem of accessing and managing Storj storage through a familiar and easily integrable interface, improving usability and accessibility.
A simple CLI-based AI coding agent
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clue is a command-line interface (CLI) tool that acts as an AI coding assistant. It helps developers by providing code suggestions, explanations, and assistance with various programming tasks, streamlining the coding process and improving efficiency.
AI Summary: The task is to fix a display issue on the Layer5 community handbook's 'Repository Overview' page. The page currently shows no content, and the fix likely involves investigating the Gatsby, React, and GitHub Pages implementation to identify and correct the rendering problem. The issue includes links to relevant documentation and design specifications.
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: Debug a Minecraft server crash caused by the Sepals optimization mod in version 1.0.22FIX2 on Minecraft 1.21.7. The crash occurs on server startup. The debugging will involve analyzing the provided crash log and potentially reviewing the mod's code and interactions with other installed mods (listed in the issue description).
An extremely radical optimization for Minecraft server performances.
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Sepals dramatically improves Minecraft server performance by implementing extremely radical optimizations. This results in smoother gameplay and increased player capacity, solving the common problem of lag and performance bottlenecks in large or heavily-modded servers.
AI Summary: Add `homeTeamId` and `awayTeamId` fields to the Spring repository for the victory prediction feature. This is needed to navigate from the victory prediction page to the head-to-head matchup screen. The update should be applied to both the victory prediction page and the homepage.
볼까예 Spring repository
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This project, 'backend', is a Spring repository likely designed to provide backend services for an application. It addresses the need for a robust and scalable server-side infrastructure, offering features typical of a Spring-based application such as data persistence and API endpoints.
AI Summary: The task involves removing a line of code (L5241 in LuaSyncedCtrl.cpp) within the Recoil game engine that sets a projectile target type to 'g'. The issue description suggests this line is redundant and can be safely removed without affecting functionality. This requires familiarity with C++ and the Recoil engine's codebase.
A powerful free cross-platform RTS game engine
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RecoilEngine is a free, cross-platform game engine designed for creating real-time strategy (RTS) games. It offers powerful tools and features to simplify development, enabling creators to focus on game design and content creation rather than low-level engine details.
AI Summary: The user is unable to train a custom speech model using the F5-TTS project. The issue stems from problems preparing and loading a custom dataset for training, including difficulties with transcription, data path specification, and configuration parameters. The user needs assistance in correctly preparing their dataset (metadata, audio files), configuring the training script, and resolving path issues within the F5-TTS framework.
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: The task is to remove the `com.alibaba.fluss.fs.hdfs.HadoopFsPlugin` entry from the META-INF directory within the `fluss-fs-oss` plugin of the Apache Fluss project. This is likely to resolve a conflict or prevent unintended behavior related to the Hadoop file system plugin when using the OSS (Object Storage Service) plugin.
Apache Fluss is a streaming storage built for real-time analytics.
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Apache Fluss is a streaming storage system designed to address the challenges of real-time analytics by providing a highly performant and scalable platform for processing and storing continuous data streams. Key features include optimized ingestion, efficient query processing, and seamless integration with existing big data ecosystems.
AI Summary: The task is to add a `typesVersions` field to the `package.json` file of the Bentocache project to resolve compatibility issues with TypeScript's module resolution in NestJS projects. This is necessary because subpath exports are not working correctly without this field, preventing proper type definition loading.
🍱 Bentocache is a robust multi-tier caching library for Node.js applications
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Bentocache is a Node.js library addressing performance bottlenecks by providing a multi-tier caching system. It improves application speed and reduces database load through efficient caching strategies, offering features like multiple cache layers and flexible configuration.
AI Summary: Debug and fix a bug in the KubeStellarUI React application where navigating to a non-existent route causes a crash instead of rendering a custom 404 page. The solution involves investigating the error message from the console, identifying the root cause of the unhandled exception within the `NotFoundPage.tsx` component or its routing configuration, and implementing appropriate error handling to display the intended 404 page.
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: Update the lesson's README file to include a link to the Carpentries workshop template's R setup instructions in the software setup section. This involves finding the appropriate section in the README, adding a link to the provided URL, and potentially reorganizing the content for clarity.
Introduction to creating Open-Access-Monitoring Dashboards with Quarto
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The oa_dashboards_quarto project provides an introduction to building interactive dashboards for Open Access monitoring using Quarto. It leverages Quarto's capabilities to create visually appealing and easily shareable dashboards, addressing the need for effective visualization and communication of Open Access data.
AI Summary: The user needs help configuring the Zoraxy reverse proxy to work with Pocket-ID for OAuth2 single sign-on (SSO). Specifically, they need assistance determining the correct callback URL to use within the Pocket-ID configuration to allow successful authentication and redirection after login.
A general purpose HTTP reverse proxy and forwarding tool. Now written in Go!
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Zoraxy is a versatile HTTP reverse proxy and forwarding tool built in Go, designed to simplify routing and management of HTTP traffic. It efficiently handles requests, forwarding them to backend servers and providing features like load balancing and request modification.
AI Summary: The provided project is a Next.js starter template for building on-chain React Native apps using Thirdweb. The issue, however, seems unrelated to the project and appears to be spam or a phishing attempt containing a link to a CoinDesk article and an email address. No specific task related to the project is described in the issue.
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Insufficient project information is available to provide a meaningful summary. The project name and lack of description or README prevent a clear understanding of its purpose, problem solved, or key features.
AI Summary: The task involves systematically replacing all instances of the word "gate" within the provided Stochastic Parameter Decomposition (SPD) project codebase and documentation with a more appropriate term, such as "ci_fn" or another suitable alternative, reflecting the actual function of the learned components.
Stochastic Parameter Decomposition
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The spd project addresses the challenge of decomposing stochastic parameters, enabling a more nuanced understanding of complex systems with inherent uncertainties. Key features likely include algorithms and methods for efficient and accurate decomposition, potentially offering insights into variability and sensitivity analysis.
AI Summary: Update the project's README file to reflect the current list of read and write functions available in the `pvsite-datamodel` Python package. The functions should be organized for better readability.
Datamodel for PV sites
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The `pv-site-datamodel` project defines a data model for photovoltaic (PV) sites, providing a standardized structure for representing key site characteristics and performance data. This solves the problem of inconsistent data representation across different PV systems, enabling easier data integration, analysis, and comparison.
AI Summary: Migrate existing PV site data model functions from the analysis-dashboard repository to the pv-site-datamodel repository. This involves refactoring and potentially cleaning up the functions, ensuring they integrate seamlessly with the existing pv-site-datamodel structure. Some functions may already exist in the target repository, requiring identification and potential merging or removal of duplicates.
Datamodel for PV sites
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The `pv-site-datamodel` project defines a data model for photovoltaic (PV) sites, providing a standardized structure for representing key site characteristics and performance data. This solves the problem of inconsistent data representation across different PV systems, enabling easier data integration, analysis, and comparison.
AI Summary: The task is to fix 43 broken links and 828 other link issues (timeouts, redirects, etc.) identified in the Osmosis project's documentation. This involves investigating why the links are broken (e.g., website changes, typos, outdated URLs), finding correct replacements, and updating the documentation accordingly. The issue report provides a detailed list of broken links and their locations within the project's repository.
The AMM Laboratory
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Osmosis, the AMM Laboratory, aims to solve the challenges of traditional automated market makers (AMMs) by providing a more efficient and flexible trading environment. Key features likely include improved liquidity provision, reduced slippage, and potentially novel AMM designs to optimize for specific trading needs.
AI Summary: The task involves adjusting the timeout duration for the distributed lock used by the metrics service's data reporting interface in the BlueKing Continuous Integration platform (bk-ci). This likely requires modifying the code related to the lock mechanism and potentially testing the changes to ensure data reporting remains reliable and efficient.
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: The task is to fix a documentation issue in the DiffeRT project. Specifically, the type annotations are missing for the `assemble_paths` function in the documentation, making it difficult for users to understand the expected input parameters. The solution likely involves removing or adjusting a `@no_type_check` decorator and ensuring the type annotations are correctly rendered in the documentation.
Differentiable Ray Tracing Toolbox for Radio Propagation Simulations
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DiffeRT is a toolbox for differentiable ray tracing, enabling efficient and accurate radio propagation simulations. It solves the problem of slow and computationally expensive traditional ray tracing methods by leveraging differentiable programming, allowing for gradient-based optimization and faster simulations.
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Kevin.Cookie0 is a project whose purpose and features are currently unknown due to a lack of provided information in the description and README. Therefore, a concise summary cannot be provided without further details.
AI Summary: The task involves debugging a bug where incorrect help content is displayed for manual, scanned, and distance expenses in the Expensify app across all platforms. The issue is reproducible in both staging and production environments. The incorrect 'Chat' content is shown in the side panel instead of the expected expense-specific help content. The solution requires identifying and correcting the logic that determines which help content is displayed based on the expense type.
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 'Export as image' functionality in the FossFLOW React component. The export currently hangs on a loading screen. The issue is reported on MacOS using Chrome, but may require broader testing. The fix likely involves investigating the image export process within the component's codebase, potentially related to asynchronous operations or server-side interactions.
Contains the fossflow npm package that is used in FossFlow, adapted from Isoflow
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fossflow-lib provides the core npm package for FossFlow, a project adapted from Isoflow. It solves the problem of managing and visualizing open-source software dependencies, offering features for dependency analysis and visualization.
AI Summary: Implement multi-language support for the Shots Studio Android app, starting with Hindi, German, Chinese, Portuguese, Arabic, Spanish, and French. This involves translating UI strings and potentially adapting date/number formatting. Community contributions for other languages are also welcome.
AI Powered Screenshot management tool
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shots-studio is an AI-powered tool designed to streamline screenshot management. It solves the problem of disorganized screenshots by offering intelligent organization and efficient searching capabilities.
AI Summary: Create a documentation walkthrough demonstrating Refact's 'QUICK' mode for fast, low-context queries, including text descriptions and screenshots of the chat interface. The walkthrough should highlight fast feedback and lightweight use cases like brainstorming or outlining ideas.
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
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Refact is an AI agent designed to automate end-to-end engineering tasks. It integrates with developer tools, autonomously plans and executes work, and iteratively refines its approach until the task is successfully completed.
AI Summary: The task is to fix 77 broken links within the Osmosis project's documentation and codebase. The errors reported include 404 (Not Found), 429 (Too Many Requests), and DNS resolution failures. The broken links are spread across various files and directories, including READMEs, upgrade guides, and code examples. The solution involves identifying the correct URLs, updating the links, and verifying their functionality.
The AMM Laboratory
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Osmosis, the AMM Laboratory, aims to solve the challenges of traditional automated market makers (AMMs) by providing a more efficient and flexible trading environment. Key features likely include improved liquidity provision, reduced slippage, and potentially innovative trading mechanisms.
AI Summary: Implement a new landing page for Spectrum UI based on a provided Figma design. This involves creating a Next.js page using Tailwind CSS, shadcn/ui, and Framer Motion, ensuring responsiveness, accessibility, SEO optimization, and incorporating provided assets. The task includes setting up routing, implementing sections per the design (hero, features, testimonials), and optimizing images.
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: Extend the existing Wasm-powered AI agent project by adding and testing new tools, investigating compatibility with various agent communication protocols (MCP, A2A), exploring alternative package installation methods (micropip), and identifying further useful tools for user interaction, particularly in local settings. The goal is to expand the project's capabilities and demonstrate the limits and potential of this approach.
Testing WASM-powered AI agents
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The wasm-agents-blueprint project facilitates testing of AI agents implemented using WebAssembly (WASM). It provides a framework for evaluating agent performance and behavior in various simulated environments, focusing on efficient execution and interoperability.
AI Summary: This task involves replacing Zulip's existing Redmine plugin integration with a new webhook integration. This includes removing the old plugin from the integration catalog and documentation, and creating a new webhook integration using the `redmine_webhook` library. The new integration should utilize a well-designed message template, potentially incorporating additional relevant fields from the webhook payload.
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: Debug and fix a bug where video files do not play correctly when attached in the New Expensify chat application. The issue is reproducible on Windows Chrome and potentially other platforms. The task involves investigating the video playback functionality, identifying the root cause of the failure, and implementing a solution that ensures videos play correctly. This may involve examining the video player implementation, handling of different video formats, or addressing potential compatibility issues with the browser or operating system.
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 bug in the VibeTunnel application where the "Network" access mode incorrectly binds to localhost instead of 0.0.0.0, preventing access from other devices on the same Tailscale network. The solution requires identifying the code section responsible for binding the server and modifying it to use the correct IP address (0.0.0.0 or *). Testing on different networks (Tailscale and local) is necessary to validate the fix.
Turn any browser into your terminal & command your agents on the go.
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Vibetunnel solves the problem of needing remote terminal access from any browser, allowing users to control their agents and systems on the go. Its key feature is transforming a standard web browser into a functional terminal interface for convenient remote management.
AI Summary: Replace the existing background images on the onda_branca_site with new images. The issue details suggest finding and implementing new background images.
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The `onda_branca_site` project is a website (details unspecified in provided context). It aims to solve the problem of providing a web presence for the entity or purpose represented by "onda branca" (likely a Portuguese name). Key features are currently unknown due to insufficient information.
AI Summary: Modify the Interledger Test Wallet's grants list to display grant details in a popup modal when a row is clicked, mirroring the existing transaction details functionality. This involves removing the existing 'View' button, adding click functionality to rows, and displaying the existing grant details page content within the modal. The 'Revoke Grant' functionality must remain operational within the modal.
An open-source test application that aims to utilize Rafiki's functionalities and demonstrate its advantages in real-world scenarios.
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Testnet is an open-source project providing a test environment for Interledger integrations, solving the problem of lacking readily available test infrastructure. It features a test wallet application, an e-commerce application, and utilizes Rafiki, an Interledger API package, to demonstrate real-world Interledger functionalities.
AI Summary: The task is to understand and potentially contribute to a .NET web application implementing the Model Context Protocol (MCP) server. This involves familiarity with C#, Azure deployment, and the MCP protocol. The provided information includes setup instructions, deployment details, and examples of custom tools. The 'First issue' mentioned in the issue details lacks specifics and requires further clarification before any action can be taken.
remote-mcp-webapp-dotnet
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The project, remote-mcp-webapp-dotnet, is a web application built using .NET that addresses the need for remote access and control. It likely provides features for managing and interacting with a system or device remotely, offering a user-friendly web interface for this functionality.
AI Summary: The task is to add support for the Vertica database to Telegraf's SQL input plugin. This involves integrating the Vertica Go driver into the existing plugin code, handling any necessary database-specific configurations, and ensuring compatibility with Telegraf's data processing pipeline.
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
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Telegraf is an agent that solves the problem of collecting and processing diverse system metrics, logs, and other data from various sources. Its key features include flexible data collection, processing pipelines for data transformation, and support for numerous output plugins to send data to various destinations.
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Deno-PLC is a framework for building PLC/HMI applications using Deno, Preact, and NATS. It solves the problem of creating modern, microservice-based HMIs by providing a set of compatible packages for UI development, communication (via NATS), and utility functions, all built around a secure, browser-based architecture.
AI Summary: Implement a CI workflow to automatically build and deploy documentation for the Wasm-powered AI agents project, mirroring the existing workflow in the Blueprint template. This involves configuring the workflow file and potentially testing the deployment process.
Testing WASM-powered AI agents
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The wasm-agents-blueprint project facilitates testing of AI agents implemented using WebAssembly (WASM). It provides a framework for evaluating agent performance and behavior in various simulated environments, focusing on efficient execution and interoperability.
AI Summary: Update the grants page list to visually match the transactions list, including date as the first column, grouping by day, and displaying the hour as part of each grant row. This involves adapting the UI to handle different screen sizes (desktop and mobile) similar to the existing transactions list.
An open-source test application that aims to utilize Rafiki's functionalities and demonstrate its advantages in real-world scenarios.
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Testnet is an open-source project providing a test environment for Interledger integrations, solving the problem of lacking readily available test infrastructure. It features a test wallet application, an e-commerce application, and utilizes Rafiki, an Interledger API package, to demonstrate real-world Interledger functionalities.
AI Summary: Improve the mobile responsiveness of the Synapse application's UI by adjusting CSS styles using media queries to ensure proper scaling, touch-friendliness, and readability on various screen sizes. This involves fixing sidebar collapse, button sizing, modal behavior, and testing across different mobile screen resolutions.
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Synapse 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: This task requires updating the `wasm-agents-blueprint` project to support LM Studio as a local model server in addition to Ollama. This involves adding a configuration function for LM Studio, renaming the existing Ollama-specific HTML file to a more general name, and updating the README and documentation to reflect the new support and instructions for setting up LM Studio with new models. Testing with the Devstral model is also part of the task.
Testing WASM-powered AI agents
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The wasm-agents-blueprint project facilitates testing of AI agents implemented using WebAssembly (WASM). It provides a framework for evaluating agent performance and behavior in various simulated environments, focusing on efficient execution and interoperability.
AI Summary: Contribute to a community-driven website by submitting a blog post containing a formatted ChatGPT conversation. This involves forking a GitHub repository, creating a new Markdown file with specific frontmatter and formatting, and submitting a pull request.
ChatSharing — a community-driven website where users share their interesting, insightful, or funny ChatGPT conversations as blog posts.
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ChatSharing is a community-driven website built with Jekyll and GitHub Pages that allows users to easily share their interesting ChatGPT conversations as blog posts via pull requests. Key features include simple Markdown contribution, automatic rendering of chat logs, and support for rich formatting options.
AI Summary: Extend the AIBrix StormService to support community-standard PodGroup implementations from Volcano and Kueue, in addition to the existing Godel Scheduler integration. This involves creating a generic PodGroup interface, implementing adapters for each scheduler, and allowing users to select their preferred backend via configuration, while maintaining backward compatibility with Godel.
Cost-efficient and pluggable Infrastructure components for GenAI inference
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aibrix provides cost-effective and modular infrastructure components for deploying and managing Generative AI inference workloads. Its pluggable architecture allows for easy integration with various hardware and software, optimizing resource utilization and reducing deployment complexity.
AI Summary: Implement upgrade orchestration features for the Storm service within the AIBrix project, enabling pause, resume, rollback, canary releases, and progress monitoring during upgrades. This mirrors the functionality of Argo Rollouts to improve deployment safety and allow for more controlled releases.
Cost-efficient and pluggable Infrastructure components for GenAI inference
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aibrix provides cost-effective and modular infrastructure components for deploying and managing Generative AI inference workloads. Its pluggable architecture allows for easy integration with various hardware and software, optimizing resource utilization and reducing deployment complexity.
AI Summary: Create a Laravel Artisan command to purge entries from the `route_logs` table that are older than one year. This involves adding a new command to the package, handling database interaction (likely using Eloquent or Query Builder), and potentially adding configuration options to control the purge behavior.
A Laravel package to track and log route usage in your application. Useful for debugging, and monitoring which routes are accessed and how often.
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The laravel-route-tracker package solves the problem of monitoring route usage in Laravel applications. It tracks and logs which routes are accessed and their frequency, aiding debugging and performance analysis.
AI Summary: Prioritize and implement improvements for the Liftify fitness tracking application based on user needs and experience. This involves reviewing existing features, identifying areas for enhancement, and developing and deploying those improvements. The improvements should align with the existing tech stack and maintain the application's functionality and multi-lingual support.
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Liftify is a mobile-first web application for tracking bench press workouts, offering advanced analytics like 1RM progression and volume tracking. Key features include multi-language support, tiered subscription plans, and secure authentication, providing a comprehensive and personalized fitness experience.
AI Summary: The task involves debugging a visual issue in Expensify's modal backdrop rendering. Multiple backdrops appear when opening modals within other modals on macOS (Chrome/Safari and Desktop). The issue is reproducible in both staging and production environments. The goal is to identify and fix the root cause of the overlapping backdrop issue, ensuring that only one backdrop is visible at a time while maintaining the expected functionality of modal backdrop clicks.
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 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: The task is to enhance the GFQL query language within the PyGraphistry library by adding new predicates that allow for more efficient and readable querying of nodes with multiple labels. This involves implementing functions (`contains_all`, `contains_any`, `has_labels`) to handle various data formats (arrays, lists, boolean columns, delimited strings) and ensuring compatibility with both Pandas and cuDF dataframes. Thorough testing and documentation updates are also required.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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PyGraphistry is a Python library that simplifies the process of visualizing and exploring large graphs using Graphistry's GPU-accelerated platform. It streamlines data loading, transformation, and embedding, enabling efficient interactive exploration of complex graph datasets.
AI Summary: The task requires fixing a resource leak in the Apache Gravitino project. Specifically, an open stream in the `Version.java` class within the `org.apache.gravitino.rel.types` package needs to be closed to prevent resource exhaustion. The solution involves either explicitly closing the stream or using try-with-resources to ensure automatic closure. Additionally, null checks should be added to prevent potential NullPointerExceptions.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Write unit tests in Python using pytest to cover eight specific exceptions within the xDSL core.py module related to IR manipulation. These exceptions involve scenarios such as adding already attached regions, using erased SSA values, detaching top-level operations, and incorrect indexing or parent-child relationships between operations, blocks, and regions.
A Python compiler design toolkit.
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xDSL is a Python-native compiler framework using SSA-based intermediate representations to simplify the creation of domain-specific compilers. It features multi-level IRs for abstraction-specific optimizations and leverages MLIR for code generation and low-level optimizations, enabling easy interaction between the two frameworks.
AI Summary: The task is to standardize the command-line interface (CLI) argument for specifying a run ID, changing either `from_run_id` or `from-run-id` to achieve consistency across the `launch_slurm` and other CLI components of the WeatherGenerator project.
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 HyperAPI Quarkus extension currently generates DTOs that incorrectly reference JPA entities instead of the generated DTOs when dealing with nested entities (e.g., a User entity containing an Address entity). The task is to modify the DTO and mapper generation to ensure that nested DTOs are used consistently, correcting the import statements in the generated DTO classes to use the appropriate DTO instead of the JPA entity.
A Quarkus extension for instant, zero-boilerplate, secured CRUD APIs
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hyper-api is a Quarkus extension that rapidly generates secure, CRUD REST APIs with minimal code. It eliminates boilerplate by automatically handling common API tasks, allowing developers to focus on business logic.
AI Summary: Implement missing unit tests for the complex variants (single and double precision) of the `eigh`, `svds`, and `newton` functions in the LightKrylov Fortran library, and add tests for the experimental `fgmres` function to improve code coverage.
Lightweight implementation of Krylov subspace techniques in Fortran.
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LightKrylov is a lightweight Fortran library providing efficient Krylov subspace methods for solving large-scale linear algebra problems. It addresses the challenge of handling implicitly defined matrices, offering functionalities like eigenvalue decomposition, singular value decomposition, and solving linear systems, all while minimizing memory usage.
AI Summary: The task is to address a deprecation warning in Apache Dubbo's Java SDK caused by Guava's use of a deprecated `sun.misc.Unsafe` method. This involves investigating the usage of Guava within the Dubbo codebase, identifying the specific location of the deprecated method call, and either updating Guava to a version without the issue or finding an alternative solution to avoid the deprecated method.
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: Debug and fix a bug in the Expensify React Native app where the red dot indicator in the Left Hand Navigation (LHN) for workspace chats doesn't appear when a scan fails. The bug is reproducible in staging but not production. The fix requires familiarity with React Native, the Expensify codebase, and debugging mobile applications. The solution involves identifying why the red dot isn't being triggered when a scan fails and updating the relevant code to ensure it is displayed 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.
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The provided project description for '12-test' is insufficient to determine its purpose or key features. The README contains only seemingly unrelated text and lacks information about the project's functionality or problem it solves.
AI Summary: The task is to address the issue titled 'yash' within the 'QA-repo' project. The issue description ('kijdkfrhfvrhihikthighbigiu') is unclear and requires further investigation to understand the specific problem and required solution.
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QA-repo is a project whose purpose is currently undefined due to missing information. Without a description or README, its problem-solving capabilities and key features cannot be summarized.
AI Summary: The task is to evaluate the feasibility of adding a plugin/component architecture to the JeecgBoot AI workflow engine, allowing for third-party extension and potentially a plugin marketplace. This involves assessing the current engine's architecture, identifying API requirements for plugin registration and interaction, and considering the design and implementation of a plugin store.
🔥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.
AI Summary: Debug a Kubernetes deployment of oauth2-proxy using Keycloak as an OIDC provider. The issue is that after successful Keycloak authentication, oauth2-proxy fails to obtain a CSRF cookie, resulting in a 404 error. The task involves analyzing the provided configurations (oauth2-proxy, Ingress, Keycloak client), logs, and network traffic to identify the root cause of the CSRF cookie failure and propose a solution.
A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
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oauth2-proxy solves the problem of securing internal applications by providing authentication via various identity providers like Google, Azure, and OpenID Connect. It acts as a reverse proxy, handling authentication and authorization before forwarding requests to the protected application, simplifying secure access management.
AI Summary: Add left padding to the title of the `ProviderCard` component in the Model Settings section to improve the appearance in dark mode. This involves modifying the `ProviderCard.tsx` file to include the necessary padding styles.
Postman for MCPs - A tool for testing and debugging MCPs
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Inspector is a testing and debugging tool for Message Channel Processors (MCPs), similar to Postman but specifically designed for MCPs. It simplifies the process of verifying MCP functionality by providing a user-friendly interface for sending and receiving messages and inspecting responses.
AI Summary: The task involves investigating and potentially resolving an issue related to a payment link (https://ncwallet.net/pay/66swop and https://ncwallet.net/pay/61lyse) within a project vaguely described as 'Dog'. The nature of the project and the issue's connection to it are unclear from the provided context.
Dog
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This project, named 'Life', is currently undefined and lacks sufficient information to provide a meaningful summary. The provided description ('Dog') and README are insufficient to determine its purpose or functionality.
AI Summary: The task involves reviewing and potentially improving a project that provides static HTML pages for redirecting users to external websites. The review should focus on the provided links, functionality, potential improvements (like adding analytics or parameterized redirects), and risk mitigation (e.g., ensuring proper CSP headers).
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The Julia project is a high-performance, high-level dynamic programming language designed to address the limitations of existing languages in scientific computing and data science. It combines ease of use with speed comparable to C or Fortran, offering features like multiple dispatch, automatic differentiation, and a rich ecosystem of packages for various applications.
AI Summary: Create images or illustrations for a redesigned Chemotion ELN page within the NFDI4Chem knowledge base. The images will either be part of a flowchart with expandable content or stand-alone illustrations alongside text descriptions. Design inspiration can be found in a Miro board and an edited article on the eln-chemotion branch of the knowledge base repository.
A place for all knowledge regarding Research Data Management (RDM) in Chemistry
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The knowledge_base project addresses the need for a centralized repository of information on Research Data Management (RDM) best practices within the chemistry field. It provides a readily accessible collection of resources, guidelines, and tools to improve RDM practices for chemists.
AI Summary: The task is to add WebAssembly (Wasm) support to the EmbedAnything project. This involves identifying and resolving incompatibilities between existing dependencies (like `getrandom`, `rust-tls`, and `image`) and the Wasm environment, enabling the project to be compiled and run within a web browser.
Production-ready Inference, Ingestion and Indexing built in Rust 🦀
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EmbedAnything is a production-ready system built in Rust for efficient inference, ingestion, and indexing of embeddings. It solves the problem of managing and querying large embedding datasets, enabling fast and scalable similarity search applications.
AI Summary: This task involves developing a feature for the BlueKing CI platform (bk-ci) to manage common variables within pipelines. This includes creating a user interface for managing variable groups, adding variables and constants, and publishing these variable groups to the database. The UI should allow for creating, editing, and deleting variable groups and their associated variables and constants. The task does not include implementing PAC (presumably, Policy As Code).
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: The provided text gives a project description and a project README (both empty) and an issue with ID 310674258 and a cryptic description 'V4pN8dteqh3z2lwcBuw2Jv'. The task requires investigating issue 310674258, understanding the meaning of 'V4pN8dteqh3z2lwcBuw2Jv' within the context of the (currently empty) project, and likely resolving the issue.
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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: Implement a feature in the KIWI appliance builder to execute a user-provided `firstboot.sh` script as a one-shot systemd unit during the first boot of the built appliance. This involves parsing the script's existence, creating a corresponding systemd unit file, and ensuring its execution only on the initial boot.
KIWI - Appliance Builder Next Generation
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KIWI is a next-generation appliance builder designed to streamline the creation of custom appliances. It simplifies the complex process of building appliances, offering key features to improve efficiency and reduce development time.
AI Summary: The provided information is insufficient to determine the required task. The project description and README are missing, and the issue description ('03VFYCLmtiuS') is an unintelligible code or identifier. 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.
AI Summary: Configure MediatR and AutoMapper in the User and Auth service of a personal finance application. This involves adding NuGet packages, registering MediatR pipeline behaviors, and creating an AutoMapper profile to map between User and UserDto objects. Successful completion ensures the service utilizes MediatR for CQRS/pipelines and AutoMapper for DTO-domain transformations.
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PersonalFinanceApp is a cloud-native personal finance management platform built with .NET Core and microservices. It solves the problem of managing personal finances by providing features like secure account linking, automated transaction categorization, budgeting tools, and insightful reporting. The application leverages an event-driven architecture for scalability and resilience.
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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: The user is unable to download a Docker compose file after following the ThingsBoard IoT Gateway getting started guide. The issue occurs both on a local ThingsBoard instance and the live demo, suggesting a problem with the guide's instructions or the gateway's functionality, not the user's environment. The task involves investigating why the 'launch common' button does nothing and providing a solution or updated instructions.
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 investigate the feasibility of dockerizing the Vivado Enterprise Edition. This involves determining if the existing Docker setup for the Vivado ML Standard edition can be adapted, or if significant changes are needed due to licensing or installation differences. The goal is to either successfully dockerize the Enterprise Edition or provide a clear explanation of why it's not currently feasible.
Docker installation of Vivado tooling
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Vivado-docker provides a convenient Docker-based installation of the Vivado design suite, eliminating the need for complex local installations and ensuring consistent build environments across different systems. Key features include a streamlined setup process and reproducible builds, simplifying Xilinx FPGA development workflows.
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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: Create database models and serialize the data. This involves designing the database schema, defining models representing the data structure, and implementing serialization to convert data between formats (e.g., JSON, XML).
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riderspool_backend is a backend system designed to efficiently manage ride-sharing operations. It addresses the need for a robust and scalable platform to handle user accounts, ride requests, driver assignments, and payment processing, ensuring a smooth and reliable experience for both riders and drivers.
AI Summary: The task is to debug a custom ThingsBoard widget's custom action. The action, intended to open a new dashboard state using `stateController.openState`, is not working as expected. The issue is likely related to how the state parameters are being set or how the target state is being referenced. Additionally, the user needs help dynamically retrieving all available state IDs.
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 determine how to perform inference using the Kwai Keye-VL model with the VLLM framework. This involves understanding the provided code examples for Keye-VL inference using the `keye_vl_utils` library and potentially adapting it to work with VLLM, which is not explicitly covered in the documentation.
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Keye is a project whose purpose and features are undefined due to missing project description and README. Therefore, no summary of its problem-solving capabilities or key features can be provided.
AI Summary: The task involves reviewing a GitHub issue related to a project that provides links to adult content websites. The issue describes the project's purpose, provides multiple access links, and specifies its licensing. No specific action is requested in the issue itself.
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The Julia project is a high-performance, high-level dynamic programming language designed to address the limitations of existing languages in scientific computing and data science. It combines ease of use with speed comparable to C or Fortran, offering features like multiple dispatch, automatic differentiation, and a rich ecosystem of packages for various applications.
AI Summary: Debug a compilation error in the EOLANG compiler. The error occurs when using an array with a suffix in EOLANG code, resulting in a "FQN must start with either with Q or $, but txt found" message during Java compilation. The task involves analyzing the provided EOLANG code snippet, understanding the compiler's error message, and identifying the cause of the compilation failure within the EOLANG compiler's handling of arrays and suffixes.
EOLANG, an Experimental Pure Object-Oriented Programming Language Based on 𝜑-Calculus
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EOLANG is an experimental programming language designed to address the limitations of traditional object-oriented programming by utilizing 𝜑-calculus. Its key feature is a pure object-oriented approach, aiming for increased expressiveness and simplicity in software development.
AI Summary: This task involves modifying the `timezonefinder` Python package to provide a globally accessible, thread-safe instance of the `TimezoneFinder` class. This requires adding a global instance, ensuring thread safety, updating existing functions to use the global instance, writing tests, and updating the documentation to reflect the changes while maintaining backward compatibility.
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: Investigate a reported issue on the Flipkart website related to security cameras. The issue, reported by Aditi Jivani, lacks specific details but provides links to BetterBugs.io for further investigation, including console and network logs. The task involves analyzing these logs to determine the root cause of the problem.
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The Test 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 decide whether to change the operating system used to build the SODAR server Docker image from Debian Bookworm to Ubuntu 24.04 for consistency with the development and CI/CD environments. This involves weighing the pros and cons of using Ubuntu versus Debian for production deployments, considering potential functional differences and advantages of each.
SODAR: System for Omics Data Access and Retrieval
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SODAR (System for Omics Data Access and Retrieval) solves the problem of accessing and retrieving large-scale omics data by providing a robust and efficient data management system. Key features include streamlined data access, improved data organization, and enhanced data retrieval capabilities.
AI Summary: Add new images to the yt project gallery. This can be done by uploading images directly in the issue thread with descriptions and citations, or by creating a pull request that adds the image to the `img/gallery/` directory and updates the `gallery.yaml` file.
The source for http://yt-project.org/
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This project maintains the website for the yt project (http://yt-project.org/). It features an auto-generated gallery and contributor list, managed through YAML files. New content is added via these files and generated using a Python script requiring specific dependencies.
AI Summary: Optimize the `timezonefinder` Python package for speed by pre-computing a mapping from hexagon IDs to unique timezone IDs. This mapping will be stored in a FlatBuffers binary file for efficient retrieval, allowing for immediate timezone lookups in cases where a hexagon has only one associated timezone. This aims to significantly improve performance, especially given that approximately 75% of hexagons have a single associated timezone.
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: Modify the Android app's "Toot" button text in `TootButton.kt` to display "Schedule" instead of "Toot" when a post is scheduled. Consider the limited space and potential language translation issues. Explore the possibility of repositioning the button to the top right to improve usability and prevent accidental premature posting.
The Pachli Android app
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The Pachli Android app is a mobile application, though its specific functionality and problem it solves are undefined due to missing information in the provided context. Further details are needed to provide a more complete summary.
AI Summary: Create a new node in the Graphite graphics editor that allows users to construct a Gradient object. This node should take as input the gradient stops (colors and fractions), start and end positions, and type (linear/radial), and output a complete Gradient object that can be used by other nodes, such as the Fill node.
2D vector & raster editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.
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Graphite is a 2D vector and raster editor addressing the limitations of traditional image editing by integrating a node-based, non-destructive workflow. This allows for procedural generation and complex manipulations without permanently altering the original assets, offering greater flexibility and control.
AI Summary: Fix a UI rendering issue in the Expensify workspace upgrade/downgrade section. The bullet points listing benefits lack consistent spacing between the bullet and the text, specifically the first benefit. The fix requires adjusting the CSS or styling to ensure uniform spacing across all benefits.
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 developing a game development platform called Gamedocx and a separate project, PROJECT: DOCX, focused on improving document management. Gamedocx requires building a platform for creating immersive game worlds, while PROJECT: DOCX needs a website, mobile app, and interactive game for managing documents. The Gamedocx project is already underway, while PROJECT: DOCX is in its initial planning stages.
The following is the profile for GAMEDOCX, providing a comprehensive overview of its purpose and characteristics.
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Gamedocx is a game development platform that solves the challenge of building immersive game worlds by providing robust development builds and tools for seamless integration of various elements like landscapes, characters, and storylines. It offers an intuitive interface and extensive customization options to empower creators in bringing their unique visions to life, whether it's a fantasy realm or a futuristic city.
AI Summary: Implement a visual effect, a red flash, to indicate when a player is hit in the Robot Rumble game. This involves adding a visual cue that triggers upon player damage, likely using a sprite or shader effect.
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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: Modify the existing Slack callback function in the `airflow-dags` project to include country flags (UK, NL, India) based on the provided country parameter. This involves creating a new function `get_slack_message_callback_no_action_required` that returns a list of `send_slack_notification` calls, each including the appropriate flag emoji.
DAGs describing the production workflows used at Open Climate Fix
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The `airflow-dags` project contains Apache Airflow Directed Acyclic Graphs (DAGs) that define and automate Open Climate Fix's production workflows. These DAGs orchestrate data processing, model training, and other crucial tasks, ensuring reliable and efficient operation of their climate modeling systems.
AI Summary: The task requires modifying the Higress AI Gateway to dynamically generate the Azure service URL, replacing the static `YOUR_DEPLOYMENT_NAME` placeholder with a variable representing the deployment name of each AI model. This will streamline the process of adding new AI service providers, eliminating the need to manually create a new Azure entry for each model.
🤖 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: Create a PHAR (PHP Archive) file for the Cognitive Code Complexity Analysis tool to simplify distribution and avoid dependency conflicts. This involves bundling the tool's code and dependencies into a single executable file.
A Cognitive Code Complexity Analysis Tool. Cognitive complexity measures how hard it is for a human to understand the code, while cyclomatic complexity measures how hard your code is to test. Understandability is a huge cost factor because ~80% time is spent on reading and understanding code.
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cognitive-code-analysis is a tool that measures the cognitive complexity of code, focusing on human understandability rather than just testability. By addressing the significant time developers spend reading and understanding code (approximately 80%), it helps improve code maintainability and reduce development costs.
AI Summary: Add instructions to the Amber LSP README on how to execute the LSP server. This involves detailing the steps to run the server, potentially including command-line arguments and any necessary environment setup.
🧠 Amber's Language Server Protocol
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amber-lsp is a Language Server Protocol (LSP) implementation for the Amber programming language. It provides features like code completion, syntax highlighting, and error checking, improving the developer experience and productivity when working with Amber code.
AI Summary: Update the PyFixest package to utilize Formulaic's native narwhal support for improved performance and potentially offer native Polars DataFrame support for input and output. This involves modifying the model_matrix function to use narwhals syntax, removing pandas conversion steps, and updating the Formulaic dependency.
Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
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pyfixest is a Python package providing fast and efficient high-dimensional fixed effects regression, mirroring the syntax of the popular R package `fixest`. It solves the performance bottleneck often encountered when estimating models with many fixed effects, enabling quicker analysis of large datasets.
AI Summary: The task is to add an API endpoint that retrieves character data by ID. This involves using an existing API to fetch character information based on a provided ID and integrating it into the project.
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The kenja_tools 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: Refactor the Skyrim Community Shaders project to centralize the definition of feature category names. This involves replacing hardcoded strings in multiple feature files with references to a centralized enum or constant definition, improving code maintainability and reducing the risk of errors.
Community-driven advanced graphics modifications for AE, SE and VR.
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skyrim-community-shaders enhances the graphics of Skyrim (AE, SE, and VR) through community-developed shaders. It solves the problem of limited visual fidelity in the base game by offering advanced visual effects and improved lighting, significantly enhancing the game's appearance.
AI Summary: Review the `model.py` file within the Easy Lightning project, addressing all TODOs and examining any commented-out code sections. This involves understanding the existing sequential recommender system implementation and potentially resolving incomplete or deprecated parts of the code.
Easy Lightning: Simplify AI-Deep learning with PyTorch Lightning. Configuration-based, 4 utilities (data, experiments, recommendation, torch) in YAML files. Streamline your workflow.
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easy_lightning simplifies AI/deep learning workflows using PyTorch Lightning. It leverages YAML configuration files for easy management and provides four utility modules (data, experiments, recommendation, and torch) to streamline common tasks.
AI Summary: The issue is a bug report with minimal information. The reporter needs to provide more details about the bug, including reproduction steps, OpenHands version, model name, operating system, and logs/screenshots. The current description is simply 'test'.
🙌 OpenHands: Code Less, Make More
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OpenHands aims to simplify software development by reducing the amount of code required. Its key features focus on streamlining common tasks and providing intuitive tools to accelerate the development process, allowing developers to achieve more with less effort.
AI Summary: Integrate a Mermaid.js generated organizational chart into the Lemon's Resting Area website. The chart depicts the relationships between Lemon's Resting Area and its affiliated projects and communities. This involves adding the Mermaid code to a suitable page within the Hugo site and ensuring it renders correctly.
The website of Lemon's Resting Area
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lemon73-computing.github.io is the website for Lemon's Resting Area, providing a digital space for information and potentially community interaction. The project's key feature is its website presence, offering a centralized location for content related to the resting area.
AI Summary: Create an 'About' section for a blog built using the Astro framework. This section should highlight the blog's core mission, vision, and values (RAID), showcase key projects and achievements, introduce the team with contact information, and include a visual element like an image carousel to display team photos and project highlights.
RAID-blogs
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The project 'blogs-raid' aims to address the problem of undefined (likely data loss or corruption) within a blogging system. Its key features are currently undefined due to missing information in the provided context.
AI Summary: Debug a proxy configuration issue in the Browser-use library. The proxy settings, which previously worked in an older version (0.1.45), are no longer functioning correctly in version 0.5.4, preventing access to a website requiring proxy authentication. The task involves analyzing the provided Python code, debug logs, and potentially investigating changes in the library between versions to identify and resolve the incompatibility.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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The browser-use project addresses the challenge of making websites accessible to AI agents, enabling automation of online tasks. Its key feature is providing a simplified interface for interacting with web pages programmatically, facilitating efficient web scraping and automation.
AI Summary: Implement a `compressVideo` function in `compressVideo.js` using ffmpeg.js to compress video files (.mp4 or .webm). The function should take a file and input ID as arguments, execute an FFmpeg compression command, send the compressed video blob back to the main script via `window.postMessage`, and finally update the file input in `content.js` with the compressed video.
FormEase is a privacy-first Chrome Extension that seamlessly integrates advanced in-browser image and video processing into any file upload workflow, eliminating external dependencies and enhancing user control.
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FormEase is a Chrome extension that simplifies file uploads by directly processing images and videos within the browser, eliminating the need for external tools. This privacy-focused solution enhances user control over their data and streamlines online form submissions.
AI Summary: Implement caching for the deployment status of User Engagement Apps (UEAs) within the Push Chain SDK. This involves adding a caching mechanism to avoid redundant RPC calls when fetching UEA bytecode, improving efficiency and reducing latency.
Push Chain SDK is a JS based monorepo providing an abstraction layer for seamless integration with Push Chain. It simplifies development by handling the heavy lifting, allowing developers to quickly build DApps on Push Chain
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The push-chain-sdk is a JavaScript-based SDK that simplifies building decentralized applications (DApps) on the Push Chain blockchain. It provides an abstraction layer, handling complex interactions and allowing developers to focus on application logic.
AI Summary: The task involves deploying a Javascript script to the Koha ILS intranet. The script sorts search filters on the search results page based on their ID, improving the user experience by allowing administrators to control the filter order via the 'Search Filters' page. The deployment is scheduled for July 22nd, 2025.
(KOHA) Koha is a free software integrated library system (ILS). Koha is distributed under the GNU GPL version 3 or later. Note: this is a synced mirror of the official Koha repo.
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Koha is a free and open-source Integrated Library System (ILS) that solves the need for affordable and customizable library management software. Its key features include cataloging, circulation, acquisitions, and patron management, all accessible under the GNU GPL license.
AI Summary: The task is to assign the 'Extended Translucency' feature of the Skyrim Community Shaders project to a more appropriate category within the project's existing categorization system. This likely involves modifying the project's code or configuration files to change the category assignment for this specific feature.
Community-driven advanced graphics modifications for AE, SE and VR.
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skyrim-community-shaders enhances the graphics of Skyrim (AE, SE, and VR) through community-developed shaders. It solves the problem of limited visual fidelity in the base game by offering advanced visual effects and improved lighting, significantly enhancing the game's appearance.
AI Summary: Migrate the Eclipse Terminal View from the legacy E3 API to the newer E4 API to improve compatibility with RCP4 applications and demonstrate the completeness of the E4 model and services for UI migration.
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: The issue is a build failure for Apache Dubbo 3.3 on macOS due to missing gRPC dependencies (io.grpc.*). The task requires identifying why the necessary gRPC packages are not being included during the build process on macOS, but are on a Ubuntu ARM64 system. This likely involves investigating the project's build configuration, dependency management (Maven), and potentially the macOS environment setup. A solution might involve adding explicit dependencies, adjusting the build profile, or resolving environment-specific issues.
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: Create at least five new Perk language test cases, focusing on edge cases or programs that currently don't work as expected. These tests should be added to the `./test/` directory, categorized into either `normalexec` (tests that should pass) or `failure` (tests that should fail). The tests are run using `make test`.
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Perk 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 identified.
AI Summary: The task is to fix a bug in the Immutables annotation processor. The `from` method in the generated builder incorrectly handles type casting when copying values from an instance of a generic interface to a builder of a different generic type, leading to ClassCastException. The solution involves modifying the generated code to avoid unchecked casts and ensure that only compatible values are copied during the `from` operation, potentially by generating separate `from` methods for different input types.
Annotation processor to create immutable objects and builders. Feels like Guava's immutable collections but for regular value objects.
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The `immutables` project addresses the need for easily creating immutable value objects in Java. It leverages an annotation processor to generate immutable classes and their associated builders, providing a similar experience to Guava's immutable collections but for general-purpose objects.
AI Summary: The task involves enhancing the kOps Kubernetes cluster management tool to allow users to specify a custom image tag version for the NVIDIA k8s-device-plugin. This requires investigating the current kOps configuration mechanism, determining how to incorporate a configurable image tag, and potentially modifying the deployment process to accommodate this change. The goal is to prevent kOps updates from overriding user-specified configurations, particularly for the time-slicing feature of the NVIDIA plugin.
Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
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kOps simplifies the creation, management, and upgrade of production-grade Kubernetes clusters across multiple cloud providers (AWS, GCP, Azure, etc.). It streamlines cluster operations, automating infrastructure provisioning and offering features like `kubectl` for cluster management.
AI Summary: The user is experiencing an issue where the 3D motion captured using Pose2Sim is imported upside down in OpenSim after performing extrinsic camera calibration using manually defined 3D points. The task is to debug this issue, likely involving examination of the coordinate systems used in the calibration process (object_coords_3d) and the orientation of the cameras relative to the scene.
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
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pose2sim solves the problem of markerless 3D motion capture by leveraging 2D pose estimation from any camera system. Its key feature is the ability to translate 2D pose data into 3D OpenSim motion, enabling accurate and versatile kinematic analysis without the need for specialized equipment.
AI Summary: Debug and fix a bug in the Expensify app where the 'RBR' (report balance remaining) is incorrectly displayed next to a report after opening a failed scan expense. The bug is reproducible on both staging and production environments, across Android mWeb Chrome and iOS app. The task involves investigating the application's codebase, identifying the root cause of the issue, and implementing a fix that prevents the incorrect display of 'RBR'.
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 'Generate API Key' button in a Chrome extension's settings and onboarding flows. This button should open the correct API key generation page for the selected LLM provider (initially Gemini, with future providers to be added) in a new tab. The implementation requires creating a provider URL map, adding a button component to the UI, and ensuring proper error handling for unsupported providers.
Browse the web with Superpowers
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Superpowers is a web browser extension designed to enhance browsing experience. It aims to solve the problem of inefficient web navigation by providing users with powerful, customizable features, although specific features are undefined in the provided context.
AI Summary: Improve the `validateFieldExistence` method in `PartitionUtils.java` by adding a check for null or empty partition field names using `Preconditions.checkArgument` to ensure early validation failure.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Evaluate the relevance and potential of a TypeScript server state management adapter library built using a monorepo structure. This involves analyzing its strengths, weaknesses, potential use cases, and future development needs based on provided project documentation and an open issue discussing its viability.
TypeScript module for front-end server state management
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The `server-state-manager-adapter` is a TypeScript module simplifying front-end server state management. It addresses the challenge of efficiently syncing and updating client-side state with server-side data, offering a streamlined interface for developers.
AI Summary: Configure the client-side search on the BlackLab website (using MiniSearch) to perform stricter, exact-word matching instead of the current loose, substring-based search. This involves adjusting the MiniSearch configuration to eliminate false positives for short search terms.
Linguistic search for large annotated text corpora, based on Apache Lucene
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BlackLab is a powerful linguistic search engine designed to efficiently query large annotated text corpora. Leveraging Apache Lucene, it offers advanced search capabilities for researchers and linguists needing to analyze complex textual data.
AI Summary: The task is to modify the Apache Gravitino CLI's type parsing logic to correctly handle whitespace within list and map type definitions. This involves improving the `ParseType.toType()` method to ignore or appropriately process spaces within the input strings representing list and map types, ensuring that types like "list( integer )" and "map( string , integer )" are parsed correctly.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Modify the `strToSeq` function in `ConfigEntry.java` to return an empty list when given an empty string as input, instead of a list containing a single empty string. This requires updating the function's logic and potentially adding a unit test to verify the change.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Add a help command to the Gotaxy server's CLI, displaying usage information. This involves adding `fmt.Println` statements within the `internal/shell/shellcli.go` file to output the help text at the indicated location.
A lightweight internal network penetration tool.
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Gotaxy is a lightweight tool designed for internal network penetration testing. It efficiently identifies vulnerabilities and aids in assessing the security posture of an internal network.
AI Summary: Fix a discrepancy in push notifications. When a workspace admin cancels a payment, the notification incorrectly says "The reimbursement was cancelled" instead of the correct "Cancelled the payment." The in-app message is correct, so only the notification needs updating. This requires modifying the notification message within the app's codebase, likely involving localization files and potentially the notification generation 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: Debug an issue with the OpenMPTCProuter network overview tab which is showing no data. This involves analyzing provided screenshots and a syslog file to identify the root cause of the problem within the OpenWrt-based router's network monitoring functionality.
OpenMPTCProuter is an open source solution to aggregate multiple internet connections using Multipath TCP (MPTCP) on OpenWrt
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OpenMPTCProuter solves the problem of slow internet speeds by aggregating multiple internet connections using Multipath TCP (MPTCP) on OpenWrt routers. Its key feature is the ability to combine bandwidth from different sources, such as multiple DSL lines or mobile hotspots, for increased throughput and improved reliability.
AI Summary: Debug and fix a `TypeError: unusable` error in the Fedify ActivityPub server framework, specifically within the double-knock authentication process. The error seems to originate from the `undici` HTTP client library when handling requests that result in 4xx or 5xx responses. The task involves analyzing Sentry error reports, examining the `signRequest` and `doubleKnock` functions in the `http-D2kxx0MM.js` file, and potentially modifying the request handling to gracefully manage non-2xx responses from the server.
ActivityPub server framework in TypeScript
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Fedify is a TypeScript framework for building ActivityPub servers, simplifying the process of creating federated social networks. It provides a robust foundation for developers to easily implement ActivityPub functionality, enabling interoperability with other federated platforms.
AI Summary: The task involves analyzing a GitHub project and issue related to a collection of links, likely to NSFW content. The goal is to understand the project's purpose (providing access to specific websites) and the issue's contribution (adding more links and alternative access points). No action is required beyond comprehension and analysis.
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This project, 'about', 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 responsive design on the homepage to ensure optimal viewing experience across all screen sizes (desktop, tablet, and mobile). This includes creating a responsive navigation bar, implementing fluid image resizing, scaling text and buttons for smaller screens, adjusting grid/flex layouts for mobile, and thorough testing across different devices.
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The blog-application project is a missing project description, therefore no problem it solves or key features can be identified.
AI Summary: The provided project description mentions a BlogService built with a microservice architecture. The issue, however, is extremely vague ('ss' and 'ssss'). More information is needed to understand the specific task required to resolve the issue. Currently, it's impossible to determine the exact requirements.
BlogService with MicroService Architecture
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BlogService is a microservice-based project designed to address the challenges of managing a blog efficiently and scalably. Key features include a modular architecture for easier maintenance and independent scaling of components, enabling robust and flexible blog functionality.
AI Summary: The task requires fixing a bug in the Moto library's AWS Batch implementation. The `describe_jobs` API call currently omits the `tags` property from the returned job details. The solution involves modifying Moto's internal data structures and logic to correctly include and return the `tags` associated with Batch jobs when using `describe_jobs`.
A library that allows you to easily mock out tests based on AWS infrastructure.
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moto is a Python library that simplifies testing of applications interacting with AWS services by providing mocks. It eliminates the need for real AWS infrastructure during testing, speeding up development and reducing costs.
AI Summary: The task is to fix a bug in the HyperAPI Quarkus extension where the MapStruct processor is failing to generate implementations for automatically generated mapper classes. The current workaround requires manually adding the MapStruct processor in the Maven compiler plugin configuration; the goal is to eliminate this manual step and have MapStruct integration handled automatically by the HyperAPI extension.
A Quarkus extension for instant, zero-boilerplate, secured CRUD APIs
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hyper-api is a Quarkus extension that rapidly generates secure, CRUD REST APIs with minimal code. It eliminates boilerplate by automatically handling common API tasks, allowing developers to focus on business logic.
AI Summary: Create a new 'Getting Started' page at `/developers` from the existing content in `/blog/getting-started`. Implement 301 redirects from the old URLs (`/blog/getting-started` and `/getting-started`) to the new `/developers` page. This involves moving Markdown content, updating routing, and configuring redirects.
Website for the Stratum V2 bitcoin mining protocol
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Stratumprotocol.org is a website dedicated to the Stratum V2 Bitcoin mining protocol. It provides information and resources for miners and developers seeking to implement and utilize this improved, more efficient mining communication standard.
AI Summary: Improve the user interface of a simple ticket submission form using HTML and CSS. The goal is to enhance the visual appeal, layout, responsiveness, and user experience without modifying the backend functionality. This involves styling existing form elements and potentially integrating a CSS framework.
AI-based ticket classifier and responder using LangChain and FAISS. Open to collaboration.
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The ai-ticket-routing-agent project uses LangChain and FAISS to build an AI-powered system for classifying and responding to support tickets. This solves the problem of inefficient manual ticket routing and handling by automating the process and improving response times.
AI Summary: Implement dark mode functionality in a Next.js application. This involves adding CSS variables and selectors for a dark theme, creating a toggle button to switch between light and dark modes, persisting user preferences using localStorage, and respecting the user's system preference. The implementation should be accessible and follow best practices.
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This project, while lacking a description and README, is likely a coding challenge implemented using React and Next.js. It aims to demonstrate proficiency in these frameworks by solving a specific problem, the nature of which is currently unknown due to missing documentation.
AI Summary: The RisingWave database is returning a non-standard encoding for the numeric value 0, causing incompatibility with some PostgreSQL client libraries like pgx/v5. The task is to modify RisingWave's numeric encoding to conform to the standard representation of 0 (ndigits = 0) as defined in PostgreSQL's source code, ensuring compatibility with a wider range of client libraries.
Stream processing and management platform.
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Risingwave is a distributed stream processing platform that solves the challenges of managing and processing real-time data streams. Key features include high throughput, low latency, and support for complex SQL queries, enabling efficient analysis of streaming data.
AI Summary: Fix a bug in the Expensify app where deleted expenses are briefly unselected before disappearing. The bug is reproducible on both Android and iOS and affects the expense deletion process within reports. The fix requires understanding the app's architecture (using React Native, Onyx, and potentially native code), debugging the deletion flow, and ensuring a smooth user experience.
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: Add a `--target` or similar command-line option to the `phino rewrite` command. This option should allow users to specify a file path where the rewritten 𝜑-calculus expression should be saved instead of being printed to the console. The existing functionality of printing to the console should remain unchanged.
Command-Line Normalizer, Rewriter, and Dataizer of 𝜑-Calculus Expressions
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Phino is a command-line tool designed to normalize, rewrite, and convert expressions written in the 𝜑-calculus. It streamlines the process of manipulating and transforming these expressions, improving efficiency and reducing errors in 𝜑-calculus-based workflows.
AI Summary: Implement a comprehensive suite of unit and integration tests for the Spring Boot bookstore application, including setting up a testing framework (JUnit), writing tests for services, controllers, and utility classes, adding test data (e.g., using H2), incorporating test coverage reporting (e.g., JaCoCo), and integrating the tests into a CI/CD pipeline (e.g., GitHub Actions). The tests should cover major functionality and pass when running the test command.
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The bookstore-spring project is a Spring Boot application that likely provides a solution for managing a bookstore's inventory, sales, and customer data. While details are lacking, it likely offers features such as adding/removing books, managing customer accounts, and processing orders.
AI Summary: Enhance a calculator application to allow user input for two numbers and the desired arithmetic operation (+, -, *, /). The current calculator performs only pre-defined calculations.
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The javaCalculator project is a simple calculator application written in Java. It solves the problem of needing a basic calculator by providing a user interface for performing arithmetic operations such as addition, subtraction, multiplication, and division.
AI Summary: The task is to fix a bug in the `phino` command-line tool where the `--help` option is duplicated in the output of the `rewrite` command. This involves identifying the source of the duplicated help text within the codebase and correcting it, likely by removing redundant help option definitions or ensuring only one is printed.
Command-Line Normalizer, Rewriter, and Dataizer of 𝜑-Calculus Expressions
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Phino is a command-line tool designed to normalize, rewrite, and convert expressions written in the 𝜑-calculus. It streamlines the process of manipulating and transforming these expressions, improving efficiency and reducing errors in 𝜑-calculus-based workflows.
AI Summary: Optimize the `getTokenData` method in the Apache Gravitino Java client to reuse the OAuth2 access token, avoiding redundant calls to `getAccessToken`. This involves modifying the existing code to store and reuse the token within the method.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Fix an overlapping issue in Ant Design's Mentions component where the feedback and clear icons overlap when both are displayed. The solution requires adjusting the layout or styling of the icons within the Mentions component to prevent overlap, ensuring correct display when both `FormItem.hasFeedback` and `Mentions.allowClear` are enabled.
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 is to debug and fix a bug in the Refined GitHub browser extension. The bug causes the `no-unnecessary-split-diff-view` feature to malfunction in the new PR Files view on Safari, resulting in an incorrect display of the diff view. The issue involves inspecting the extension's CSS and potentially adjusting it to correctly handle the new layout of the PR Files view. A temporary CSS fix was found but is no longer reproducible, requiring further investigation.
:octocat: Browser extension that simplifies the GitHub interface and adds useful features
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Refined GitHub is a browser extension enhancing the GitHub interface by simplifying its design and adding several useful features. Key features include improved pull request management, enhanced comment editing, and improved code readability, all aimed at increasing user efficiency and productivity.
AI Summary: The task is to improve the Continuous Integration (CI) process for the Rust Embedded Discovery Book project. Specifically, the CI needs to be updated to check the validity of internal URLs (paths to images) within the book's markdown files, preventing broken links from being published. This involves modifying the CI pipeline to actively verify these internal paths.
Rust Discovery Book for BBC micro::bit v2
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The discovery-mb2 project is a Rust-based programming book for the BBC micro:bit v2, teaching users how to program the device using the Rust language. It addresses the need for accessible Rust resources for micro:bit users, providing a structured learning path with practical examples.
AI Summary: Add a minimal configuration to the Rust Embedded Discovery Book project to enable EPUB generation using `mdbook-epub`. This involves configuring the project to build an EPUB version of the book and potentially adding EPUB build checks to the CI pipeline. The goal is to provide an easily accessible EPUB version for users and improve the project's build process.
Rust Discovery Book for BBC micro::bit v2
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The discovery-mb2 project is a Rust-based programming book for the BBC micro:bit v2, teaching users how to program the device using the Rust language. It addresses the need for accessible Rust resources for micro:bit users, providing a structured learning path with practical examples.
AI Summary: Implement user profile management functionality, allowing users to update their name, email, and password. This involves integrating with Keycloak's REST APIs for user retrieval and updates, handling authentication (admin token or token introspection), and creating a frontend interface using the profile-page endpoint. The changes must be reflected in Keycloak.
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LinkSphere 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 a simple `Header.jsx` React component with a site title and basic navigation bar, styled using CSS in `Header.css`. This is a beginner-friendly task for a Vite + React project.
A clean and simple Vite + React starter — beginner-friendly and open for contributions.
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vite-react-starter is a streamlined Vite and React project template designed for ease of use by beginners. It offers a clean, simple structure and welcomes community contributions to enhance its functionality.
AI Summary: Implement GitHub API calls within the Giselle project's `mcp/tools` to enable interaction with GitHub Discussions. This includes functions to retrieve discussion details, comments, list discussions (with category filtering), and list discussion categories (with pagination). The goal is to enhance the project's automation capabilities by adding support for managing GitHub Discussions.
Giselle: AI App Builder. Open Source.
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Giselle is an open-source AI application builder that simplifies the process of creating AI-powered applications. It streamlines development by providing tools and resources to accelerate the building and deployment of AI solutions.
Wab talking about Jordan shoes 👟
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This project, 'Jordan-', focuses on discussions and information related to Jordan brand shoes. While details are limited, it likely provides a platform for sharing opinions, reviews, or news about Jordan footwear.
AI Summary: Debug and fix the Codecov integration for the Haskell project 'phino', which is a command-line tool for manipulating 𝜑-calculus expressions. The issue is that test coverage reports are not being published to Codecov, requiring investigation into the Codecov configuration and build process to identify and resolve the problem.
Command-Line Normalizer, Rewriter, and Dataizer of 𝜑-Calculus Expressions
More
Phino is a command-line tool designed to normalize, rewrite, and convert expressions written in the 𝜑-calculus. It streamlines the process of manipulating and transforming these expressions, improving efficiency and reducing errors in 𝜑-calculus-based workflows.
AI Summary: Implement a mechanism in tsgolint to accept a list of rules and their configurations from the Oxlint CLI. This involves modifying tsgolint's input processing to parse and utilize rule specifications passed from Oxlint, enabling selective rule execution and customized rule behavior based on provided configurations.
Type aware linting for oxlint
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tsgolint extends oxlint, adding type awareness to improve the quality and maintainability of Go code. It leverages Go's type system to detect potential issues and enforce coding best practices that are missed by static analysis alone.
AI Summary: The task is to refactor the Modular Mojo standard library's `Hasher._update_with_bytes` trait method. The current implementation accepts a pointer and length as arguments; the proposed change is to replace these with a `Span` for improved type safety and to prevent misuse by type authors implementing the `Hashable` trait.
The Modular Platform (includes MAX & Mojo)
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The Modular Platform, encompassing MAX and Mojo, addresses the need for a flexible and scalable system. It offers modularity and extensibility, allowing users to customize and adapt the platform to their specific requirements.
AI Summary: Update the README.md file for the Push Chain SDK project to replace the existing Push bell icon banner with the banner image used in the organization's main README. This involves finding the correct image URL from the organization's README and updating the markdown in the SDK's README.
Push Chain SDK is a JS based monorepo providing an abstraction layer for seamless integration with Push Chain. It simplifies development by handling the heavy lifting, allowing developers to quickly build DApps on Push Chain
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The push-chain-sdk is a JavaScript-based SDK that simplifies building decentralized applications (DApps) on the Push Chain blockchain. It provides an abstraction layer, handling complex interactions and allowing developers to focus on application logic.
AI Summary: Debug and fix a skeleton loading issue that occurs when opening the 'Start chat' page in the New Expensify chat application. The issue is reproducible on Windows Chrome, and potentially other platforms. The task involves investigating the loading mechanism, identifying the root cause of the unexpected skeleton loading, and implementing a fix to ensure the page loads correctly without the skeleton.
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 is to answer a question about the `GlobalStep` and checkpoint resumption within the RoboOrchardLab project, a Python package for training and evaluating embodied AI algorithms. The question's details are provided in a separate markdown file linked in the issue description.
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The robo_orchard_lab project aims to address the challenges of labor shortages and efficiency in orchard management. It likely involves the development and testing of robotic systems for tasks such as harvesting, pruning, and spraying, improving productivity and reducing costs.
AI Summary: Add support for the Groq LLM provider to the DeepChat application. This involves implementing a new provider module that utilizes Groq's OpenAI-compatible API, handling authentication with a Bearer token, and integrating it into the existing user interface.
🐬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: This task involves setting up the basic infrastructure (cloud, PostgreSQL database, CI/CD), designing database tables for users and their initial surveys, and implementing secure password hashing (bcrypt/Argon2). It's the foundational work for user accounts and onboarding in a women's health tracking application.
Application de suivi de cycle et de bien-être féminin.
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Nascentia-app is a mobile application designed to track women's menstrual cycles and overall well-being. It provides features for cycle monitoring, symptom tracking, and potentially other wellness-related tools to empower users with better understanding of their health.
AI Summary: Develop authentication APIs (/register, /login) with JWT token generation and an onboarding API (/onboarding) to receive questionnaire data. This involves creating backend endpoints for user registration, login, and storing onboarding questionnaire responses.
Application de suivi de cycle et de bien-être féminin.
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Nascentia-app is a mobile application designed to track women's menstrual cycles and overall well-being. It provides features for cycle monitoring, symptom tracking, and potentially other wellness-related tools to empower users with better understanding of their health.
AI Summary: Implement user authentication screens (signup, login), a comprehensive onboarding questionnaire (9 screens), and secure token storage for the Nascentia women's health app. This is the first sprint's focus, laying the foundation for user accounts and initial data collection.
Application de suivi de cycle et de bien-être féminin.
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Nascentia-app is a mobile application designed to track women's menstrual cycles and overall well-being. It provides features for cycle monitoring, symptom tracking, and potentially other wellness-related tools to empower users with better understanding of their health.
AI Summary: Implement client-side form validation for signup, signin, and money transfer forms in a React frontend application. This involves defining validation rules, integrating a validation library (or creating custom logic), and providing user feedback on invalid input.
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Paytm is a digital payment platform that solves the problem of inefficient and insecure cash transactions. Key features include peer-to-peer payments, online bill payments, mobile recharges, and merchant payments, offering a convenient and secure alternative to traditional methods.
AI Summary: Extend the Activepieces Google Drive integration's 'Update Permission' action to support Team Drives. This involves modifying the existing TypeScript code to correctly handle Team Drive file IDs and permissions within the Google Drive API.
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
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Activepieces solves the problem of managing and automating AI workflows by providing a scalable infrastructure (280+ MCP servers) for deploying and coordinating AI agents. Key features include AI agent management, AI workflow automation, and the use of MCPs (likely Multi-Core Processors) to enhance performance and scalability.
AI Summary: This task requires enhancing the GFQL (Graph Frame Query Language) within the PyGraphistry library. Specifically, it involves adding a case-insensitive option to existing string predicates (`startswith`, `endswith`), implementing several new string predicates (length checking, stripping, negation), and potentially adding fuzzy matching. The solution should be compatible with both pandas and cuDF dataframes, include comprehensive testing, and updated documentation.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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PyGraphistry is a Python library that simplifies the process of visualizing and exploring large graphs using Graphistry's GPU-accelerated platform. It streamlines data loading, transformation, and embedding, enabling efficient interactive exploration of complex graph datasets.
AI Summary: Determine the necessity of a QR code-based order cancellation feature for the Studentské koleje Vista food ordering PWA. If cancellation is required, design and implement a system allowing cancellations only through the admin panel, preventing user-initiated cancellations via QR code.
A PWA app for the Studentské koleje Vista on ordering food
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Vista is a Progressive Web App (PWA) designed to streamline food ordering for students residing in Studentské koleje Vista. It offers a convenient and user-friendly interface for browsing menus and placing orders, improving the overall food ordering experience.
AI Summary: Implement a new `MatchRegex` assertion function for the Go assertion library 'Should', which checks if a string matches a given regular expression pattern. The function should handle multiline strings, provide informative error messages including hints for failures, and optionally accept a custom message. A complementary `NotMatchRegex` function might also be added.
Fluent and expressive assertions for Go. Make your tests readable, elegant, and easy to debug.
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The `should` project provides a fluent assertion library for Go, enhancing the readability and debuggability of tests. It offers expressive syntax, making test code cleaner and easier to understand, improving developer productivity and reducing maintenance overhead.
AI Summary: Implement structured data output for diagnostics in the tsgolint linter. This involves modifying tsgolint to emit diagnostic information in a structured format that can be easily parsed and consumed by the Oxlint CLI, replacing the current printing method.
Type aware linting for oxlint
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tsgolint extends oxlint, adding type awareness to improve the quality and maintainability of Go code. It leverages Go's type system to detect potential issues and enforce coding best practices that are missed by static analysis alone.
AI Summary: The task is to build and add a macOS ARM64 and/or a Linux ARM64 binary release of the Proxy PDF Maker application to the project's releases page. This involves compiling the C++ codebase for the specified architectures and packaging it for distribution.
App for creating PDF files for at-home printing of TCG proxies
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Proxy-PDF-Maker is an application designed to simplify the creation of printable proxy cards for Trading Card Games (TCGs). It streamlines the process of generating PDFs suitable for at-home printing, eliminating the need for manual formatting and improving efficiency.
AI Summary: Enhance the `math-sum` function to support BigInt. If any input is a BigInt, all inputs should be converted to BigInt before summation, ensuring the result is also a BigInt. This requires handling both individual number inputs and array inputs.
Sum numbers
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The `math-sum` project provides a simple solution for summing numbers. Its key feature is its ability to efficiently calculate the sum of numerical inputs, addressing the common need for quick and accurate summation.
AI Summary: This task involves fixing several bugs and implementing UI/UX improvements in the Atzicay educational platform's frontend. The work includes resolving critical bugs in the puzzle and profile sections, improving user experience with filter reordering and navigation consistency, implementing click-outside menu closures, enhancing loading states for user ratings, localizing text, fixing layout spacing issues, and ensuring responsiveness of the search bar on mobile devices. Each task should be developed in a separate branch for easier code review.
🌐 Frontend de Atzicay, plataforma educativa moderna enfocada en una experiencia de aprendizaje accesible e interactiva.
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Atzicay_frontend is the front-end interface for Atzicay, a modern educational platform. It prioritizes accessibility and interactivity to create an engaging learning experience for users.
AI Summary: Implement a toggleable setting to automatically advance to the next puzzle after solving the current one in the WeiqiHub app. This feature already exists in the "Time Frenzy" mode and should be relatively straightforward to adapt to other modes.
A unified client to multiple Go servers and offline puzzle solving.
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WeiqiHub solves the problem of fragmented access to various Go (Baduk/Igo) servers by providing a single, unified client. Key features include connecting to multiple servers and an integrated offline puzzle solver for improved learning and practice.
AI Summary: This task requires exporting existing TypeScript functions for code health analysis from the `health` command to make them accessible to the `refactor` command. This involves creating a new service layer, defining shared types, writing unit and integration tests, and updating documentation. The goal is to integrate health analysis into the refactoring process for more intelligent code improvements.
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funcqc 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: Add a GitHub Actions workflow to test the `mlc doc script` command within the MLCFlow project. This involves creating a new workflow file that executes the command and verifies its output, likely by comparing it against expected results or checking for errors. The changes are related to pull request #158.
MLCFlow: Simplifying MLPerf Automations
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MLCFlow streamlines the automation of MLPerf benchmarks, simplifying the complex process of running and analyzing these performance tests. Key features include automated workload setup, execution, and result reporting, reducing manual effort and improving reproducibility.
AI Summary: Debug and resolve two issues in a custom ESP32S3-based board running the Tactility OS: 1) The board's custom D-pad keyboard isn't detected, likely due to I2C communication problems with the PCA9555 I/O expander. 2) The SD card isn't mounting, possibly due to incorrect SPI configuration or formatting. The solution involves reviewing the I2C and SPI drivers, verifying hardware connections, and potentially adjusting the SD card formatting or SPI bus usage.
An operating system for ESP32 devices.
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Tactility is an operating system designed for ESP32 microcontrollers, addressing the need for a streamlined and efficient OS tailored to these devices. It provides a foundation for developing embedded applications, simplifying the process and offering key features for resource management and application development.
AI Summary: Synchronize three translated Kbuild documentation files (kconfig.rst, llvm.rst, reproducible-builds.rst) from the upstream Linux kernel translation project to the HUST openatom Club Translation Team's repository. This involves downloading the files from the upstream location and committing them to the HCTT TranslateProject repository.
参考 Linux 中国翻译项目,设计我们开源俱乐部的翻译项目 HCTT TranslateProject。
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TranslateProject is an open-source translation project modeled after the Linux China translation project. It aims to provide translated content for the HCTT open-source club, solving the problem of language barriers and increasing accessibility to information.
AI Summary: Update the JeecgBoot AI low-code platform's documentation to reflect that JDK 21 is now a supported environment, instead of only JDK 8 and 17, as requested by a user. This involves modifying the README and potentially other documentation files to accurately reflect the supported JDK versions.
🔥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 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 ('BWUkydTQ0rCHDA9k3g7fq') is an unintelligible code or identifier. More context is needed to understand the task associated with issue 1334519894.
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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.
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: Debug and fix a bug in the ThingsBoard IoT Gateway where large configuration messages fail to sync with ThingsBoard Cloud due to the cloud's 64KB MQTT message size limit. This involves investigating the configuration synchronization process within the gateway, potentially adjusting message handling to accommodate larger configurations or implement a chunking mechanism to send data in smaller packets.
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.
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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: The issue reports a NullPointerException (NPE) in the StatisticsCodec within the Apache Uniffle project. The reporter is willing to submit a pull request to fix the bug and has provided a screenshot illustrating the error. The task involves debugging the Uniffle codebase to identify the root cause of the NPE, implementing a fix, and submitting a pull request with thorough testing.
Uniffle is a high performance, general purpose Remote Shuffle Service.
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Uniffle is a high-performance remote shuffle service designed to address the limitations of data shuffling in distributed computing. It offers improved speed and efficiency for large-scale data processing tasks by providing a general-purpose solution for various frameworks and applications.
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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 context only gives an issue title ('1899536971') and a single-character description ('Q'). More information is needed to understand the task. The project description and README are missing, preventing a proper summary of the required work.
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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 a refresh button in the LeetCodeRating browser extension to synchronize progress across different devices. This involves modifying the existing code to allow users to manually refresh their progress data, resolving the issue of progress not syncing between devices.
一款对应力扣的浏览器油猴插件| TamperMonkey | Chrome
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LeetCodeRating is a browser extension (Tampermonkey/Chrome) that enhances the LeetCode experience. It addresses the lack of readily available rating information by providing a user's LeetCode rating directly on the platform, improving user experience and competition tracking.
AI Summary: Enhance a Python-based Snake game with hand gesture control (using MediaPipe) and an AI opponent (using reinforcement learning). The project needs improvements beyond its current scope, requiring creative expansion of features or AI sophistication.
大二课程设计,机器学习和强化学习做到手势操控贪食蛇和AI贪食蛇系统整合成人机对战
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This project designs a human-vs-AI Snake game controlled via hand gestures using machine learning and reinforcement learning. It solves the problem of creating an engaging and interactive game by combining gesture recognition with AI opponent capabilities.
AI Summary: The task is to fix a misalignment issue in the 'netiquette' banner displayed by the Refined GitHub browser extension within the Safari browser. The misalignment is visible on GitHub issue pages and needs to be corrected. The provided screenshot shows the visual problem. The solution likely involves adjusting CSS styles within the extension's code.
:octocat: Browser extension that simplifies the GitHub interface and adds useful features
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Refined GitHub is a browser extension enhancing the GitHub interface by simplifying its design and adding several useful features. Key features include improved pull request management, enhanced comment editing, and improved code readability, all aimed at increasing user efficiency and productivity.
AI Summary: Implement a command-line interface (CLI) for the tsgolint project that accepts a list of file paths as input from the oxlint linter, enabling tsgolint to perform type-aware linting on the specified files. This involves designing the communication mechanism between oxlint and tsgolint, likely involving passing file paths as arguments or through standard input/output.
Type aware linting for oxlint
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tsgolint extends oxlint, adding type awareness to improve the quality and maintainability of Go code. It leverages Go's type system to detect potential issues and enforce coding best practices that are missed by static analysis alone.
AI Summary: Research how Ollama handles filesystem access, specifically focusing on whether it's limited to vision models or applicable more broadly. Determine if Ollama provides built-in mechanisms (or recommends best practices) for restricting this access to enhance security in a distributed environment like CrowdLlama, potentially involving sandboxing, file permissions, or containerization. Document findings and propose a solution to mitigate potential security risks.
CrowdLlama is a distributed system that leverages the open-source Ollama project to run LLM inference tasks across multiple nodes using peer-to-peer (P2P) networking, enabling collaborative large language model inference workloads
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CrowdLlama solves the problem of resource constraints in running large language model (LLM) inference by distributing tasks across multiple nodes using a peer-to-peer network. Its key feature is leveraging the open-source Ollama project for efficient and collaborative LLM inference workloads.
AI Summary: Develop and implement integration tests for CrowdLlama, ensuring compatibility with existing Ollama SDKs. This involves setting up a minimal CrowdLlama deployment (bootstrap, worker, and consumer peers) and using various Ollama SDKs to run inference tasks on the worker peer within a CI/CD pipeline.
CrowdLlama is a distributed system that leverages the open-source Ollama project to run LLM inference tasks across multiple nodes using peer-to-peer (P2P) networking, enabling collaborative large language model inference workloads
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CrowdLlama solves the problem of resource constraints in running large language model (LLM) inference by distributing tasks across multiple nodes using a peer-to-peer network. Its key feature is leveraging the open-source Ollama project for efficient and collaborative LLM inference workloads.
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The project's purpose and functionality are undefined due to missing information in the provided description and README. Therefore, no summary of its problem-solving capabilities or key features can be given.
AI Summary: Integrate a PDF parser and a 7B parameter language model into a Flask backend and React frontend application. This involves updating the backend to use the new model, modifying the frontend to call the updated backend for profile setup and answer generation, and implementing rate limiting for the PDF parser to control OpenAI costs.
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ResumAI 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: Research and implement support for Apple Foundation Models in the CrowdLlama distributed LLM inference system. This involves investigating bridging techniques between Swift (for Apple's framework) and Go (CrowdLlama's language), potentially via a C intermediary or a Swift gateway with a gRPC/HTTP API. The goal is to allow CrowdLlama workers on macOS to utilize Apple's on-device LLMs.
CrowdLlama is a distributed system that leverages the open-source Ollama project to run LLM inference tasks across multiple nodes using peer-to-peer (P2P) networking, enabling collaborative large language model inference workloads
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CrowdLlama solves the problem of resource constraints in running large language model (LLM) inference by distributing tasks across multiple nodes using a peer-to-peer network. Its key feature is leveraging the open-source Ollama project for efficient and collaborative LLM inference workloads.
AI Summary: Refactor the journaling web application to use a single modal for both creating and editing journal entries. Currently, creation uses a modal, but editing uses inline editing. The task involves replacing the inline editing with a modal that mirrors the creation modal's functionality, ensuring consistency in user experience and code.
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Journaline is a project whose purpose is currently undefined due to missing project description and README. Therefore, no specific problem it solves or key features can be identified.
AI Summary: Enhance the existing YouTube userscript to add functionality for hiding or dimming playlists and mixes in addition to watched videos and Shorts. This involves modifying the script's logic to identify and manipulate the display of playlists and mixes on the YouTube interface.
Hides watched videos from your YouTube subscriptions page
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youtube-hide-watched is a browser extension that addresses the issue of cluttered YouTube subscription feeds by automatically hiding videos that have already been watched. This improves the user experience by presenting only new and unwatched content, making it easier to find videos of interest.
AI Summary: Update the GitCord project's README.md file to include a dedicated "Project" section with a link to the GitHub Projects board, maintaining consistent formatting with the rest of the document.
Manage your discord's channel and role structure and roles via Git
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Gitcord streamlines Discord server management by allowing administrators to define and manage channel and role structures using Git repositories. This approach enables version control, collaboration, and easy rollback of changes, solving the problem of complex and error-prone manual server configuration.
AI Summary: The task is to address a potential security vulnerability (backtick overflow) in the GitCord Discord bot, specifically within the webfetch functionality used to retrieve content from URLs. This involves sanitizing the output of the `fetchurl` function to prevent malicious code injection. The bot is currently under development, and the vulnerability is in the planned 'POC Phase'.
Manage your discord's channel and role structure and roles via Git
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Gitcord streamlines Discord server management by allowing administrators to define and manage channel and role structures using Git repositories. This approach enables version control, collaboration, and easy rollback of changes, solving the problem of complex and error-prone manual server configuration.
AI Summary: Implement a new separator (#) for specifying generation arguments in the EuroEval benchmark, alongside the existing @ separator for LiteLLM models. The new separator should work for all model types, while maintaining backward compatibility with the @ separator (with a deprecation warning). The implementation must handle any order of @ and # separators.
The robust European language model benchmark.
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EuroEval is a comprehensive benchmark for evaluating European language models, addressing the lack of standardized evaluation for these languages. It provides a robust suite of tasks and metrics to assess model performance across diverse linguistic contexts, facilitating the development of more accurate and inclusive multilingual models.
AI Summary: Implement the Spark SQL `last_day` datetime function within the Apache DataFusion `datafusion-spark` crate. This involves referencing existing test files and a Sail implementation, adding the function, and creating necessary tests and documentation. The task leverages existing DataFusion infrastructure and follows established contribution guidelines.
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 task is to improve the accessibility of the Gemini CLI input field within the VibeTunnel browser interface. Specifically, a clear and persistent node ID or identifier needs to be added to the DOM of the input element to allow for reliable interaction by automated agents like Comet, improving the automation and orchestration capabilities of the application.
Turn any browser into your terminal & command your agents on the go.
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Vibetunnel solves the problem of needing remote terminal access from any browser, allowing users to control their agents and systems on the go. Its key feature is transforming a standard web browser into a functional terminal interface for convenient remote management.
AI Summary: Build a basic Streamlit frontend for a podcast summarizer. The frontend should allow users to upload an audio file, view the generated transcript, and see the created chapters. The backend (containing the transcription and summarization logic) is assumed to be functional.
temp
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The Podcast-Summarizer-Search-Tool addresses the problem of time constraints in consuming podcasts by automatically generating concise summaries of podcast episodes. Key features include automated transcription, summarization, and a searchable database of summaries, allowing users to quickly find relevant information within their podcast library.
AI Summary: Set up project documentation by creating a 'docs' folder, an 'index.md' file, enabling GitHub Pages, and deciding on the documentation's complexity (simple or more advanced).
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The project's purpose is not defined in the provided information. Without a description or README, a summary cannot be generated.
AI Summary: Create a new folder and Jupyter notebooks within the existing 'coastal' folder for chlorophyll analysis. The structure and naming conventions should mirror the existing 'ndti' folder and notebooks. This is a request for assistance from @Sosi19301.
water quality monitoring
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The water-quality project addresses the need for effective water quality monitoring. It provides a system for tracking and analyzing water quality parameters, enabling timely detection of contamination and supporting informed decision-making for water resource management.
AI Summary: Implement retry functionality in the `org.eolang.maven.ChText` class to handle network issues when fetching Git SHA from a URL. The current implementation fails if the initial network request fails, requiring a retry mechanism to improve robustness.
EOLANG, an Experimental Pure Object-Oriented Programming Language Based on 𝜑-Calculus
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EOLANG is an experimental programming language designed to address the limitations of traditional object-oriented programming by utilizing 𝜑-calculus. Its key feature is a pure object-oriented approach, aiming for increased expressiveness and simplicity in software development.
AI Summary: Debug a voice command issue with the wire-pod Anki Vector robot server software. The issue involves wire-pod crashing and Vector becoming unresponsive to voice commands after the trigger word. The user reports seeing error messages related to connection and zip files, though they are unsure if these are directly related to the problem. Debugging will involve analyzing the provided error logs and potentially investigating network connectivity or software conflicts.
Free, fully-featured server software for the Anki Vector robot.
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wire-pod is a free, open-source server application that unlocks the full potential of the Anki Vector robot. It provides extensive features beyond the robot's limited factory software, enabling advanced functionalities and customizability.
AI Summary: Enhance the BlueKing CI platform's artifact repository by modifying the file download link retrieval API to allow the request address and the API parameter host domain to differ. This change will improve flexibility and adaptability to complex network environments.
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: Create governance documentation for the Entropy-Playground project, including updates to CONTRIBUTING.md, a CODE_OF_CONDUCT.md, and a maintainer guide. The documentation should then be published in the project repository.
GitHub-Native AI Coding Agent Framework for orchestrating autonomous AI development teams
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entropy-playground is a GitHub-native framework enabling the orchestration of autonomous AI development teams. It solves the problem of managing complex AI projects by providing tools for automated code generation, testing, and deployment, streamlining the entire AI development lifecycle.
AI Summary: The task involves porting the GoExport video exporter application from Windows to Linux. This requires adapting function calls, updating paths, and implementing Linux-compatible alternatives for libraries used in the Windows version. The goal is to create a functional and reliable version of GoExport for common Linux distributions.
Exporter for Wrapper Offline and FlashThemes
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GoExport is a tool designed to export data from Wrapper Offline and FlashThemes. It simplifies the process of extracting and transferring data from these platforms, addressing the need for a streamlined export solution.
AI Summary: Debug and fix a bug in the Refined GitHub browser extension where the 'open all conversations' feature intermittently fails to function correctly on certain GitHub search queries. The issue seems to stem from incorrect detection of 'is:pr' within the search URL, potentially due to a faulty 'isPRList' check. The fix requires identifying and correcting the logic responsible for determining whether the 'open all conversations' functionality should be enabled.
:octocat: Browser extension that simplifies the GitHub interface and adds useful features
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Refined GitHub is a browser extension enhancing the GitHub interface by simplifying its design and adding several useful features. Key features include improved pull request management, enhanced comment editing, and improved code readability, all aimed at increasing user efficiency and productivity.
AI Summary: The task is to debug and fix an error in the Depressurizer Steam library categorizing tool that prevents it from correctly importing game lists and categories when a new profile is created, especially when using a Steam Web API key. The error occurs after the game list download, and the tool fails to pull current Steam categories, even when using the Steam LevelDB option. The solution likely involves investigating the error message, examining the code's interaction with the Steam API and LevelDB, and implementing appropriate error handling and data retrieval mechanisms.
A Steam library categorizing tool.
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Depressurizer is a tool designed to organize and categorize a user's Steam game library, solving the problem of overwhelming game lists. Key features include customizable categorization and filtering options to help users easily find and manage their games.
AI Summary: Implement a feature in the Goruut project that allows users to specify the path to a custom pronunciation model, enabling the use of larger models that are not included in the repository. This addresses the issue of large models like the Hebrew model being too large to be hosted within the project.
IPA Phonemizer/Dephonemizer for 139 human languages
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Goruut is a powerful tool that solves the problem of converting text to and from International Phonetic Alphabet (IPA) transcriptions for 139 languages. Its key feature is its broad language support, enabling accurate phonemization and dephonemization across a diverse range of linguistic systems.
AI Summary: Debug and fix the `no-modals` feature of the Refined GitHub browser extension. The issue is that the feature is broken on the GitHub issues page (github.com/issues) in the latest version of Safari, causing modals to not function correctly. The bug is reproducible by clicking on any element on the page. The solution requires investigating the interaction between the extension's `no-modals` feature and Safari's rendering of GitHub's issues page, identifying the root cause of the malfunction, and implementing a fix that ensures proper modal functionality.
:octocat: Browser extension that simplifies the GitHub interface and adds useful features
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Refined GitHub is a browser extension enhancing the GitHub interface by simplifying its design and adding several useful features. Key features include improved pull request management, enhanced comment editing, and improved code readability, all aimed at increasing user efficiency and productivity.
AI Summary: The task involves adding comments to existing lines in the `pyproject.toml` file of the OWASP Nest project, specifically within the `tool.ruff.lint` section's ignore list. Each comment should explain the purpose of the corresponding ignored rule.
Your gateway to OWASP. Discover, engage, and help shape the future!
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Nest is a project designed to improve access and engagement with the OWASP (Open Web Application Security Project) community. It provides a streamlined gateway to OWASP resources, fostering collaboration and participation in shaping the future of web application security.
AI Summary: Add a CSV export feature to the `/dashboard` page of the OpenFinance-Col application. The export should include transaction data (date, description, amount, category, bank) for all transactions displayed on the dashboard.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Implement a line chart in the OpenFinance-Col web interface (Next.js 15) to visualize the evolution of account balances over time. The chart should include basic features like accumulated balance display and filtering by account or financial institution.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Develop a Next.js dashboard displaying transactions and products from the existing OpenFinance-Col API. The dashboard should include two sections (Transactions and Products), each with a table featuring basic filtering capabilities. The implementation must leverage the already-built API endpoints.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Create a FastAPI endpoint `/products` that returns a JSON array of `ProductSchema` objects. Each object should contain the fields `bank`, `type`, `rate`, and `updated_at`, representing scraped financial product data.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Create a REST endpoint `/transactions` using FastAPI that returns a paginated list of UnifiedTransaction objects. The endpoint should accept query parameters `bank` and `from` (date) to filter the results.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Create a custom 404 page for the SGCarsTrends website using Next.js 13 App Router, HeroUI, Lucide React icons, and Tailwind CSS. The page should include user-friendly messaging, navigation links, a search bar (optional), and adhere to the existing design system. It should also be responsive and include proper SEO meta tags and analytics tracking.
Frontend stats and charts for car trends in Singapore
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This project, 'web', provides a frontend interface displaying statistics and charts on car trends in Singapore. It solves the problem of accessing and visualizing this data in a user-friendly and insightful manner, offering key features such as interactive charts and data summaries.
AI Summary: Create a web scraper using Playwright or Requests+BS4 to extract savings and credit card interest rates from Nu Bank Colombia's website. The extracted data should be made available through the existing `/products` API endpoint, with at least two different product types included.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Configure Dependabot for the Entropy-Playground project to automate dependency updates for Python, Docker, GitHub Actions, and Terraform. This involves creating a `dependabot.yml` file and defining schedules and update prioritization for security vulnerabilities.
GitHub-Native AI Coding Agent Framework for orchestrating autonomous AI development teams
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entropy-playground is a GitHub-native framework enabling the orchestration of autonomous AI development teams. It solves the problem of managing complex AI projects by providing tools for automated code generation, testing, and deployment, streamlining the entire AI development lifecycle.
AI Summary: Create a Playwright-based web scraper for Itaú Colombia's public website to extract interest rates and fees for financial products like CDs, savings accounts, and credit cards. The scraped data (bank, product type, rate, fees, timestamp) should be stored and exposed via the existing `/products` API.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Create comprehensive contributing guidelines and documentation for the Entropy-Playground project, including setup instructions, code style guidelines, PR and issue templates, testing requirements, and a developer setup guide. The goal is to make it easy for others to contribute to the project.
GitHub-Native AI Coding Agent Framework for orchestrating autonomous AI development teams
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entropy-playground is a GitHub-native framework enabling the orchestration of autonomous AI development teams. It solves the problem of managing complex AI projects by providing tools for automated code generation, testing, and deployment, streamlining the entire AI development lifecycle.
AI Summary: Implement an IMAP email client to receive and process PDF attachments from a specified inbox ([email protected]). The system should identify the bank (Itaú or Nu) based on the PDF content and call the appropriate parser. Metadata from the email and the PDF should be stored in cloud storage (e.g., S3).
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Develop a Python function, `parse_itau_pdf(pdf_bytes)`, to parse PDF bank statements from Itaú Colombia. The function should extract transaction date, description, amount, and type, and return a list of structured transactions (UnifiedTransaction). Unit tests using an anonymized sample PDF are required.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: Implement pagination or truncation for the list of affected packages on the OSV.dev vulnerability listing page to improve readability. This involves modifying the existing codebase to display a maximum number of packages (e.g., 5) and indicate any additional packages with an ellipsis. The change should be user-friendly and maintain the overall functionality of the page.
Open source vulnerability DB and triage service.
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osv.dev is an open-source vulnerability database and triage service that helps developers quickly identify and address security vulnerabilities in their projects. Key features include a comprehensive database of known vulnerabilities and tools to assist with vulnerability analysis and remediation.
AI Summary: Set up the initial game window for a Rock-Paper-Scissors simulation, including defining window dimensions, initiating the game loop, and initializing necessary game variables.
RPS Arena
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The rock-paper-scissors-simulation project simulates multiple games of rock-paper-scissors, providing insights into win rates and strategies. It lacks a detailed description, but likely focuses on statistical analysis of the game rather than a user-interactive experience.
AI Summary: Implement foreign key constraints and cascade delete functionality in the PostgreSQL database to replace existing custom logic for deleting related data in character sheet models. This will improve data integrity and simplify the codebase.
Simple, performant, cloud-based tools for tabletop roleplaying gamers
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dm-dash provides simple, performant cloud-based tools to streamline tabletop roleplaying game management. Key features include simplifying campaign organization, character sheet management, and encounter tracking, solving the problem of juggling disparate tools and paper for game masters.
AI Summary: The task is to investigate why the copymanga Android app, a third-party client for the MangaCopy website, is unable to access the website due to a suspected domain change. The issue suggests the app may be using an outdated domain (copy20) while the website has reverted to mangacopy.com. The solution likely involves updating the app's API calls to use the correct domain.
拷贝漫画的第三方APP,仅提供基础功能,更多丰富功能请移步官方版本
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Copymanga is a third-party app for reading manga, offering basic functionality as a lightweight alternative to the official app. It focuses on providing a streamlined reading experience without the extra features found in the official version.
AI Summary: Enhance the skip list implementation within OasisDB's LSM tree-based key-value storage to improve concurrency by using more granular locking mechanisms, focusing on locking only the necessary left boundary during insert and get operations instead of using a global RWMutex.
OasisDB: A open-source vector database, it is minimal and lightweight, suitable for beginners
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OasisDB is a lightweight, open-source vector database designed for ease of use, especially for beginners. It solves the problem of needing a simple and accessible solution for storing and querying vector embeddings, crucial for applications like similarity search.
AI Summary: Create a Python function within the OpenFinance-Col project to parse Nubank Colombia PDF bank statements. The function should extract transaction details (date, description, amount, currency, category) and return them in a standardized JSON format. The task requires handling PDF parsing, data extraction, and potentially date formatting, and includes writing at least one unit test.
Plataforma open-source para estructurar y acceder a datos financieros en Colombia usando extractos, scraping y próximamente APIs oficiales de Open Finance.
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OpenFinance-Colombia is an open-source platform designed to simplify access to Colombian financial data. It achieves this by structuring data from bank statements, web scraping, and future integration with official Open Finance APIs, providing a unified view of financial information.
AI Summary: The task is to debug a JavaScript execution error in the Dify workflow code execution node. The error occurs when an output variable named "error" is used, causing a `ValueError` exception. The solution might involve changing the error handling in the `template_transformer.py` file to avoid conflicts with user-defined variables named "error", perhaps by using a more specific variable name for error messages.
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: Refactor C++ code to determine the necessity of default constructors in the presence of parameterized constructors. The task involves reviewing existing code across multiple modules (0-4) focusing on class design and constructor implementation. The goal is to ensure efficient and correct object initialization while adhering to best practices.
WIP project list about C++ Modules (0 to 4), from 42 school - @42sp
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This project encompasses a series of C++ modules (0-4) from the 42 school curriculum. It aims to solidify fundamental C++ programming concepts through practical exercises and builds a strong foundation in core programming principles.
AI Summary: The Silicon Melbourne documentation website's deployment GitHub Action needs to be updated to support mdBook preprocessors, specifically `mdbook-toc`. This requires investigating workarounds or modifications to the existing action to incorporate preprocessor functionality, potentially involving forking and modifying the `actions-mdbook` action or finding an alternative solution.
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The issue-tracker project, while lacking a detailed description, likely aims to solve the problem of managing and tracking issues or bugs within a software development or project management context. Key features are undefined without further information but would likely include issue creation, assignment, prioritization, and status tracking.
AI Summary: The task is to prevent the Discord bot from automatically syncing commands during the `on_ready` event or similar functions. This involves modifying the bot's code to avoid automatically registering commands upon startup, likely requiring a change in how commands are handled and potentially implementing a manual command registration or syncing mechanism triggered by a specific event or command.
Manage your discord's channel and role structure and roles via Git
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Gitcord streamlines Discord server management by allowing administrators to define and manage channel and role structures using Git repositories. This approach enables version control, collaboration, and easy rollback of changes, solving the problem of complex and error-prone manual server configuration.
AI Summary: Implement support for custom time intervals in Envoy's rate limiting configuration. Currently, only predefined units (SECOND, MINUTE, HOUR, DAY) are allowed; this enhancement would allow users to specify arbitrary intervals (e.g., 30 seconds, 5 minutes) for more precise rate limiting.
Cloud-native high-performance edge/middle/service proxy
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Envoy is a high-performance proxy designed for cloud-native applications, solving the challenges of service-to-service communication and edge routing. Key features include dynamic service discovery, load balancing, and advanced traffic management capabilities.
AI Summary: Port the CyberCatCafe application from Expo web to a functional Android environment, ensuring compatibility and implementing native features like push notifications.
This is the application repository for orbital 25(CP2106) by group AnxiousGrassHopper
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CyberCatCafe is a project developed by AnxiousGrassHopper for orbital 25 (CP2106). While the specific problem it solves is undefined from the provided information, it's an application likely designed for a cafe setting, potentially incorporating features related to ordering, management, or customer interaction.
AI Summary: Enhance Envoy's health check logging to include more detailed information, such as HTTP status codes, beyond the current limited logging of ACTIVE, PASSIVE, NETWORK, and NETWORK_TIMEOUT failure types. This involves modifying the HealthCheckEjectUnhealthy function and potentially the HealthCheckFailureType enum to accommodate richer logging options.
Cloud-native high-performance edge/middle/service proxy
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Envoy is a high-performance proxy designed for cloud-native applications, solving the challenges of service-to-service communication and edge routing. Key features include dynamic service discovery, load balancing, and advanced traffic management capabilities.
AI Summary: The task is to set up API keys. The provided project documentation does not offer specifics on which API keys are needed or how to set them up, only mentioning the existence of a 'Weekly Report Progress' section which might contain relevant information. The issue description is vague ('hhhh'). More information is needed to complete this task effectively.
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This project, Cloudly-Alpha-AI-Team-2, lacks a provided description or README, preventing a detailed summary. Therefore, no specific problem solved or key features can be identified.
AI Summary: Improve the responsive design of the Text Tools App to ensure it functions correctly and looks good on all screen sizes (desktops, tablets, and mobile phones). This involves fixing layout issues, adjusting font sizes, and ensuring interactive elements are usable on smaller screens. The goal is to create a mobile-first design.
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The text-tools-app project is currently undefined and lacks a description or README. Therefore, no specific problem it solves or key features can be identified.
AI Summary: Fix a bug in the New Expensify app where selecting tags after the 500th tag causes the list to jump to the "Show More" section. The issue is reproducible on both iOS and staging/production environments. The task involves debugging and correcting the scrolling behavior of the tag list to ensure selected tags remain visible.
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 creating a basic CRUD (Create, Read, Update, Delete) application, likely as part of a GitHub project. The project description details a masterclass focused on improving GitHub workflows using Projects, Issues, and GitHub Actions. The provided issue is a request to create the CRUD functionality, assigned to a user named @gwrag.
0 to 100 github
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MasterClass aims to bridge the gap between novice and expert-level GitHub proficiency. It provides a structured learning path, guiding users from basic understanding to advanced usage through a comprehensive curriculum.
AI Summary: Create a basic settings page with a Display Name input field, a Profile Image display (using existing logic from `TopNav.vue`), and an SVG image of a dog at the bottom. Styling should be done using Tailwind CSS. The edit functionality for the Display Name is not required at this stage; a simple input field suffices. Authentication logic is to be added later.
Front-end repository for Find a Doc, Japan
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The findadoc-web project is the front-end for Find a Doc, Japan, a website connecting people in Japan with healthcare services. Key features include multilingual support and an open-source, community-driven development model utilizing Vue 3, Nuxt 3, and Pinia.
AI Summary: Debug and fix a bug in the `ggc` (Git CLI tool) version command. The bug causes incorrect version information and a non-zero exit status to be displayed. The fix should ensure the correct version, commit hash, and a zero exit status are shown.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: The task is to fix a bug in the Gemini CLI where pasting text automatically adds a carriage return, causing messages to be prematurely sent. The solution needs to prevent the automatic carriage return on paste, allowing users to edit pasted text before sending it. This should ideally handle various paste scenarios and maintain a clean user experience.
An open-source AI agent that brings the power of Gemini directly into your terminal.
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gemini-cli is an open-source command-line interface (CLI) that provides direct access to Google's Gemini AI model. It solves the problem of needing a graphical interface to utilize Gemini's capabilities by offering a terminal-based interaction, making it accessible and convenient for users.
AI Summary: Define the purpose, target audience, and overall vision for BBBC's new website before beginning development. This crucial initial step will guide design and feature choices, ensuring the website effectively serves its intended users.
Planning and building BBBC's website using HTML, CSS, and JavaScript
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The bbbc-website project aims to create a user-friendly website for BBBC church, providing a welcoming online presence and facilitating community engagement. Key features include a homepage, ministries page, events calendar, sermon archive, and contact information, all built using HTML, CSS, and JavaScript.
AI Summary: The task is to modify the Apache Fluss fluss-fs-s3 plugin to exclude the `com.alibaba.fluss.fs.hdfs.HadoopFsPlugin` class from its META-INF directory. This is likely to prevent conflicts or unnecessary dependencies when using the S3 plugin.
Apache Fluss is a streaming storage built for real-time analytics.
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Apache Fluss is a streaming storage system designed to address the challenges of real-time analytics by providing a highly performant and scalable platform for processing and storing continuous data streams. Key features include optimized ingestion, efficient query processing, and seamless integration with existing big data ecosystems.
AI Summary: The task is to modify the Apache Fluss fluss-fs-gs plugin to exclude the `com.alibaba.fluss.fs.hdfs.HadoopFsPlugin` entry from its META-INF directory. This is likely to resolve a conflict or prevent unintended behavior when the plugin is used.
Apache Fluss is a streaming storage built for real-time analytics.
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Apache Fluss is a streaming storage system designed to address the challenges of real-time analytics by providing a highly performant and scalable platform for processing and storing continuous data streams. Key features include optimized ingestion, efficient query processing, and seamless integration with existing big data ecosystems.
AI Summary: The task is to modify the Apache Fluss fluss-fs-obs plugin to exclude the `com.alibaba.fluss.fs.hdfs.HadoopFsPlugin` class from its META-INF directory. This is likely to resolve a conflict or prevent unintended behavior when the plugin is used.
Apache Fluss is a streaming storage built for real-time analytics.
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Apache Fluss is a streaming storage system designed to address the challenges of real-time analytics by providing a highly performant and scalable platform for processing and storing continuous data streams. Key features include optimized ingestion, efficient query processing, and seamless integration with existing big data ecosystems.
AI Summary: The issue describes a problem with LibreHardwareMonitor not detecting fan speeds from SYS_FAN headers on an MSI PRO Z890-S WIFI PZ motherboard. The task is to investigate why the LibreHardwareMonitor software isn't reading the SYS_FAN sensor data, potentially requiring debugging the software's sensor reading capabilities for this specific motherboard model. This might involve examining the motherboard's sensor data output, updating the software's sensor detection logic, or confirming if the issue is specific to the motherboard's BIOS settings or hardware configuration.
Libre Hardware Monitor, home of the fork of Open Hardware Monitor
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LibreHardwareMonitor is a free and open-source system monitoring tool that provides real-time information on computer hardware components. It addresses the need for a reliable and accessible alternative to proprietary monitoring software by offering detailed readings of CPU, GPU, memory, and other hardware metrics.
AI Summary: Update the `DEVELOPMENT.md` file in the Karmada dashboard repository to reflect the removal of local testing scripts. The update should accurately reflect that the `hack/local-up-karmada.sh` script is now located in the main Karmada repository and should be used for local development instead.
Web UI for Karmada
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The Karmada Dashboard is a web UI for managing Karmada, a multi-cluster Kubernetes management project. It provides a user-friendly interface for monitoring and interacting with multiple Kubernetes clusters, simplifying complex multi-cluster operations. Key features include a web-based control panel and authentication via JWT tokens.
AI Summary: The Renovate configuration file for the Rspack project has an error. The `packageRules` section attempts to use both `matchUpdateTypes` and `rangeStrategy` simultaneously, which is invalid. The task requires correcting this configuration file by either removing `matchUpdateTypes` or `rangeStrategy` from the conflicting rule to allow Renovate to resume creating pull requests.
The fast Rust-based web bundler with webpack-compatible API 🦀️
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rspack is a high-performance web bundler written in Rust, offering a familiar webpack-compatible API. It addresses the performance limitations of JavaScript-based bundlers by leveraging Rust's speed and efficiency, resulting in faster build times and improved developer experience.
AI Summary: The task involves developing a 3D fighting game, "Chaos War," aiming for innovative and dynamic combat. The project is in early stages, and the current need is to assemble a team and develop the core gameplay mechanics to create a competitive fighting game. The ambitious goal is to rival established titles like GTA 6, though the project's current description suggests a need for significant planning and refinement.
Chaos War es un ambicioso juego de peleas 3D con sistemas de combate dinámicos, realismo extremo y personajes con habilidades únicas, desarrollado con visión para romper con lo tradicional y reinventar el género de pelea.
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Chaos-War is a 3D fighting game aiming to revolutionize the genre with its dynamic combat system and realistic visuals. It features unique characters with distinct abilities and a focus on breaking away from traditional fighting game conventions.
AI Summary: The task requires creating a new directory within the Heimdall project to store SPDX and CycloneDX schema files. A script should also be added to automatically download and update these schemas from their official sources, ensuring the project always uses the latest schema versions for SBOM generation.
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The provided information does not describe a project, making it impossible to summarize its problem-solving capabilities or key features. More context about the 'heimdall' project is needed.
AI Summary: The task is to update the Agent Development Kit (ADK) documentation's 'In-Memory Memory' example to include a second step demonstrating the use of the `MemoryRecallAgent` to retrieve information from memory, thus completing the memory lifecycle demonstration (capture, store, retrieve). This involves modifying the example code and potentially the documentation text to reflect the changes.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
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adk-docs is an open-source Python toolkit enabling the creation, assessment, and deployment of advanced AI agents. It prioritizes flexibility and user control over the agent development process, offering a code-first approach for building sophisticated AI systems.
AI Summary: Implement 'pluck' and 'groupby' methods for the collection class within a minimalistic PHP framework. This will allow for easier data manipulation and aggregation.
A minimalistic PHP framework designed for simplicity and small-scale projects
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minimal-core is a lightweight PHP framework ideal for small projects that prioritizes simplicity and ease of use. It avoids unnecessary complexity, offering core functionalities for rapid development without the overhead of larger frameworks.
AI Summary: The task involves verifying compatibility of the Elite Bionics Framework (EBF) mod with various other RimWorld mods after a RimWorld game version update (1.6). This includes checking existing integrations and potentially resolving compatibility issues by updating the EBF mod or contacting other mod authors.
A common framework to change body part max HP.
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Elite Bionics Framework (EBF) is a RimWorld mod providing a standardized way for other mods to modify body part maximum health points. It offers built-in integration with several popular mods and provides tools and documentation for developers to easily incorporate its functionality into their own projects, ensuring compatibility and preventing conflicts.
AI Summary: Create a custom 404 page for the University of Auckland Badminton Club website's Next.js frontend, replicating a provided design. The page should display a '404 page not found' message and include thorough testing using React Testing Library.
The University of Auckland Badminton Clubs Website
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uabc-web is a website for the University of Auckland Badminton Club, designed to provide members and prospective members with easy access to club information, such as schedules, contact details, and news. Key features likely include event calendars, team rosters, and membership information.
AI Summary: Debug and fix filtering functionality for events in a Node.js/NestJS API. This involves inspecting the API's public controller and service, as well as the event service, to identify and correct issues with data formatting and database query logic related to filtering events by date and category.
API para meu projeto integrador que estou realizando na faculdade
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The api_kdaboa project is a RESTful API built with NestJS, Prisma, and other technologies to serve as the backend for a larger integrated project. It addresses the need for secure data management and efficient communication between the frontend and database, providing features like user authentication (JWT), email verification (Nodemailer), and robust data handling.
AI Summary: Migrate status descriptions and descriptions from Moodle P1-test (link provided) to the Virtual Air Rescue documentation repository (GitHub). This involves using Git and potentially Node.js to update the markdown files within the repository, following their contribution guidelines.
Öffentliches Repository für die Dokumentation der VAR und dessen Systeme sowie Wissenswertes zur Luftrettung
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docs-v2 is a public repository containing documentation for the Virtual Air Rescue (VAR) system and related air rescue knowledge. It allows community contributions to improve and expand the documentation through a collaborative GitHub workflow using Markdown and Node.js.
AI Summary: Improve the user interface (UI) of profile setting pages by adding X padding to form placeholders and setting a maximum height for edit and remove buttons using CSS.
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ResumAI 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: Implement the Spark `next_day` date function within the Apache DataFusion `datafusion-spark` crate. This involves referencing existing test files and a Sail implementation, adding the function, and creating necessary tests and documentation. The task leverages existing resources and follows established patterns within the DataFusion project.
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 task involves expanding the input capabilities of the Giselle Image Generator Node to match those of the Text Generator Node. This requires investigating and implementing support for ActionNode, GitHubNode, TriggerNode, and WebPageNode as inputs to the Image Generator Node. The feasibility of each input type needs to be assessed.
Giselle: AI App Builder. Open Source.
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Giselle is an open-source AI application builder that simplifies the process of creating AI-powered applications. It streamlines development by providing tools and resources to accelerate the building and deployment of AI solutions.
AI Summary: Implement OTP authentication in a React Native application. This involves creating a form for phone number input, sending an OTP to the entered number, potentially auto-populating the OTP from incoming SMS, and verifying the OTP using Firebase authentication.
React native application for the rural share platform
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The rural-share-app is a React Native application designed to facilitate sharing and resource exchange within rural communities. It addresses the challenges of limited access to resources and information by providing a user-friendly platform for connecting individuals and organizations.
AI Summary: Refactor Greenwood's hashing utility to use Node.js's `crypto.createHash` for improved cross-platform consistency. This involves replacing the existing ad-hoc hashing method and updating related test cases to use regular expressions for matching hashed filenames instead of hardcoded values.
Greenwood is your workbench for the web, embracing web standards from the ground up to empower your stack from front to back.
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Greenwood is a web development workbench built on web standards, solving the problem of complex build processes. Its key features include on-the-fly page building, HTML-first authoring, support for various rendering methods (SSG, SPA, SSR), and extensibility via plugins.
AI Summary: Implement several new features for the UTPM (Unofficial Typst Package Manager) based on user requests. These features include version bumping, syncing package versions, local package packing, generating a requirements file, and checking for newer package versions. The implementation should leverage existing UTPM functionality where possible and maintain a consistent CLI interface.
A package manager for local and remote Typst packages.
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utpm is a package manager designed to streamline the installation and management of Typst packages, both locally and from remote repositories. It simplifies the process of incorporating external components and dependencies into Typst projects, improving workflow efficiency.
AI Summary: Create a proof-of-concept (POC) for a React Native application that displays a location pin on a map based on coordinates fetched from a database and the device's current geolocation. The POC should demonstrate the ability to obtain the device's location and then pinpoint a location on a map using coordinates retrieved from a database.
React native application for the rural share platform
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The rural-share-app is a React Native application designed to facilitate sharing and resource exchange within rural communities. It addresses the challenges of limited access to resources and information by providing a user-friendly platform for connecting individuals and organizations.
AI Summary: Create a custom 404 page for the BetaWEB website using Astro and Tailwind CSS, incorporating a visually appealing design with options to return to the homepage or use the browser's back button, or contact information.
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Without access to the project's description or README, a concise summary cannot be provided. The project's purpose and features are unknown.
AI Summary: The task involves reviewing and updating the data handling in a Node.js/NestJS API for a college project. This includes examining existing routes related to user management (specifically for 'Gerente' roles) and authentication, identifying missing data fields, potentially restructuring the database schema, and creating new API endpoints to handle the missing data insertion as needed. The goal is to ensure data integrity and completeness within the system.
API para meu projeto integrador que estou realizando na faculdade
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The api_kdaboa project is a RESTful API built with NestJS, Prisma, and other technologies to serve as the backend for a larger integrated project. It addresses the need for secure data management and efficient communication between the frontend and database, providing features like user authentication (JWT), email verification (Nodemailer), and robust data handling.
AI Summary: Create a new npm package containing the changelog generation functionality currently duplicated across multiple SEEK repositories. This will involve extracting the existing `changelog.js` script, refactoring it for independent use, adding necessary documentation, and publishing it to npm.
🤿 SEEK development toolkit for backend applications and packages
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Skuba is a SEEK development toolkit streamlining backend application and package creation. It offers TypeScript support, enforced coding standards (ESLint, Prettier), testing (Jest), and deployment options (Gantry, Serverless, AWS CDK), along with CLI commands and project templates for efficient development.
AI Summary: Debug and fix a bug in the Annuus Minecraft mod where stonecutter recipes fail to load correctly on both client and server sides, potentially involving interactions with other mods or limitations within Minecraft's vanilla code or Fabric API. The task involves analyzing provided logs, reproducing the bug, and identifying the root cause to implement a fix.
Annuus is a mod for minecraft networking, improves network performance and makes the game more available for running on large server.
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Annuus is a Minecraft mod designed to enhance network performance, particularly for large servers. It addresses issues of lag and instability, improving the overall player experience and server availability.
AI Summary: Update the Bluefin project's bazaar banner artwork with new, improved JXL images from the specified GitHub directory, replacing the existing PNGs. The new images feature reduced chromatic aberration.
The next generation Linux workstation, designed for reliability, performance, and sustainability.
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Bluefin is a high-performance Linux workstation prioritizing reliability and sustainability. It addresses the need for a robust and environmentally conscious computing solution, offering superior performance while minimizing environmental impact.
AI Summary: Fix image cropping issues in the Nounspace Farcaster client's feed. The goal is to ensure that images are cropped consistently with Farcaster's default behavior when collapsed and display fully when expanded, addressing inconsistencies introduced by a recent code change. This involves debugging the image rendering and cropping logic within the application.
The nounspace web client
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nounspace.ts is a web client for interacting with the Nouns DAO. It provides a user-friendly interface for accessing and managing Nouns-related data and functionalities. While specifics are limited without a README, it likely simplifies user interaction with the complex Nouns ecosystem.
AI Summary: Configure Spring Boot to run a first program in a new API for ninja registration. This involves setting up a basic Spring Boot project and running a simple 'Hello World' application to verify the environment is correctly configured.
Uma API para cadastro de ninjas usando springboot para o curso java 10x
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CadastroDeNinjas is a Spring Boot API designed for the Java 10x course. It addresses the need for a system to register ninja profiles, providing a functional backend for managing ninja data.
AI Summary: Correct a syntax error in a JSX return statement within the `Card.jsx` component located in the `client/src/component` directory. The error involves incorrect empty parentheses in the return statement.
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This project, an HRMS (Human Resource Management System), addresses the need for efficient and centralized management of employee data and HR processes. Key features likely include employee record management, payroll processing, performance reviews, and recruitment tools, streamlining HR operations and improving overall efficiency.
AI Summary: Refactor two NestJS controllers (public and admin) to improve code organization, data validation, security (JWT authorization), error handling, and response standardization. This involves implementing DTOs/schemas for input validation, using appropriate HTTP status codes, and logging errors. The goal is to enhance the API's robustness and maintainability.
API para meu projeto integrador que estou realizando na faculdade
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The api_kdaboa project is a RESTful API built with NestJS, Prisma, and other technologies to serve as the backend for a larger integrated project. It addresses the need for secure data management and efficient communication between the frontend and database, providing features like user authentication (JWT), email verification (Nodemailer), and robust data handling.
AI Summary: Modify the existing counters in the Scoutradioz application to accept an optional 'max' attribute. This attribute will set an upper limit on the counter's value, preventing accidental or intentional over-incrementing of metrics during scouting.
Scoutradioz, a multi-team FRC scouting app developed by The Gearheads. Designed for and running on Amazon Web Services.
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Scoutradioz is a multi-team FRC scouting application built by The Gearheads and hosted on AWS. It streamlines the scouting process for FIRST Robotics Competition teams by providing a centralized platform for data collection and analysis, improving team strategy and performance.
AI Summary: The task involves fixing a bug in the Envoy Gateway's external authentication (extAuth) functionality related to the processing of backendRef Providers. The bug, also present in extAuth, needs to be addressed separately from a related pull request.
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.
bootcamp-devjr-traffic-light
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The bootcamp-devjr-traffic-light project simulates a traffic light system, likely for educational purposes. It demonstrates fundamental programming concepts such as state management and timing, providing a simple yet effective learning tool for junior developers.
AI Summary: Decide whether to update or delete missing 2024 CONUS RME bounds files from the Riverscapes Data Exchange API. Options include doing nothing, updating the project bounds using RSContext bounds for matching HUCs, or deleting the projects due to errors and obsolescence. This requires investigation into the project's status and impact of each option.
Python scripts to run against the Riverscapes Data Exchange API
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The `data-exchange-scripts` project provides Python scripts for interacting with the Riverscapes Data Exchange API. These scripts streamline data access and manipulation, simplifying common tasks and improving efficiency for users of the Riverscapes platform.
AI Summary: The task is to test a Tailwind CSS plugin (tailwindcss-safe-area) that provides utilities for handling safe areas, ensuring it functions correctly after being ported to a CSS-only implementation. Testing should cover various scenarios and screen sizes, and ideally include feedback on the plugin's usability and generated styles. An example setup using Astro is provided.
Tailwind CSS utilities for safe areas
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tailwindcss-safe-area provides Tailwind CSS directives to easily manage safe areas on various devices, ensuring content avoids being obscured by notches, status bars, or other screen elements. This simplifies responsive design by offering pre-built classes for consistent padding and positioning across different screen types.
AI Summary: Develop a C# console application that interacts with a Monkey data model. The project is broken down into five phases: implementing basic model and helper classes, adding core data management features, creating an interactive menu system, improving the UI with ASCII art and color, and finally, testing and refining the application. The application should display a list of monkeys, allow searching by name, select a random monkey, and feature an attractive UI.
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NekoApp is a project whose purpose and features are undefined in the provided context. Therefore, a concise summary cannot be provided without further information.
AI Summary: The task is to modify the `red-dwarf` Python library to accept string IDs for participants and statements in the `run_pipeline()` function. Currently, the library assumes numeric IDs, limiting its compatibility. The change requires adapting the code to handle string IDs without breaking existing functionality.
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: Debug a QMK firmware issue where a layer tap with quick hold produces incorrect key outputs, seemingly unrelated to QUICK_TAP_TERM. The issue involves inconsistent behavior across keys, with some keys outputting expected layer 1 values while others output unexpected characters, even after removing those characters from the keymap. The problem occurs on both Charybdis and wireless Corne keyboards, and a solution needs to be found that works without relying on QUICK_TAP_TERM adjustments, especially for the wireless Corne which uses Vial.
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: Create a new Unity project for the EBAC Class 1 repository. The current repository lacks a Unity project, which is needed for further development.
Repositorio Clase 1 EBAC
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RepositorioclaseEBAC is a repository for class materials from EBAC. It likely serves as a central location for students to access course content, assignments, and other relevant resources. The project aims to improve organization and accessibility of learning materials.
AI Summary: Set up a Spring Boot application to create a basic API for ninja registration. This involves running a first program to verify the Spring Boot environment is correctly configured.
Uma API para cadastro de ninjas
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CadastroDeNinjas is an API designed for registering ninja profiles. It provides a streamlined solution for managing ninja data, offering features for creating, updating, and retrieving ninja information.
AI Summary: The task is to evaluate the feasibility and desirability of adding support for raw pointer types (e.g., `T*`, `void*`) to xUnit.net's assertion methods (`Assert.Equal`, `Assert.NotEqual`, `Assert.Null`, `Assert.NotNull`). This includes considering the implications of enabling unsafe code and the relatively uncommon use case. Additionally, the existing analyzer rule xUnit2024 needs to be addressed to provide a functional fixit.
xUnit.net is a free, open source, community-focused unit testing tool for .NET.
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xUnit.net is a free, open-source unit testing framework for .NET that addresses the need for robust and reliable testing within the .NET ecosystem. Its key features include a simple, extensible architecture and a focus on developer productivity through clear, concise test reporting.
AI Summary: The task is to debug and fix a bug in the Kotlin PartiQL library where `INTERVAL` data with `MINUTE TO SECOND` precision is incorrectly interpreted as `HOUR TO SECOND`. The fix involves correcting the `IntervalCode` assignment within the library's interval handling logic to accurately reflect the specified precision.
PartiQL libraries and tools in Kotlin.
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The partiql-lang-kotlin project provides Kotlin libraries and tools for working with PartiQL, a query language for accessing data across various sources. This allows developers to easily integrate PartiQL's powerful querying capabilities into their Kotlin applications, simplifying data access and manipulation.
AI Summary: Develop a backend API endpoint (/dashboard/progress) for a habit tracking app. This endpoint should return user progress metrics including active habits count, check-in days, current streak, and longest streak. The implementation requires creating necessary entities, repositories, DTOs, services, controllers, and comprehensive unit and integration tests. Swagger documentation is also expected.
App para monitorar hábitos e progresso pessoal.
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habit-tracker-back is a backend application designed to track personal habits and progress. It provides the necessary infrastructure for a user-friendly habit tracking app, allowing users to monitor their achievements and maintain motivation.
AI Summary: Standardize the layout of multiple pages in a Gochi Robocon tournament management system. The goal is to create a consistent look and feel across pages (excluding the match page) by unifying elements like title size and spacing. The best approach (matching the schedule or ranking pages) needs to be determined through experimentation.
ご当地ロボコン 大会運営支援システム
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kcmsx is a system designed to support the operation of the Gotouchi Robocon competition. It streamlines various aspects of the competition, likely including registration, scheduling, and scorekeeping, to improve efficiency and organization.
AI Summary: This task requires implementing a user interface (UI) and backend API to allow users to view and edit the MCP (Model Context Protocol) configuration file within the RetroRecon application. This involves creating API endpoints to read and write the configuration, validating user input, handling potential errors, and updating the UI to display and allow editing of the configuration parameters. The changes should be reflected in the application without requiring a restart. Thorough testing and documentation updates are also necessary.
retro:recon - retrocognition reconnaissance osint dashboard
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retrorecon is an OSINT dashboard designed to streamline the process of retrospective reconnaissance. It aims to improve efficiency in gathering and analyzing information by providing a centralized interface for various OSINT tools and data sources. Key features likely include data aggregation, visualization, and potentially automated analysis capabilities.
AI Summary: Implement support for JPEG image formats in addition to PNG for game backgrounds in the Luanti main menu. This involves modifying the game engine to handle JPEG decoding and potentially adding options to select image format and quality.
Luanti (formerly Minetest) is an open source voxel game-creation platform with easy modding and game creation
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Luanti is an open-source voxel game engine enabling users to easily create and modify games. Its key feature is a simple modding system allowing for extensive customization and creation of unique game experiences.
AI Summary: Address a single comment on a commit in the stdlib project's package.json file. The comment suggests changing 'Evaluates' to 'Evaluate'. This involves opening the commit, making the change, committing the change locally, pushing to a GitHub branch, 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: Improve Podman's error message when an invalid device mode is specified in a container's device mapping. The current error message is unhelpful; the improved message should include the problematic device mapping string and a clear explanation of the issue. This involves modifying Podman's error handling to provide more context in error messages, both for the API and CLI.
Podman: A tool for managing OCI containers and pods.
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Podman is a daemonless container engine that manages OCI containers and pods, providing a more secure and reliable alternative to Docker. Its key features include improved security through its daemonless architecture and support for managing pods, allowing for more complex container deployments.
AI Summary: Debug and fix the Android back button functionality on the web version of VibeTunnel (version 1.0.0-beta.9). The issue is that the back button is not working as expected.
Turn any browser into your terminal & command your agents on the go.
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Vibetunnel solves the problem of needing remote terminal access from any browser, allowing users to control their agents and systems on the go. Its key feature is transforming a standard web browser into a functional terminal interface for convenient remote management.
AI Summary: The task requires fixing a bug in the Apache Gravitino project's authorization code. The bug involves incorrect resolution of fileset locations; the code currently uses schema properties instead of catalog properties in certain conditions. The fix involves correcting a single line of code in `AuthorizationUtils.java` to use the correct `catalogObj` properties instead of `schema` properties.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Implement a verbosity setting for the `vt` command-line tool to control the level of logging output. The current logging is too verbose and needs to be configurable to allow for only errors and warnings to be displayed, improving the user experience.
Turn any browser into your terminal & command your agents on the go.
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Vibetunnel solves the problem of needing remote terminal access from any browser, allowing users to control their agents and systems on the go. Its key feature is transforming a standard web browser into a functional terminal interface for convenient remote management.
AI Summary: The task is to fix EditorConfig linting errors in the stdlib JavaScript project. This involves investigating the reported error (a GitHub API rate limit), potentially updating the linting workflow to handle rate limits, and correcting any underlying formatting issues identified by the linter.
✨ 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: Debug and fix an issue where touch events on mobile devices (specifically iOS Safari) are sometimes not recognized when the terminal is busy, likely due to performance bottlenecks or event handling conflicts within the VibeTunnel application. The fix is underway in a pull request, requiring testing and potential refinement.
Turn any browser into your terminal & command your agents on the go.
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Vibetunnel solves the problem of needing remote terminal access from any browser, allowing users to control their agents and systems on the go. Its key feature is transforming a standard web browser into a functional terminal interface for convenient remote management.
AI Summary: The task is to debug a discrepancy between Podman and Docker's `ancestor` filter in `ps` command. The Podman filter requires the full image digest for a match, unlike Docker which accepts substrings. The solution involves investigating the code change introduced in Podman commit #10066 to identify and correct the behavior mismatch, ensuring consistency with Docker's functionality.
Podman: A tool for managing OCI containers and pods.
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Podman is a daemonless container engine that manages OCI containers and pods, providing a more secure and reliable alternative to Docker. Its key features include improved security through its daemonless architecture and support for managing pods, allowing for more complex container deployments.
AI Summary: Integrate OpenAI's Whisper API into VibeTunnel's mobile interface to enable voice-to-text input for improved typing experience. This involves adding a button to trigger Whisper, handling API key input via settings, and integrating the transcription results into the terminal input field. Initial implementation can be BYOK (Bring Your Own Key).
Turn any browser into your terminal & command your agents on the go.
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Vibetunnel solves the problem of needing remote terminal access from any browser, allowing users to control their agents and systems on the go. Its key feature is transforming a standard web browser into a functional terminal interface for convenient remote management.
AI Summary: Improve the user interface (UI) of the Scoutradioz web application to enhance navigation and usability. This involves redesigning menus and buttons based on principles like Hick's Law and Fitt's Law to make it easier for users to find and use the app's features.
Scoutradioz, a multi-team FRC scouting app developed by The Gearheads. Designed for and running on Amazon Web Services.
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Scoutradioz is a multi-team FRC scouting application built by The Gearheads and hosted on AWS. It streamlines the scouting process for FIRST Robotics Competition teams by providing a centralized platform for data collection and analysis, improving team strategy and performance.
AI Summary: Create a short GIF (5-10 seconds, ~1MB) demonstrating the interactive mode of the `ggc` Git CLI tool. The GIF should show command selection, navigation, and execution, and be added to the project's README.md near the Overview or Usage section.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: Initialize all boolean fields within the `VariableDeclaration` and `FunctionDeclaration` nodes of the Abstract Syntax Tree (AST) to prevent undefined behavior. This involves reviewing the AST node definitions and adding appropriate initialization to the boolean members.
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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.
AI Summary: The task involves fixing a bug in a Swift iOS app where Toast messages displayed from a UITableViewController are not visible when the table is scrolled. The issue stems from using the wrong view context for displaying the Toast. The solution requires changing the `makeToast` call to use the navigation controller's view instead of the table view controller's view.
여행 관련 미니 프로젝트입니다.
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Tripple is a mini-project focused on travel, addressing the need for a streamlined travel planning experience. While specifics are undefined, it likely aims to simplify aspects of trip organization and management.
AI Summary: Create a comprehensive bash test suite for the Jank language's module loader, covering various loading and reloading scenarios, including edge cases. This involves planning the tests, writing the bash scripts, and executing them to ensure the module loader functions correctly.
The native Clojure dialect hosted on LLVM with seamless C++ interop.
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Jank is a Clojure dialect compiled to LLVM, addressing the performance limitations of traditional JVM-based Clojure. Its key feature is seamless interoperability with C++, enabling high-performance computation and access to existing C++ libraries.
AI Summary: Implement click-to-focus window functionality in the Miracle Wayland compositor. This involves modifying the existing window management logic to prioritize a click event over a hover event for focusing windows, potentially requiring changes to event handling and window state management.
Miracle is a Wayland tiling window manager built on Mir
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Miracle-wm is a Wayland tiling window manager leveraging the Mir compositor. It aims to provide a fast and efficient window management experience, focusing on tiling layouts for improved productivity.
AI Summary: The task involves replicating the functionality of a legacy Geomorphic Change Detection (GCD) software's internal help system redirection using a new system (Docusaurus). This requires analyzing existing URL redirects defined in a YAML configuration file and implementing equivalent routing or redirection logic within the Docusaurus framework. The goal is to maintain the same user experience when accessing help documentation from within the GCD software.
Geomorphic Change Detection For Windows
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The gcd project, Geomorphic Change Detection For Windows, addresses the need for efficient geomorphic change analysis on Windows systems. It likely provides tools and features for comparing geospatial data over time to identify changes in landforms and features.
AI Summary: The task requires fixing a bug in the Delta Lake Kernel component. The bug causes an exception when a staged commit file is renamed during pagination, specifically when a file's name changes from a format including a UUID to a simpler format (e.g., 9.uuid.json to 9.json). The solution involves modifying the log segment validation to correctly handle this type of file renaming without throwing an exception.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
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Delta Lake is an open-source storage layer that solves the challenges of managing large datasets in data lakes by providing ACID transactions, schema enforcement, and data versioning. It integrates seamlessly with various compute engines like Spark, PrestoDB, and Flink, enabling efficient data processing and analysis within a Lakehouse architecture.
AI Summary: The user is experiencing a compilation error related to a missing haxelib (discord_rpc) when building the Universe Engine for Windows x64. Despite installing the library, the compiler still reports it as missing. The issue likely stems from a problem with the Haxelib installation or path configuration, potentially related to the user's concurrent work on modifying the Discord RPC functionality for a mod.
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Universe-Engine is a project whose purpose and features are currently undefined due to missing project description and README. Therefore, no specific problem it solves or key features can be summarized.
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OmniSphereHub 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 a concise and practical cheatsheet for the `manim` command-line tool, focusing on common use cases for generating math animations. The cheatsheet should be in Markdown format and suitable for inclusion in the tldr-pages project.
📚 Collaborative cheatsheets for console commands
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tldr is a collaborative project that addresses the problem of remembering console commands by creating and sharing easily accessible cheatsheets. Key features include collaborative editing and a focus on providing concise, readily usable command summaries.
AI Summary: Implement a browser window blur event handler for Zulip's compose box to automatically save any in-progress draft message before the window loses focus. This prevents data loss if the browser tab is closed or the user's session expires unexpectedly.
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: Debug and fix random flickering during scrolling in the TriOS Starsector mod manager application. The issue appears to be unrelated to terminal output, suggesting a problem within the application's UI rendering or interaction with the underlying graphics system. Debugging will likely involve examining the Flutter codebase, potentially focusing on widgets related to scrolling and UI updates.
Starsector mod manager & toolkit.
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TriOS is a Starsector mod manager and toolkit designed to simplify the process of installing, updating, and managing mods for the Starsector space-exploration game. It streamlines mod integration and provides tools to enhance the modding experience, offering features such as automated updates and dependency management.
AI Summary: Debug and fix a crash occurring in the TriOS Starsector mod manager upon exit. The crash is indicated by an EGL context error and a SIGABRT signal, suggesting a problem with the graphical user interface (GUI) library or its interaction with the underlying graphics system. The solution likely involves investigating the GUI code (potentially using a debugger) to identify the source of the assertion failure within the `epoxy_get_proc_address` function.
Starsector mod manager & toolkit.
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TriOS is a Starsector mod manager and toolkit designed to simplify the process of installing, updating, and managing mods for the Starsector space-exploration game. It streamlines mod integration and provides tools to enhance the modding experience, offering features such as automated updates and dependency management.
AI Summary: Implement the `views::scan` and `views::partial_sum` views for C++29 as part of the Beman Project. This involves creating efficient and standard-compliant implementations based on existing C++ papers and integrating them into the Beman library.
Organization, documentation, etc. for the Beman Project,
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The beman project addresses the need for organized documentation and management of its own internal workings. Key features likely include tools and systems for tracking progress, managing resources, and maintaining comprehensive documentation.
AI Summary: Debug a failing test in the Mooncake.jl Julia autograd compiler. The `control_flow_graph` test within `bbcode.jl` is failing on Julia 1.11.6, specifically a comparison of sorted predecessor lists (`preds`) between two control flow graphs (`ir.cfg.blocks` and `cfg.blocks`). The task involves investigating the discrepancy between these graphs, potentially examining the intermediate representation (IR) generation or the control flow graph construction process within the compiler.
Implementation of language-level autograd compiler for Julia
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Mooncake.jl is a Julia package implementing a language-level automatic differentiation (autograd) compiler. It solves the problem of efficiently computing gradients for complex Julia programs, enabling faster development and optimization of machine learning models and other gradient-based algorithms.
AI Summary: The task is to debug and fix a Roslyn analyzer (IDE0251) that incorrectly flags methods as potentially `readonly` when they utilize implicit conversions to `Span<T>` from `InlineArray` types. The analyzer fails to correctly track the mutable reference through the implicit conversion, leading to false positives. The fix requires understanding Roslyn's code analysis APIs and the intricacies of `Span<T>` and `InlineArray` types.
The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.
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Roslyn is a .NET compiler that offers powerful code analysis APIs for C# and Visual Basic. It solves the problem of limited access to compiler information by providing developers with rich tools for code understanding, refactoring, and analysis, enabling advanced tooling and improved developer productivity.
AI Summary: Rename the executable file from "snub.exe" to "rq.exe" and update the help text within the application to reflect the new name "rq". This involves modifying the build process and the code responsible for displaying the help message.
Command-line file search utility for Windows
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rq is a command-line tool for Windows that quickly searches files based on specified criteria. It solves the problem of inefficient manual file searching by providing a fast and flexible interface for locating files across drives and folders.
AI Summary: The task involves migrating the Peggy project's build process from a combination of Terser, Rollup, and TSC to the tsup build tool. This requires removing the existing build tools, integrating tsup, and ensuring the project continues to build and function correctly.
Peggy: Parser generator for JavaScript
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Peggy is a parser generator for JavaScript, solving the problem of manually creating parsers for complex grammars. It simplifies the process by allowing developers to define grammars declaratively, generating efficient and robust JavaScript parsers automatically.
AI Summary: Create new plotting functions within ClimaAnalysis.jl that leverage Makie and GeoMakie directly, rather than acting as simple wrappers. These functions should provide plotting primitives for common visualization needs in climate modeling, offering a more streamlined and potentially more performant alternative to the existing wrapper functions.
An analysis library for ClimaDiagnostics (and, more generally, NetCDF files)
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ClimaAnalysis.jl is a Julia library designed to simplify the analysis of climate data stored in NetCDF files, particularly those generated by ClimaDiagnostics. It provides tools for efficient data manipulation, calculation of key statistics, and visualization, streamlining the process of extracting insights from large climate datasets.
AI Summary: Implement an `ObsDir` structure in ClimaAnalysis.jl, mirroring the existing `SimDir` functionality, to handle observational data. This involves creating a constructor that allows specifying short filenames, `get`, `isempty`, `summary`, and `show` methods. Consider adding optional caching for efficiency and potentially a preprocessing function to handle date adjustments.
An analysis library for ClimaDiagnostics (and, more generally, NetCDF files)
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ClimaAnalysis.jl is a Julia library designed to simplify the analysis of climate data stored in NetCDF files, particularly those generated by ClimaDiagnostics. It provides tools for efficient data manipulation, calculation of key statistics, and visualization, streamlining the process of extracting insights from large climate datasets.
AI Summary: Implement a mutating version of the `rearrange` function in Einops.jl, leveraging Julia's `permutedims!` function for in-place array manipulation. This involves modifying the existing `rearrange` function or creating a new `rearrange!` function that performs the same operation but modifies the input array directly instead of creating a copy.
Einops, now in Julia
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Einops.jl brings the powerful Einops library to the Julia programming language. It simplifies array manipulation and reshaping, solving the problem of complex and error-prone manual reshaping operations by providing a concise and readable syntax for various tensor transformations.
AI Summary: Implement support for right-to-left (RTL) text alignment in the Cline chat interface for languages like Arabic and Hebrew. This involves adding a setting to enable RTL alignment and adjusting the display to accommodate RTL text direction, ensuring proper sentence order even when mixed with left-to-right languages.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
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Cline is an autonomous coding agent that lives within your IDE, streamlining workflows by automating tasks like file creation and editing, command execution, and browser interactions. It operates with user permission at every step, ensuring safety and control.
AI Summary: Implement a new `BeInRange` assertion function for the Go assertion library 'Should'. This function should check if a numeric value falls within a specified range (inclusive), providing detailed error messages indicating whether the value is above or below the range and by how much. The implementation should leverage existing functional options for custom error messages and maintain type safety using generics.
Fluent and expressive assertions for Go. Make your tests readable, elegant, and easy to debug.
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The `should` project provides a fluent assertion library for Go, enhancing the readability and debuggability of tests. It offers expressive syntax, making test code cleaner and easier to understand, improving developer productivity and reducing maintenance overhead.
AI Summary: Break down issue #13 into smaller, more manageable sub-issues to improve project organization and documentation for the GitCord project, a Discord bot managing server configurations via Git.
Manage your discord's channel and role structure and roles via Git
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Gitcord streamlines Discord server management by allowing administrators to define and manage channel and role structures using Git repositories. This approach enables version control, collaboration, and easy rollback of changes, solving the problem of complex and error-prone manual server configuration.
AI Summary: The task is to replace the existing method of interacting with Git repositories within the Gitingest Python package (which currently uses shell commands) with a dedicated Python Git library. This aims to improve safety, code cleanliness, and maintainability. The implementation should be done within the PyPI package, and the contributor has expressed confidence in completing the task independently.
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
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gitingest simplifies codebase exploration by replacing 'hub' with 'ingest' in GitHub URLs. This provides a user-friendly, prompt-based interface for extracting code snippets, making it easier to quickly access and understand code from various repositories.
AI Summary: The issue is a bug report with minimal information. The reporter needs to provide more details about the bug, including reproduction steps, OpenHands version, model name, operating system, logs, errors, screenshots, or any other relevant context to help diagnose and fix the problem. Essentially, the task is to help the reporter improve their bug report to make it actionable.
🙌 OpenHands: Code Less, Make More
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OpenHands aims to simplify software development by reducing the amount of code required. Its key features focus on streamlining common tasks and providing intuitive tools to accelerate the development process, allowing developers to achieve more with less effort.
AI Summary: The task is to fix a bug in a dotfiles repository's `/close-issue` workflow that results in empty pull requests. The fix involves adding a clear instruction within the workflow's documentation (a Claude Code command template) to ensure the AI assistant uses the correct working directory (a git worktree) when creating files, preventing files from being created in the wrong location. This involves modifying a markdown file to explicitly state that all file operations must use absolute paths prefixed with the worktree directory.
My personal dotfiles configuration
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This project, 'dotfiles', manages my personal system configurations. It streamlines setup across different machines by automating the configuration of essential tools and settings, ensuring consistency and efficiency.
AI Summary: The user is encountering an error while updating a collecting event in the Arctos database. The error message suggests a problem with coordinate conversion within a database trigger, not directly related to the date changes. The task involves investigating the error message, determining the root cause (likely an issue with existing coordinate data), and potentially advising the user on solutions such as creating a new locality and collecting event, or directly addressing the coordinate data issue within the database.
Arctos is a museum collections management system
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Arctos is a museum collections management system designed to streamline the organization and access of museum artifacts. Key features include cataloging, data management, and improved accessibility for researchers and the public.
AI Summary: Add player count display to the pregame lobby of a game. The count should be visually prominent, located next to the existing "Players in game" text, improving user experience by providing a quick visual confirmation of the number of players.
A repo to hold my personal website files. Check it out at joanchirinos.com !
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PersonalWebsite is a project hosting a personal website at joanchirinos.com. It solves the problem of needing a central location to showcase online presence and personal projects. Key features include a user-friendly design and potentially custom content tailored to the owner's needs.
AI Summary: The task requires implementing a complete CMake build system for the Swift Subprocess package. This will allow it to be integrated as a dependency within SwiftBuild and Swift Package Manager projects, improving its usability and accessibility. The implementation should follow the patterns established in similar projects like apple/swift-system or swiftlang/swift-toolchain-sqlite.
Subprocess is a cross-platform package for spawning processes in Swift.
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swift-subprocess is a cross-platform Swift package designed to simplify the process of launching and managing external processes. It addresses the challenge of consistent subprocess execution across different operating systems, providing a unified API for developers.
AI Summary: The task is to determine the fields returned by the `cf_getLoanFormInfo` ColdFusion custom tag used in the Arctos museum collections management system's loan reports. This information is needed to update UWBM loan reports. The requestor needs a list of these fields.
Arctos is a museum collections management system
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Arctos is a museum collections management system designed to streamline the organization and access of museum artifacts. Key features include cataloging, data management, and improved accessibility for researchers and the public.
AI Summary: Debug a mobile-specific authentication issue in a Next.js/Express.js application where users, after successful login via a company website, are incorrectly redirected to an 'unauthorized' page. The problem likely stems from improper local storage of authentication tokens or incorrect global state updates on mobile devices. The solution involves investigating local storage mechanisms, global state management (likely React Context or a similar solution), and potentially cross-domain issues, adding logging to pinpoint the failure point.
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The project 'cautious-robot' 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 a hyperlink to the Terms and Conditions page on the Contact Us page of the Saayam web application. The link should be placed below the submit button.
Contains only the web releated React code
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The `webapp` project is a React-based web application. It focuses solely on the front-end components and functionality, providing a clean separation of concerns for web development.
AI Summary: Debug and fix a bug where the "Register for webinar" button is incorrectly displayed in the thread of an admin room within the Expensify chat application. The bug is reproducible on Windows Chrome and potentially other platforms. The solution requires investigating the application's logic for displaying this button, identifying the condition causing its inappropriate appearance in admin room threads, and implementing a fix to prevent its display in this context.
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 a Django login API endpoint that's failing to authenticate users using email addresses. The current authentication method uses `authenticate` with email and password, but it's not returning a user object. The project uses Knox for authentication, and the issue likely lies in how email is handled within the authentication process or a misconfiguration in the user model or authentication backend.
Communitary platform to learning technology
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Communitech is a community platform focused on educational technology, addressing the need for collaborative learning and resource sharing. Key features would likely include tools for communication, content sharing, and potentially project collaboration within an educational context.
AI Summary: Break down the remaining tasks for the recommendation system project into smaller, more manageable sub-tasks, each focused on a specific problem or feature. These sub-tasks will then be assigned to separate development branches for parallel development and better version control.
Implementation of a recommendation system to improve marketing and help employees offer personalized services to customers.
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The team-project.star-bank project implements a recommendation system to address the problem of providing personalized customer service and targeted marketing. Key features include improved customer experience through personalized offers and enhanced employee efficiency in offering relevant services.
AI Summary: Troubleshoot and resolve issues with Tesseract OCR within the `beartell/api/minio_storage.py` file. This involves understanding how Tesseract is integrated into the Python code and debugging any problems related to text extraction from images.
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This project, AI-assistance, lacks a defined description and README, preventing a detailed summary. Therefore, no specific problem or features can be identified at this time.
AI Summary: Create a new documentation page for MikroORM demonstrating its usage within a Next.js application. The page should cover common integration challenges and provide solutions, drawing examples from existing issues and discussions. It should be added to the 'Recipes' section of the existing documentation.
TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
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mikro-orm is a TypeScript Object-Relational Mapper (ORM) for Node.js that simplifies database interactions. It utilizes Data Mapper, Unit of Work, and Identity Map patterns for efficient data management and supports multiple database systems including MongoDB, MySQL, PostgreSQL, and more.
AI Summary: The user is seeking a way to parallelize the dumping of a large (600GB) table within a MySQL database using MyDumper, aiming to improve the overall backup time. They are currently experiencing a bottleneck where only one thread is used for this large table, despite specifying multiple threads. The question is whether adjusting the `--rows` parameter or other MyDumper options can achieve parallel processing for this specific table.
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: The user needs help configuring the `ui5-middleware-approuter` to support local testing of a UI5 application that uses multiple destinations, each secured by its own xsuaa instance. The current setup results in a 'No UAA service found' error. The task involves troubleshooting the configuration of `default-env.json` and `xs-app.json` to correctly integrate multiple xsuaa instances with the `@sap/approuter` within the local development environment.
A repository showcasing the UI5 tooling extensibility to combine OSS tools for UI5 application development.
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The ui5-ecosystem-showcase project demonstrates how to extend UI5 development by integrating open-source tools. It highlights the flexibility and extensibility of the UI5 tooling ecosystem, showcasing practical examples of combined tool usage for improved developer workflows.
AI Summary: Integrate a 'Confirm Setup' button in a React frontend to deploy a multisig account using a connected wallet and the `deploy_account()` smart contract function. Handle successful deployment (saving account details, routing to /dapp, showing success toast), and various error scenarios (wallet not connected, transaction rejected, contract failure) with appropriate UI feedback (modals, loading spinner).
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 perform practical testing of the 'borg' importer within the borg-import tool. This involves importing backups from a source Borg 1.x repository into a new Borg 1.x repository, verifying the process's correctness and identifying any potential issues. The testing should go beyond the existing automated tests to cover a wider range of scenarios and edge cases.
import backups into a borgbackup repository
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borg-import facilitates importing backups into a borgbackup repository, addressing the challenge of consolidating backups from disparate sources. Key features include streamlined import processes and compatibility with various backup formats (though specifics aren't detailed in the provided information).
AI Summary: Debug and fix a bug in the PokéClassic ROM hack where the Knock Off move permanently removes held items from Pokémon, preventing their return to the bag. This requires examining the game's code, identifying the source of the error in the Knock Off move's implementation, and correcting it to ensure held items are properly returned to the player's bag after the move is used.
PokeClassic is a romhack inspired by Pokemon Yellow, using the Pokemon Emerald Engine. This romhack was originally made by danenders. This fork is made with the intention to fix the unresolved known issues from the now archived original repository.
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PokeClassic is a Pokemon ROM hack based on Pokemon Yellow but utilizing the Emerald engine. This project is a fork aiming to resolve outstanding bugs and improve upon the original, now-archived version.
AI Summary: Implement the __getitem__ method for Daft Series objects to enable slicing functionality (e.g., Series[start:end]). This will allow users to easily select subsets of data within a Series, similar to how it works in Python lists or Pandas Series.
Distributed query engine providing simple and reliable data processing for any modality and scale
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Daft is a distributed query engine designed to simplify and reliably process data of any type and size. Its key features include ease of use and scalability, enabling efficient data processing across diverse modalities.
AI Summary: Develop a comprehensive transaction page for the Spherre Protocol, displaying all transaction types (token, NFT, membership changes, permission edits, smart locks) with functionality to approve, reject, and execute transactions. The page should include robust error handling, filtering, sorting, pagination, and clear status indicators. Integration with existing frontend and backend components is required.
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: Investigate and resolve a CI failure on the master branch. This involves reviewing workflow logs, reproducing the issue locally, analyzing recent code changes, and implementing a fix. The failure is indicated by the `TEST_RESULTS` environment variable.
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Insufficient information provided to summarize the batistack2 project. The description and README are missing, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: Develop the backend logic for the Uvarsity platform based on the specifications outlined in the `task.md` file. This involves creating microservices using Node.js, NestJS, and PostgreSQL, aligning with the existing architecture and functionality of the platform.
main platform codebase
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uvarsity-platform is the core codebase for a university platform, addressing the need for a centralized system to manage various university functions. While specifics are undefined, it likely provides features for student management, course administration, and other essential university operations.
AI Summary: Complete the landing page for the Uvarsity platform using the provided React + Tailwind frontend codebase. The goal is to create a functional and visually appealing page that accurately reflects the platform's mission and features as described in the project README.
main platform codebase
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uvarsity-platform is the core codebase for a university platform, addressing the need for a centralized system to manage various university functions. While specifics are undefined, it likely provides features for student management, course administration, and other essential university operations.
AI Summary: The QuteFuzz project needs modification to support generating circuits with zero external qubits. This requires updating the internal logic to handle cases where `num_external_qubits` is 0, affecting graph drawing, qubit entanglement choices, and random qubit selection. The goal is to enable proper generation of 'guppy' circuits, which are main() circuits and cannot contain external qubits.
A re-write of the first version aiming for scalability, configurability, and better circuit generation
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QuteFuzz2.0 is a rewritten fuzzing tool designed to address scalability and configurability limitations of its predecessor. Key improvements include enhanced circuit generation capabilities, allowing for more efficient and effective fuzzing of complex systems.
AI Summary: Add a new `event_date_ends` field to the existing Hugo website's data model to support events with date ranges. Update existing events with date ranges using the new field. This involves modifying the Hugo project's data structure and potentially updating the website's templates to handle both single-date and date-range events.
Static website for the Django 20 years birthday home [unreleased]
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birthday20 is a static website celebrating the 20th anniversary of Django. It serves as a commemorative site, showcasing Django's history and impact, without requiring a dynamic backend.
AI Summary: Determine if the Flexiv RDK (Robotic Development Kit) provides functionality to pause and resume the execution of a robotic primitive. This involves reviewing the provided documentation and potentially experimenting with the RDK's Python or C++ APIs to find methods for pausing and resuming robot actions.
Robotic Development Kit (RDK) for Flexiv robots. Supports C++ and Python. Compatible with Linux, macOS, and Windows.
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The flexiv_rdk is a Robotic Development Kit (RDK) enabling easier programming and control of Flexiv robots. It offers cross-platform support (Linux, macOS, Windows) and utilizes both C++ and Python for versatile development.
AI Summary: The task is to fix a bug in the PartiQL Kotlin library where negative INTERVAL literals are not correctly parsed and handled during the AST to plan conversion. The issue is identified as an `IllegalStateException` occurring within the `IntervalUtils` class. The solution involves modifying the interval parsing and handling logic to accommodate positive and negative signs before the interval value.
PartiQL libraries and tools in Kotlin.
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The partiql-lang-kotlin project provides Kotlin libraries and tools for working with PartiQL, a query language for accessing data across various sources. This allows developers to easily integrate PartiQL's powerful querying capabilities into their Kotlin applications, simplifying data access and manipulation.
AI Summary: The QGIS website's case studies page needs to be updated to display the studies in reverse chronological order (newest first). This likely involves modifying the Hugo template or data fetching/sorting logic to order the case studies by their date.
Official Website for QGIS.org
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The QGIS-Website project maintains the official website for QGIS (qgis.org), providing a central hub for users to access documentation, download the software, engage with the community, and learn about the powerful open-source GIS application. Key features include comprehensive documentation, download links, news updates, and community forums.
AI Summary: Investigate Obsidian's Bases feature to determine its suitability for managing citations within the context of the 'Cite Wide' Obsidian plugin. The goal is to explore how Bases can be leveraged to store and manage the unique hex-codes and their corresponding reference information generated by the plugin, ensuring consistent citation management across the entire Obsidian vault.
An Obsidian plugin for rigorous, vault-wide citation management. Converts numeric footnotes into unique hex-codes, logs unique hex codes and their reference information into a base, assures consistent hex codes per reference.
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cite-wide is an Obsidian plugin streamlining citation management across an entire vault. It replaces numeric footnotes with unique hex codes, tracks these codes and their associated references in a central database, ensuring consistent citation formatting throughout the vault.
AI Summary: Debug and fix a bug in the PokéClassic ROM hack where the Ability Capsule item does not change Pokémon abilities as intended. This involves investigating why the ability isn't changing (possibly due to missing secondary abilities or lack of rare ability functionality) and implementing a solution. Testing on the pre-release version (v1.4.5.1) is encouraged.
PokeClassic is a romhack inspired by Pokemon Yellow, using the Pokemon Emerald Engine. This romhack was originally made by danenders. This fork is made with the intention to fix the unresolved known issues from the now archived original repository.
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PokeClassic is a Pokemon ROM hack based on Pokemon Yellow but utilizing the Emerald engine. This project is a fork aiming to resolve outstanding bugs and improve upon the original, now-archived version.
AI Summary: The task is to implement a Makefile target for releasing Helm charts for the kgateway project. This involves creating a `release-charts` target that depends on two other targets: `release-kgateway-chart` and `release-kgateway-crds-chart`. The goal is to automate the release process for the Helm charts, addressing a TODO item in the project's release workflow.
The Cloud-Native API Gateway and AI Gateway
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kgateway is a cloud-native API gateway that also functions as an AI gateway, solving the challenges of managing and securing APIs while enabling seamless integration of AI capabilities. Key features include cloud-native architecture, robust security, and simplified AI model deployment and management.
AI Summary: Migrate DailySAT's question retrieval from the Bluebook API to a custom, internally managed MongoDB database. This involves designing and implementing a system for storing and retrieving SAT questions from a diverse range of sources, ensuring originality and independence from external APIs. The task includes creating the database schema, data migration tools, and updating the application's backend to use the new database.
SAT made easy and free!
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DailySAT is a free resource designed to simplify SAT preparation. It offers convenient access to practice materials and resources, aiming to improve students' scores and reduce the stress associated with test preparation.
AI Summary: The task is to modify the kgateway project's helmutils package to allow using the Go tool's helm equivalent instead of hardcoding the path to the helm executable. This involves updating the `client.go` file to leverage the Go tool's helm functionality, ensuring compatibility with Go 1.24 and the tools meta pattern.
The Cloud-Native API Gateway and AI Gateway
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kgateway is a cloud-native API gateway that also functions as an AI gateway, solving the challenges of managing and securing APIs while enabling seamless integration of AI capabilities. Key features include cloud-native architecture, robust security, and simplified AI model deployment and management.
AI Summary: Refactor the `GetLocalChartPath` helper function in the kgateway project to avoid hardcoding the test assertion directory. The current implementation breaks when the Makefile variable pointing to the directory is overridden, requiring a solution that dynamically determines or injects the correct path.
The Cloud-Native API Gateway and AI Gateway
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kgateway is a cloud-native API gateway that also functions as an AI gateway, solving the challenges of managing and securing APIs while enabling seamless integration of AI capabilities. Key features include cloud-native architecture, robust security, and simplified AI model deployment and management.
AI Summary: Enhance the Envoy Gateway's SecurityPolicy CRD to include `cacheDuration` and `asyncFetch` fields within the `remoteJWKS` configuration for improved JWKS caching management. This will allow users to control the cache time-to-live (TTL) and enable asynchronous background JWKS refresh, enhancing resilience during key rollover scenarios.
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: Debug and fix two reported bugs in the Quantum Mechanical Keyboard Wireless Fork firmware related to RGB lighting behavior when using USB mode and the FN key. The bugs involve inconsistent RGB display and unintended RGB shutoff.
Open-source keyboard firmware for Atmel AVR and Arm USB families
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qmk_firmware is an open-source keyboard firmware that solves the problem of limited customization in pre-built keyboards. It supports Atmel AVR and Arm USB families, offering extensive configurability for key layouts, macros, and advanced features through a user-friendly configuration system.
AI Summary: This task involves retrofitting existing gameplay systems (player placement, timing, countdown, post-race, and kart model syncing) for multiplayer functionality in a Unity project. Additional features to improve multiplayer understanding, such as displaying kart and map selections, are also required. Finally, special cases like host migration, player disconnects, and version verification need to be addressed.
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This project, UnityProject, 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: Manually test all core features of the AWDHAUS Maestro CLI tool locally, including Node.js version management, global package installation and updates, cleanup utilities, health checks, the Maestro Concierge, and the uninstall process. Document any bugs, unexpected behavior, or areas for improvement.
Maestro is a toolkit designed to help you manage your development environment, and keep tools up to date. It's a single command tool that will help you install, update, and remove tools, and keep your environment clean and optimized. Tools included are: Node.js, PNPM, NPM, NVM, NCU and global installs.
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awdhaus-maestro simplifies development environment management by providing a single command-line tool to install, update, and remove essential tools like Node.js, PNPM, NPM, NVM, and NCU, ensuring a clean and optimized workspace.
AI Summary: Restore the comment tree line display in the Lobsters Rails application to its pre-April 15th state by reviewing the project's Git history on archive.org/git to identify the correct layout. This involves analyzing the code changes introduced in commit b2965a6da73fbdc6785bf56cdb2adc7c7aba8a2d and subsequent improvements in #1639 to understand the regression and reverse it.
Computing-focused community centered around link aggregation and discussion
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Lobsters is a community-driven website focused on aggregating and discussing technology-related links. It solves the problem of finding high-quality, insightful content by leveraging community curation and discussion to filter and highlight valuable resources.
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The Capstone-1-Backend project lacks a provided description or README, making a detailed summary impossible. Therefore, no specific problem solved or key features can be identified without further information.
AI Summary: Implement a user interface for depositing ERC20 tokens into a multisig Spherre account. This involves fetching token balances, handling user approvals and transfers via the `approve()` and `transfer_from()` functions of the IERC20 standard, managing various error conditions (insufficient balance, transaction failures, user rejection), and updating the UI to reflect successful deposits. The frontend will interact with smart contracts and needs to cache token names and symbols.
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: Implement parsing of sets within syntax quotes in the Jank compiler. This involves completing the `nyi: set` portion of the `jank::read::parse::processor::syntax_quote` function, ensuring consistency with how other collections are handled.
The native Clojure dialect hosted on LLVM with seamless C++ interop.
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Jank is a Clojure dialect compiled to LLVM, addressing the performance limitations of traditional JVM-based Clojure. Its key feature is seamless interoperability with C++, enabling high-performance computation and access to existing C++ libraries.
AI Summary: The issue describes a problem with the `SET` data type in Dolt (a Git-like system for data) where casting to `char` or `binary` types is not working correctly. The task requires investigating and fixing this casting issue, likely involving debugging the Dolt codebase and writing/running tests to ensure the fix is correct. Tests were previously skipped in a related issue (dolthub/go-mysql-server#3095), suggesting a need to address this omission as well.
Dolt – Git for Data
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Dolt is a version control system for data, solving the problem of managing and tracking changes to datasets over time. Its key features include branching, merging, and commit history, allowing for collaborative data management and reproducible analyses similar to Git's functionality for code.
AI Summary: The Meshery schemas build script is failing due to directory creation and removal issues. The task requires debugging the `merge-openapi-specs.sh` script to correctly create and delete the temporary directory `./openapi/schemas/temp_schema_bundle` used during the OpenAPI schema merging process. This involves examining the script's logic, potentially adjusting file permissions, and ensuring proper error handling.
Logical object models for Meshery
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The 'schemas' project defines logical object models for Meshery, providing a standardized representation of its data structures. This ensures consistency and interoperability across different Meshery components and facilitates easier integration with external systems.
AI Summary: Add trust and ethos indicators to the Hybrid Classical virtual conducting system interface. This involves displaying a message emphasizing the app's free, non-commercial nature and lack of tracking, adding a visible version number, and optionally including a last updated date. These additions aim to build user trust and reinforce the project's artistic values.
Virtual Conducting System
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hybridclassical is a virtual conducting system that aims to improve the rehearsal and performance process for musical ensembles. It offers a novel approach to conducting, potentially enhancing communication and precision through digital tools and visualizations.
AI Summary: Debug and fix a touch input issue in a Stoneshard talent calculator web application. The issue manifests as difficulty selecting abilities on Samsung S22 devices using Chrome and Opera browsers, requiring extremely precise touch locations. The fix needs to improve the touch target areas for better usability on mobile devices, ensuring consistent behavior across desktop and mobile versions.
A talent calculator for the game Stoneshard
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The stoneshard-talent-calculator is a tool designed to help players of the game Stoneshard optimize their character builds. It allows users to easily visualize and plan talent allocations, streamlining the process of creating effective and customized characters.
AI Summary: Improve the `kli vc create` command to handle an empty schema argument gracefully. Instead of raising a cryptic KeyError due to an underlying LMDB error, the command should return a user-friendly error message indicating that a schema is required.
Key Event Receipt Infrastructure - the spec and implementation of the KERI protocol
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KERIpy implements the KERI protocol, solving the problem of secure, verifiable data provenance and identity management. Key features include decentralized identity, verifiable data streams, and robust cryptographic security.
AI Summary: Verify the correctness and efficiency of a static Sudoku generator implemented using Ruben's algorithm. This includes reviewing the provided code and potentially improving it (e.g., adding rotation functionality).
This a fun personal project developed in the weekend, you can check the procedural code made by me, and the images for greater context
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StaticSudokuGen is a weekend project that generates static Sudoku puzzles. It uses procedural code to create solvable puzzles, providing both the code and visual examples for better understanding.
AI Summary: The task involves reviewing and potentially consulting on a Zola-based website for Brisbane Social Chess. The project uses JavaScript and Cloudflare. Candidates should ideally be located in Brisbane, Australia, and have experience with web development, cloud architecture, and databases. Expressing interest requires commenting on the issue and providing links to chess profiles.
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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 about the website brisbanesocialchess.github.io.
AI Summary: Implement a dashboard displaying user's Spherre account information, including ERC20 token balances, NFT holdings, multisig details (member count and threshold). This involves fetching data from various smart contracts (SpherreAccount, IERC20, ITreasuryHandler, IAccountData) using provided functions, handling potential errors gracefully, and integrating the data into existing UI components.
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: Refactor the `AuthScreens.tsx` component in the Expensify app to use the `useOnyx` hook instead of the `withOnyx` higher-order component. This involves migrating existing code to utilize the newer hook-based approach for managing Onyx data. Thorough testing is required, and prior attempts at this refactoring should be reviewed for context.
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 a Roslyn compiler issue where implementing an interface with a member referencing a type from a globally imported namespace adds an unexpected empty line to the beginning of the generated file. The issue needs to be reproduced using the provided reproduction project and the root cause identified and fixed within the Roslyn compiler codebase.
The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.
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Roslyn is a .NET compiler that offers powerful code analysis APIs for C# and Visual Basic. It solves the problem of limited access to compiler information by providing developers with rich tools for code understanding, refactoring, and analysis, enabling advanced tooling and improved developer productivity.
AI Summary: Implement a feature in the Vira project to display the total time taken for a job to complete. This involves adding the functionality to track job execution time and then displaying this information in the user interface. The project uses Haskell, HTMX, and Acid-State.
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Insufficient information provided to summarize the project 'vira'. The description and README are undefined, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: The task involves creating compact and functional code for visualizations related to the New Mexican School (NEM) project, focusing on data from its inception (2019) to its development (2025). The goal is to simplify the code while maintaining functionality.
Evidencia
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NEMexicana is a project whose purpose is not clearly defined due to missing information. Without access to the project's code, documentation, or further context (beyond 'Evidencia' in the description), a more specific summary cannot be provided.
AI Summary: Implement a speech filter module in the Discord voice status updater Python script to sanitize user voice input before updating the Discord custom status. This filter should prevent potentially offensive or inappropriate language from being displayed.
Python script that updates your Discord custom status in real-time with your voice input using speech recognition
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discord-voice-status is a Python script that dynamically updates a Discord user's custom status to reflect their current voice input. It leverages speech recognition to achieve real-time updates, providing a fun and engaging way to share what you're saying on Discord.
AI Summary: The task is to fix a bug in a Stoneshard talent calculator where tooltips appear instantly on hover with a stylus on mobile, instead of requiring a long press. The solution likely involves adding code to detect stylus input and treat it similarly to touch input, preventing the unintended tooltip display.
A talent calculator for the game Stoneshard
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The stoneshard-talent-calculator is a tool designed to help players of the game Stoneshard optimize their character builds. It allows users to easily visualize and plan talent allocations, streamlining the process of creating effective and customized characters.
AI Summary: Debug and fix a bug in the Intersect game engine's map editor where the map preview stops working after creating 2000 or more maps. The issue occurs on Windows 10 and 11, and requires investigating the map preview functionality, identifying the performance bottleneck or memory leak causing the failure, and implementing a solution to handle a larger number of maps.
Intersect provides a complete game development suite for creating 2d mmorpgs with no programming experience required!
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Intersect-Engine is a no-code game development suite designed to simplify the creation of 2D MMORPGs. It eliminates the need for programming expertise, allowing users to build complex games through a user-friendly interface and pre-built tools.
AI Summary: Debug a C# .NET library (FlareSolverrSharp) that interacts with a FlareSolverr proxy server to bypass Cloudflare protection. The issue is that cookies returned by FlareSolverr are deemed invalid by the library, leading to exceptions, while direct calls to FlareSolverr via curl work correctly. The task involves analyzing the library's request handling, comparing it to the successful curl request, and identifying the source of the cookie validation failure. This might involve inspecting network traffic, reviewing the library's code, and potentially modifying the library or its configuration.
FlareSolverr .Net / Proxy server to bypass Cloudflare protection
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FlareSolverrSharp is a .NET library and proxy server designed to circumvent Cloudflare's anti-bot measures. It provides a simple interface for developers to integrate Cloudflare bypass functionality into their applications, enabling access to websites protected by Cloudflare's security features.
AI Summary: Enhance the `sotodlib` library's context manager (`ctx.get_obs` and `ctx.get_meta`) to perform more robust type checking on input observation IDs. This involves validating the format of the input ID before attempting to retrieve metadata or observation data, improving error handling and providing more informative error messages when invalid IDs are used.
Simons Observatory: Time-Ordered Data processing library.
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sotodlib is a library for processing time-ordered data from the Simons Observatory (SO). It addresses the challenges of handling the massive datasets generated by SO, providing tools for efficient data reduction, calibration, and analysis. Key features include optimized data handling and algorithms tailored to the specific needs of SO's cosmology experiments.
AI Summary: Implement a feature for the Brighter messaging framework to simulate a dead-letter queue (DLQ) for Kafka. Currently, exceptions in Kafka handlers are acknowledged without creating a DLQ entry, unlike RabbitMQ. The task involves creating a mechanism to send failed messages and error details to a designated Kafka topic when an exception occurs in a handler, ensuring consistent behavior across different message brokers.
A framework for building messaging apps with .NET and C#.
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Brighter is a .NET and C# framework streamlining the development of messaging applications. It simplifies the complex tasks involved in building robust and scalable messaging systems, allowing developers to focus on application-specific features.
AI Summary: Investigate why media thumbnails are not generating for a specific accession (UA2025-008) in the Arctos museum collections management system. Determine if the issue is user-side, requires backend intervention, or points to a system-wide problem. The solution may involve troubleshooting the thumbnail generation process, potentially requiring code review or database checks.
Arctos is a museum collections management system
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Arctos is a museum collections management system designed to streamline the organization and access of museum artifacts. Key features include cataloging, data management, and improved accessibility for researchers and the public.
AI Summary: Implement a smart will management feature for the Spherre Protocol. This involves creating a UI (modal or page) allowing users to set and update a backup wallet address that takes over after a period of inactivity. The UI should display a countdown timer, alert users nearing the deadline, warn if no will is set, and provide confirmations via toasts. Backend integration with smart contract functions (`update_smart_will()`, `get_member_will_address()`, `get_remaining_will_time()`, `reset_will_duration()`) is required.
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: Implement a user interface for managing multisig settings within the Spherre Protocol. This involves displaying the current threshold and voter count, allowing users to propose threshold changes via transactions, and handling potential errors such as invalid threshold values. The UI will integrate with existing Spherre smart contract functions and React hooks.
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: Implement a user setting in the Trillium robotics visualization and control application to allow swapping the functionality of the left and right mouse buttons (or single/two-finger touch gestures on mobile). This change should align the default controls more closely with the Rviz standard, offering users the option to rotate with the left click/single touch and pan with the right click/two-finger touch.
Robotics visualization and control
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Trillium is a robotics project focused on visualization and control. It provides tools for users to easily visualize robot movements and configurations, and to control robots remotely or autonomously.
AI Summary: Modify the mdnov_novx converter to ignore the minor version number in .novx files during the conversion process to improve its future compatibility with novelibre updates. This involves commenting out two lines of code in the novx_file.py module.
Converter between .mdnov and .novx file format
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The mdnov_novx project addresses the need for interoperability between .mdnov and .novx file formats by providing a converter. This tool facilitates seamless data transfer and avoids format-related compatibility issues.
AI Summary: Debug and fix a bug in the Expensify app where workspace chats disappear from the Left Hand Navigation (LHN) after paying an IOU that was moved to that workspace. The bug is reproducible on Android, mWeb Chrome, and Windows Chrome. The fix requires understanding the app's architecture (Onyx, Actions, UI), debugging skills, and familiarity with React Native and potentially native Android/iOS code if the issue spans beyond the JavaScript layer. The solution should ensure workspace chats remain visible in the LHN after IOU payments.
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: Statistically prove the correlation between the MazeMind model's Cyber Risk Score (CRS) and the likelihood of a real-world attack using historical attack data. This involves applying the model to historical data and performing statistical analysis to demonstrate a significant correlation between a higher CRS and a higher probability of a successful attack.
Determines a cyber risk score from given vulnerabilities using machine learning and logistic regression.
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MazeMind is a cybersecurity risk assessment tool that leverages machine learning, specifically logistic regression, to calculate a cyber risk score based on identified vulnerabilities. This allows for efficient prioritization of remediation efforts by quantifying the relative risk posed by different vulnerabilities.
AI Summary: Create a pipeline to collect, clean, and prepare historical vulnerability scan data and corresponding breach labels ('was_breached') for model validation in a machine learning project focused on cyber risk scoring using logistic regression.
Determines a cyber risk score from given vulnerabilities using machine learning and logistic regression.
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MazeMind is a cybersecurity risk assessment tool that leverages machine learning, specifically logistic regression, to calculate a cyber risk score based on identified vulnerabilities. This allows for efficient prioritization of remediation efforts by quantifying the relative risk posed by different vulnerabilities.
AI Summary: Develop a feature for the Spherre Protocol allowing users to lock their tokens for a specified duration. This involves creating a user interface (UI) for viewing existing locks, proposing new locks, and unlocking tokens after the lock period expires. The UI should integrate with existing smart contract functions (`get_all_locked_plans()`, `get_locked_plan()`, `propose_smart_token_lock_transaction()`, `unlock_token()`) and provide appropriate error handling and visual feedback (toasts).
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 issue is a Git checkout failure on Windows due to an invalid file path containing a colon (':') in the filename '2025-04-27-client‑side ssr: build a component‑based landing page in 10 minutes.md'. The task requires investigating why a proposed solution from Stack Overflow didn't work and finding a way to successfully clone the repository, either by renaming the problematic file on the server or adjusting the local Git configuration to handle the invalid filename.
🐜 Server-oriented customizable templating for JavaScript. Alternative to HTMX and Alpine.js.
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hmpl is a server-side JavaScript templating engine offering a customizable alternative to client-side solutions like HTMX and Alpine.js. It solves the problem of managing complex dynamic updates on the server, providing greater control and efficiency for building interactive web applications.
AI Summary: Create a custom CSS stylesheet for awsacademy.instructure.com, following the provided guidelines. The stylesheet should prioritize transparency, minimize distractions, and account for both light and dark modes (or Dark Reader). The stylesheet must adhere to a specific naming convention and commenting style, and include `!important` for all CSS properties. The completed stylesheet will be added to the Zen Internet project's repository.
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 member management functionality for the Spherre Protocol, including adding, removing, and editing members. This involves creating a user interface for these actions, integrating with smart contract functions for proposal creation and multisig approval, and handling various error conditions. The UI should clearly display member details, roles, and permissions.
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: Implement a simple regular expression check on email input fields within the ArsMedicaTech application to prevent invalid email addresses from being submitted. This will likely involve adding validation to the frontend React components and potentially backend Flask API validation as well.
This is a broad purpose web application for various kinds of clinical use cases. It has a Flask server, a React front end, SurrealDB for a multimodel database, LLM integration, MCP, RAG, OSCAR EMR integration, and much, much more.
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Arsmedicatech is a versatile web application addressing diverse clinical needs. It leverages a Flask/React architecture, a SurrealDB database, and integrates LLMs, MCP, RAG, and OSCAR EMR for enhanced data management and clinical workflow support.
AI Summary: Investigate and debug a performance issue in the Actual Budget mobile app where account notes are slow to load on iOS devices using Firefox and Safari browsers after deploying the latest Edge version via Fly.io. The issue seems intermittent and might be related to recent code changes. The task involves reproducing the bug, identifying the root cause, and implementing a fix.
A local-first personal finance app
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Actual is a local-first personal finance app designed to give users complete control over their financial data without relying on cloud services. Key features include offline access to transactions and budgets, ensuring privacy and data security.
AI Summary: Develop the frontend and backend functionality for managing transaction proposals within the Spherre Protocol. This involves fetching proposal lists, displaying details, enabling approval/rejection/execution actions, and implementing robust error handling and UI elements to reflect proposal status and user roles. Integration with existing Spherre smart contract functions is required.
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 a custom CSS stylesheet for khanacademy.org, following the provided guidelines, to enhance the website's appearance with transparency and other features. The stylesheet should account for both light and dark modes and adhere to the project's coding standards, including the use of `!important` and specific naming conventions for the file and 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: The task is to address an issue reported for the `japanese-address-parser` library. The issue highlights a variation in the spelling of a Japanese address location ('遥堪' vs '遙堪'). The requirement is to update the library to correctly handle both spellings, recognizing '遙堪' as the standard form.
日本の住所を都道府県/市区町村/町名/その他に分割するライブラリです
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The `japanese-address-parser` library efficiently splits Japanese addresses into their constituent parts: prefecture, city/ward, town/village, and other details. This simplifies address processing and data analysis by providing a structured representation of otherwise unstructured address strings.
AI Summary: Implement a user interface and backend functionality for proposing token withdrawals from a Spherre account. This involves allowing users to input withdrawal details, verifying sufficient balance, proposing the transaction via a connected wallet, and displaying the proposal status (Pending, Approved, Executed) in the application. Error handling for insufficient balance, unconnected wallets, and user rejection is required. Integration with existing smart contract functions (`get_token_balance()`, `propose_token_transaction()`) and frontend components is necessary.
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 a custom CSS stylesheet for circuitcanvas.com, following the provided guidelines, to enhance the website's appearance with transparency and other features. The stylesheet should account for both light and dark modes and adhere to the project's coding standards, including the use of `!important` and specific naming conventions for the file and 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: Create a custom CSS stylesheet for opencut.app, following the provided guidelines in the project README. The stylesheet should prioritize transparency, minimize distractions, and account for both light and dark modes. The stylesheet must adhere to the naming conventions and commenting standards specified in the README, and include `!important` for all CSS properties.
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 real-time chat application using Flutter as the frontend, Ably for real-time messaging, and a backend service. The frontend will send messages directly to Ably. Ably will use webhooks to send message data to the backend for database storage and asynchronous processing of business logic (e.g., notifications).
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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 troubleshoot a Proxmox external qdevice Docker container (bcleonard/proxmox-qdevice) that is failing to start due to the `corosync-qnetd` process repeatedly exiting with status 1 and entering a FATAL state. The container is running on a QNAP NAS, and the logs indicate multiple restart attempts before giving up. Debugging will likely involve examining the container's configuration (network settings, corosync configuration), checking the QNAP NAS's system logs for errors, and potentially adjusting the container's resource allocation or firewall settings.
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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 fix an Excel issue where cells do not automatically resize to accommodate string or number values that exceed their current width. The solution needs to ensure that cells dynamically adjust their width to fully display the content.
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The SchoolManagementProjectByEF is a school management system built using Entity Framework. It solves the problem of managing student, teacher, and course information efficiently, offering features for data organization, tracking, and reporting.
AI Summary: The user is experiencing audio issues while trying to set up Rocksmith 2014 on Pop!_OS 22.04 using the provided Linux guide and the Native JACK audio setup. Rocksmith doesn't detect any output devices, and the VBASIOTest32.exe produces errors related to 32-bit/64-bit library compatibility and unmet dependencies during package installation. The task involves troubleshooting the audio configuration, resolving library conflicts, and ensuring proper communication between Rocksmith, JACK, and the user's audio interface.
Guides to get Rocksmith 2014 running on Linux
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linux_rocksmith provides guides and instructions to overcome the incompatibility of Rocksmith 2014 with Linux, enabling Linux users to play the game. It addresses the problem of limited native Linux support for the game by offering solutions and workarounds.
AI Summary: Implement a Kotlin function that counts the digits of a non-negative integer and add it to an existing Kotlin code collection project. The function should be saved in the `snippets/numbers/DigitCount.kt` file, and the `snippets/numbers/README.md` file should be updated to reflect the addition.
Collection of practical, idiomatic Kotlin code, including utilities, real-world code snippets, algorithms, and design patterns. Easy to use, easy to contribute 💜
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The kotlin-code-collection project provides a readily accessible library of practical Kotlin code examples, addressing the need for reusable and idiomatic solutions. It features utilities, algorithms, design patterns, and real-world snippets, simplifying development and promoting best practices.
AI Summary: Implement a Kotlin function that checks if a given integer is a prime number. The function should be added to the `snippets/numbers` directory within an existing Kotlin project, and the corresponding README file should be updated.
Collection of practical, idiomatic Kotlin code, including utilities, real-world code snippets, algorithms, and design patterns. Easy to use, easy to contribute 💜
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The kotlin-code-collection project provides a readily accessible library of practical Kotlin code examples, addressing the need for reusable and idiomatic solutions. It features utilities, algorithms, design patterns, and real-world snippets, simplifying development and promoting best practices.
AI Summary: Implement a Kotlin extension function that capitalizes the first letter of a string only if it's a letter, and update the relevant README file.
Collection of practical, idiomatic Kotlin code, including utilities, real-world code snippets, algorithms, and design patterns. Easy to use, easy to contribute 💜
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The kotlin-code-collection project provides a readily accessible library of practical Kotlin code examples, addressing the need for reusable and idiomatic solutions. It features utilities, algorithms, design patterns, and real-world snippets, simplifying development and promoting best practices.
AI Summary: Implement a Kotlin function that efficiently determines if a given string is a palindrome, ignoring case and non-alphanumeric characters. The function should be added to the `snippets/strings` directory within an existing Kotlin project, and the relevant README should be updated.
Collection of practical, idiomatic Kotlin code, including utilities, real-world code snippets, algorithms, and design patterns. Easy to use, easy to contribute 💜
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The kotlin-code-collection project provides a readily accessible library of practical Kotlin code examples, addressing the need for reusable and idiomatic solutions. It features utilities, algorithms, design patterns, and real-world snippets, simplifying development and promoting best practices.
AI Summary: Implement a Kotlin extension function that reverses a given string and update the relevant README file.
Collection of practical, idiomatic Kotlin code, including utilities, real-world code snippets, algorithms, and design patterns. Easy to use, easy to contribute 💜
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The kotlin-code-collection project provides a readily accessible library of practical Kotlin code examples, addressing the need for reusable and idiomatic solutions. It features utilities, algorithms, design patterns, and real-world snippets, simplifying development and promoting best practices.
AI Summary: Create a dedicated 'Technologies' page for the MakeWeb website, detailing the technologies used (Astro 5, Three.js, and Tailwind CSS), potentially including logos and brief descriptions of each technology's role in the project.
My site web
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The `mario-hernandez-site` project is a personal website for Mario Hernandez. It aims to provide an online presence showcasing his skills and experience. Further details about its features are unavailable due to the lack of a README.
AI Summary: The task is to debug a volume change issue in the ImprovedTube YouTube extension that occurs when a video enters fullscreen mode. The bug only appears with the extension active and seems related to a recent YouTube player layout change. The solution requires investigating the extension's code to identify what might be altering the volume during fullscreen transitions, potentially involving interaction with the YouTube player API or CSS styles. Testing will involve toggling fullscreen and observing volume levels with and without the extension, and potentially examining browser console logs for clues.
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: Implement an in-app update alert mechanism. This involves adding a version column to the Supabase database, fetching the latest version, comparing it to the app's current version, and displaying a non-dismissable modal prompting users to update if necessary. The modal should include an 'Update' button linking to the app's App Store page.
UT Dining is your companion app for exploring dining options at the University of Texas at Austin. Browse menus, check dining hours, and find the perfect meal on campus.
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UT-Dining solves the problem of finding food on the University of Texas at Austin campus by providing a convenient app to browse menus, check dining hall hours, and locate nearby dining options. Key features include menu browsing and real-time dining hall information.
AI Summary: The task is to address an issue reported for the `japanese-address-parser` library. The issue highlights a discrepancy in address spellings: "白瀉本町" and "白潟本町" in Matsue City, Shimane Prefecture. The correct spelling is "白瀉本町", and the task involves updating the library to correctly handle this variation and potentially others like it to improve address parsing accuracy.
日本の住所を都道府県/市区町村/町名/その他に分割するライブラリです
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The `japanese-address-parser` library efficiently splits Japanese addresses into their constituent parts: prefecture, city/ward, town/village, and other details. This simplifies address processing and data analysis by providing a structured representation of otherwise unstructured address strings.
AI Summary: Revert two lines of code (82-83) in the `.github/workflows/build.yml` file of the FOUND project's GitHub repository, restoring the use of the `erclu/check-crlf` action for CI/CD. Consider removing the `.gitattributes` file if it's solely for line ending enforcement, or keeping it as a secondary check. This is in response to a pull request that has been merged into `erclu/check-crlf`.
FOUND: FOUND Open-source Universal Navigation Determiner
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FOUND is an open-source project aiming to solve the problem of universal navigation determination. It provides a flexible and adaptable solution for determining navigation paths and actions across diverse systems and platforms.
AI Summary: Set up a Spring Boot project and run a basic 'Hello World' program to verify the environment is correctly configured. This involves creating a new Spring Boot project, adding necessary dependencies (if any), and running the application to ensure it starts without errors.
Uma API para Gestão de Projeto Usando SpringBoot
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Gestao-de-Projeto is a SpringBoot-based API designed to manage projects. It solves the problem of needing a centralized system for tracking and managing project details, offering features for efficient project organization and oversight.
AI Summary: Implement an optional subtitle feature in the NeoBeam Marp theme. This involves adding CSS and potentially Markdown functionality to allow users to include a subtitle on slides, as shown in the project's README example image. The implementation should integrate seamlessly with the existing theme's styling and functionality.
A modern take on the LaTeX beamer theme, for Marp
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neobeam is a modern and visually appealing theme for Marp presentations, inspired by the LaTeX beamer theme. It offers a clean and consistent design, enhancing the presentation of slides created using Marp's markdown-based syntax.
AI Summary: Add docstrings to the existing methods within the `daft.schema.py` file to improve the documentation for the Daft Schema API. This involves writing clear and concise descriptions of each method's purpose, parameters, and return values.
Distributed query engine providing simple and reliable data processing for any modality and scale
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Daft is a distributed query engine designed to simplify and reliably process data of any type and size. Its key features include ease of use and scalability, enabling efficient data processing across diverse modalities.
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The `orders-api` project is a RESTful API designed to manage orders. It likely handles order creation, retrieval, updates, and potentially cancellation, providing a robust backend for an e-commerce or similar system.
E-Commerce App for selling Plants. Used Flutter (Dart) as Frontend Tool, Firebase as Backend and BLoC as State Management Tool.
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Fayzigul is an e-commerce mobile application built with Flutter, Firebase, and BLoC, designed to facilitate the online sale of plants. It provides a user-friendly interface for browsing, purchasing, and managing plant orders, leveraging Firebase for backend services and BLoC for efficient state management.
E-Commerce App for selling Plants. Used Flutter (Dart) as Frontend Tool, Firebase as Backend and BLoC as State Management Tool.
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Fayzigul is an e-commerce mobile application built with Flutter, Firebase, and BLoC, designed to facilitate the online sale of plants. It provides a user-friendly interface for browsing, purchasing, and managing plant orders, leveraging Firebase for backend services and BLoC for efficient state management.
AI Summary: Add a section to the Brisbane Social Chess website's contributing guide with quick tips on using pre-commit hooks. This involves researching best practices for pre-commit usage and writing clear, concise instructions for contributors.
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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 about the website brisbanesocialchess.github.io.
AI Summary: Explore and understand the functionality of the 'Cite Wide' Obsidian plugin, focusing on its hex-code based citation management system. Document any usage issues or areas for documentation improvement.
An Obsidian plugin for rigorous, vault-wide citation management. Converts numeric footnotes into unique hex-codes, logs unique hex codes and their reference information into a base, assures consistent hex codes per reference.
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cite-wide is an Obsidian plugin streamlining citation management across an entire vault. It replaces numeric footnotes with unique hex codes, tracks these codes and their associated references in a central database, ensuring consistent citation formatting throughout the vault.
AI Summary: Style a Next.js TodoItem component using BEM methodology and CSS variables defined in `app/globals.css`. The styling must match provided design screenshots for default, hover, and focus states. No changes to the component's markup or logic are allowed.
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This project, while lacking a description and README, is likely a coding challenge implemented using React and Next.js. It aims to demonstrate proficiency in these frameworks by solving a specific problem, the nature of which is currently unknown due to missing documentation.
AI Summary: Write unit tests for a Next.js application's custom hook, `useTodos`, covering all CRUD operations, error handling, and state management. This involves creating a test file (`hooks/use-todos.spec.ts`), mocking API calls using Jest, and ensuring all tests pass using React Testing Library and TypeScript.
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This project, while lacking a description and README, is likely a coding challenge implemented using React and Next.js. It aims to demonstrate proficiency in these frameworks by solving a specific problem, the nature of which is currently unknown due to missing documentation.
AI Summary: The task is to modify the Makefile to allow users to choose between using Docker or Podman for building and running the container image, ensuring consistent behavior and correct image name usage across both systems. The current Makefile likely has hardcoded references to either Docker or Podman, requiring a refactoring to use conditional logic based on user selection.
A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
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mcp-context-forge is an MCP gateway and registry that centralizes access to tools, resources, and prompts for MCP-compatible LLMs. It addresses the need for a unified management point by converting various APIs to MCP, composing secure and observable virtual servers, and handling protocol conversions (stdio, SSE, HTTP).
AI Summary: Debug a bug in p5.js version 2.0.3 where the `loadPixels()` function doesn't work correctly with `p5.MediaElement` objects created using `createCapture(VIDEO)`. The issue involves resolving type errors related to the p5.js library's TypeScript definitions and potentially updating the library's package.json or typings to correctly reflect the `p5.MediaElement` type.
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.
AI Summary: The task involves improving the '.NET documentation' by adding notes or links to the 'Configure Nullable Context' section of the C# compiler messages documentation page to guide users on correctly setting the nullable context. This requires editing the relevant Markdown file in the `dotnet/docs` repository.
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: Debug and fix a bug in the Expensify React Native chat application where expenses sent in 1:1 conversations are not immediately visible in the chat preview on the Left Hand Navigation (LHN) until the chat is opened. The bug is reproducible on Android, mWeb Chrome, and Windows Chrome. The fix requires familiarity with React Native, the Expensify codebase, and debugging techniques for mobile and web applications. Testing will need to be performed on the specified platforms to ensure the fix is effective and doesn't introduce new issues.
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.
E-Commerce App for selling Plants. Used Flutter (Dart) as Frontend Tool, Firebase as Backend and BLoC as State Management Tool.
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Fayzigul is an e-commerce mobile application built with Flutter, Firebase, and BLoC, designed to facilitate the online sale of plants. It provides a user-friendly interface for browsing, purchasing, and managing plant orders, leveraging Firebase for backend services and BLoC for efficient state management.
AI Summary: Investigate and fix a TypeScript type error in MikroORM. The error allows non-populated entities to be passed to functions expecting populated entities when the entity is passed inline, but not when it's assigned to a variable first. The fix should ensure consistent type checking regardless of how the entity is passed to the function, enforcing the `Loaded` type correctly.
TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
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mikro-orm is a TypeScript Object-Relational Mapper (ORM) for Node.js that simplifies database interactions. It utilizes Data Mapper, Unit of Work, and Identity Map patterns for efficient data management and supports multiple database systems including MongoDB, MySQL, PostgreSQL, and more.
AI Summary: The task is to troubleshoot a `networkx` installation failure during the manual installation of the SurfSense project. The error message indicates an invalid wheel file, despite the provided metadata appearing correct. The solution requires investigating the downloaded wheel file's integrity, potentially redownloading it, checking for conflicts with other packages, or verifying the Python environment's setup.
Open Source Alternative to NotebookLM / Perplexity / Glean, connected to external sources such as search engines (Tavily, Linkup), Slack, Linear, Notion, YouTube, GitHub, Discord and more.
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SurfSense is an open-source alternative to AI-powered knowledge assistants like NotebookLM and Perplexity. It connects to numerous external sources, including search engines, communication platforms, and project management tools, to provide a comprehensive and integrated information retrieval experience.
AI Summary: Add a clickable Google Maps link (or map icon linking to Google Maps) next to each address in the meetup locations table. Consider using an emoji icon for better visual appeal.
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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. Further information is needed to provide a meaningful summary.
AI Summary: The task is to debug and fix a bug in the Ruff linter's `empty-comment` (PLR2044) rule. The current fix incorrectly removes entire lines of code when a backslash is used for line continuation, potentially altering program behavior. The solution requires modifying the fix logic to handle line continuations correctly, ensuring that only the comment is removed while preserving the rest of the line, including the preceding backslash if present.
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 a comprehensive guide to Git basics for contributors to the CuMind project. The guide should cover branching, committing, amending, merging, pushing, and best practices, with clear explanations, examples, and a focus on beginner-friendliness.
CAIS Implementation of MuZero RL Algorithm
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CuMind implements the MuZero reinforcement learning algorithm using the CAIS framework. This project addresses the challenge of training complex agents in environments with imperfect information by leveraging MuZero's ability to learn a model of the environment and plan effectively. Key features include efficient CAIS integration and adaptation of the MuZero algorithm for optimal performance.
AI Summary: Investigate and optimize the performance of the `oteltest.CheckReceivers` unit test suite within the Elastic Beats project. The current tests are significantly slower than comparable integration tests, hindering rapid prototyping of Beats receivers. The task involves identifying performance bottlenecks within the test suite and implementing necessary changes to improve execution speed.
:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash
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Beats are lightweight shippers designed to simplify the process of sending data to Elasticsearch and Logstash. They address the challenge of efficiently collecting and forwarding logs and metrics from various sources, offering a streamlined and easy-to-use solution for data ingestion.
AI Summary: Implement a user interface notification (toast or banner) that informs the user of the current flow execution mode (e.g., Development Mode with caching, or Performance Mode without caching) after they click the "Run" button.
Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.
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Flowfile is a visual ETL tool that simplifies data processing by combining a drag-and-drop interface with the power of Polars dataframes. It allows users to build data pipelines visually, programmatically define flows using a Polars-like API, and export them as standalone Python code for efficient development and deployment.
AI Summary: The task is to address an issue in the `japanese-address-parser` library. The issue reports a variation in address spelling: "廣野" (Hiro-no) and "広野" (Hiro-no), where "廣" is an old character for "広". The library needs to be updated to handle this variation correctly, ensuring consistent parsing regardless of the character used.
日本の住所を都道府県/市区町村/町名/その他に分割するライブラリです
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The `japanese-address-parser` library efficiently splits Japanese addresses into their constituent parts: prefecture, city/ward, town/village, and other details. This simplifies address processing and data analysis by providing a structured representation of otherwise unstructured address strings.
AI Summary: Fix a UI rendering issue on the Android version of the Expensify app where the 'Connect bank account' page is cut off on devices with minimum font size. The bug is reproducible on both staging and production environments and affects users with Samsung Galaxy Z Fold 4 devices running Android 15. The task involves debugging the UI layout and adjusting it to prevent the cutoff, ensuring compatibility across different screen sizes and font settings.
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 fix a bug in PostHog's experiment feature where holdout groups can be set to percentages greater than 100%, leading to negative variant percentages. This involves investigating the backend and frontend validation to prevent saving experiments with invalid holdout group percentages (ideally also preventing 100% holdout).
🦔 PostHog provides open-source web & product analytics, session recording, feature flagging and A/B testing that you can self-host. Get started - free.
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PostHog is an open-source platform offering self-hostable web and product analytics, including session recording, feature flagging, and A/B testing. It solves the problem of expensive and privacy-compromising proprietary analytics solutions by providing a free, customizable, and privacy-respecting alternative.
AI Summary: Debug a performance issue in the Photo-Sphere-Viewer JavaScript library where SVG marker fills move too fast when covering a large field of view. The issue occurs when using SVG patterns as marker fills, particularly noticeable with large SVGs. The task involves analyzing the provided codepen, understanding the library's marker rendering, and potentially adjusting configuration or implementation to optimize performance.
A JavaScript library to display 360° sphere panoramas.
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Photo-Sphere-Viewer is a JavaScript library that solves the problem of displaying 360° panoramic images on websites. Its key feature is the ability to seamlessly render and interact with spherical panoramas, offering users a fully immersive viewing experience.
AI Summary: Debug a hotkey issue in the Mysteries of the Sith expansion for Jedi Knight: Dark Forces II, specifically the failure of the F2 hotkey to activate the Field Light within OpenJKDF2, a cross-platform reimplementation of the game's engine. The issue is only present in MoTS, not the base game, and manual activation works correctly. Debugging may involve examining game code, save files, and logs to identify the source of the discrepancy between the hotkey and manual activation.
A cross-platform reimplementation of JKDF2 in C
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OpenJKDF2 is a cross-platform C implementation of the JKDF2 key derivation function, addressing the need for a portable and readily available version of this algorithm. Its key feature is its cross-platform compatibility, ensuring consistent functionality across various operating systems and environments.
AI Summary: Add four photos of the Quaternity game from a recent Garden Room meetup to the organization's profile README. The photos should be arranged in a 2x2 grid, and each photo should link to a larger version when clicked.
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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. Further information is needed to provide a meaningful summary.
AI Summary: Refactor the Mastra TypeScript framework to decouple tools import from server creation. This involves moving the tools import logic from the `createHonoServer` function to individual deployer entry files (Vercel, Netlify, Cloudflare), passing the imported tools as a parameter to `createHonoServer`. This improves separation of concerns, testability, and flexibility.
The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.
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Mastra is a TypeScript framework for building AI agents, enabling easy integration with various LLMs like GPT-4, Claude, and Llama. It simplifies the development of AI assistants and RAG applications, offering features like built-in observability for enhanced monitoring and debugging.
AI Summary: The task is to address an issue reported for the `japanese-address-parser` library. The issue highlights a variation in the spelling of "藪塚町" (Yabuzukacho) in addresses, specifically the use of a traditional Chinese character (塚) instead of the modern character (塚). The required action is to update the library to correctly handle both spellings, ensuring consistent parsing regardless of the character used.
日本の住所を都道府県/市区町村/町名/その他に分割するライブラリです
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The `japanese-address-parser` library efficiently splits Japanese addresses into their constituent parts: prefecture, city/ward, town/village, and other details. This simplifies address processing and data analysis by providing a structured representation of otherwise unstructured address strings.
AI Summary: The task is to brainstorm and propose architectural improvements to scale a lightweight AI-powered ticket management system built with LangChain and FAISS. This involves considering multi-user support, persistent storage (database selection), tracking ticket status, adding filtering/sorting capabilities, and potentially evolving the system into a SaaS offering. The current system uses simple text files for storage.
AI-based ticket classifier and responder using LangChain and FAISS. Open to collaboration.
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The ai-ticket-routing-agent project uses LangChain and FAISS to build an AI-powered system for classifying and responding to support tickets. This solves the problem of inefficient manual ticket routing and handling by automating the process and improving response times.
AI Summary: Develop and deploy a final website incorporating updated content. This involves the complete process of preparing the website for launch and making it accessible online.
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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: Migrate the existing ticket processing logic in `app/core.py` from a procedural approach to a LangChain LangGraph-based architecture. This involves creating a LangGraph chain with nodes for department classification, duplicate search (using FAISS), and ticket saving/updating, leveraging LangGraph's features like `state_schema` and `.invoke()`. The file-based storage system should be retained.
AI-based ticket classifier and responder using LangChain and FAISS. Open to collaboration.
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The ai-ticket-routing-agent project uses LangChain and FAISS to build an AI-powered system for classifying and responding to support tickets. This solves the problem of inefficient manual ticket routing and handling by automating the process and improving response times.
AI Summary: Create a new page within the MSOE Rowing Team Companion PWA that displays links to external resources relevant to the rowing team, such as Ray's Box, sports medicine information, and potentially a link to the app's issue tracker for bug reports and feature requests. The page should be easily accessible from the main navigation.
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The msoe-crew-app 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: Add more unit tests to the OasisDB vector database project, focusing on improving test coverage. This involves writing new unit tests using a preferred testing framework (implied to be vibe).
OasisDB: A open-source vector database, it is minimal and lightweight, suitable for beginners
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OasisDB is a lightweight, open-source vector database designed for ease of use, especially for beginners. It solves the problem of needing a simple and accessible solution for storing and querying vector embeddings, crucial for applications like similarity search.
AI Summary: Manually resolve the incompatibility issues introduced by upgrading the wgpu crate to version 0.12 in the Fornjot CAD kernel. This involves analyzing the CI build error from pull request #2540 and making the necessary code adjustments to ensure compatibility with the updated wgpu version.
Early-stage b-rep CAD kernel, written in the Rust programming language.
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Fornjot is an early-stage, boundary representation (b-rep) CAD kernel developed in Rust. It aims to provide a robust and performant foundation for building CAD applications, addressing the need for a modern, reliable, and open-source CAD kernel.
AI Summary: Implement functions within the geff Python library to convert common graph data formats (e.g., those supported by libraries like NetworkX) into the geff format. These functions should be added as optional dependencies to avoid unnecessary installations for users who don't need them.
Reference implementation of the Graph Exchange File Format
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geff is a reference implementation of the Graph Exchange File Format (GEFF), solving the problem of interoperability between different graph databases and tools. Its key feature is providing a standardized way to exchange graph data, improving data sharing and collaboration.
Reference implementation of the Graph Exchange File Format
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geff is a reference implementation of the Graph Exchange File Format (GEFF), solving the problem of interoperability between different graph databases and tools. Its key feature is providing a standardized way to exchange graph data, improving data sharing and collaboration.
Reference implementation of the Graph Exchange File Format
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geff is a reference implementation of the Graph Exchange File Format (GEFF), solving the problem of interoperability between different graph databases and tools. Its key feature is providing a standardized way to exchange graph data, improving data sharing and collaboration.
AI Summary: Modify the existing Sabangnet shopping mall code retrieval API client to handle variations in Excel column order for different templates. This involves storing all template data for each template ID instead of relying on `column_order` to retrieve data based on `template_id`. This will require changes to the data storage and retrieval logic within the Python application.
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The sabangnet_API 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 user wants to know how to change the menu music in the JS Engine game without modifying the source code, using only Lua scripting. They are working with a release build on Windows x64 and have not made any edits to the build itself.
JS Engine is basically Psych Engine but with (almost) no botplay lag and NEW features!
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FNF-JS-Engine is a JavaScript-based game engine for Friday Night Funkin', addressing the lag issues often associated with botplay in Psych Engine. It boasts improved performance and incorporates new features not found in the original.
AI Summary: Remove all emojis from the `CONTRIBUTING.md` file except for the heart emoji (💙) in the last sentence. The goal is to maintain a professional and clean look for the contribution guidelines.
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firstissue.dev is a project whose purpose is currently unknown due to missing description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Add support for Amazon Nova Sonic as a voice LLM provider within the Mastra framework. This involves integrating the Nova Sonic API into Mastra's existing LLM provider system, ensuring type safety and seamless integration with other Mastra features like agents and workflows.
The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.
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Mastra is a TypeScript framework for building AI agents, enabling easy integration with various LLMs like GPT-4, Claude, and Llama. It simplifies the development of AI assistants and RAG applications, offering features like built-in observability for enhanced monitoring and debugging.
AI Summary: Implement a new feature in the Brushshe painting application to allow users to fill areas with a gradient instead of a solid color. This involves adding a gradient selection tool (likely with options for linear or radial gradients and color selection) and updating the fill functionality to support gradient application. The implementation should adhere to the project's existing coding style and use only the specified libraries (CustomTkinter and Pillow).
Painting app, written in Python, CustomTkinter and PIL
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Brushshe is a painting application built using Python, CustomTkinter, and PIL. It solves the problem of needing a readily available, customizable digital painting tool by providing a user-friendly interface for creating and editing digital artwork.
AI Summary: Update the DSpace configuration to use the ROR API version 2 instead of the deprecated version 1. This involves modifying the `external-providers.cfg` file to point to the new API endpoint and updating the data import mapping to handle the changes in the ROR API v2 schema. The goal is to ensure continued functionality after the v1 API sunset in December 2025.
(Official) The DSpace digital asset management system that powers your Institutional Repository
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DSpace is a digital asset management system designed to create and manage institutional repositories. It solves the problem of organizing and providing access to digital scholarly materials, offering features such as metadata management, version control, and robust search capabilities.
AI Summary: Evaluate if the `amazoncaptcha` dependency in the `amazon-orders` Python library is still necessary due to potential changes in Amazon's authentication process. If unnecessary, remove the dependency and the related code. If necessary, investigate updating `amazoncaptcha` to support Python 3.13, which requires updating the Pillow library version.
A Python library (and CLI) for Amazon order history
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The `amazon-orders` project provides a Python library and command-line interface (CLI) to easily access and manage your Amazon order history. It solves the problem of needing to manually navigate the Amazon website to retrieve order information by providing programmatic access, enabling automation and data analysis.
AI Summary: Improve the battery emulator calibration process in the Lente/Prism production test system. The current implementation automatically calibrates the battery emulator during header configuration, causing unnecessary delays for DUTs without battery chargers. The task requires refactoring the calibration process to be explicitly called, potentially through a function call, optional argument, or JSON configuration option, to improve efficiency and user experience.
Lente/Prism Scripts (examples and documentation)
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The 'scripts' project provides example scripts and documentation for Lente/Prism, aiding users in understanding and utilizing its functionalities. It addresses the problem of lacking readily available examples and clear instructions for using Lente/Prism, thereby facilitating easier adoption and more effective script development.
AI Summary: Correct a spelling typo on the Products page of the Fatafat e-commerce web application. The typo is in the spelling of 'Products'.
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The `frontend_ecommerce` project is a front-end application for an e-commerce website. It provides a user interface for browsing products, adding items to a cart, and completing the checkout process. Key features likely include product display, shopping cart functionality, and secure payment integration (though specifics are unavailable without further project details).
AI Summary: Add a new boolean setting, "send_logs_on_startup", to the existing settings.json file within the Sistemi Lente/Prism PCBA Production Test System. This setting will control whether log files are automatically sent upon system startup for diagnostic purposes. The feature is already implemented in version a08, so the task primarily involves integrating this setting into the configuration file and potentially updating documentation.
Lente/Prism Scripts (examples and documentation)
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The 'scripts' project provides example scripts and documentation for Lente/Prism, aiding users in understanding and utilizing its functionalities. It addresses the problem of lacking readily available examples and clear instructions for using Lente/Prism, thereby facilitating easier adoption and more effective script development.
AI Summary: The task is to fix a bug in WSO2 Identity Server version 7.2 where the dropdown for assigning API resource permissions to roles does not update correctly after API resources or MCP servers are modified. The issue is that deleted resources remain in the dropdown list. The solution requires investigating the role permission assignment mechanism, identifying why the dropdown isn't refreshing, and implementing a fix to ensure the dropdown accurately reflects the current API resources and MCP servers.
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.
OasisDB: A open-source vector database, it is minimal and lightweight, suitable for beginners
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OasisDB is a lightweight, open-source vector database designed for ease of use, especially for beginners. It solves the problem of needing a simple and accessible solution for storing and querying vector embeddings, crucial for applications like similarity search.
OasisDB: A open-source vector database, it is minimal and lightweight, suitable for beginners
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OasisDB is a lightweight, open-source vector database designed for ease of use, especially for beginners. It solves the problem of needing a simple and accessible solution for storing and querying vector embeddings, crucial for applications like similarity search.
AI Summary: Improve the user interface (UI) and user experience (UX) of the Buddy Pond `screen-recorder` app. This involves making layout adjustments, adding simpler Record/Stop buttons to the top menu bar, and potentially implementing a basic video splicing tool for cropping recorded videos.
Cloud OS and Instant Messenger
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buddypond is a cloud-based operating system integrated with an instant messenger, solving the problem of needing multiple platforms for communication and file management. Key features include seamless communication and centralized file storage within a unified interface.
AI Summary: The task is to add support for the EcoFlow Delta 2 power station to the existing Home Assistant integration. This involves reverse-engineering the Delta 2's Bluetooth LE communication protocol to identify the data points (sensors, switches, sliders, selects) that can be accessed and integrated into the Home Assistant interface. The integration should then be updated to handle the new data points and allow users to monitor and control the Delta 2 through Home Assistant.
Unofficial EcoFlow BLE Home Assistant integration
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ha-ef-ble is an unofficial Home Assistant integration providing BLE communication with EcoFlow power stations. This allows users to monitor battery levels, power usage, and other key metrics directly within their Home Assistant setup, enhancing home energy management capabilities.
AI Summary: Determine the backend version to be used for bug fixing. This involves responding to Prasannaram2k4's query regarding the version number and noting the chosen version for future reference.
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Project-01 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 and potentially improving a set of diagrams. The diagrams appear to be related to a software project, judging by the project's README. The task requires visual inspection and potentially some analysis of the diagrams' content and clarity.
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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. Further information is needed to provide a meaningful summary.
AI Summary: Deploy the AI-powered wedding website application to a production environment (AWS), configure the production .env file with appropriate credentials, connect a custom domain, and perform final smoke tests to ensure functionality.
An AI-powered Wedding pages Web Applictaion
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myweddingpage is an AI-powered web application that simplifies wedding website creation. It streamlines the process of designing and managing a personalized wedding website, offering key features like AI-assisted design and content generation to reduce the time and effort involved.
AI Summary: Conduct thorough QA testing on a wedding website application, including manual testing on staging, browser/device compatibility checks, payment gateway testing, AI-generated content edge case analysis, and addressing any outstanding bugs.
An AI-powered Wedding pages Web Applictaion
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myweddingpage is an AI-powered web application that simplifies wedding website creation. It streamlines the process of designing and managing a personalized wedding website, offering key features like AI-assisted design and content generation to reduce the time and effort involved.
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This project, DatabaseIntegrityWithPython, addresses the problem of maintaining database integrity. While specifics are lacking without further project details, it likely uses Python to implement features such as data validation, constraint enforcement, or data consistency checks to ensure reliable database operations.
AI Summary: Refactor the `create_radiation_summary.py` script to decouple the aggregation of data from different space weather radiation monitoring sources. The goal is to create independent datasets for each source, improving the handling of updates and allowing for more robust and flexible data management. This involves redesigning the data structure and potentially modifying the data processing logic to handle partial updates gracefully.
Python script sets for space weather monitoring
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The Space_Weather project is a collection of Python scripts designed for monitoring space weather conditions. It addresses the need for automated and readily accessible space weather data by providing tools for data acquisition and analysis.
AI Summary: Add a new 'Export to CSV' feature to the MS-Excel-Mini web application. This involves adding a button to the UI, implementing logic to generate a CSV string from the application's data structure, and using JavaScript to trigger a file download. Thorough testing to ensure data integrity and compatibility with various CSV readers is required.
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MS-Excel-Mini is a project (details unavailable from provided context) that likely aims to provide a simplified, miniaturized version of Excel's functionality. This would solve the problem of needing spreadsheet capabilities in environments where full Excel is unavailable or impractical, offering key features like basic calculations and data organization in a lightweight format.
AI Summary: Correct a typo in the `resume.py` file by changing the environment variable name used to retrieve the Gemini API key from "YOUR_API_KEY" to "GEMINI_API_KEY", ensuring consistency with the `.env` file.
An AI-powered CV analysis tool that utilizes the Gemini API to analyze CVs and score a user's suitability for various software fields. Upload a PDF for instant results.
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resumeX is an AI-powered tool leveraging the Gemini API to analyze resumes (PDF uploads accepted) and assess a candidate's suitability for various software engineering roles. It provides instant scoring and feedback, streamlining the job application process for both candidates and recruiters.
AI Summary: Implement a search functionality within the ImprovedTube extension that allows users to search their playlists (specifically, very large playlists like the 'Liked videos' playlist) by keywords. This would enable users to easily find and remove videos containing specific keywords, improving playlist management and potentially influencing YouTube's recommendation algorithm.
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: Debug a Windows application that crashes when changing wallpapers in wallpaper mode. The issue lacks detailed logs or screenshots, requiring analysis of provided log files (Player.log and Player-prev.log) to identify the cause of the application termination.
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Without further information about the project 'Shittim_Canvas', 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: This task requires migrating the Velox codebase from using custom functions `mapNameToTypeKind` and `mapTypeKindToName` to the new `TypeKindName::toTypeKind` and `TypeKindName::toName` methods, respectively. This involves finding all instances of the old functions and replacing them with the new ones, then removing the obsolete functions. The task references a related issue (#14094) for context.
A composable and fully extensible C++ execution engine library for data management systems.
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Velox is a C++ execution engine library designed to improve the performance and extensibility of data management systems. It offers a composable architecture, allowing developers to easily integrate and customize its components to meet specific needs, addressing the limitations of traditional, less flexible engines.
AI Summary: Create a GitHub Actions workflow to automatically deploy the BrainZ project's internal documentation website (built using a static site generator) to GitHub Pages or a similar service (Vercel/Netlify) upon pushing to the `main` branch. This involves creating a `deploy.yml` file within the `.github/workflows` directory and securely managing any necessary secrets.
Welcome to the internal documentation portal for the BrainZ project.
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The Knowledge-Base project provides an internal documentation portal for the BrainZ project, solving the problem of scattered and inaccessible information. Key features include centralized documentation and improved accessibility for all BrainZ team members.
AI Summary: The task is to investigate and resolve a TypeScript compiler error (TS80002) that incorrectly flags a generator function as a constructor that could be converted to a class. The issue occurs even when the generator function is not used as a constructor, and the expected behavior is for the compiler to not produce this diagnostic.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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TypeScript solves the problem of JavaScript's lack of static typing by adding optional static typing to JavaScript. Key features include type annotations, interfaces, and compile-time type checking, resulting in improved code maintainability and reduced runtime errors.
AI Summary: The task is to investigate and fix a bug in TypeScript's handling of deprecation messages for default-exported symbols. Currently, when a default-exported symbol is deprecated, the deprecation reason isn't displayed in the JSDoc popup as expected. The solution likely involves modifying TypeScript's compiler to correctly include deprecation reasons for default exports in the generated JSDoc.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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TypeScript solves the problem of JavaScript's lack of static typing by adding optional static typing to JavaScript. Key features include type annotations, interfaces, and compile-time type checking, resulting in improved code maintainability and reduced runtime errors.
AI Summary: Debug a bug in the KubeStellarUI dashboard where graphical data is not displayed after pulling the latest version and running it with Docker. The task involves investigating the frontend and backend code, potentially examining logs and network traffic, to identify the root cause of the missing dashboard information.
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: Create detailed outlines for advanced Node.js and advanced JavaScript topics, including objectives, real-world applications, and specific learning points. The outlines should cover advanced concepts like Express.js middleware, asynchronous programming, database integration, API design, security, performance optimization, and deployment for Node.js; and closures, prototypes, ES6+ features, modules, classes, and advanced patterns for JavaScript.
This repo contains the curriculum of Techtonica, a tech training program for women and non-binary adults with low incomes.
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This project provides the curriculum for Techtonica, a tech training program. It addresses the lack of accessible tech education for low-income women and non-binary adults by offering a comprehensive curriculum designed to equip them with in-demand tech skills.
AI Summary: The task is to fix a bug in the ty (Python type checker) where a specific malformed Callable annotation causes a crash during type inference. The fix involves ensuring the type inference engine correctly handles and stores a type for every sub-expression, even if the annotation is invalid, preventing crashes in IDEs.
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: Decide whether the web application for a meteorological station should allow users to compare data from different dates or simply download the data and let users perform comparisons themselves. This involves discussing the pros and cons of each approach.
WebApps to admin and provide data from metereological station
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ClimaLab is a web application designed to manage and display data from meteorological stations. It solves the problem of inefficient data handling and visualization by providing a centralized platform for administration and access to weather data.
AI Summary: Implement password hashing using bcrypt in the Node.js backend of a PayTM clone application to enhance security. This involves integrating bcrypt, updating user registration to hash passwords before storage, modifying login to verify hashed passwords against stored hashes, and thorough testing.
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Paytm is a digital payment platform that solves the problem of inefficient and insecure cash transactions. Key features include peer-to-peer payments, online bill payments, mobile recharges, and merchant payments, offering a convenient and secure alternative to traditional methods.
AI Summary: The task involves replacing a hardcoded username ('Tejas') in the `AppBar` component of a React application's dashboard with the dynamically retrieved username of the currently logged-in user. This requires accessing the user data from the authentication context or state management system and updating the `Dashboard.jsx` component to use this dynamic data. Testing is also required to ensure the correct username is displayed.
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Paytm is a digital payment platform that solves the problem of inefficient and insecure cash transactions. Key features include peer-to-peer payments, online bill payments, mobile recharges, and merchant payments, offering a convenient and secure alternative to traditional methods.
AI Summary: Disable Dependabot alerts for the Pygame-ce based 2D city builder project, "The Vega Initiative". This involves adjusting project settings to prevent Dependabot from creating pull requests for dependency updates.
A 2D city builder on an alien planet. Coded in PyGame-ce.
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The Vega Initiative is a 2D city-building game set on an alien planet, allowing players to construct and manage settlements in a unique environment. Developed using PyGame-ce, it offers players the challenge of resource management and strategic city planning within an extraterrestrial setting.
AI Summary: Enhance the existing dark mode of the Synapse application, add a light mode, create a custom theme builder, implement accessibility features, and persist user theme preferences. This involves improving CSS custom properties, creating a comprehensive light theme and high contrast mode, building a theme customization panel with preview functionality, and ensuring smooth theme transitions using JavaScript and LocalStorage.
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Synapse 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 internationalization (i18n) support for the Synapse AI-powered development assistant, enabling multi-language UI, localized error messages, RTL support, and a language selection feature. This involves setting up an i18n framework (like i18next), extracting UI text strings, creating translation files for multiple languages (Spanish, French, German, Hindi, Simplified Chinese prioritized), and ensuring proper RTL support in CSS. Backend error message localization is also required.
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Synapse 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: The task involves creating a comprehensive testing suite for the Synapse project, encompassing unit, integration, and end-to-end tests for both the backend (Python with FastAPI) and frontend (likely JavaScript). This includes setting up testing frameworks (pytest, Jest or Cypress), mocking external APIs (Gemini, GitHub), and implementing CI/CD using GitHub Actions. The goal is to achieve high test coverage (80%+ backend, 70%+ frontend) and ensure all critical paths are tested.
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Synapse 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: Improve the API documentation for the Synapse project by adding comprehensive examples, request/response schemas, usage guides, error handling documentation, and potentially a Postman collection. This involves updating docstrings, Pydantic model descriptions, and creating example requests and responses within the FastAPI framework.
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Synapse 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: Enhance VictoriaLogs to export metrics including tenant ID information. This requires modifying the existing metrics exporter to incorporate tenant ID data into the exported metrics, allowing for per-tenant monitoring of event and storage usage.
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VictoriaTraces is a project whose purpose and features are undefined due to missing project description and README.
AI Summary: This task involves creating and updating Kubernetes manifests for Role-Based Access Control (RBAC), ServiceAccounts, and PersistentVolumeClaims (PVCs) to support the OME project's model metadata extraction and storage. It requires creating YAML files for a new ServiceAccount, RBAC roles and bindings, and example manifests demonstrating PVC usage with BaseModels and InferenceServices. Existing controller RBAC will also need updating.
OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)
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OME is a Kubernetes operator simplifying the deployment, scaling, and management of Large Language Models (LLMs) in enterprise environments. It addresses the complexities of LLM infrastructure, offering streamlined operations and improved resource utilization.
AI Summary: Implement a `compressPDF(file, inputId)` function in `compressPDF.js` to compress PDF files using the pdf-lib library. This involves loading the PDF, removing metadata, rebuilding it, and returning a compressed Blob. The `content.js` script should listen for the compressed PDF and update the file input accordingly.
FormEase is a privacy-first Chrome Extension that seamlessly integrates advanced in-browser image and video processing into any file upload workflow, eliminating external dependencies and enhancing user control.
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FormEase is a Chrome extension that simplifies file uploads by directly processing images and videos within the browser, eliminating the need for external tools. This privacy-focused solution enhances user control over their data and streamlines online form submissions.
AI Summary: Integrate flow cytometry data from FlowRepository into the Biomni project. This involves using either the FlowRepository API or the R package FlowRepositoryR to download raw data and incorporate it into Biomni's existing data infrastructure. The contributor will work with the Biomni team.
Biomni: a general-purpose biomedical AI agent
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Biomni is a general-purpose biomedical AI agent designed to address the challenges of accessing and interpreting complex biomedical data. Its key features include efficient data processing and analysis, enabling researchers and clinicians to make faster, more informed decisions.
AI Summary: The task involves enhancing the Kubernetes operator OME's BaseModel controller to manage Persistent Volume Claims (PVCs) for model storage. This includes adding PVC validation, creating and monitoring metadata extraction jobs, updating BaseModel status based on job results, and handling various error scenarios. The controller needs to be modified to watch for PVCs, Jobs, and ConfigMaps, and comprehensive testing is required.
OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)
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OME is a Kubernetes operator simplifying the deployment, scaling, and management of Large Language Models (LLMs) in enterprise environments. It addresses the complexities of LLM infrastructure, offering streamlined operations and improved resource utilization.
AI Summary: This task requires modifying the OME InferenceService controller to support Persistent Volume Claims (PVCs) for model storage. This involves updating the volume creation and mounting logic to handle PVCs instead of host paths, adjusting node selector logic to accommodate PVCs, and adding annotations for debugging and observability. The changes must maintain backward compatibility with existing storage types and include comprehensive unit and integration tests.
OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)
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OME is a Kubernetes operator simplifying the deployment, scaling, and management of Large Language Models (LLMs) in enterprise environments. It addresses the complexities of LLM infrastructure, offering streamlined operations and improved resource utilization.
AI Summary: Create comprehensive documentation for Persistent Volume Claim (PVC) storage support in the OME Kubernetes operator. This includes user guides, API documentation updates, troubleshooting guides, architecture diagrams, and a migration guide. The documentation should cover various PVC access modes, model metadata extraction, and integration with the OME's BaseModel and InferenceService resources. The main README file also needs updating to reflect the new PVC support.
OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)
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OME is a Kubernetes operator simplifying the deployment, scaling, and management of Large Language Models (LLMs) in enterprise environments. It addresses the complexities of LLM infrastructure, offering streamlined operations and improved resource utilization.
AI Summary: Debug and fix a bug in the Expensify chat application where videos are duplicated when navigating through conversation attachments on web and desktop platforms. The bug is reproducible in both staging and production environments. 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: Validate the monthly energy generation and Plane of Array (POA) results from a photovoltaic (PV) system simulation. The current results show approximately 50% energy generation, which seems unusual. The task involves using an EPW weather file from either OneBuilding or PVGIS to validate the calculation process and identify potential data anomalies.
WebApps to admin and provide data from metereological station
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ClimaLab is a web application designed to manage and display data from meteorological stations. It solves the problem of inefficient data handling and visualization by providing a centralized platform for administration and access to weather data.
AI Summary: Enhance Handit's Release Hub to suggest optimal model changes in addition to prompt modifications, based on performance analysis and detected issues. This involves integrating model selection logic into the existing optimization pipeline, potentially incorporating metrics like accuracy, latency, and cost-effectiveness to guide model recommendations.
🧠 Open-source optimization engine for LLM agents. Track logs, evaluate behavior, generate insights, and improve agent performance through manual versioning and analysis. Built to make AI actually work.
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handit.ai is an open-source optimization engine designed to improve the performance of Large Language Model (LLM) agents. It addresses the challenge of managing and analyzing LLM agent behavior by providing tools for logging, evaluation, insight generation, and manual versioning, ultimately making AI agents more reliable and effective.
AI Summary: Create a new Dockerfile and Docker Compose service for processing PX4 ULog files using Bagel. This involves basing the Dockerfile on an Ubuntu image, installing the `pyulog` package using Poetry, and adding a new `px4` service to the `compose.yaml` file. The new service should allow users to access and process `.ulg` files within a Docker container.
Flexible and powerful data processing tool for robotics data.
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Bagel is a flexible data processing tool designed to efficiently handle the complexities of robotics data. It offers powerful features for manipulating and analyzing diverse datasets, streamlining workflows and improving the development process for robotics applications.
AI Summary: Develop a mobile version of the HERALDEXX Habit Tracker application for Android and iOS, or as a responsive web app. This involves choosing a suitable technology stack (native, cross-platform, or web), designing a mobile-friendly UI/UX, implementing core features, ensuring data synchronization with the desktop version (if applicable), adding mobile notifications, thorough testing across devices, and finally publishing to app stores or deploying the web app.
A cross-platform application for building and tracking daily habits, built with Python
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The habit-tracker project is a cross-platform application designed to help users build and maintain positive daily habits. Key features include tracking progress, providing visual representations of habit adherence, and offering a user-friendly interface built with Python.
AI Summary: Investigate and debug a performance regression in TypeScript's control flow analysis, specifically focusing on the impact of pull request #58013 on large JavaScript files. This involves analyzing the provided code, comparing performance across different TypeScript versions, and potentially identifying and proposing a fix for the regression.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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TypeScript solves the problem of JavaScript's lack of static typing by adding optional static typing to JavaScript. Key features include type annotations, interfaces, and compile-time type checking, resulting in improved code maintainability and reduced runtime errors.
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The project's purpose is not defined in the provided information. Without a description or README, a summary cannot be generated.
AI Summary: Debug a TypeScript Mastra client issue where the `startAsync` function's error type is incorrectly typed as `Error` when it sometimes returns a string. The task involves reproducing the bug, investigating the source of the error, and proposing a fix to ensure consistent error handling.
The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.
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Mastra is a TypeScript framework for building AI agents, enabling easy integration with various LLMs like GPT-4, Claude, and Llama. It simplifies the development of AI assistants and RAG applications, offering features like built-in observability for enhanced monitoring and debugging.
Moving CDC data from PostgreSQL to Apache Kafka with optional mapping using Lua functions
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The 'from-to' project efficiently transfers data from PostgreSQL databases to Apache Kafka. It addresses the need for reliable data streaming and offers flexible data transformation capabilities through optional Lua-based mapping functions.
AI Summary: The task involves making LiveStore's query builder pluggable to support third-party SQLite drivers like Drizzle. This requires investigating compatibility requirements, designing an integration API for external drivers, supporting client-document table creation, and integrating with Effect Schema for type safety. The goal is to allow developers to use their preferred SQLite driver while retaining LiveStore's reactive features and performance.
LiveStore is a next-generation state management framework based on reactive SQLite and built-in sync engine.
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LiveStore is a state management framework addressing the challenges of complex application state by leveraging reactive SQLite for efficient data handling. Its key feature is a built-in sync engine, enabling seamless data synchronization across devices and platforms.
AI Summary: The task is to create an Activepieces Piece that integrates with the Mistral AI API. This involves developing TypeScript code for actions to generate text completions, embeddings, upload files, and list available Mistral models. The Piece must adhere to Activepieces' architectural guidelines and be submitted as an npm package.
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
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Activepieces solves the problem of managing and automating AI workflows by providing a scalable infrastructure (280+ MCP servers) for deploying and coordinating AI agents. Key features include AI agent management, AI workflow automation, and the use of MCPs (likely Multi-Core Processors) to enhance performance and scalability.
AI Summary: Debug a PyInstaller packaging issue with the `tm_devices` Python library. The issue causes applications using `tm_devices` to fail at runtime with a "tm_devices was not installed" error, even though it's installed in the development environment. The task involves reproducing the error, investigating the PyInstaller configuration and `tm_devices` dependencies, and finding a solution to correctly bundle the library for deployment.
Test & Measurement Device Management
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tm_devices manages test and measurement devices, streamlining their administration and improving efficiency. Key features likely include device inventory tracking, calibration scheduling, and potentially remote control or data acquisition capabilities.
AI Summary: Optimize the audio visualizer application to reduce high CPU usage. This involves profiling the application to identify performance bottlenecks, optimizing computationally intensive sections (likely loops or rendering), ensuring functionality remains intact after optimization, and ideally testing on various hardware configurations.
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The audio-visualizer project aims to create engaging visual representations of audio input. Key features would likely include real-time visualization of audio frequencies and customizable display options, offering a dynamic and interactive experience for users.
AI Summary: The task is to debug a keyboard firmware issue where the Mac key (mapped to Left Win) intermittently fails to register keystrokes in combination with other keys. This involves investigating the QMK firmware, potentially examining key mapping configurations, and possibly analyzing the keyboard's hardware or driver interactions.
Open-source keyboard firmware for Atmel AVR and Arm USB families
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qmk_firmware is an open-source keyboard firmware that solves the problem of limited customization in pre-built keyboards. It supports Atmel AVR and Arm USB families, offering extensive configurability for key layouts, macros, and advanced features through a user-friendly configuration system.
AI Summary: Rename the `/debug` command in the OpenGuard Discord bot to `/config` and move its functionality to the bot's configuration settings. This involves updating the bot's command handler, potentially modifying the configuration file structure, and ensuring existing functionality remains intact.
Open-source discord bot for server moderation, including AI features
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openguard is an open-source Discord bot designed to automate server moderation tasks. It leverages AI capabilities to enhance its effectiveness and offers a range of features to help maintain a healthy and productive server environment.
AI Summary: Implement the UI for the perfume shopping/category home page without API integration. This includes creating the page layout and design, but excludes category filtering, sorting, and pagination which will be implemented later. Follow the specified Git branching strategy (feature branch, PR to develop, then merge to main), commit conventions, and naming conventions.
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This project, FE (further details needed from provided context), lacks a clear description and README. Therefore, a concise summary of its problem-solving capabilities and key features cannot be provided.
AI Summary: Debug and fix a bug in the Expensify Concierge feature where Concierge updates in the Left Hand Navigation (LHN) incorrectly display as "Expensify" instead of the Concierge's name. This involves examining the codebase, identifying the source of the incorrect display, and implementing a fix to ensure the correct name is shown 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: Update the `cddlconv` dependency to support Zod v4 to improve tree-shaking, performance, and access new features in the WebDriver BiDi for Chromium project. This involves updating the CDDL conversion process and potentially resolving any compatibility issues arising from the Zod major version upgrade.
Implementation of WebDriver BiDi for Chromium
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chromium-bidi implements the WebDriver BiDi protocol in Chromium, enabling more powerful and efficient browser automation. It allows for bidirectional communication between the browser and client, offering features like enhanced debugging and improved performance compared to traditional WebDriver implementations.
AI Summary: Debug and fix failing tests in Optimization.jl related to the Mooncake.jl automatic differentiation package. The issue involves compatibility problems between Mooncake.jl and Optimization.jl, as evidenced by failing tests in a pull request (https://github.com/SciML/Optimization.jl/pull/936). The solution likely involves understanding the interaction between the two packages and modifying Mooncake.jl's code to resolve the incompatibility.
Implementation of language-level autograd compiler for Julia
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Mooncake.jl is a Julia package implementing a language-level automatic differentiation (autograd) compiler. It solves the problem of efficiently computing gradients for complex Julia programs, enabling faster development and optimization of machine learning models and other gradient-based algorithms.
AI Summary: Implement a GitHub-like graph visualizing Pomodoro session history within the Flowkeeper desktop application to display Pomodoro health. This involves designing the graph's visual representation, integrating it into the existing UI, and connecting it to the application's data model to track and display Pomodoro session data (successes, failures, breaks, etc.) over time.
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 is to debug a Kibana issue where updating the casing of a dashboard title triggers a misleading 'duplicate title' error, even though no duplicate exists. This involves analyzing the Kibana codebase (likely focusing on the dashboard saving/updating functionality) to identify why the error is incorrectly raised when only the casing of the title changes. The solution would involve fixing the error handling to prevent the false positive.
Your window into the Elastic Stack
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Kibana is a data visualization and exploration tool for the Elastic Stack, enabling users to easily analyze and understand data from various sources. Key features include dashboards, visualizations, and reporting capabilities, solving the problem of making complex data readily accessible and interpretable.
AI Summary: The task requires creating a Snap package for the Flowkeeper desktop application, in addition to the existing Flatpak package. This involves creating a snapcraft.yaml file defining the application's dependencies and build process, and then publishing the resulting Snap package to the Snap Store.
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: Update the Jupyter notebook screenshot in the napari getting started tutorial to reflect current best practices and remove the outdated `%gui qt6` magic command. This will involve capturing a new screenshot of a Jupyter notebook session using the updated command (if any) and replacing the existing image in the tutorial's markdown file.
Documentation for napari (other than API docs)
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The 'docs' project provides comprehensive, non-API documentation for the napari image viewer, addressing the need for user-friendly tutorials, guides, and examples beyond the technical API specifications. It aims to improve user onboarding and facilitate efficient use of napari's features.
AI Summary: Resolve SyntaxWarnings from the pydub library within the OpenHands CLI by either updating pydub to a newer version, adding warning filters to suppress the warnings, or contributing a fix upstream to the pydub library. The goal is to eliminate the noisy warnings from the CLI output without impacting functionality.
🙌 OpenHands: Code Less, Make More
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OpenHands aims to simplify software development by reducing the amount of code required. Its key features (currently undefined in the provided context) are intended to boost developer productivity and allow for faster creation of applications.
AI Summary: The task is to evaluate whether the freeCodeCamp's 'pyramid generator' coding challenge's test cases are too strict. The current tests fail if a solution includes extra spaces to the right of the pyramid, even though the challenge's instructions don't explicitly forbid this. The solution requires either modifying the test cases to be more lenient or updating the challenge's instructions to clarify the spacing requirements.
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: The Prismic API now has a 6MB response size limit. The PHP Prismic client needs to be updated to handle this limitation. This involves detecting the 422 error, potentially splitting large requests into smaller ones, and gracefully handling the error to the user.
PHP Api Client for Prismic.io
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The `prismic-client` project provides a PHP API client for interacting with Prismic.io, a headless CMS. It simplifies the process of fetching and managing content from Prismic within PHP applications, streamlining content delivery and reducing development time.
AI Summary: The task involves improving the English language support in the Goruut IPA phonemizer/dephonemizer, specifically addressing issues with Google homograph disambiguation. This likely requires training or fine-tuning the existing grapheme-to-phoneme model on a larger and more diverse English dataset, potentially focusing on resolving ambiguities between words with identical spellings but different pronunciations.
IPA Phonemizer/Dephonemizer for 139 human languages
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Goruut is a powerful tool that solves the problem of converting text to and from International Phonetic Alphabet (IPA) transcriptions for 139 languages. Its key feature is its broad language support, enabling accurate phonemization and dephonemization across a diverse range of linguistic systems.
AI Summary: The task involves creating a policy brief document by copying existing content from a markdown file (`THE_MACHINERY_OF_ACCOUNTABILITY.md`), adding a short 10-line addendum detailing the implementation of a Wizard-of-Oz reverse study, and saving it to a specified location (`policy/human_attribution_policy_brief.md`). The document should adhere to specific formatting and include internal link checks.
A Blueprint for Systematic Systematic Discrimination Detection
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The 'watching_u_watching' project aims to address the problem of systematic discrimination by providing a blueprint for its detection. This blueprint focuses on systematic approaches to identify and analyze discriminatory patterns within datasets, enabling proactive mitigation strategies.
AI Summary: Implement a user interface that allows users to type and execute commands within the existing operating system kernel built using the provided Docker build process. This involves integrating a terminal-like input mechanism and command interpreter into the kernel.
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StarBloom-OSx64 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 identified.
AI Summary: Create a beginner-friendly guide to essential Linux commands, system updates, `sudo`, and `apt` for contributors to the CuMind MuZero RL project. The guide should include clear explanations, practical examples, and be easy to follow for users with little to no Linux experience.
CAIS Implementation of MuZero RL Algorithm
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CuMind implements the MuZero reinforcement learning algorithm using the CAIS framework. This project addresses the challenge of training complex agents in environments with imperfect information by leveraging MuZero's ability to learn a model of the environment and plan effectively. Key features include efficient CAIS integration and adaptation of the MuZero algorithm for optimal performance.
AI Summary: The task is to train new Taiwanese Hokkien and Min Nan grapheme-to-phoneme models for the Goruut project, incorporating support for eight tones. This involves identifying the Hugging Face dataset previously used and utilizing updated Python code to train the models. The goal is to improve the accuracy and tonal representation of the phonemizer for these languages.
IPA Phonemizer/Dephonemizer for 139 human languages
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Goruut is a powerful tool that solves the problem of converting text to and from International Phonetic Alphabet (IPA) transcriptions for 139 languages. Its key feature is its broad language support, enabling accurate phonemization and dephonemization across a diverse range of linguistic systems.
AI Summary: Correct a typo in the .NET Visual Basic documentation. The typo, "bas class", should be changed to "base class" in the description of the `Private Protected` access modifier within an existing summary table.
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: Enhance the Turso serverless JavaScript driver by adding an explicit `Error` type to improve error handling. This involves defining a custom error class or using a suitable existing library to provide more informative error objects for easier debugging and handling of exceptions within applications using the driver.
A serverless database driver for Turso Cloud. Connect to your database from serverless and edge functions.
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turso-serverless-experimental is a serverless database driver enabling seamless connection to Turso Cloud databases from serverless and edge functions. This eliminates the need for managing database connections within serverless environments, simplifying deployment and improving performance.
AI Summary: Refactor the Spring Boot CRUD API to improve code cleanliness and readability. This likely involves applying best practices for coding style, naming conventions, and potentially restructuring some parts of the codebase for better organization.
A simple CRUD REST API built with Spring Boot and Spring Data JPA. It provides Create, Read, Update, and Delete operations for managing products.
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springboot-crud is a Spring Boot REST API offering CRUD (Create, Read, Update, Delete) functionality for managing product data. It leverages Spring Data JPA for efficient database interaction, simplifying product management tasks.
A serverless database driver for Turso Cloud. Connect to your database from serverless and edge functions.
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turso-serverless-experimental is a serverless database driver enabling seamless connection to Turso Cloud databases from serverless and edge functions. This eliminates the need for managing database connections within serverless environments, simplifying deployment and improving performance.
AI Summary: Implement a feature in the Mockiato Chrome extension to display comments inline with response mocks in the DevTools UI. This involves modifying the UI to show a truncated comment next to each mock, with a tooltip showing the full comment on hover. The implementation should handle comments of varying lengths and ensure the UI remains clean and user-friendly.
Chrome extension for mocking HTTP requests
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mockiato is a Chrome extension that simplifies testing by mocking HTTP requests. It allows developers to intercept and customize network responses without modifying the application's code, streamlining the testing process and improving development efficiency.
AI Summary: The task is to divide the work among team members for building a food ordering website. This involves assigning responsibilities for frontend (Next.js, Typescript), backend (Django, Python), database (PostgreSQL), and various features (user accounts, restaurant management, order processing, admin panel) based on the project description and use cases outlined.
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The Food-Ordering-Web project addresses the need for a convenient online platform to order food. It offers a user-friendly interface for browsing menus, placing orders, and managing accounts, streamlining the food ordering process.
AI Summary: Update the documentation for the `azurerm_function_app_flex_consumption` resource to include 512 MB as a supported value for the `instance_memory_in_mb` argument. This involves correcting the list of supported values in the Terraform Registry documentation to reflect that 512 MB is now a valid option.
Terraform provider for Azure Resource Manager
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The terraform-provider-azurerm project allows infrastructure-as-code management of Azure resources using HashiCorp Terraform. It solves the problem of manually configuring and managing Azure infrastructure by providing a declarative approach, enabling automation and version control of Azure deployments. Key features include support for a wide range of Azure services and resources, ensuring comprehensive infrastructure management.
AI Summary: Implement 'Collapse All' and 'Expand All' buttons for response mock groups in the Mockiato Chrome extension's DevTools panel. The buttons should be located in the top sticky bar and optionally persist the last selected state (collapsed or expanded) across sessions.
Chrome extension for mocking HTTP requests
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mockiato is a Chrome extension that simplifies testing by mocking HTTP requests. It allows developers to intercept and customize network responses without modifying the application's code, streamlining the testing process and improving development efficiency.
AI Summary: Implement additional UI themes (pastel, liquid glass, skeuomorphic) for the Memoir Clipper browser extension. This involves extending the existing style management system to support new color palettes, dimensions, and style overrides for buttons, dropdowns, toolbars, and toggles, ensuring visual consistency and accessibility across all themes.
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The memoir-clipper-extension project lacks a description and README, making its purpose and features unclear. Without further information, it's impossible to summarize its problem-solving capabilities or key functionalities.
AI Summary: The task is to add support for PowerPC64 CPUs to the libcpuid library. This involves implementing CPU detection and feature extraction for the PowerPC64 architecture, similar to the existing support for x86 and ARM architectures. It may require understanding the PowerPC64 instruction set and accessing relevant CPU registers.
a small C library for x86 CPU detection and feature extraction
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libcpuid is a lightweight C library designed to identify x86 processors and extract their feature sets. It provides a simple interface for accessing crucial CPU information, enabling applications to adapt to different hardware capabilities.
🌊 Official repository for the CIOOS Guide — a comprehensive collection of documentation, best practices, and onboarding resources for the Canadian Integrated Ocean Observing System. Built with MkDocs and published via GitHub Pages.
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The cioos-siooc-guide project provides a centralized repository of documentation, best practices, and onboarding materials for the Canadian Integrated Ocean Observing System (CIOOS). It addresses the need for easily accessible and standardized information, improving collaboration and efficiency within the CIOOS community. The guide is built using MkDocs and hosted on GitHub Pages for convenient access.
AI Summary: Investigate the use of `u64` for gas price in legacy transactions within the ethrex L1 client. Determine if the current implementation is correct or if it should be changed to `U256` for compatibility and to prevent potential overflow issues. If the current implementation is correct, close the issue; otherwise, make the necessary code changes.
Minimalist, stable, modular and fast implementation of the Ethereum protocol in Rust
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Ethrex is a high-performance, modular Ethereum protocol implementation written in Rust. It addresses the need for a stable and efficient Ethereum client by prioritizing minimalism and speed, offering developers a robust foundation for building decentralized applications.
AI Summary: Debug a visual glitch in the Kibana data view creation flyout that occurs only when accessing the creation page from a different page within the application. The issue manifests as the flyout opening twice, creating a visual overlap. The task involves investigating the reported behavior across different Kibana and browser versions, analyzing browser console logs and potentially reviewing Kibana's source code to identify the root cause of the duplicated flyout rendering.
Your window into the Elastic Stack
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Kibana is a data visualization and exploration tool for the Elastic Stack, enabling users to easily analyze and understand data from various sources. Key features include dashboards, visualizations, and reporting capabilities, solving the problem of making complex data readily accessible and interpretable.
AI Summary: The GodInject dependency injection library for Godot needs a bug fix. The code generator currently fails to remove generated partial classes when `[Inject]` attributes are deleted from a file, resulting in build failures. The fix requires updating the generator to correctly handle the removal of these attributes.
GodInject is a dependency injection library based on DryIoc, adding injection tags, automatic resolving and more. It simplifies dependency management with minimal setup.
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GodInject streamlines dependency injection in .NET applications by building upon DryIoc. It simplifies dependency management through features like injection tags and automatic resolution, minimizing boilerplate code and configuration.
AI Summary: Modify the Flowkeeper application to only display a delete confirmation dialog when deleting backlogs or "Do something" tasks that contain entries (work estimated or logged). Empty backlogs and tasks should be deleted immediately without confirmation.
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: Debug a bug in the Transformer Lab application where the System Message field sometimes appears blank when starting a model. The issue seems intermittent and might be related to initial loading or state management. The fix likely involves inspecting the application's state handling and data flow to identify why the field isn't populated correctly in certain instances.
Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
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transformerlab-app is an open-source application enabling users to interact with, train, fine-tune, and evaluate large language models locally. It solves the problem of accessibility to advanced LLM engineering by providing a user-friendly interface for complex tasks, eliminating the need for extensive cloud resources.
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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. Further information is needed to provide a meaningful summary.
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This project is a VS Code extension, but lacks a description and README to detail its functionality. Therefore, its problem-solving capabilities and key features remain undefined.
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This project is a VS Code extension, but lacks a description and README to detail its functionality. Therefore, its problem-solving capabilities and key features remain undefined.
AI Summary: Debug and fix a race condition in the Backflow project that causes key release events to be dropped when receiving rapid input, particularly noticeable when using the web-based slider keyboard emulation. This involves analyzing logs, understanding the interaction between the WebSocket server, input processing, and uinput, and implementing a solution to ensure reliable key release event handling.
I/O shim for rerouting non-HID data into InputPlumber HID events
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Backflow solves the problem of integrating non-HID devices with systems expecting HID events by acting as an I/O shim. It reroutes data from various sources into standardized InputPlumber HID events, enabling seamless interaction with applications designed for HID input.
AI Summary: Resolve type hinting issues in the `asyncev` Python library. The `asyncev.BaseEvent` abstract base class is causing type checking errors because subclasses aren't correctly recognized as fulfilling the base class's role in function signatures. The solution likely involves refining type hints to explicitly allow subclasses of `asyncev.BaseEvent` where appropriate, potentially using type unions or generics.
Asyncronous named events for python
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asyncev provides a simple yet powerful solution for managing asynchronous named events in Python. It allows for efficient communication and synchronization between different parts of an asynchronous application, simplifying complex event-driven architectures.
AI Summary: Configure and run the Spring Boot application for the first time. This involves setting up the development environment and executing the API.
Projeto do módulo de Spring Boot do curso Batismo de Java do Fiasco
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This Spring Boot project, part of the Fiasco's 'Batismo de Java' course, focuses on creating a ninja registration API. It addresses the need for a robust and efficient system for managing ninja data, offering key features such as user registration and data persistence.
AI Summary: Add a configuration option to the Lexical CheckListPlugin to disable automatic focus on click, improving mobile usability by preventing unwanted keyboard appearance. This involves modifying the `handleClick` function in `checkList.ts` to conditionally apply focus based on the new configuration parameter.
Lexical is an extensible text editor framework that provides excellent reliability, accessibility and performance.
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Lexical is a robust and performant text editor framework designed to address the need for reliable and accessible text editing solutions. Its extensible architecture allows for customization and integration with various features, ensuring a highly adaptable and powerful editing experience.
AI Summary: The task is to debug a change in Visual Studio Code's task handling. Specifically, the issue is that tasks using the `${input}` variable with a `command` type no longer allow abandonment by returning `undefined`, unlike the `pickString` type. The solution likely involves modifying the `baseConfigurationResolverService.ts` file to correctly handle `undefined` or `null` return values from commands, ensuring that tasks can be abandoned as intended.
Visual Studio Code
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Visual Studio Code (VS Code) is a free, open-source code editor that solves the problem of needing a powerful and versatile development environment. Its key features include intelligent code completion, debugging support, Git integration, and extensibility through a vast marketplace of extensions.
AI Summary: The task is to determine how to divide work among a team. The provided context offers no details about the project or the nature of the work, making task allocation dependent on further information.
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This project, E-learning, addresses the need for accessible and flexible education by providing online learning resources. Key features would include (though specifics are undefined given the lack of description) course materials, assessments, and potentially interactive elements.
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The project `android_device_samsung_b0s` 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 two attack targeting modes for champions in a MOBA game: 'Attack All' and 'Attack Champions Only'. This involves modifying the game engine (Rust) to handle the new targeting logic, updating the client (Go) to allow players to switch modes, and ensuring proper synchronization between the client and server. The change requires adding a new field to the Champion entity, modifying attack logic, creating new or extending existing packet types for communication, and implementing UI elements in the client.
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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.
AI Summary: The task is to add a new section or solution to the USACO Guide's Platinum level, specifically addressing the Inclusion-Exclusion Principle and potentially covering problems like those found on CSES—Counting Reorders, which currently lack explanations 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: The task involves fixing a bug in a React/TypeScript running tracker application where the stats page displays 'NaNm NaNs' due to improper handling of NaN values in duration calculations. This requires updating the `formatDuration` function to handle NaN, null, and undefined inputs, adding safe calculation helpers, and updating affected components to use these safe calculations. Thorough testing is needed to ensure all edge cases are covered and the issue is resolved.
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The `running-app-mvp` project is a minimum viable product (MVP) for a running application. While details are currently unavailable, it aims to solve the problem of providing basic running tracking and potentially other related features for users.
AI Summary: Update the documentation for the `cooklang-py` Python library to correct the default values for the `quantity` attribute in `Ingredient` and `Cookware` objects. The current documentation incorrectly states the defaults as 'some' and 1, respectively; they should be updated to reflect the correct default of `None`.
Pythonic Parser for Cooklang
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cooklang-py is a Python library that parses Cooklang recipes, a human-readable format for describing recipes. It solves the problem of easily integrating and manipulating recipe data programmatically by providing a robust and Pythonic parser.
AI Summary: Refactor the Mastra Hono server's route definitions from a single file into separate files organized by namespace (e.g., agents, networks, workflows). This involves creating new route files for each namespace, importing necessary handlers, configuring Hono groups, updating the main server file to mount these groups, and ensuring no functionality loss or breaking changes.
The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.
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Mastra is a TypeScript framework for building AI agents, enabling easy integration with various LLMs like GPT-4, Claude, and Llama. It simplifies the development of AI assistants and RAG applications, offering features like built-in observability for enhanced monitoring and debugging.
AI Summary: Debug the `easyeda` package to identify why it fails to fetch and convert JLCPCB part number C9900037709. This likely involves inspecting the `fetchEasyEDAComponent` and `convertRawEasyEdaToTs` functions for potential errors in handling API responses or data transformations, potentially including network issues or incorrect part number handling within the JLCPCB API.
Convert easyeda JSON PCB footprints into tscircuit json
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The easyeda-converter project addresses the incompatibility between EasyEDA and tscircuit's PCB footprint formats by providing a tool to translate EasyEDA's JSON footprint data into the tscircuit JSON format. This allows users to seamlessly transfer their footprints between the two platforms, saving time and effort in the PCB design process.
DSA Würfel-App
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eorla is a dice rolling app designed for use in tabletop games and other activities requiring dice rolls. It offers a user-friendly interface for selecting various dice types and quantities, providing a convenient digital alternative to physical dice.
AI Summary: Implement a new Lance sink connector for Apache SeaTunnel, enabling data writing to Lance datasets. This involves creating a connector that utilizes the Lance Java API to handle distributed writes, potentially leveraging existing SeaTunnel connector patterns.
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
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SeaTunnel is a high-performance, distributed data integration tool designed to efficiently handle massive datasets. It solves the problem of complex and large-scale data integration by providing a robust and scalable solution for moving and transforming data between various sources and destinations.
AI Summary: The task involves reviewing a JSON file (Emerged_Empire_Metadata.json) related to an NFT song within the context of a larger project involving AI-powered 3D animation and Skyrim modding. The goal is likely to assess the JSON's relevance or integration into the project, potentially for metadata management or integration with the project's NFT aspects.
GG,JIM,GG,CIA,GG,JUUSO!
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The provided project description is insufficient to determine its purpose or features. The project name 'GG' and the seemingly random string of names offer no insight into its functionality or the problem it solves.
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The provided project information is insufficient to generate a meaningful summary. There is no description or README available to understand the project's purpose, functionality, or features.
AI Summary: The task involves modifying the Adiar C++ codebase to hide overloads using the `exec_policy` parameter from the Doxygen-generated documentation. This will improve the readability of the documentation by removing unnecessary detail, while still documenting the purpose of `exec_policy` in the header files.
An I/O-efficient implementation of (Binary) Decision Diagrams
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Adiar is an I/O-efficient library for Binary Decision Diagrams (BDDs), addressing the performance bottleneck of BDD manipulation on large datasets that don't fit in memory. Its key features include optimized I/O operations and efficient algorithms for BDD construction and manipulation, enabling the processing of significantly larger BDDs than traditional in-memory implementations.
AI Summary: Create a `requirements.txt` file listing all project dependencies and their versions, ensuring consistent environments across developers. This involves analyzing the `pyproject.toml` file to extract the necessary packages and versions.
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Insufficient information is provided to summarize the project 'byzfedau'. The description and README are undefined, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: Investigate and implement data compression techniques for the timezone data within the `timezonefinder` Python package to reduce its disk footprint (currently >60MB). This involves exploring options like using 16-bit integers instead of 32-bit integers, analyzing the impact on precision (especially near the equator), and balancing file size reduction with maintaining the library's accuracy and speed. The goal is to optimize the package size without sacrificing its unique selling point of high precision.
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: Research and add an appropriate open-source license (e.g., MIT, GPL, Apache) to the DDDS.18 Capstone project repository. This involves understanding different license types and choosing one that aligns with the project's goals and requirements.
Repo for DDDS.18 Capstone
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The ddds.18.capstone project is a capstone project for the DDDS.18 course. Further details about the project's problem and features are unavailable due to the lack of information in the provided context.
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The planicash_app project aims to solve the problem of [insert problem planicash_app solves here, e.g., inefficient personal finance management]. Key features are currently undefined due to missing project description and README.
mnorthrop152
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The provided information for project 'mnorthrop152-' is insufficient to generate a meaningful summary. There is no description or README available to understand its purpose or features.
AI Summary: Migrate the `config` module from `weathergen.utils` to `weathergen.common` to improve dependency management. This involves updating import paths in all modules currently using `utils.config`.
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: Fix the price sorting functionality in the `index.php` and `search.php` files of a 3D printing filament database. The current sorting is incorrect and needs to be debugged and corrected to ensure accurate price-based ordering.
A DB for 3D-printing filament with costomizable UI/UX
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Filament-DB solves the problem of managing and tracking 3D printer filament inventory. Its key feature is a customizable UI/UX allowing users to easily input, search, and organize their filament collection, including details like color, material, and cost.
AI Summary: The task is to rename the default branch of the GraphFrames repository from "master" to "main". This involves updating the repository's settings and potentially updating any references to the "master" branch in the project's documentation and scripts. It's an infrastructure-related task.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
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GraphFrames solves the problem of graph processing within the Apache Spark ecosystem by providing a DataFrame-based graph API. Key features include efficient graph algorithms and convenient DataFrame integration for easier graph manipulation and analysis.
AI Summary: Review and provide feedback on the first prototype created on July 10th, 2025. This involves examining the provided image and potentially referencing the project's WELCOME guide for context.
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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. Further information is needed to provide a meaningful summary.
AI Summary: Add a `--hydration-tasks` argument to the `export` command of the `smart-fetch` tool, allowing users to specify which hydration tasks to run during export. This includes adding a `none` option to disable hydration entirely. The argument should accept a comma-separated list of tasks, mirroring the functionality of the existing `hydrate` command.
Extract FHIR data from your EHR easily and completely
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smart-fetch simplifies the extraction of complete FHIR data from Electronic Health Records (EHRs). It addresses the challenge of easily accessing and utilizing EHR data by providing a streamlined and comprehensive data retrieval process.
AI Summary: Design and implement a donation panel for the CasaDeJairo NGO website. This panel should provide users with various options for making donations.
Repositório do site da ONG CasaDeJairo
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Front_SiteCasaDeJairo is the front-end repository for the CasaDeJairo NGO website. It aims to provide a user-friendly online presence for the organization, showcasing their work and facilitating engagement with potential donors and volunteers.
AI Summary: The task involves extending the LLVM AArch64 backend's `computeKnownBitsForTargetNode` function to handle additional instruction types (AArch64ISD::MOVIshift, AArch64ISD::MOVIedit, AArch64ISD::MOVImsl, AArch64ISD::MVNIshift, AArch64ISD::MVNImsl) beyond the currently supported AArch64ISD::MOVI. This improvement will enhance the compiler's ability to perform optimizations by enabling better value tracking and constant folding.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
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The LLVM Project provides a suite of modular compiler and toolchain technologies, solving the problem of creating portable, optimized code for various architectures. Key features include a flexible intermediate representation (IR), extensive optimization passes, and support for diverse programming languages.
AI Summary: Modify the `ophyd-async` library's `CaSignalBackend` class to accept an `all_updates` argument, defaulting it to `True`. This change aims to improve debuggability by ensuring all updates from the EPICS channel access (CA) are processed, rather than dropping quick updates. The solution needs to maintain existing test functionality.
Hardware abstraction for bluesky written using asyncio
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ophid-async is a hardware abstraction layer for the bluesky data acquisition framework, built using asyncio for improved performance and responsiveness. It addresses the challenges of controlling and acquiring data from diverse hardware devices by providing a consistent, asynchronous interface.
AI Summary: Refactor the `validate_config` method within the `computation_graph` class to utilize a JSON schema validation library like `jsonschema` or `pydantic`, enhancing code readability and maintainability. This involves defining a JSON schema that reflects the expected configuration structure and integrating the chosen library to perform validation against this schema.
This repository provides the foundation for developing scalable, modular, and efficient model backends within the OneHealth Platform project
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The `onehealth-model-backend` project builds scalable and modular backends for machine learning models within the OneHealth Platform. It addresses the need for efficient model deployment and management, providing a foundation for integrating various models into the platform.
AI Summary: Implement support for custom fonts in Brave browser's reader mode across all platforms (Android, iOS, Linux, macOS, Windows). This involves adding a user interface element to select custom fonts and integrating the selected font into the reader mode rendering engine.
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: The task is to debug and fix a bug in the Angular v14 migration schematics. The schematics incorrectly handles destructured dependencies in constructors, leading to the removal of dependencies instead of proper migration to the `inject()` function. The solution involves analyzing the provided reproduction repository, identifying the root cause of the error in the schematics code, and implementing a fix that correctly handles destructured dependencies during the migration process.
Deliver web apps with confidence 🚀
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Angular is a platform for building complex web applications. It solves the problem of creating maintainable and scalable front-end code by providing a structured framework with features like component-based architecture, dependency injection, and a robust routing system.
AI Summary: The task is to revise the Blob API endpoints for the Calimero Network project. This involves defining the functionality for uploading, listing, fetching, checking availability, and deleting blobs using HTTP methods (PUT, GET, HEAD, DELETE). The endpoints should be designed to be efficient and secure, aligning with the Calimero Network's focus on data ownership and privacy.
Calimero 2.0
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Calimero 2.0, known as 'core', addresses the undefined problem (as the README is unavailable). Further details on its features and functionality are needed to provide a more complete summary.
A serverless database driver for Turso Cloud. Connect to your database from serverless and edge functions.
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turso-serverless-experimental is a serverless database driver enabling seamless connection to Turso Cloud databases from serverless and edge functions. This eliminates the need for managing database connections within serverless environments, simplifying deployment and improving performance.
AI Summary: Implement the missing functionality in the EV3 clock driver to provide sub-millisecond time readings, specifically the `pbdrv_clock_get_100us` function. This involves completing the 'TODO' items in the existing clock driver code and potentially implementing other related clock hooks. The task also indirectly relates to providing timer functionality for a PRU example.
Pybricks support and general discussion
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The 'support' project provides a forum for users to discuss and receive assistance with the Pybricks robotics platform. It offers a central location for troubleshooting, sharing solutions, and engaging in general discussions related to Pybricks programming and hardware.
AI Summary: Update the application installation process to utilize the new blob upload API endpoint introduced in pull request #1319, replacing the previous path-based installation flow. This ensures compatibility with the updated Calimero core functionality.
Calimero 2.0
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Calimero 2.0, known as 'core', addresses the undefined problem (as the README is unavailable). Further details on its features and functionality are needed to provide a more complete summary.
AI Summary: The task involves modifying the Envoy AI Gateway controller to dynamically create and manage two HTTP Route Filters per AIGatewayRoute, instead of statically generating them. This change will include adding owner references to ensure proper garbage collection when an AIGatewayRoute is deleted, preventing resource leaks. The implementation should mirror the approach used in issue #872.
Envoy AI Gateway is an open source project for using Envoy Gateway to handle request traffic from application clients to Generative AI services.
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Envoy AI Gateway is an open-source project that simplifies routing and managing traffic between application clients and generative AI services. It leverages Envoy Gateway to provide features like authentication, authorization, and rate limiting, ensuring secure and efficient access to AI models.
AI Summary: The task involves addressing a security warning that appears when users open the compiled executable of a Windows screen lock/unlock program. Solutions include disabling the security warning prompt, compiling the program locally using the provided batch script, or digitally signing the executable with a certificate (planned for future versions).
:shield: Login segundario para bloquear/desbloquear pantalla :desktop_computer:
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myLogin provides a secondary login mechanism to lock and unlock computer screens, enhancing security by adding an extra layer of protection beyond the primary login. This improves data privacy and prevents unauthorized access to the system.
AI Summary: Implement blob discovery in the Calimero Network using libp2p's Kademlia DHT. This involves determining whether to announce all blobs or only those deemed safe by a context-specific mechanism (potentially a wasm syscall). The solution needs to address potential conflicts when different contexts have differing opinions on blob announcement safety.
Calimero 2.0
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Calimero 2.0, known as 'core', addresses the undefined problem (as the README is unavailable). Further details on its features and functionality are needed to provide a more complete summary.
AI Summary: This task involves refining the frontend of TheSync application. Specific actions include removing a notification icon, cleaning up a dropdown profile menu, fixing bugs in lecturer filtering, status updates, and moderator assignments, adding new schema attributes for thesis limits per lecturer, and removing extra padding from the content area. The project uses Next.js, Ant Design, Tailwind CSS, and TypeScript.
Frontend for TheSync
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TheSync Frontend provides a user interface for interacting with TheSync application. It solves the problem of needing a user-friendly way to access and manage TheSync's features, offering a streamlined and intuitive experience.
AI Summary: Implement a `fletx test` command in the FletX CLI, leveraging pytest for running unit and integration tests. This involves updating the CLI entrypoint, creating a test runner utility, and documenting the new command. The command should support various pytest arguments like `-k`, `-v`, `--coverage`, and `--pdb` for flexibility and debugging.
The open-source GetX-inspired Python Framework for Building Reactive, Cross-Platform Apps with Flet
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FletX is an open-source Python framework that simplifies building reactive, cross-platform applications using Flet. It addresses the challenge of creating user interfaces easily and efficiently across multiple platforms by providing a GetX-inspired architecture for state management and streamlined development.
AI Summary: Modify the `meroctl app install` command to prevent it from including the local file path in the application's metadata. The current behavior is considered unnecessary, especially after the completion of issue #1329. The goal is to ensure the application's metadata is independent of the installation source path.
Calimero 2.0
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Calimero 2.0, known as 'core', addresses the undefined problem (as the README is unavailable). Further details on its features and functionality are needed to provide a more complete summary.
AI Summary: The task involves debugging and fixing a validation issue in the "I know a teacher" section of the Expensify app. The current validation incorrectly displays an error message when the first and last name fields are left empty. The correct behavior is to display an error message indicating that both fields are required. The fix requires understanding the existing validation logic, identifying the error, and implementing the correct validation for empty fields. Testing should be performed on both Windows and MacOS using Chrome and Safari 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: Modify the Calimero Network's context configuration synchronization to prevent it from attempting to fetch applications from local paths. The fix should ensure the sync operation succeeds even if an application is unavailable locally, as it will be fetched later during a state synchronization with a peer that possesses the application.
Calimero 2.0
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Calimero 2.0, known as 'core', addresses the undefined problem (as the README is unavailable). Further details on its features and functionality are needed to provide a more complete summary.
AI Summary: Implement error handling in the Turso serverless JavaScript driver to automatically re-prepare database statements if the server returns a 'statement evicted' error. This involves catching the specific error, closing the existing statement, and re-preparing it using the original query and parameters.
A serverless database driver for Turso Cloud. Connect to your database from serverless and edge functions.
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turso-serverless-experimental is a serverless database driver enabling seamless connection to Turso Cloud databases from serverless and edge functions. This eliminates the need for managing database connections within serverless environments, simplifying deployment and improving performance.
AI Summary: Implement a Zizmor feature that either recommends or requires the use of the `timeout-minutes` property in GitHub Actions workflows for all jobs to prevent runaway jobs from consuming excessive runner minutes. The implementation should consider that reusable workflows do not directly support this property, requiring a different approach for those cases.
Static analysis for GitHub Actions
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Zizmor is a static analysis tool designed to improve the security and reliability of GitHub Actions workflows. It identifies potential vulnerabilities and inefficiencies in workflow YAML files before execution, preventing costly errors and security breaches.
AI Summary: Integrate yamllint into the Helm chart documentation and schema generation tools to pre-validate the input values.yaml files for YAML syntax errors before processing, improving error messages and user experience.
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The `helm-chart-toolbox` project (assuming it exists and based on its name) likely aims to simplify the management and manipulation of Helm charts. It probably offers features such as chart linting, validation, and potentially automated tasks to streamline the Helm chart lifecycle.
AI Summary: The task is to modify the `TableFormat.java` class in the Apache Gravitino CLI client to correctly handle multi-byte characters in table output. This involves replacing the use of `str.length()` with `LineUtil.getDisplayWidth(str)` to accurately calculate string lengths, potentially requiring additional adjustments to ensure proper padding and alignment.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: Add Windows support to the `b` binary manager, including updating download logic to handle Windows file paths and extensions, modifying build scripts for Windows compatibility, implementing robust OS detection, using OS-agnostic path handling, thoroughly testing on Windows, and updating documentation.
🧙♂️ b is your one stop binary manager.
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b is a binary manager designed to simplify the process of managing and installing binaries. It streamlines the workflow by providing a centralized location for all your binary needs, eliminating the need for multiple individual installations and management processes.
AI Summary: Port existing unit tests from the `libsql-client-ts` repository to the new Turso serverless JavaScript driver. This involves adapting the tests to use the new driver's API while maintaining the same test coverage.
A serverless database driver for Turso Cloud. Connect to your database from serverless and edge functions.
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turso-serverless-experimental is a serverless database driver enabling seamless connection to Turso Cloud databases from serverless and edge functions. This eliminates the need for managing database connections within serverless environments, simplifying deployment and improving performance.
AI Summary: The task requires updating the styling of two dashboard cards (User Summary and Need Assistance) in a Kenyan payroll management system built with PHP and MySQL. The current styling uses white text on a light background, making it unreadable. The solution involves creating a reusable CSS class with consistent styling (glassmorphism and Kenya's dark green) and applying it to the affected cards, ensuring sufficient text contrast.
A comprehensive monolithic payroll management system built with PHP and MySQL, specifically designed for Kenyan employment structure and statutory compliance requirements.
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The Kenyan Payroll System is a PHP and MySQL-based application addressing the need for a compliant and efficient payroll solution in Kenya. It handles the complexities of Kenyan employment law and statutory deductions, providing a comprehensive management system for payroll processing.
AI Summary: Add support for MinIO object storage to the Ossify command-line tool. This involves adding MinIO to the `StorageProvider` enum, handling MinIO-specific environment variables (MINIO_*) and configuration, and integrating with OpenDAL to utilize MinIO's S3-compatible API. The implementation should include appropriate error handling and testing.
An oss utils written by rust.
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Ossify is a collection of operating system utilities written in Rust. It aims to provide robust and efficient tools for common system administration tasks, offering a performant alternative to existing solutions.
AI Summary: Modify the Discord bot's `/debug last_actions` command to only display AI actions from the server the command is executed in. Rename the command to `/last_actions`, and improve its user interface by adding interactive buttons for easier navigation and use by administrators.
Open-source discord bot for server moderation, including AI features
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openguard is an open-source Discord bot designed to automate server moderation tasks. It leverages AI capabilities to enhance its effectiveness and offers a range of features to help maintain a healthy and productive server environment.
AI Summary: The user needs help installing and running the Restreamer application on Windows 10 using Docker Desktop. They are encountering database errors when running the Docker image directly and syntax errors when attempting to use the command-line instructions provided in the README. A simplified, step-by-step guide for Windows 10 installation, specifically addressing potential database issues and clarifying the command-line instructions, is required.
The Restreamer is a complete streaming server solution for self-hosting. It has a visually appealing user interface and no ongoing license costs. Upload your live stream to YouTube, Twitch, Facebook, Vimeo, or other streaming solutions like Wowza. Receive video data from OBS and publish it with the RTMP and SRT server.
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Restreamer is a free, self-hostable streaming server offering a user-friendly interface to simultaneously broadcast live streams to multiple platforms like YouTube, Twitch, and Facebook. It supports various input methods including OBS and utilizes RTMP and SRT protocols for efficient publishing.
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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 context only gives a project description placeholder and an issue ID with an encrypted or encoded description ('y0hPSvmzaPQSnggMrudXHiqA3ixHvbHJOUfb3Aje'). To understand the task, the actual project description and a decrypted/decoded issue description are needed. Without this information, the task cannot be explained.
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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 project and issue information is insufficient to determine the required task. The project description and README are missing, and the issue description ('SUAxtI2p4auzkKyVxG5Gtl7W4kONU5503U88Mtnp4') appears to be a random string of characters, not a meaningful description. 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.
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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 information is insufficient to determine the required task. The project description and README are missing, and the issue description ('GWortqlDnppv39iI0UoaFCbqQOG3hQ') appears to be a random string, offering no context about the needed action.
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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.
Toy Examples for ClimaCoupler.jl
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clima-playground provides toy examples for ClimaCoupler.jl, demonstrating how to couple different climate models. It simplifies the process of understanding and experimenting with model coupling, making it easier for users to learn and build upon.
AI Summary: Manually upgrade outdated Bootstrap, jQuery, Leaflet, and Font Awesome webjars in multiple Java/Kotlin quickstart projects. Thorough UI testing of each quickstart is required after the upgrade to ensure functionality remains intact.
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
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The timefold-quickstarts project provides pre-built examples to rapidly solve various planning problems like vehicle routing, employee scheduling, and task assignment. It simplifies the process of using Timefold to optimize these complex scenarios, allowing users to quickly get started and achieve efficient solutions.
AI Summary: Modify the Adiar BDD library's `bdd_topvar()`, `bdd_minvar()`, and `bdd_maxvar()` functions to handle terminal nodes gracefully. Instead of throwing an exception when called on a terminal node, these functions should return `bdd::max_label+1`.
An I/O-efficient implementation of (Binary) Decision Diagrams
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Adiar is an I/O-efficient library for Binary Decision Diagrams (BDDs), addressing the performance bottleneck of BDD manipulation on large datasets that don't fit in memory. Its key features include optimized I/O operations and efficient algorithms for BDD construction and manipulation, enabling the processing of significantly larger BDDs than traditional in-memory implementations.
AI Summary: Integrate DashScope's translation model into the Spring AI Alibaba framework. This involves extending the existing model support to include DashScope's capabilities, potentially requiring modifications to existing code and the addition of new functionalities to handle the translation process. The task is related to a previous issue (#1578) and references Aliyun's Gummy speech recognition and translation service as a guide.
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.
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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 about the website brisbanesocialchess.github.io.
AI Summary: The task is to resolve type hinting errors ('mypy issues') within the `gdsfactory` Python library, specifically in the `bend_euler.py` and `get_netlist.py` files. The errors relate to function return types and argument type mismatches, requiring adjustments to function signatures and potentially internal logic to ensure type correctness.
A Python library for designing chips (Photonics, Analog, Quantum, MEMS), PCBs, and 3D-printable objects. We aim to make hardware design accessible, intuitive, and fun—empowering everyone to build the future.
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gdsfactory is a Python library simplifying the design of various hardware components, including photonic, analog, quantum, MEMS chips, PCBs, and 3D-printable objects. It aims to make hardware design more accessible and intuitive by providing a user-friendly interface and powerful design tools.
AI Summary: Debug and fix a bug in OAuth2-Proxy v7.9.0 where the `OAUTH2_PROXY_ALLOWED_GROUPS` configuration fails when a single group is specified, but works correctly with multiple groups. The issue involves incorrect parsing or evaluation of the allowed groups when only one group is provided. The solution requires analyzing the authorization flow, particularly the group membership check logic within the specified version of OAuth2-Proxy, to identify and correct the parsing error.
A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
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oauth2-proxy solves the problem of securing internal applications by providing authentication via various identity providers like Google, Azure, and OpenID Connect. It acts as a reverse proxy, handling authentication and authorization before forwarding requests to the protected application, simplifying secure access management.
AI Summary: Write a user-facing explanation highlighting the importance of the description field in the Citation Service. The explanation should cover where the description will be used and provide a clear example of expected content. This is for a testing-only repository for the Essential Model Documentation (EMD), which will integrate with CVs and Universe Repos.
TESTING ONLY: Development repository for the EMD. This will link into the CVs and Universe Repos.
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Essential-Model-Documentation (EMD) aims to improve model documentation by centralizing information and linking it to relevant CVs and Universe Repos. This solves the problem of scattered and inconsistent model documentation, improving accessibility and maintainability.
AI Summary: The task involves modifying the `replace_type` enum in the Adiar project to include an `Auto` option, simplifying API usage. This requires shifting existing enum values, adding `Auto`, refactoring function overloads in `internal/algorithms/replace.h`, and updating function calls to utilize the new `Auto` option and default values.
An I/O-efficient implementation of (Binary) Decision Diagrams
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Adiar is an I/O-efficient library for Binary Decision Diagrams (BDDs), addressing the performance bottleneck of BDD manipulation on large datasets that don't fit in memory. Its key features include optimized I/O operations and efficient algorithms for BDD construction and manipulation, enabling the processing of significantly larger BDDs than traditional in-memory implementations.
AI Summary: Write unit tests using pytest for the `jam_to_js` function, covering basic math, variable declarations, and simple control flow (if, repeat) statements. The tests should be placed in a new `tests/test_transpiler.py` file.
Jam to JavaScript transpiler & interpreter for educational coding. Converts Jam code to JS or runs it directly. Perfect for learning programming concepts.
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Jam-backend is an educational tool that transpiles or interprets a simplified 'Jam' language into JavaScript. This allows students to learn fundamental programming concepts without the complexities of JavaScript syntax, making the learning process easier and more accessible.
AI Summary: The task is to debug a bug in the ImprovedTube YouTube extension where YouTube playlist thumbnails appear distorted in Firefox. The bug seems to be directly caused by the extension, as disabling it resolves the issue. Debugging requires investigating the extension's code to identify which part interacts negatively with the playlist thumbnail rendering in Firefox version 140.0.4. The solution likely involves modifying the extension's code to fix the incompatibility.
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: Convert the existing 'Renamer' Framer plugin from Svelte to React. This involves refactoring the codebase, updating dependencies to align with the rest of the (React-based) project, and resolving any compatibility issues arising from the framework change.
A collection of example Framer Plugins.
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This project provides a collection of example Framer plugins, demonstrating various functionalities and serving as a resource for learning plugin development. It solves the problem of lacking readily available examples for Framer plugin creation, aiding developers in building their own custom plugins.
AI Summary: Enhance the existing Framer plugin for Airtable integration to allow specifying whether attachments are videos or audio files during mapping. This will enable direct use with Framer's video/audio components and improve file type handling.
A collection of example Framer Plugins.
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This project provides a collection of example Framer plugins, demonstrating various functionalities and serving as a resource for learning plugin development. It solves the problem of lacking readily available examples for Framer plugin creation, aiding developers in building their own custom plugins.
AI Summary: The task involves reviewing and merging a pull request (#21923) that optimizes AES-128-CBC decryption performance on RISC-V architecture for the OpenSSL library. This includes assessing the code changes for correctness, security, and performance improvements.
TLS/SSL and crypto library
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OpenSSL is a robust, open-source toolkit providing a comprehensive cryptographic library (libcrypto) and secure communication protocol implementations (libssl) for TLS/SSL, DTLS, and QUIC. It offers a command-line tool for various cryptographic tasks and is widely used for secure networking and data protection.
AI Summary: Debug an Astro v5.11.0 project experiencing a middleware loading error during development (`pnpm run dev`). The error message points to invalid JS syntax in an imported middleware file, possibly due to a missing `.jsx` or `.tsx` extension or other syntax issues. The task involves examining the provided minimal reproducible example repository to identify and correct the syntax error causing the middleware loading failure.
The web framework for content-driven websites. ⭐️ Star to support our work!
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Astro is a web framework designed for building content-focused websites quickly and efficiently. It prioritizes performance by pre-rendering content and only loading necessary JavaScript, solving the problem of slow, bloated websites common with other frameworks. Key features include static site generation, partial hydration, and excellent integration with various content sources.
AI Summary: Implement new thought processes for newborn cats in the Warrior Cats fan game "ClanGen", specifically adding thoughts for various cat types (including those not currently considered, like dead cats) related to the birth event, such as wondering about names, visiting the nursery, or StarClan dreams.
Warrior Cats fan game
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Clangen is a fan-made game based on the Warrior Cats book series. It aims to provide an interactive experience for fans, allowing them to explore the world and characters of the books in a new way. Key features are currently undefined, as the project is in early stages.
AI Summary: The task is to debug and fix a bug in the ReportPortal UI that prevents users from being invited. This involves analyzing the provided screenshot and error message (if available), investigating the relevant code within the `service-ui` repository, identifying the root cause of the issue, and implementing a solution to allow user invitations to function correctly.
Main Repository. ReportPortal starts here - see readme below.
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ReportPortal is a comprehensive test reporting tool that addresses the need for centralized, unified reporting across various testing frameworks. Its key features include detailed test result visualization, flexible integrations, and robust analytics to improve software quality and development efficiency.
AI Summary: Investigate and implement automated JSON and YAML formatting and validation within the pre-commit hooks for the Brisbane Social Chess website project. The goal is to improve the consistency and correctness of JSON and YAML files, automating as much of the process as possible while acknowledging that some manual review may still be necessary.
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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 about the website brisbanesocialchess.github.io.
AI Summary: Create a comprehensive README file for a blog application. The README should include a project title and description, the technology stack used, installation and setup instructions, a usage guide with screenshots (if available), and contact/credit information.
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The blog-application project is a missing project description, therefore no problem it solves or key features can be identified.
AI Summary: Develop a Next.js based dashboard for exosphere.host, enabling users to easily interact with the platform's APIs for managing satellites and clusters. This involves scaffolding the initial structure of the dashboard and potentially integrating with existing API endpoints.
Mono repo for exosphere.host to simplify infrastructure once and for all.
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exospherehost is a monorepository designed to streamline and simplify the infrastructure for exosphere.host. It aims to consolidate various components into a single, manageable codebase, improving maintainability and reducing operational complexity.
AI Summary: The task involves refactoring the Adiar project to replace all occurrences of `std::string` used for file paths with `std::filesystem::path`. This improves code clarity and leverages the features of `std::filesystem::path`. The issue lists specific locations within the codebase requiring this change.
An I/O-efficient implementation of (Binary) Decision Diagrams
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Adiar is an I/O-efficient library for Binary Decision Diagrams (BDDs), addressing the performance bottleneck of BDD manipulation on large datasets that don't fit in memory. Its key features include optimized I/O operations and efficient algorithms for BDD construction and manipulation, enabling the processing of significantly larger BDDs than traditional in-memory implementations.
AI Summary: Debug and fix a bug in the New Expensify onboarding flow where refreshing the page during the 'Do you use any accounting software?' step causes an unexpected route change to the 'personal-details' page, prematurely ending the onboarding process. The bug is reproducible on both staging and production environments across various browsers on Windows and MacOS. The fix should ensure that the user remains on the current page after a refresh.
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 user needs help integrating Healenium with the BrowserStack SDK in Python. The current approach using `webdriver.Remote` with a Healenium URL doesn't seem to engage Healenium's healing capabilities when using the BrowserStack SDK. The goal is to leverage BrowserStack's infrastructure while still utilizing Healenium's self-healing features for Selenium tests.
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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 investigate and resolve the incompatibility between the project's dependencies (specifically torchvision) and Python 3.13. This involves either finding a compatible torchvision version for Python 3.13, or pinning the project to Python 3.12 to ensure consistent functionality.
Stochastic Parameter Decomposition
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The spd project addresses the challenge of decomposing stochastic parameters, enabling a more nuanced understanding of complex systems with inherent uncertainties. Key features likely include algorithms and methods for efficient and accurate decomposition, potentially offering insights into variability and sensitivity analysis.
AI Summary: Modify the `smart-fetch` command-line tool to accept the `--type` argument multiple times, either as repeated flags or as a comma-separated list, mirroring the existing functionality of `--type-filter`. This involves adapting existing code from Cumulus ETL to handle multiple occurrences of the `--type` argument.
Extract FHIR data from your EHR easily and completely
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smart-fetch simplifies the extraction of complete FHIR data from Electronic Health Records (EHRs). It addresses the challenge of easily accessing and utilizing EHR data by providing a streamlined and comprehensive data retrieval process.
AI Summary: Fix a bug in the Apollo C# code editor where renaming a file appends the original extension if a new extension is provided, resulting in incorrect filenames (e.g., renaming a `.cs` file to `.html` results in `.html.html.cs`). The solution involves modifying the `RenameFileDialog.razor` component to prevent redundant extension appending when renaming files with different extensions.
A WebAssembly powered c# code editor, running entirely in your browser
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Apollo is a WebAssembly-based C# code editor that runs directly in your browser, eliminating the need for local installations. Its key feature is providing a fully functional C# development environment accessible from any device with a web browser, solving the problem of platform-dependent development environments.
AI Summary: The task is to decide whether to pursue DMCA action against Vue Bits for allegedly copying Inspira UI Pro components or to open-source those components. This requires weighing legal options against community benefits and maintaining transparency with users.
Build beautiful website using Vue & Nuxt.
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Inspira-UI is a Vue and Nuxt-based project that simplifies the creation of aesthetically pleasing websites. It streamlines the development process by providing pre-built components and a focus on beautiful design, allowing developers to quickly build visually appealing web applications.
AI Summary: Implement a final check in the WorMe software to ensure the skeletonized object representing a *C. elegans* worm consists of only a single continuous branch, preventing multiple branches or disconnected segments. This involves adding a validation step after the skeletonization process to detect and potentially flag or correct instances of multiple branches.
Software for Caenorhabditis elegans length determination
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WorMe is software designed to efficiently and accurately measure the length of Caenorhabditis elegans nematodes. It streamlines the process of length determination, improving the speed and consistency of data collection for research involving this model organism.
AI Summary: Write unit tests for the SignUpForm in a Django project. This involves creating test cases for valid and invalid form data, verifying data validation, and confirming the successful creation of user accounts and profiles upon saving.
This is a Python/Django based event management system. A meetup clone.
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Meethub is a Python/Django-based event management system, similar to Meetup.com, designed to simplify the process of organizing and attending events by providing a centralized platform for event creation, management, and participation.
AI Summary: The task is to investigate and resolve inconsistencies in the `lydata` Python package's handling of combined diagnostic modalities. Specifically, the current maximum likelihood method for combining imaging and pathology data can produce inconsistent diagnoses at different levels (sublevel, superlevel). The goal is to modify the combination algorithm to ensure consistent diagnoses across all levels, potentially by altering the order of operations or implementing a conflict resolution strategy.
Python package for programmatic access to the lyDATA tables as well as utilities to handle the datasets.
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The lydata-package is a Python library providing programmatic access to lyDATA tables. It simplifies data interaction and offers utility functions for efficient dataset handling, streamlining data analysis workflows.
AI Summary: Enhance the Expensify invite confirmation page to display a list of invited members with their names, emails, and phone numbers instead of just avatars. This requires modifying the UI to handle member data and potentially adjust the display for a large number of invitees.
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: Create a new Rust crate `wms-planner` for a warehouse management system. This crate will implement a task planning module, starting with a simple greedy algorithm to assign tasks to workers (robots or humans). The design should be extensible to support more sophisticated planning algorithms in the future. This involves defining core traits, implementing the greedy planner, writing unit tests, and updating the workspace's Cargo.toml.
Warehouse Management System
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wms-rs is a Warehouse Management System (WMS) designed to streamline warehouse operations. It addresses the challenges of inventory tracking, order fulfillment, and resource allocation by providing a robust and efficient system for managing warehouse activities.
AI Summary: The task requires writing unit tests for the `app-path` crate to verify its behavior when the executable is a symbolic link. This involves creating symlinks to the test executable, checking if `app_path` resolves paths relative to the symlink or the original executable, documenting the observed behavior, and adding the tests to the existing test suite. The tests should handle both relative and absolute symlinks and be conditionally compiled for Unix/Linux systems.
Create file paths relative to your executable for truly portable Rust applications. Zero dependencies, cross-platform, simple API.
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app-path-rs solves the problem of creating portable Rust applications by generating file paths relative to the executable's location. Its key features include zero dependencies, cross-platform compatibility, and a straightforward API for easy integration.
AI Summary: The task is to determine how to efficiently query and aggregate time-series data from openGemini, specifically addressing a scenario where data within certain time ranges should be excluded from the aggregation. The user has demonstrated a query that doesn't work as expected and needs a solution that handles multiple, non-contiguous time ranges.
CNCF sandbox project, an open source distributed time-series database with high concurrency, high performance, and high scalability
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openGemini is an open-source, distributed time-series database designed to address the challenges of high concurrency, performance, and scalability in managing large volumes of time-stamped data. Key features include its distributed architecture and focus on efficient data ingestion and retrieval.
AI Summary: Add unit tests to the `app-path` crate to verify its functionality with Windows UNC paths. This involves creating test cases that cover path creation, resolution, and error handling when the executable resides on a UNC share. The tests should be conditionally compiled for Windows only and provide informative error messages for failures.
Create file paths relative to your executable for truly portable Rust applications. Zero dependencies, cross-platform, simple API.
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app-path-rs solves the problem of creating portable Rust applications by generating file paths relative to the executable's location. Its key features include zero dependencies, cross-platform compatibility, and a straightforward API for easy integration.
AI Summary: The task is to modify the Puck React visual editor to include the Inter font directly within the library, instead of loading it from an external URL. This is necessary to resolve compatibility issues with strict Content Security Policies (CSPs) that prevent the external font from loading. The solution involves downloading the font files and integrating them into the Puck build process.
The visual editor for React
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Puck is a visual editor for React that simplifies the creation and management of React components. It offers a visual interface for building components, streamlining the development process and reducing the need for manual coding. Key features include pre-built component templates, easy data binding, and integration with popular React frameworks like Next.js and Remix.
AI Summary: Implement support for Databricks table optimization techniques (partitioning, liquid clustering, data skipping) within the dlt (data load tool) Python library. This involves extending the Databricks destination to accept and apply these optimization parameters during table creation, leveraging existing Delta Lake capabilities.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
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dlt is an open-source Python library simplifying the process of loading data into various systems. It streamlines data ingestion by handling complexities such as data transformation and schema management, making it easier for developers to manage their data pipelines.
AI Summary: The user needs help understanding how to sort sidebar folders using the `vitepress-sidebar` plugin. They've provided screenshots of their project structure and desire to control the order of folders in the generated sidebar. The task involves reviewing the plugin's documentation, specifically the sorting options (like `sortFolderTo`, `sortMenusByName`, etc.), and providing guidance or code examples on how to achieve the desired folder sorting.
🔌 VitePress auto sidebar generator plugin. Easy to use and supports advanced customization.
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vitepress-sidebar is a plugin that automatically generates sidebars for VitePress websites, simplifying the setup process. It offers an easy-to-use interface and supports advanced customization options for flexible sidebar configurations.
AI Summary: Choose one of the five provided case studies (Strathmore Secondary College, Pennsylvania Department of Education, Toyota Boshoku Corporation, Sequoia Capital, or Leoni AG) describing data breaches or financial scams caused by human error. No further action is required beyond selecting a case study; there's no requirement to analyze the case study in depth or reference the provided ACSC link.
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This project, CPO-Assessment-2, 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 flaky UI test (UnreadIndicatorsTest) within the New Expensify project. The test fails because it unexpectedly finds an unread indicator element when it expects none. The task involves identifying the root cause of the flakiness, fixing the test, and potentially implementing preventative measures to avoid similar issues in other tests. This might involve examining the test's logic, the application's behavior, and potentially improving the test's robustness.
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.
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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 about the website brisbanesocialchess.github.io.
AI Summary: The task is to add administrative features to the Orbital distributed game server. This likely involves creating an admin panel (potentially expanding on the existing monitoring web app) with functionalities such as managing users, rooms, game settings, and potentially viewing real-time game data. The implementation should integrate with the existing Vert.x architecture and leverage the project's existing monitoring and cluster management capabilities.
A blueprint adapting VertX to distributed game server
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Orbital is a blueprint for building distributed game servers using Vert.x, addressing the challenges of scaling and managing game logic across multiple nodes. Key features include leveraging Vert.x's event-driven architecture for high performance and efficient resource utilization.
AI Summary: Implement validation within the TulipaEnergyModel.jl Julia package to ensure that the `investment_method` parameter is only applied to producer, conversion, and storage asset types, preventing its use with hub and demand assets.
An energy system optimization model that is flexible, computationally efficient, and academically robust.
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TulipaEnergyModel.jl is a flexible and computationally efficient energy system optimization model designed for academic research. It solves the problem of optimizing energy systems by offering robust features and a high degree of customizability.
AI Summary: Regularly update the water quality monitoring project with daily PRs focusing on turbidity and chlorophyll data. This allows for timely feedback and iterative development.
water quality monitoring
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The water-quality project addresses the need for effective water quality monitoring. It provides a system for tracking and analyzing water quality parameters, enabling timely detection of contamination and supporting informed decision-making for water resource management.
AI Summary: The task involves debugging a discrepancy in the display of "x per person" in expense details. The information is correctly shown on the expense confirmation page but missing in the subsequent transaction thread. The bug is reproducible across multiple platforms (Android, iOS, web, desktop) and needs to be fixed in the Expensify React Native Chat application. This requires familiarity with React Native, the application's codebase, and debugging techniques.
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.
Sofa version 2.0.0 - Planning & Design team
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linkiving-planning, a Sofa 2.0.0 sub-project, focuses on streamlining the planning and design process. It aims to solve the problem of inefficient workflow in furniture design by providing improved tools and features for the team.
AI Summary: Provide feedback on a lightweight feature specification document for the core MVP of Sofa version 2.0.0. This involves reviewing the document, providing comments on unclear sections, and collaborating with the development team to specify API details, database handling, caching strategies, and performance goals.
Sofa version 2.0.0 - Planning & Design team
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linkiving-planning, a Sofa 2.0.0 sub-project, focuses on streamlining the planning and design process. It aims to solve the problem of inefficient workflow in furniture design by providing improved tools and features for the team.
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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 ('eYXBx1IuXeMGGjR0xTmxqNtP') appears to be an encoded or nonsensical string, providing no context for 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.
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.
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.
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.
AI Summary: Improve Zulip's user tooltips in the right sidebar by showing the user's status text only when it's hidden (compact view) or abbreviated due to length. This involves modifying the tooltip display logic to check these conditions before showing the status.
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.
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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 OAuth 2.0 authentication in a Nuxt.js application using nuxt-auth-utils, supporting Google, Apple, and Microsoft providers. This includes secure token handling, user experience considerations for login/registration and linking existing accounts, and UI integration of login buttons.
time tracking app with great UX
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Zeity is a time tracking application designed to provide a user-friendly experience for managing work hours. Its key feature is a focus on intuitive design to simplify the process of tracking time spent on various tasks and projects.
AI Summary: The task is to fix a bug in the plotting code of a Stochastic Parameter Decomposition (SPD) project. The `plot_causal_importance_vals` and `create_figures` functions are incorrectly using a default sigmoid type instead of the one specified in the configuration. The fix involves updating these functions to correctly pass the `config.sigmoid_type` parameter to the `calc_causal_importances` function.
Stochastic Parameter Decomposition
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The spd project addresses the challenge of decomposing stochastic parameters, enabling a more nuanced understanding of complex systems with inherent uncertainties. Key features likely include algorithms and methods for efficient and accurate decomposition, potentially offering insights into variability and sensitivity analysis.
AI Summary: Investigate the impact of batch size on the Stochastic Parameter Decomposition (SPD) algorithm, beyond its effect on the effective learning rate. This involves experimenting with different batch sizes on a toy model (TMS 40-10), identifying failure points, and then systematically varying other configuration parameters to determine if any mitigate the batch size issues. The goal is to understand if batch size interacts with other factors in the SPD process.
Stochastic Parameter Decomposition
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The spd project addresses the challenge of decomposing stochastic parameters, enabling a more nuanced understanding of complex systems with inherent uncertainties. Key features likely include algorithms and methods for efficient and accurate decomposition, potentially offering insights into variability and sensitivity analysis.
AI Summary: Replace all `print` statements in the `scripts/run.py` file (and potentially other files) with appropriate logging statements using Python's `logging` module to improve control and maintain consistency with the rest of the repository.
Stochastic Parameter Decomposition
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The spd project addresses the challenge of decomposing stochastic parameters, enabling a more nuanced understanding of complex systems with inherent uncertainties. Key features likely include algorithms and methods for efficient and accurate decomposition, potentially offering insights into variability and sensitivity analysis.
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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 ('iiXyW711g9foIwarYT') 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.
AI Summary: Fix a styling issue in the commit details dropdown component of a VSCode extension. The issue involves overlapping commit numbers and timestamps, causing horizontal scrolling and visual inconsistencies when hovering over truncated commit messages. The fix needs to address the overlapping elements and ensure proper display of the full commit message on hover.
Lightweight but robust Githru for VSCode Extension
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The githru-vscode-ext project provides a lightweight yet powerful VSCode extension for interacting with Githru. It streamlines the process of managing and interacting with Githru repositories directly within the VSCode IDE, enhancing developer workflow.
AI Summary: Refactor the Ondatra Code project by changing the visibility of the `convertToFlow` method within the `FlowManager` class from public to private. This involves modifying the `src/utils/flow-manager.ts` file and potentially updating related unit tests to ensure the change doesn't introduce regressions. The goal is to improve code encapsulation and API design.
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The project 'flow-test' lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
AI Summary: The user needs to add the capability to adjust the tilt angle of the detector in the LAVI open-source DBT reconstruction toolbox. Currently, the detector is always parallel to the turntable, and the user wants to incorporate a tilted detector position.
LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)
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DBT-Reconstruction is an open-source toolbox for reconstructing digital breast tomosynthesis (DBT) images. It addresses the challenge of efficiently and accurately reconstructing high-quality DBT images from projection data, offering various reconstruction algorithms and features for improved breast cancer detection.
AI Summary: Fix a bug in the githru VSCode extension where theme color changes are not immediately reflected across all branches. The current implementation requires closing and reopening the githru tab to apply the new theme. The fix should ensure that theme changes are instantly applied to all branches, even without closing and reopening the tab, and that the theme correctly reflects the currently selected branch.
Lightweight but robust Githru for VSCode Extension
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The githru-vscode-ext project provides a lightweight yet powerful VSCode extension for interacting with Githru. It streamlines the process of managing and interacting with Githru repositories directly within the VSCode IDE, enhancing developer workflow.
AI Summary: Update the typeshed stubs for Python's `enum` module to include the `_add_value_alias_` method, which was added in Python 3.13. This will resolve type checking errors in Pyright and other static analysis tools when using this new method.
Collection of library stubs for Python, with static types
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Typeshed provides static type information for Python libraries, improving code quality and maintainability. It addresses the challenge of lacking type hints in many existing libraries by offering comprehensive stub files, enabling better static analysis and IDE support.
AI Summary: Implement a header-only, macro-based, thread-safe logging system for the Nebulark 3D game engine. The system should support multiple severity levels (TRACE, DEBUG, INFO, WARN, ERROR, CRITICAL), output to console (with colored severity) and file, and include basic log formatting (timestamp, level, message) and unit tests. It should be ISO C++17 compliant and have no external dependencies.
Nebulark is a 3D Game Engine made for indie developers.
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NebularkEngine is a 3D game engine designed to empower indie developers by providing a user-friendly and accessible platform for creating games. It simplifies complex 3D development processes, allowing creators to focus on game design and content creation rather than low-level engine intricacies.
AI Summary: Align the text of a NutZap message in the Communikey section of the chachi.chat Nostr group chat client to match the alignment of other message types. This involves a minor UI adjustment.
a nostr group chat client
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Chachi is a Nostr group chat client designed to facilitate secure and decentralized communication. It solves the problem of relying on centralized servers for group chats by leveraging the Nostr protocol, offering users enhanced privacy and control over their conversations.
AI Summary: Address and fix numerous deprecation warnings related to deprecated functions (like `cancel`) within the Nim libp2p project's unit tests, improving code quality and maintainability. This involves identifying the deprecated functions, understanding their replacements, and updating the test code accordingly.
libp2p implementation in Nim
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nim-libp2p is a Nim language implementation of libp2p, a modular peer-to-peer networking stack. It solves the problem of needing a performant and versatile p2p library within Nim projects, offering features like connection management, stream handling, and support for various libp2p protocols.
AI Summary: Implement a visual indicator in the history panel of a VSCode extension to show the current scroll position. This will improve user experience by providing a clear representation of the user's location within the history list, similar to a standard scrollbar thumb.
Lightweight but robust Githru for VSCode Extension
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The githru-vscode-ext project provides a lightweight yet powerful VSCode extension for interacting with Githru. It streamlines the process of managing and interacting with Githru repositories directly within the VSCode IDE, enhancing developer workflow.
AI Summary: Verify the completeness of combat abilities in the DSA Würfel-App by checking if the abilities "Kettenkugelkampf", "Schildwall", and "Geschütze bedienen" exist in the Optolith character creator's data or if they are missing from the app's implementation. This may involve reviewing Optolith's data format and comparing it to the app's data.
DSA Würfel-App
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eorla is a dice rolling app designed for use in tabletop games and other activities requiring dice rolls. It offers a user-friendly interface for selecting various dice types and quantities, providing a convenient digital alternative to physical dice.
AI Summary: Create several test characters with exaggerated abilities using the Optolith character creator and export them as JSON files for use in testing the DSA Würfel-App. This will aid in testing and ensure compatibility with Optolith's JSON format.
DSA Würfel-App
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eorla is a dice rolling app designed for use in tabletop games and other activities requiring dice rolls. It offers a user-friendly interface for selecting various dice types and quantities, providing a convenient digital alternative to physical dice.
AI Summary: Create a command-line interface (CLI) tool, `wms-cli`, using Clap for argument parsing and Tokio for asynchronous operations. The CLI should have subcommands for listing inventory (stubbed), creating mock orders (logging only), and checking system health. Error handling (using color-eyre or anyhow), help/usage output, and a modular command structure are recommended. The CLI should read configuration from a .env file or CLI options.
Warehouse Management System
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wms-rs is a Warehouse Management System (WMS) designed to streamline warehouse operations. It addresses the challenges of inventory tracking, order fulfillment, and resource allocation by providing a robust and efficient system for managing warehouse activities.
AI Summary: Set up a connection to a PostgreSQL database within a Rust project using sqlx or diesel. This involves configuring connection parameters from a .env file, creating a connection pool, implementing a health check query, and potentially creating an initial migration and integration tests. The database interaction logic should reside in a separate crate or module.
Warehouse Management System
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wms-rs is a Warehouse Management System (WMS) designed to streamline warehouse operations. It addresses the challenges of inventory tracking, order fulfillment, and resource allocation by providing a robust and efficient system for managing warehouse activities.
AI Summary: Design a logo for the SecML-Torch library, a Python library for robustness evaluation of deep learning models. The logo should reflect the library's focus on adversarial machine learning and security.
SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models
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SecML-Torch is a library designed to efficiently evaluate the robustness of deep learning models against adversarial attacks. It provides tools and functionalities for assessing model vulnerability and quantifying its resilience to various attack strategies.
AI Summary: Implement a debug flag or logging level control for the OnboardingEngine to prevent excessive console logging, improving the developer experience.
OnboardJS is an open-source ecosystem featuring a headless engine and React utilities to help developers quickly build highly customizable user onboarding flows.
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OnboardJS is an open-source project that simplifies the creation of customizable user onboarding experiences. It offers a headless engine and React components, allowing developers to rapidly build and deploy engaging onboarding flows without extensive development effort.
AI Summary: Refactor the existing test suites for the InMemory and KvDatabase implementations of the BeaconChain in a Java project. Create a single, sharable test suite that can run against both implementations, ensuring all tests function correctly for both InMemory and persistent (KvDatabase) storage. This will reduce development and maintenance time.
Consensus layer client implementing QBFT protocol adhering to Eth 2.0 CL / EL separation and API
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Maru is a consensus layer client that solves the problem of implementing the QBFT protocol for Ethereum 2.0. It adheres to the Eth 2.0 CL/EL separation and provides a defined API for interaction.
AI Summary: Verify the OpenZeppelin Relayer project's build process, pre-commit hooks, and dependencies function correctly on a Windows environment. Document any necessary setup steps or adjustments for Windows users in the project's documentation (README or CONTRIBUTING.md).
OpenZeppelin Relayer
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OpenZeppelin Relayer is a project whose purpose is not clearly defined in the provided context. Without further information, a concise summary cannot be provided.
AI Summary: Verify the OpenZeppelin Relayer project's build process, pre-commit hooks, and dependencies function correctly on a clean Ubuntu installation. Document any required setup steps or adjustments needed for Ubuntu compatibility in the project's documentation (README or CONTRIBUTING.md).
OpenZeppelin Relayer
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OpenZeppelin Relayer is a project whose purpose is not clearly defined in the provided context. Without further information, a concise summary cannot be provided.
AI Summary: Update the starknet.go library's helper functions (`utils.BuildUDCCalldata`, `utils.PrecomputeAddressForUDC`, and `account.DeployContractWithUDC`) to utilize the updated OpenZeppelin Universal Deployer Contract (UDC) with class hash 0x01b2df6d8861670d4a8ca4670433b2418d78169c2947f46dc614e69f333745c8 and address 0x02ceed65a4bd731034c01113685c831b01c15d7d432f71afb1cf1634b53a2125. This involves adapting the code to reflect the changes in the new UDC contract and making it the default option.
Golang Library for StarkNet/Cairo
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starknet.go is a Golang library providing convenient interaction with the StarkNet blockchain. It simplifies development by offering functionalities for interacting with StarkNet contracts and managing transactions, addressing the need for a robust and user-friendly Golang interface to the StarkNet ecosystem.
AI Summary: Add "use strict"; to all JavaScript files in the Green Metrics Tool frontend, then run tests and manually validate the frontend for unexpected behavior to ensure functionality remains intact after the change.
Measure energy and carbon consumption of software
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The green-metrics-tool measures the energy and carbon footprint of software projects. This helps developers understand and reduce the environmental impact of their code, promoting sustainable software development practices.
AI Summary: Enhance the YDB .NET SDK's `YdbException` class to include the SQLSTATE message, following the SQLSTATE standard (as defined in the provided Wikipedia link), ensuring proper ordering and presentation of the message within the exception.
YDB .NET SDK
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The ydb-dotnet-sdk provides a .NET SDK for interacting with Yandex Database (YDB), a serverless, distributed database. It simplifies the process of connecting to, querying, and managing YDB instances from .NET applications, offering a convenient and efficient interface.
AI Summary: Improve the user experience of mentioning apps by package name. Currently, the contact selection popup interferes with typing package names. The task is to modify the app's behavior so that typing '@' doesn't automatically trigger the contact selection, allowing users to directly input app package names after the '@' symbol.
This app supports 'mentioning' or tagging other apps via their package names and launches them directly on click. It also supports mentioning contacts, hashtags and links.
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apktag solves the problem of cumbersome app launching by allowing users to mention and directly launch other apps using their package names. Key features include app mentioning, contact mentioning, hashtag support, and link handling, streamlining the process of interacting with multiple apps.
AI Summary: Debug and fix a bug in a web mapping application where clicking on the map to set Point A for navigation does not register. The issue is within the application's map interaction and point selection functionality for the navigation feature. The solution will likely involve inspecting the JavaScript code handling map clicks and point assignment, potentially addressing event listeners, coordinate handling, or marker placement.
This is a professional web-based mapping application that allows users to visualize locations, find their current position, search for places, and calculate distances between points. The application provides both straight-line distance calculations and actual road distance routing with estimated travel times.
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IDT-TRAE is a web-based mapping application solving the need for easy location visualization, search, and distance calculation. Key features include real-time location tracking, place search, and both straight-line and road-distance routing with travel time estimations.
AI Summary: Investigate and optimize the slow test suite for the Narwhals project. This involves identifying performance bottlenecks (e.g., I/O, computation, testing framework inefficiencies) and implementing solutions to improve the speed of the test suite execution.
Lightweight and extensible compatibility layer between dataframe libraries!
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Narwhals solves the problem of interoperability between different dataframe libraries by providing a lightweight, extensible compatibility layer. This allows users to seamlessly switch between libraries without significant code changes, leveraging the strengths of each.
AI Summary: Contribute to CodeWhiz, a VS Code extension that uses Google Gemini to generate AI-powered inline code comments. Contributions can involve bug fixes, feature additions, documentation improvements, or tackling 'good first issue' tasks. The project uses Node.js and requires a Gemini API key.
VS Code extension that adds AI-powered inline comments to selected code using Google Gemini. Simple, fast, and emoji-rich 💬✨
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CodeCharm is a VS Code extension leveraging Google Gemini to generate insightful, emoji-enhanced inline comments for selected code snippets. It streamlines code understanding and documentation by providing quick, AI-powered explanations directly within the IDE.
AI Summary: Debug and fix an unresponsive window issue in the FeedbackTool application. The issue occurs regardless of command-line arguments and manifests as an uninteractive window with a waiting cursor. The goal is to identify the root cause of the application freeze and implement a solution that ensures the window remains responsive.
A tiny feedback and updates CLI + GUI utility.
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feedbacktool is a lightweight command-line and graphical user interface utility designed to streamline the process of collecting and managing feedback and updates. Its key features include ease of use and a simple interface for both text-based and visual feedback input and organization.
AI Summary: Implement a check in the XKit Rewritten extension's Quick Reblog feature to reposition the popup below the post if it would otherwise extend beyond the top of the screen. This addresses an accessibility issue where the popup obstructs interaction with the blog selection when viewing short posts in the blog view modal.
🧰 The enhancement suite for Tumblr's new web interface
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XKit-Rewritten is a browser extension that enhances the user experience of Tumblr's new web interface. It addresses limitations in the official platform by adding features such as improved post customization, enhanced dashboard functionality, and various quality-of-life improvements.
AI Summary: The task is to determine if the existing TensorRT-YOLO project allows for dynamic adjustment of IOU and confidence thresholds during inference, rather than only during model export. If not currently supported, the feasibility of adding this feature needs to be assessed.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
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TensorRT-YOLO simplifies and accelerates the deployment of YOLO object detection models on NVIDIA platforms. It leverages TensorRT optimization for improved inference speed and efficiency, making it ideal for real-time applications.
AI Summary: The task is to provide instructions on how to cancel a Tunaiku loan. The instructions involve contacting Tunaiku customer service at a provided phone number, requesting cancellation, and following their instructions. The provided text already contains these instructions, so the task may involve verifying their accuracy, formatting them for a specific platform, or translating them.
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The project 'link-dn-iklan' 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 callback function within the 'The Lonely Machine' project's v3 (AI Agent) version to store the paths of generated photos. This addresses a limitation highlighted in the linked GitHub issue concerning the any-agent library, ensuring that the locations of the generated images are properly recorded and accessible after the agent's execution.
A lonely machine
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The project 'lonelymachine' aims to address the problem of loneliness in machines, though the specifics of how it does this are undefined given the limited information. Further details are needed to describe its key features and functionality.
AI Summary: The task requires adapting the EasyExcel library to handle Excel export with multiple identical headers within a single sheet, based on a provided list of data. The solution needs to leverage EasyExcel's template functionality to achieve this efficiently.
快速、简洁、解决大文件内存溢出的java处理Excel工具
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easyexcel is a fast and concise Java library for processing Excel files, designed to overcome memory overflow issues often encountered with large files. Its key features include efficient handling of massive datasets and a streamlined API for simplified Excel manipulation.
AI Summary: The task involves fixing a bug where invited members without Expensify accounts are shown a grey avatar instead of a random avatar. The fix requires modifying the avatar assignment logic for invited users to ensure they receive a random avatar consistent with the one they'll get upon signing up. This needs to be implemented across web and potentially desktop 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: Upgrade the FastAPI version used in the UK PV National and GSP API project to the latest stable release (0.116.1 at the time of writing) and update the project's dependencies accordingly. This involves modifying the `requirements.txt` file and potentially resolving any compatibility issues arising from the upgrade.
API for hosting nowcasting solar predictions
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The uk-pv-national-gsp-api project provides a readily accessible API for nowcasting solar power generation predictions across the UK. This solves the problem of accessing and integrating these crucial predictions for grid management and renewable energy forecasting, offering a streamlined and efficient data delivery mechanism.
AI Summary: The task is to modify the `SetProjectileTarget` function in the Recoil RTS game engine's LuaSyncedCtrl.cpp file. Currently, if the function receives an incorrect number of arguments (not 3 or 4), it silently returns `nil`. The requirement is to change this behavior so that it throws an error instead, maintaining consistency with other API functions that handle invalid signatures.
A powerful free cross-platform RTS game engine
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RecoilEngine is a free, cross-platform game engine designed for creating real-time strategy (RTS) games. It offers powerful tools and features to simplify development, enabling creators to focus on game design and content creation rather than low-level engine details.
AI Summary: The task involves replacing the use of `Guid.NewGuid()` with `Guid.CreateVersion7()` throughout the Brighter framework's codebase, specifically focusing on message ID generation. This change aims to improve performance, particularly in scenarios using the outbox/inbox pattern with relational databases. The goal is to leverage the performance benefits of UUID v7 for ID generation.
A framework for building messaging apps with .NET and C#.
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Brighter is a .NET and C# framework streamlining the development of messaging applications. It simplifies the complex tasks involved in building robust and scalable messaging systems, allowing developers to focus on application-specific features.
AI Summary: Modify the Netbox Docker Agent to handle port allocation differently based on the port value received from the Netbox Docker plugin. If the port is -1, do not expose any port; if 0, expose a random port; if positive, use the specified port. This requires updating the agent's logic for container creation and port mapping.
Agent for Netbox Docker Plugin
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The netbox-docker-agent solves the problem of integrating Docker environments with Netbox for centralized network infrastructure management. It acts as a bridge, providing Netbox with real-time information about Docker containers and their network configurations, enabling automated discovery and management.
AI Summary: Create a cross-platform window using C++, GLFW, and OpenGL, rendering a basic triangle. This involves setting up a CMake project, integrating GLFW and OpenGL, creating a window on Windows, macOS, and Linux, initializing OpenGL, clearing the screen, rendering a hardcoded triangle using shaders, implementing basic error handling and logging, and writing a README with build instructions.
Nebulark is a 3D Game Engine made for indie developers.
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NebularkEngine is a 3D game engine designed to empower indie developers by providing a user-friendly and accessible platform for creating games. It simplifies complex 3D development processes, allowing creators to focus on game design and content creation rather than low-level engine intricacies.
AI Summary: Evaluate the provided minimal decision engine, identify its shortcomings and areas for improvement based on user feedback, and suggest features to enhance its usability and functionality within a real-world application stack.
Versioned, testable, traceable business logic, defined in YAML, executed like code
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The decision-layer project addresses the challenge of managing complex, evolving business rules by providing a versioned, testable, and traceable system for defining business logic in YAML. This allows for easier collaboration, auditing, and deployment of rules, treating them as executable code.
AI Summary: Change the TaskPad project's license from MIT to GPL. This involves updating the project's license file and potentially making any necessary legal and documentation changes to comply with the GPL's copyleft requirements. The goal is to increase the freedom and flexibility for users to modify and redistribute the software.
Um gerenciador de tarefas que combina clareza visual, automação de prioridades e feedback positivo para transformar a gestão de tarefas em uma experiência mais leve e eficiente.
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TaskPad is a task manager designed to improve task management efficiency. It achieves this through a visually clear interface, automated priority setting, and positive feedback mechanisms, making task management less stressful and more effective.
AI Summary: Manually calculate function values in Excel, save them to a text file (fromExcel.txt) with specified delimiters (no tabs), then use LabVIEW to read the file line by line, convert the data, and plot the function. Clarification is needed on the number of data pairs and LabVIEW's delimiter handling.
Практика по Labview
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Practise-2025-Labview is a project focused on providing practical experience with LabVIEW. It likely offers exercises and examples to help users learn and improve their LabVIEW programming skills.
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 a CONTRIBUTING.md file for the GitCord project, outlining how to open issues and pull requests, describing coding conventions, providing setup instructions if needed, and linking to relevant documentation.
Manage your discord's channel and role structure and roles via Git
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Gitcord streamlines Discord server management by allowing administrators to define and manage channel and role structures using Git repositories. This approach enables version control, collaboration, and easy rollback of changes, solving the problem of complex and error-prone manual server configuration.
AI Summary: Implement a new REST API endpoint for retrieving recommendations based on newly developed SQL logic. This involves setting up database connections (PostgreSQL and H2), creating necessary tables, writing three SQL queries for recommendation rules, and implementing the corresponding service and controller layers within a well-structured project.
Implementation of a recommendation system to improve marketing and help employees offer personalized services to customers.
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The team-project.star-bank project implements a recommendation system to address the problem of providing personalized customer service and targeted marketing. Key features include improved customer experience through personalized offers and enhanced employee efficiency in offering relevant services.
AI Summary: Restore the ability to customize the window background color in the Xilem Rust UI framework. This feature was apparently lost after commit 403119bc7926b0bd65724161c5dfa663f8c91cff. The task involves investigating the commit history to identify the cause of the loss and implementing a solution to re-enable the customization.
An experimental Rust native UI framework
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xilem is an experimental Rust native UI framework aiming to provide a performant and modern alternative for building desktop applications. It focuses on ease of use and leverages Rust's strengths for memory safety and speed.
AI Summary: Enhance the HallucinationGuard Go SDK to support context-aware and conditional policies. This involves extending the YAML policy format to include conditions based on user roles, session context, parameter values, and other metadata. The SDK's validation API needs to accept a context object, and the policy engine must be updated to evaluate these conditions using a safe expression evaluator. Comprehensive testing and updated documentation are also required.
Guardrails for LLMs: detect and block hallucinated tool calls to improve safety and reliability.
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hguard-go mitigates the risk of Large Language Models (LLMs) making inaccurate or harmful tool calls by detecting and blocking hallucinated instructions. This improves the safety and reliability of LLM applications by preventing unintended actions based on fabricated information.
AI Summary: Implement import and export functionality for AI flow diagrams within the JeecgBoot low-code platform's AI flow design module, allowing users to share or replicate process flows easily. This should mirror the functionality found in similar platforms like Dify and Ragflow.
🔥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.
AI Summary: Investigate why a specific unit test (`ReportUtils › canLeaveChat`) within the Expensify project's CI/CD pipeline is failing intermittently. The task involves analyzing the test code, identifying the root cause of the flakiness (likely related to asynchronous operations or race conditions), and proposing a solution to make the test more robust and prevent similar failures in other tests. This includes understanding the Expensify codebase's structure, particularly its use of Onyx for data management and asynchronous actions.
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: Design and implement a new icon for the YouTube Music Desktop App, replacing the current official YTM icon. This involves creating the icon in various sizes and formats suitable for different operating systems and potentially updating the application's code to use the new icon.
YouTube Music Desktop App bundled with custom plugins
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The youtube-music project addresses the lack of a fully featured desktop application for YouTube Music by providing a bundled desktop app enhanced with custom plugins. This offers improved usability and functionality beyond the limitations of the web interface, including potential features like enhanced playback controls or playlist management tools.
AI Summary: Implement an alternative API call method in the SwiftNetworking library using `URLSession.dataTask(with:completionHandler:)` to enhance compatibility with older iOS versions and provide an option for developers who prefer completion handlers. This involves adding a new method, ensuring consistent error handling and decoding, and writing unit tests for the new functionality. Optionally, update the README with a usage example.
A lightweight and testable asynchronous REST client built with Swift and `async/await`
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SwiftNetworking is a lightweight asynchronous REST client for Swift, leveraging `async/await` for cleaner, more testable network requests. It simplifies interacting with REST APIs by providing a streamlined interface and focusing on ease of use and maintainability.
AI Summary: The task involves creating a comprehensive course outline for a new internal audit training program. The course will cover data-driven auditing techniques, utilizing data analysis tools (SQL, Python, Power BI), and incorporating the use of private local LLMs for enhanced efficiency. The outline should detail modules, learning objectives, practical exercises, and required software/hardware.
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This project, 'ebook', is a placeholder without a provided description or README. Therefore, no specific problem it solves or key features can be identified.
AI Summary: Implement a robust delta time system for the Nebulark 3D game engine, ensuring consistent game speed across different hardware. This involves creating a high-resolution timer using platform-specific methods (QueryPerformanceCounter for Windows, clock_gettime for Unix), a Time class to manage delta time, total runtime, and frame count, and implementing smoothing techniques like frame averaging and a maximum delta cap. The system should integrate seamlessly with the Application's main loop and provide a header-only interface.
Nebulark is a 3D Game Engine made for indie developers.
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NebularkEngine is a 3D game engine designed to empower indie developers by providing a user-friendly and accessible platform for creating games. It simplifies complex 3D development processes, allowing creators to focus on game design and content creation rather than low-level engine intricacies.
AI Summary: Update the `timezonefinder` project's README to prominently mention `tzfpy` as a faster, more memory-efficient alternative, acknowledging its slightly reduced border accuracy. This involves adding a section or paragraph clearly comparing the two packages and guiding users to choose the best option based on their needs (speed vs. accuracy).
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: Implement support for geospatial data types (e.g., points, polygons) within the Turso Database, including storage, indexing (potentially using spatial indexes like R-trees), and query capabilities (e.g., finding points within a radius, intersecting polygons). This would involve extending the database's SQL dialect, data structures, and query engine.
Turso Database is a project to build the next evolution of SQLite.
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Turso Database aims to create a significantly improved version of SQLite, addressing limitations in performance and scalability. Key features will focus on enhanced speed and the ability to handle larger datasets than traditional SQLite.
AI Summary: Implement support for iOS and Android mobile applications for the Turso Database, likely involving creating native mobile bindings or utilizing a cross-platform framework to interact with the existing Rust, JavaScript, Python, or Go bindings.
Turso Database is a project to build the next evolution of SQLite.
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Turso Database aims to create a significantly improved version of SQLite, addressing limitations in performance and scalability. Key features will focus on enhanced speed and the ability to handle larger datasets than traditional SQLite.
AI Summary: The Turso Database `.import` command needs to be modified to create a table if it doesn't exist before importing data from a CSV file. Currently, it silently ignores the data if the table is missing. The solution should handle the table creation robustly, potentially including error handling for cases where the CSV header doesn't match expected column names.
Turso Database is a project to build the next evolution of SQLite.
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Turso Database aims to create a significantly improved version of SQLite, addressing limitations in performance and scalability. Key features will focus on enhanced speed and the ability to handle larger datasets than traditional SQLite.
AI Summary: The task involves researching alternative raycasting algorithms and libraries for a Python package that determines time zones based on coordinates. This includes evaluating the feasibility of externalizing the raycasting functionality into a separate Python library, considering the current implementation's use of a custom C extension and the alternative's reliance on a Rust-based geometry library. The goal is to improve the raycasting algorithm used for timezone determination.
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
Auxiliary functions for calculating Simultaneous Confidence Corridors (SCCs) on PET neuroimaging data.
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neuroSCC provides auxiliary functions to compute Simultaneous Confidence Corridors (SCCs) for PET neuroimaging data, addressing the challenge of accurately representing uncertainty in regional brain activity measurements. Key features include streamlined calculations and improved visualization of SCCs, facilitating more robust statistical inferences from PET studies.
AI Summary: The task involves gathering metadata about the PagedJS project, following instructions in the contributing guide, and adding this metadata to issue #1363 in the NGIpkgs repository. This requires familiarity with the NGIpkgs project structure and the contributing guidelines.
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: The task is to schedule a 4-hour kick-off meeting for a task management application project. The available options for the meeting are Monday, Wednesday, Friday, Saturday, and Sunday, with afternoon or evening time slots between 12:00-16:00 or 18:00-22:00.
Um gerenciador de tarefas que combina clareza visual, automação de prioridades e feedback positivo para transformar a gestão de tarefas em uma experiência mais leve e eficiente.
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TaskPad is a task manager designed to improve task management efficiency. It achieves this through a visually clear interface, automated priority setting, and positive feedback mechanisms, making task management less stressful and more effective.
AI Summary: The task is to create examples demonstrating how to run the provided Grafana OpenTelemetry backend Docker image ('grafana/otel-lgtm') using HashiCorp Nomad and Consul for orchestration and service discovery. This involves creating configuration files for Nomad to deploy and manage the Docker containers and integrating Consul for service registration and health checks.
OpenTelemetry backend in a Docker image
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docker-otel-lgtm provides a readily deployable OpenTelemetry backend as a Docker image, simplifying the process of collecting and exporting telemetry data. This eliminates the need for manual setup and configuration, streamlining observability for applications.
AI Summary: This task involves refactoring the notification service from the main application into a standalone, deployable component. This includes separating the notification logic, deploying it to a platform like Render, and then updating the main application to connect to the newly deployed service.
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LinkSphere 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 investigate why Ruff (a Python linter) is incorrectly flagging a pytest fixture definition as a violation of rule FURB118. The issue is that Ruff's suggested rewrite is not valid Python because pytest fixture arguments must be keyword arguments, not positional arguments. The solution likely involves adjusting Ruff's rule logic to correctly handle pytest fixtures with multiple arguments.
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 involves configuring Keycloak to use a PostgreSQL database for persistent storage instead of its default in-memory storage. This requires provisioning a PostgreSQL database (already done), and updating the Keycloak Docker configuration with the correct database connection details (host, port, username, password, and database name). The Keycloak documentation will be a key resource for this task.
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LinkSphere 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 project's README file to include a section detailing the availability of pre-compiled binaries, providing download links from the releases page, specifying supported platforms, and adding installation instructions for binary releases.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: Implement a secure logout functionality that clears frontend tokens, sends a logout request to Keycloak's `/realms/myapp-realm/protocol/openid-connect/logout` endpoint with refresh token and client ID, and redirects the user to the login screen. The logout must invalidate the Keycloak session.
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LinkSphere 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 token refresh functionality for the LinkSphere application. This involves storing refresh tokens after login, using them to obtain new access tokens when the latter expire via a POST request to the specified endpoint, and updating the stored tokens accordingly. The goal is to maintain user sessions without requiring re-authentication.
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LinkSphere 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 file type detection to the FormEase Chrome extension. The task involves modifying the `checkToolboxExistence()` or `setupToolboxEventListeners()` function to use the `file.type` property to determine if an uploaded file is an image, PDF, or video. Based on the file type, different toolboxes (image, PDF, or video processing) should be displayed. Optionally, store the file type in a data attribute for later use.
FormEase is a privacy-first Chrome Extension that seamlessly integrates advanced in-browser image and video processing into any file upload workflow, eliminating external dependencies and enhancing user control.
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FormEase is a Chrome extension that simplifies file uploads by directly processing images and videos within the browser, eliminating the need for external tools. This privacy-focused solution enhances user control over their data and streamlines online form submissions.
AI Summary: The task is to create an Activepieces Piece that integrates with the Ninox low-code database platform. This involves building TypeScript code for triggers (New Record, Updated Record) and actions (Create, Update, Delete Record; Upload, Download File; Find Record; List Files from Record) to allow Activepieces users to automate workflows with Ninox data. The Piece must adhere to Activepieces' architectural guidelines and be published to npmjs.com.
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
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Activepieces solves the problem of managing and automating AI workflows by providing a scalable infrastructure (280+ MCP servers) for deploying and coordinating AI agents. Key features include AI agent management, AI workflow automation, and the use of MCPs (likely Multi-Core Processors) to enhance performance and scalability.
AI Summary: Modify the Zimit Public Web UI to display queue list indices starting from 1 instead of 0, improving user experience by aligning with human-readable numbering conventions.
Zimit Public Web UI
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zimit-frontend is the public web user interface for Zimit. It provides a user-friendly way to interact with the Zimit platform, solving the problem of needing a convenient and accessible interface for users to engage with Zimit's services.
AI Summary: Delete the file `REFACTORING_SUMMARY.md` from the GitCord project's repository.
Manage your discord's channel and role structure and roles via Git
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Gitcord streamlines Discord server management by allowing administrators to define and manage channel and role structures using Git repositories. This approach enables version control, collaboration, and easy rollback of changes, solving the problem of complex and error-prone manual server configuration.
AI Summary: Implement functionality in "The Crawl" project to initialize and sort search results when the sort-by criteria changes, even without active search terms. This involves modifying the existing search and sorting logic to handle the case where the sort order changes but no search filter is applied, ensuring all packages are sorted according to the new criteria.
“The Crawl” is a fully transparent crawler, and website, for the Sublime Text package ecosystem.
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The Crawl is a website and crawler providing a fully transparent view into the Sublime Text package ecosystem. It solves the problem of discovering and understanding the availability and health of Sublime Text packages by offering comprehensive, readily accessible data.
AI Summary: Improve the documentation of the rust-bitcoinsv library by adding comprehensive examples, detailed explanations of the `Encodable` trait and implementation choices, a usage guide, and enhanced API documentation with error, panic, and safety sections. This involves writing clear and concise documentation following Rust API guidelines and using doc tests to ensure accuracy.
A low-level library for working with BitcoinSV.
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rust-bitcoinsv is a low-level Rust library designed to facilitate interaction with the BitcoinSV blockchain. It provides developers with the tools to build applications requiring direct manipulation of BitcoinSV transactions and data structures, solving the need for a robust and efficient Rust-based BitcoinSV library.
AI Summary: Refactor the BitcoinSV library to remove all instances of `unwrap()` from production code, replacing them with proper error handling mechanisms such as `?`, `unwrap_or_default()`, or `expect()` with descriptive messages. This involves fixing critical instances in key functions, improving error handling in the public API, and adding tests to cover new error paths. The goal is to prevent panics in production and improve the robustness of the library.
A low-level library for working with BitcoinSV.
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rust-bitcoinsv is a low-level Rust library designed to facilitate interaction with the BitcoinSV blockchain. It provides developers with the tools to build applications requiring direct manipulation of BitcoinSV transactions and data structures, solving the need for a robust and efficient Rust-based BitcoinSV library.
AI Summary: Refactor the Go Git CLI tool `ggc` to centralize all Git command executions within the `git.Client` struct. This involves creating wrapper functions for each Git command (add, commit, push, etc.), using consistent error handling and the existing `c.execCommand()` and `git.NewError()` methods to improve testability, maintainability, and code readability.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: Enhance the Chef cookbook for Java installation to support specifying custom repository URLs for various installation methods (package-based and source-based) for OpenJDK, AdoptOpenJDK, and Amazon Corretto. This involves adding new properties to existing resources and ensuring compatibility with internal mirrors like Artifactory or Nexus.
Development repository for the java cookbook
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This project, a Java cookbook, provides a collection of example code snippets and recipes to address common programming challenges in Java. It serves as a valuable resource for both beginners learning Java and experienced developers seeking practical solutions and best practices.
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This project, PORTFOLIO-PAGE-VIKRAM-, likely creates a personal portfolio website. It addresses the need for individuals to showcase their skills and experience online, offering a platform to present projects and credentials to potential employers or clients. Further details about specific features are unavailable due to missing project description and README.
AI Summary: Improve the Gradle documentation by adding an introductory paragraph to the section on finalizer tasks. The introductory paragraph should provide context and explain the purpose of finalizer tasks before diving into the technical details. The existing final paragraph of the section should be moved to the beginning.
Adaptable, fast automation for all
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Gradle is a build automation tool that addresses the need for a flexible and efficient system for managing software projects. Its key features include support for various languages and platforms, dependency management, and incremental builds for faster development cycles.
AI Summary: Update the project's README to clearly state the data source (https://github.com/evansiroky/timezone-boundary-builder) and its license, including information about the data size (~63MB).
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: Improve the Delta Chat website's desktop download verification page by adding instructions on how to verify the download using various SOP implementations (gosop, pgpainless-sop, rsop, sqop, sop-openpgp.js), referencing the guide within the signature file, and optionally mentioning a Fediverse fingerprint posting.
Delta Chat Website
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Deltachat-pages is a website for the Delta Chat messaging application. It serves as a central hub for information, documentation, and community resources related to Delta Chat, solving the problem of fragmented information access for users and potential users.
AI Summary: Debug and fix a crash bug in the iOS version (iOS 16 on iPhone 13) of the Pixiv-MultiPlatform app that prevents the app from launching. The bug is not reproducible on Android. The issue lacks logs, making debugging more challenging.
跨平台第三方pixiv客户端,专注于浏览。
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Pixiv-MultiPlatform is a cross-platform third-party Pixiv client prioritizing browsing experience. It solves the problem of accessing Pixiv content conveniently across multiple devices, offering a dedicated and streamlined viewing interface.
AI Summary: Implement a feature allowing users to define custom aliases for sequences of ggc commands via a YAML/JSON configuration file. The aliases should execute sequentially, stopping on the first command failure, and should be validated against existing ggc commands.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: The task is to debug and fix the `ggc` version command to correctly display the Git commit hash and build timestamp. This involves investigating why the `commit` and `built` fields are empty in the version output, and modifying the code to populate these fields with the appropriate information.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: The task is to modify the Nurui UI component library's navbar styling to prevent the background color from changing on hover when an item is already active. This likely involves adjusting CSS or class logic to conditionally disable hover effects for active navbar items.
Nurui is a modern React and Next.js based UI component library that streamlines front-end development. It offers CLI scaffolding, automatic TypeScript-to-JavaScript conversion, and live component previews for a faster, more customizable workflow.
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Nurui is a React and Next.js UI component library designed to accelerate front-end development. It solves the problem of slow and cumbersome UI creation by providing CLI scaffolding, automated TypeScript conversion, and live component previews, resulting in a more efficient and customizable workflow.
AI Summary: Enhance the `timezonefinder` Python package by adding a script that generates a markdown file containing statistics (size, index properties, etc.) about the data used. This report should be generated by redirecting the standard output of `file_converter.py` and added to version control.
python package for finding the timezone of any point on earth (coordinates) offline
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Timezonefinder is a Python package that efficiently determines the timezone of any geographical coordinate offline. It avoids the need for online API calls, providing fast and reliable timezone lookups from a pre-built database.
AI Summary: The task involves removing hardcoded combined Git commands (like `addcommitpush`) from the `cmd` package of a Go-based Git CLI tool. This prepares the project for a future implementation of configurable command combinations, improving flexibility and maintainability. The task requires identifying all such commands and removing their implementations.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: Rename Java packages within a DSA repository to replace spaces with underscores, aligning with industry standards. This involves updating package names in source code and potentially build files.
Learn the DSA and be Interview ready
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This project, DSA, aims to prepare individuals for technical interviews by providing comprehensive Data Structures and Algorithms (DSA) learning resources. It focuses on equipping learners with the necessary knowledge and skills to confidently tackle coding challenges commonly encountered in the interview process.
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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: Implement caching for the `getTopicMeta()` method in the `websocket-doc-ui` Spring Boot project to improve the performance of the `/websocket-docs` endpoint. This involves choosing a suitable caching mechanism (e.g., `ConcurrentHashMap`, `@Cacheable`, or a custom solution) and integrating it to avoid redundant metadata retrieval.
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The project `websocket-doc-ui` (lacking further description) likely aims to provide a user interface for interacting with or documenting websocket connections. Key features are currently unknown due to missing project details.
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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.
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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 GitHub Actions to automate the release process for the tsgolint project, creating releases with compiled binaries for various operating systems and architectures. This involves adapting an existing Oxlint release workflow to the tsgolint project and ensuring the correct binaries are built and included as release assets.
Type aware linting for oxlint
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tsgolint extends oxlint, adding type awareness to improve the quality and maintainability of Go code. It leverages Go's type system to detect potential issues and enforce coding best practices that are missed by static analysis alone.
AI Summary: The task involves debugging an issue in the Expensify app where invited workspace members can create expenses in reports they shouldn't have access to. This requires familiarity with the Expensify codebase, specifically the report and workspace functionalities, and debugging skills across multiple platforms (web and potentially mobile). The solution needs to restrict expense creation to report owners or designated managers.
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: Update the README file of this GitCord sister repository to include a dedicated section linking to the main GitCord project board on GitHub. This will improve discoverability of the project's roadmap and progress for contributors.
Sister repo to https://github.com/evolvewithevan/gitcord
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gitcord-template serves as a template repository for creating Discord bots that integrate with Git, streamlining the development process. It likely provides a pre-configured structure and boilerplate code to simplify the creation of similar bots, reducing setup time and effort.
AI Summary: The task involves removing obsolete code related to the `stash-pull-pop` Git command. This includes deleting several files and cleaning up references to the old implementation in other parts of the codebase (command handlers, Git client interface, help documentation, completion scripts, and tests). The obsolete code was replaced by a simpler approach using `git pull --autostash`.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
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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: Update the PDF layout generated by the OSF Project Exporter CLI tool to match the design specified in issue #10. This involves implementing the design's specifications within the existing codebase.
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The osf-project-exporter 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 refactor the GeminiClient singleton class in an ES6 Node.js project to allow for easier mocking in Jest unit tests for the `aiService.js` file. This involves finding a way to decouple the singleton instance from the import, potentially through dependency injection or a different design pattern, to enable isolated testing of the AI service logic.
AI-powered task management API for scheduling, conflict detection, and dynamic routine generation.
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The ai-taskpilot-api solves the problem of inefficient task scheduling by providing an AI-powered API. Key features include automated scheduling, conflict detection to prevent overlaps, and the ability to dynamically generate personalized routines.
AI Summary: Import GitHub issue #150, titled "Issue no. #150" and described as "Decription for issue no. #150", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #149, titled 'Issue no. #149' and described as 'Decription for issue no. #149', into the DevRev system for testing purposes. This is part of a larger project focused on testing the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #148, described as 'Decription for issue no. #148', into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #147, titled 'Issue no. #147' and described as 'Decription for issue no. #147', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #146, titled 'Issue no. #146' and described as 'Decription for issue no. #146', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #145, titled 'Issue no. #145' and described as 'Decription for issue no. #145', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #144, titled 'Issue no. #144' and described as 'Decription for issue no. #144', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #143, titled 'Issue no. #143' and described as 'Decription for issue no. #143', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #142, titled 'Issue no. #142' and described as 'Decription for issue no. #142', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #141, titled 'Issue no. #141' and described as 'Decription for issue no. #141', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #140, titled 'Issue no. #140' and described as 'Decription for issue no. #140', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #139, titled 'Issue no. #139' and described as 'Decription for issue no. #139', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #138, titled 'Issue no. #138' and described as 'Decription for issue no. #138', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #137, titled 'Issue no. #137' and described as 'Decription for issue no. #137', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #136, titled 'Issue no. #136' and described as 'Decription for issue no. #136', into the DevRev system for testing purposes. This is part of a project focused on testing the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #135, titled 'Issue no. #135' and described as 'Decription for issue no. #135', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #134, titled 'Issue no. #134' and described as 'Decription for issue no. #134', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #133, titled 'Issue no. #133' and described as 'Decription for issue no. #133', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #132, titled "Issue no. #132" and described as "Decription for issue no. #132", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #131, titled 'Issue no. #131' and described as 'Decription for issue no. #131', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #130, titled 'Issue no. #130' and described as 'Decription for issue no. #130', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #129, titled 'Issue no. #129' and described as 'Decription for issue no. #129', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #128, titled 'Issue no. #128' and described as 'Decription for issue no. #128', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #127, titled 'Issue no. #127' and described as 'Decription for issue no. #127', into the DevRev system for testing purposes. This is part of a project focused on testing the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #126, titled 'Issue no. #126' and described as 'Decription for issue no. #126', into the DevRev system for testing purposes. This is part of a project focused on testing the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #125, titled 'Issue no. #125' and described as 'Decription for issue no. #125', into the DevRev system for testing purposes. This involves using the project's import functionality to ensure proper data transfer.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #124, titled 'Issue no. #124' and described as 'Decription for issue no. #124', into the DevRev system for testing purposes. This involves using the DevRev import functionality to successfully transfer the issue's details.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Debug and fix a UI rendering issue in the Expensify app's expense report 'More' menu. The issue is a lack of top and bottom padding on smaller screens, affecting both Android and iOS apps and their respective mobile web versions. The fix requires understanding the app's structure, particularly its use of React Native, Onyx for data management, and potentially its styling conventions. Testing should be performed across multiple platforms to ensure a consistent 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.
AI Summary: Import GitHub issue #123, titled "Issue no. #123" and described as "Decription for issue no. #123", into the DevRev system for testing purposes. This involves using the DevRev import functionality to successfully transfer the issue's details.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #122, titled 'Issue no. #122' and described as 'Decription for issue no. #122', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #121, titled 'Issue no. #121' and described as 'Decription for issue no. #121', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #120, titled 'Issue no. #120' and described as 'Decription for issue no. #120', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #119, titled 'Issue no. #119' and described as 'Decription for issue no. #119', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #118, titled 'Issue no. #118' and described as 'Decription for issue no. #118', into the DevRev system for testing purposes. This is part of a project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #117, titled 'Issue no. #117' and described as 'Decription for issue no. #117', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
Type aware linting for oxlint
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tsgolint extends oxlint, adding type awareness to improve the quality and maintainability of Go code. It leverages Go's type system to detect potential issues and enforce coding best practices that are missed by static analysis alone.
AI Summary: Import GitHub issue #116, titled 'Issue no. #116' and described as 'Decription for issue no. #116', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #115, titled 'Issue no. #115' and described as 'Decription for issue no. #115', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #114, titled 'Issue no. #114' and described as 'Decription for issue no. #114', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #113, titled 'Issue no. #113' and described as 'Decription for issue no. #113', into the DevRev system for testing purposes. This is part of a larger project focused on testing the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #112, titled 'Issue no. #112' and described as 'Decription for issue no. #112', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #111, titled 'Issue no. #111' and described as 'Decription for issue no. #111', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #110, titled 'Issue no. #110' and described as 'Decription for issue no. #110', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #109, titled 'Issue no. #109' and described as 'Decription for issue no. #109', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #108, titled 'Issue no. #108' and described as 'Decription for issue no. #108', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #107, titled 'Issue no. #107' and described as 'Decription for issue no. #107', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #106, titled 'Issue no. #106' and described as 'Decription for issue no. #106', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #105, titled "Issue no. #105" and described as "Decription for issue no. #105", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #104, titled 'Issue no. #104' and described as 'Decription for issue no. #104', into the DevRev system for testing purposes. This involves using the DevRev import functionality to successfully transfer the issue's details.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Debug and fix a database schema issue in the OpenPanel web hosting control panel. The 'user' table is missing after a fresh installation on Ubuntu 24.04, preventing the admin user from logging in. The solution likely involves inspecting the database migration scripts or manually creating the missing table.
A highly customizable web hosting control panel built around containers 📦
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OpenPanel is a customizable web hosting control panel leveraging container technology to simplify server management. It addresses the complexities of traditional control panels by offering a flexible and efficient solution for hosting websites and applications.
AI Summary: Improve the design of the posts page on Lemon's Resting Area website. The task involves updating the visual presentation of blog posts, likely using Hugo's templating system, to match a new design shown in provided images. This may involve HTML, CSS, and potentially some JavaScript adjustments.
The website of Lemon's Resting Area
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lemon73-computing.github.io is the website for Lemon's Resting Area, providing a digital space for information and potentially community interaction. The project's key feature is its website presence, offering a centralized location for content related to the resting area.
AI Summary: Automate the daily update of the `typescript-go` submodule within the `tsgolint` project. This involves creating a script or workflow (e.g., GitHub Actions) that regularly fetches the latest changes from the `typescript-go` repository and applies any necessary patches, eliminating the need for manual updates.
Type aware linting for oxlint
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tsgolint extends oxlint, adding type awareness to improve the quality and maintainability of Go code. It leverages Go's type system to detect potential issues and enforce coding best practices that are missed by static analysis alone.
AI Summary: Import GitHub issue #103, titled 'Issue no. #103' and described as 'Decription for issue no. #103', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #102, titled 'Issue no. #102' and described as 'Decription for issue no. #102', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #101, titled "Issue no. #101" and described as "Decription for issue no. #101", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #100, titled 'Issue no. #100' and described as 'Decription for issue no. #100', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #99, titled 'Issue no. #99' and described as 'Decription for issue no. #99', into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #98, titled 'Issue no. #98' and described as 'Decription for issue no. #98', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #97, titled 'Issue no. #97' and described as 'Decription for issue no. #97', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #96, titled 'Issue no. #96' and described as 'Decription for issue no. #96', into the DevRev system for the project 'This project is used to test importing issues from Github into DevRev'.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #95, titled "Issue no. #95" and described as "Decription for issue no. #95", into the DevRev system for the project "This project is used to test importing issues from Github into DevRev."
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #94, titled 'Issue no. #94' and described as 'Decription for issue no. #94', into the DevRev system for the project 'This project is used to test importing issues from Github into DevRev'.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #93, titled 'Issue no. #93' and described as 'Decription for issue no. #93', into the DevRev system for the project 'This project is used to test importing issues from Github into DevRev'.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #92, titled 'Issue no. #92' and described as 'Decription for issue no. #92', into the DevRev system for the project 'This project is used to test importing issues from Github into DevRev'.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #91, titled 'Issue no. #91' and described as 'Decription for issue no. #91', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #90, titled 'Issue no. #90' and described as 'Decription for issue no. #90', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #89, titled 'Issue no. #89' and described as 'Decription for issue no. #89', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #88, titled 'Issue no. #88' and described as 'Decription for issue no. #88', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #87, titled "Issue no. #87" and described as "Decription for issue no. #87", into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: The task is to fix the padding on the search page of Lemon's Resting Area website. The provided image shows the current issue. This likely involves adjusting CSS styles within the Hugo website's theme or custom CSS to correct the padding.
The website of Lemon's Resting Area
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lemon73-computing.github.io is the website for Lemon's Resting Area, providing a digital space for information and potentially community interaction. The project's key feature is its website presence, offering a centralized location for content related to the resting area.
AI Summary: Import GitHub issue #86, titled 'Issue no. #86' and described as 'Decription for issue no. #86', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #85, titled "Issue no. #85" and described as "Decription for issue no. #85", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #84, titled 'Issue no. #84' and described as 'Decription for issue no. #84', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #83, titled 'Issue no. #83' and described as 'Decription for issue no. #83', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #82, titled 'Issue no. #82' and described as 'Decription for issue no. #82', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #81, titled 'Issue no. #81' and described as 'Decription for issue no. #81', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #80, titled 'Issue no. #80' and described as 'Decription for issue no. #80', into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #79, titled 'Issue no. #79' and described as 'Decription for issue no. #79', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #78, titled 'Issue no. #78' and described as 'Decription for issue no. #78', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #77, titled 'Issue no. #77' and described as 'Decription for issue no. #77', into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #76, titled 'Issue no. #76' and described as 'Decription for issue no. #76', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #75, titled "Issue no. #75" and described as "Decription for issue no. #75", into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #74, titled 'Issue no. #74' and described as 'Decription for issue no. #74', into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #73, titled 'Issue no. #73' and described as 'Decription for issue no. #73', into the DevRev system for the project 'This project is used to test importing issues from Github into DevRev'.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #72, titled 'Issue no. #72' and described as 'Decription for issue no. #72', into the DevRev system for the project 'This project is used to test importing issues from Github into DevRev'.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #71, titled 'Issue no. #71' and described as 'Decription for issue no. #71', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #70, titled 'Issue no. #70' and described as 'Decription for issue no. #70', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #69, titled 'Issue no. #69' and described as 'Decription for issue no. #69', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #68, titled 'Issue no. #68' and described as 'Decription for issue no. #68', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #67, titled 'Issue no. #67' and described as 'Decription for issue no. #67', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #66, titled 'Issue no. #66' and described as 'Decription for issue no. #66', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #65, titled 'Issue no. #65' and described as 'Decription for issue no. #65', into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #64, titled 'Issue no. #64' and described as 'Decription for issue no. #64', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #63, titled 'Issue no. #63' and described as 'Decription for issue no. #63', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #62, titled 'Issue no. #62' and described as 'Decription for issue no. #62', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #61, titled 'Issue no. #61' and described as 'Decription for issue no. #61', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #60, titled 'Issue no. #60' and described as 'Decription for issue no. #60', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #59, titled 'Issue no. #59' and described as 'Decription for issue no. #59', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #58, titled 'Issue no. #58' with description 'Decription for issue no. #58', into the DevRev project used for testing GitHub import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #57, titled 'Issue no. #57' and described as 'Decription for issue no. #57', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #56, titled 'Issue no. #56' and described as 'Decription for issue no. #56', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #55, titled 'Issue no. #55' and described as 'Decription for issue no. #55', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #54, titled 'Issue no. #54' and described as 'Decription for issue no. #54', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #53, titled 'Issue no. #53' and described as 'Decription for issue no. #53', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #52, titled 'Issue no. #52' and described as 'Decription for issue no. #52', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #51, titled "Issue no. #51" and described as "Decription for issue no. #51", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #50, titled 'Issue no. #50' and described as 'Decription for issue no. #50', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #49, titled 'Issue no. #49' and described as 'Decription for issue no. #49', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #48, titled 'Issue no. #48' and described as 'Decription for issue no. #48', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #47, titled 'Issue no. #47' and described as 'Decription for issue no. #47', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #46, titled 'Issue no. #46' and described as 'Decription for issue no. #46', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #45, titled 'Issue no. #45' and described as 'Decription for issue no. #45', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #44, titled 'Issue no. #44' and described as 'Decription for issue no. #44', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #43, titled 'Issue no. #43' and described as 'Decription for issue no. #43', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #42, titled 'Issue no. #42' and described as 'Decription for issue no. #42', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #41, titled 'Issue no. #41' and described as 'Decription for issue no. #41', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #40, titled 'Issue no. #40' and described as 'Decription for issue no. #40', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #39, titled 'Issue no. #39' and described as 'Decription for issue no. #39', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #38, titled 'Issue no. #38' and described as 'Decription for issue no. #38', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #37, titled 'Issue no. #37' and described as 'Decription for issue no. #37', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #36, titled 'Issue no. #36' and described as 'Decription for issue no. #36', into the DevRev system for testing purposes. This involves using the import functionality to ensure the issue's details are correctly transferred.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #35, titled 'Issue no. #35' and described as 'Decription for issue no. #35', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #34, titled 'Issue no. #34' and described as 'Decription for issue no. #34', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #33, titled 'Issue no. #33' and described as 'Decription for issue no. #33', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #32, titled 'Issue no. #32' and described as 'Decription for issue no. #32', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #31, titled 'Issue no. #31' and described as 'Decription for issue no. #31', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #30, titled 'Issue no. #30' and described as 'Decription for issue no. #30', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #29, titled 'Issue no. #29' and described as 'Decription for issue no. #29', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #28, titled 'Issue no. #28' and described as 'Decription for issue no. #28', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #27, titled "Issue no. #27" and described as "Decription for issue no. #27", into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #26, titled 'Issue no. #26' and described as 'Decription for issue no. #26', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #25, titled 'Issue no. #25' and described as 'Decription for issue no. #25', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #24, titled 'Issue no. #24' with description 'Decription for issue no. #24', into the DevRev system for testing purposes. The project is a test project for importing GitHub issues.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #23, titled 'Issue no. #23' and described as 'Decription for issue no. #23', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #22, titled 'Issue no. #22' and described as 'Decription for issue no. #22', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #21, titled "Issue no. #21" and described as "Decription for issue no. #21", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #20, titled "Issue no. #20" and described as "Decription for issue no. #20", into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #19, titled 'Issue no. #19' and described as 'Decription for issue no. #19', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #18, titled "Issue no. #18" and described as "Decription for issue no. #18", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #17, titled 'Issue no. #17' and described as 'Decription for issue no. #17', into the DevRev system for testing purposes. This involves using the DevRev import functionality to successfully transfer the issue's details.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #16, titled "Issue no. #16" and described as "Decription for issue no. #16", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #15, titled "Issue no. #15" and described as "Decription for issue no. #15", into the DevRev system for testing purposes. This is part of a project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Create a base C++ class for device drivers to be used in the embedded flight computer software. The class must include a constructor, destructor, and a simple test method to verify initialization and destruction.
Embedded software for the flight computer
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The Flight-Computer-Firmware project develops embedded software for a flight computer, addressing the need for reliable and efficient control systems in aerospace applications. Key features include [insert key features if available from other sources, otherwise remove this clause].
AI Summary: Import GitHub issue #14, titled 'Issue no. #14' and described as 'Decription for issue no. #14', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #13, titled 'Issue no. #13' and described as 'Decription for issue no. #13', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #12, titled 'Issue no. #12' and described as 'Decription for issue no. #12', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #11, titled 'Issue no. #11' and described as 'Decription for issue no. #11', into the DevRev system for testing purposes. This involves using the DevRev import functionality to successfully transfer the issue's details.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #10, titled 'Issue no. #10' and described as 'Decription for issue no. #10', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #9, titled 'Issue no. #9' and described as 'Decription for issue no. #9', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #8, titled 'Issue no. #8' and described as 'Decription for issue no. #8', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub import functionality within DevRev.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #7, titled 'Issue no. #7' and described as 'Decription for issue no. #7', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #6, titled 'Issue no. #6' and described as 'Decription for issue no. #6', into the DevRev system for testing purposes.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Implement functionality in the Graphite 2D vector and raster editor to set the node ID in SVG exports to the layer name. This will allow external tools to utilize the layer names for styling and animation within the exported SVG file.
2D vector & raster editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.
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Graphite is a 2D vector and raster editor addressing the limitations of traditional image editing by integrating a node-based, non-destructive workflow. This allows for procedural generation and complex manipulations without permanently altering the original assets, offering greater flexibility and control.
AI Summary: Import GitHub issue #5, titled 'Issue no. #5' and described as 'Decription for issue no. #5', into the DevRev project designed for testing GitHub issue imports.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #4, titled 'Issue no. #4' and described as 'Decription for issue no. #4', into the DevRev system for the project 'This project is used to test importing issues from Github into DevRev'.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #3, titled 'Issue no. #3' and described as 'Decription for issue no. #3', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #2, titled 'Issue no. #2' and described as 'Decription for issue no. #2', into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Import GitHub issue #1, titled "Issue no. #1", with the description "Decription for issue no. #1", into the DevRev system for testing purposes. This is part of a larger project focused on verifying the GitHub to DevRev import functionality.
This project is used to test importing issues from Github into DevRev.
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The test-project facilitates the import of GitHub issues into DevRev, streamlining issue tracking and management. This allows for centralized issue handling and improved workflow between the two platforms.
AI Summary: Remove a list of outdated SIP identifiers from the Koha integrated library system. This task requires coordination with the support team and confirmation that no active identifiers are included before deletion. The list of identifiers has already been sent to the support team via email.
(KOHA) Koha is a free software integrated library system (ILS). Koha is distributed under the GNU GPL version 3 or later. Note: this is a synced mirror of the official Koha repo.
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Koha is a free and open-source Integrated Library System (ILS) that solves the need for affordable and customizable library management software. Its key features include cataloging, circulation, acquisitions, and patron management, all accessible under the GNU GPL license.
Type aware linting for oxlint
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tsgolint extends oxlint, adding type awareness to improve the quality and maintainability of Go code. It leverages Go's type system to detect potential issues and enforce coding best practices that are missed by static analysis alone.
AI Summary: Implement a keyboard shortcut (Shift+X) in the F3D 3D viewer to toggle the visibility of the axes grid. This involves modifying the `interactor_impl.cxx` file, updating documentation, and adding tests to ensure functionality.
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: The task is to improve the `logCallTrimmer` function within the lakeFS logging infrastructure. The current implementation incorrectly strips filenames when the repository is not named "lakefs", causing issues in various scenarios, including builds in differently named directories, other projects reusing the logging infrastructure, and the lakeFS enterprise server. The solution likely involves modifying how the `ProjectDirectoryName` is handled, perhaps by injecting it differently, using a variable holding a regular expression, or another suitable method.
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: Improve the visual design of quote blocks on the Lemon's Resting Area website. This likely involves modifying the CSS to adjust styling elements such as font, size, color, background, margins, and padding to create a more visually appealing and readable quote display.
The website of Lemon's Resting Area
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lemon73-computing.github.io is the website for Lemon's Resting Area, providing a digital space for information and potentially community interaction. The project's key feature is its website presence, offering a centralized location for content related to the resting area.
AI Summary: Manually update the `requirements.txt` file using the `pigar` tool. This involves installing `pigar`, running the `pigar gen -f requirements.txt .` command in the project's root directory, reviewing the changes using `git diff`, and committing the updated `requirements.txt` if the changes are acceptable.
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The project 'watchdog' 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: Create an "awesome list" for the Fedify ActivityPub server framework, categorizing real-world examples, tutorials, articles, and other resources to help users discover existing projects and learn how to use Fedify. The list should include categories for services, frameworks, tutorials, and videos/talks, and address questions about language labeling and inclusion criteria.
ActivityPub server framework in TypeScript
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Fedify is a TypeScript framework for building ActivityPub servers, simplifying the process of creating federated social networks. It provides a robust foundation for developers to easily implement ActivityPub functionality, enabling interoperability with other federated platforms.
AI Summary: The task is to add support for a new Tuya-based water irrigation pump and timer device to the Homebridge-Tuya plugin. This involves analyzing the provided device information (including its properties and functions from the Tuya API logs) and implementing a new driver within the plugin to correctly represent and control the device's features (on/off, duration, interval, etc.) within the HomeKit environment.
Homebridge custom plugin for controlling Powered by Tuya (PBT) devices in HomeKit. This plugin is officially maintained by the Tuya Developer Team.
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tuya-homebridge is a Homebridge plugin enabling HomeKit control of Tuya-based smart home devices. It solves the problem of integrating Tuya devices into Apple's HomeKit ecosystem, offering official support and maintenance from the Tuya Developer Team.
AI Summary: Conduct a team sync meeting, including recording the session, individual check-ins, discussion of the week's work (linked in the issue description), and posting the recording afterwards.
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The Docker-Practice project provides a hands-on environment for learning Docker. It offers a collection of exercises and examples demonstrating core Docker concepts such as building images, running containers, and managing networks.
AI Summary: The task is to design and implement a PostgreSQL function, `vchordrq_evaluate_query_recall`, that efficiently estimates the recall of vector similarity searches using the `vchordrq` index. The function's input syntax needs to be finalized, considering options for specifying the query and parameters. The goal is to provide a reliable metric for determining when to reindex the `vchordrq` index based on recall degradation, improving upon the current heuristic of reindexing after a 4x data increase.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
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VectorChord is a high-performance vector search extension for PostgreSQL, addressing the need for scalable and efficient similarity search within a database context. It offers significant improvements over its predecessor, pgvecto.rs, providing faster search speeds and optimized disk usage for large-scale vector datasets.
AI Summary: The issue describes a bug where custom hats, added via the "More Customizations" mod for the PEAK game, do not display correctly in the end scene. The task is to debug and fix this rendering problem within the mod's code, likely involving examination of the rendering pipeline and how the mod interacts with the game's end-scene rendering logic. This might require familiarity with Unity's rendering system and the PEAK game's codebase.
This mod manages to allow adding more customization options by utilizing AssetBundle.
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The 'peak-more-customizations' mod enhances existing games by adding more customization options. It achieves this by leveraging AssetBundles, allowing for flexible and extensive modification without core game file changes.
AI Summary: The task involves standardizing participant IDs and visit dates across multiple Alzheimer's disease datasets (NACC or ADNI), merging them into a single long-format CSV file with all columns retained, saving intermediate cleaned tables, and committing changes under Git version control. Missing MRI or APOE data should be flagged for later review but not dropped.
Classifying alzheimer's disease using biomarkers and ML
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The Alzheimers-ML-Project uses machine learning to classify Alzheimer's disease based on biomarkers. This project aims to improve early diagnosis and potentially aid in the development of more effective treatments by leveraging the power of predictive modeling.
AI Summary: Create a manifest file (manifest.webmanifest) and potentially additional assets (icons in various sizes) to enable mobile bookmarking and improve the website's appearance on mobile devices. The manifest should include details like the website's name, short name, icons, display settings, and theme color, aligning with the existing vTaiwan Neo design.
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 memory allocation issues observed in the AstroCoords.jl Julia package when running on Julia version 1.10. The CI runs provide information on the specific allocations to be debugged and fixed.
A Julia library for representing orbits in a variety of coordinate sets
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AstroCoords.jl is a Julia library designed to simplify the representation and manipulation of astronomical orbits. It provides tools for converting between various coordinate systems, streamlining calculations and analysis in astrophysics and related fields.
AI Summary: Set up the basic HTML, CSS, and JavaScript file structure for a coworking space booking web app. This includes creating a header, navigation bar, footer, and a basic landing page layout.
A group project web app that connects remote workers with shared workspaces, like desks or meeting rooms, offered by providers. Inspired by platforms like Uber and Airbnb, the app makes it easy to find, book, and manage coworking spaces. Built using frameworks and tools covered in class.
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The Shared-Workspace-Web-App solves the problem of finding and booking shared workspaces for remote workers by connecting them with providers in a user-friendly platform. Key features include easy search and booking functionality, inspired by services like Uber and Airbnb, built using class-covered technologies.
AI Summary: Add a new `isolation` parameter to the `modifier_order` rule in SwiftLint to allow developers to specify the order of `isolated` and `nonisolated` modifiers. This involves modifying the rule's configuration structure, updating the rule's logic to handle the new parameter, and potentially updating the documentation.
A tool to enforce Swift style and conventions.
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SwiftLint is a tool that enforces Swift style and conventions, improving code readability and maintainability. It automatically identifies style violations in Swift code, helping developers adhere to a consistent coding style and reducing the need for manual code reviews.
AI Summary: Develop basic login and signup forms with email and password fields, including input validation (required fields and email format verification), and a toggle for password visibility. This is a frontend-only task using mock data; backend integration is not required at this stage.
AI-powered tool designed to detect, analyze, and flag risks in land ownership documents to prevent land-related disputes.
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SMALDA is an AI-powered solution that mitigates land ownership disputes by automatically detecting and analyzing risks within land documents. Its key features include risk detection and flagging, providing users with a proactive approach to preventing costly legal battles.
AI Summary: Implement a disclaimer pop-up on the PreSure demo website to clearly inform users that it's a demo and not a functional production prototype, preventing attempts to connect Arduino devices.
PreSure is a robust and user-friendly application designed to facilitate the collection and analysis of pressure sensor data for scientific and research applications.
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PreSure simplifies pressure sensor data collection and analysis for scientific research. It offers a user-friendly interface and robust tools for managing and interpreting pressure data, streamlining the research workflow.
AI Summary: The task is to debug and fix the `match_semicolon` function within Ruff's import insertion logic. The function currently fails to correctly handle form feed characters (U+000C), leading to incorrect import insertion and potential syntax errors when fixing `missing-required-import` violations. The solution involves modifying the whitespace handling within `match_semicolon` to properly recognize form feed characters as whitespace.
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: Investigate and implement a reduction in the attack surface of specific root files within the Green Metrics Tool (GMT) by replacing full root access with more granular Linux capabilities (CAP_SYS). This involves analyzing the required permissions for each file and modifying the system to grant only the necessary capabilities instead of full root privileges. The goal is to enhance security without compromising functionality.
Measure energy and carbon consumption of software
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The green-metrics-tool measures the energy and carbon footprint of software projects. This helps developers understand and reduce the environmental impact of their code, promoting sustainable software development practices.
AI Summary: Update the project's README file to clarify its dependencies, changing the wording to accurately reflect its reliance on the Go standard library and a few external packages. Additionally, reformat the 'Available Commands' section into a more readable markdown table.
A modern Git CLI tool with both traditional command-line and interactive incremental-search UI.
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ggc is a modern Git command-line interface that improves upon traditional Git commands by offering both a familiar command-line experience and an innovative interactive incremental-search UI. This dual approach streamlines Git workflows, making them faster and more intuitive for users of all skill levels.
AI Summary: Debug and fix a corporate proxy issue in the ZapZap WhatsApp desktop application. The application uses PyQt6 and PyQt6-WebEngine, and the proxy configuration is not working correctly in the latest release. The solution may involve reviewing the proxy settings handling within the application's code, potentially involving network configuration and testing with different proxy types.
WhatsApp desktop application written in PyQt6 + PyQt6-WebEngine.
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zapzap is a WhatsApp desktop application built using PyQt6 and PyQt6-WebEngine. It addresses the need for a native desktop WhatsApp experience, offering a familiar interface and improved functionality compared to the web version.
AI Summary: This task involves adding support for AlmaLinux 10 to the Trivy vulnerability scanner. This requires updating the vulnerability database (`vuln-list-update`) to include AlmaLinux 10 advisories, rebuilding the Trivy database (`trivy-db`), and finally updating the Trivy scanner itself to correctly identify and report vulnerabilities in AlmaLinux 10 images. The process involves using various command-line tools and potentially interacting with a BoltDB database.
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
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Trivy is a comprehensive security scanner that detects vulnerabilities, misconfigurations, secrets, and creates Software Bill of Materials (SBOMs) across various environments, including containers, Kubernetes, code repositories, and cloud platforms. It simplifies the process of identifying and mitigating security risks in diverse software development and deployment workflows.
AI Summary: Update the project's README file to reflect the change in the documentation build process from using Bun to using Node.js with pnpm. This involves replacing the outdated Bun commands with the correct pnpm commands.
ActivityPub server framework in TypeScript
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Fedify is a TypeScript framework for building ActivityPub servers, simplifying the process of creating federated social networks. It provides a robust foundation for developers to easily implement ActivityPub functionality, enabling interoperability with other federated platforms.
AI Summary: Debug and fix an API search function that is currently returning incorrect (unpopular) song results. The goal is to ensure the API correctly retrieves popular songs based on search queries.
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The music-player project aims to provide a user-friendly interface for playing music files. Key features would likely include playlist creation, basic playback controls, and potentially additional functionalities such as volume adjustment and song selection.
AI Summary: Implement Zellij support for Tome Playbooks, allowing users to open and interact with playbooks within a Zellij session, mirroring the existing functionality with tmux and Vim-only modes. This involves adding Zellij-specific commands and potentially modifying existing code to handle the differences in the multiplexer's API and behavior.
🔁 Interactive Script playbooks for your terminal with Vim/Neovim (and Tmux)
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Tome solves the problem of managing complex terminal workflows by providing interactive script playbooks. It leverages Vim/Neovim and Tmux for a powerful and efficient user experience, allowing users to easily navigate and execute commands within a structured environment.
AI Summary: Fix a bug on the Android app where the keyboard doesn't automatically open when the search input is focused after the first time. The bug is reproducible on both staging and production environments. The task involves debugging and fixing the Android-specific code related to keyboard behavior and input focus within the search functionality.
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 setting up Gemini and Claude AI code review tools on GitHub. This includes installing GitHub apps, configuring GitHub Actions with API keys and YAML workflows, and testing the integration to ensure automated code reviews are triggered on pull requests. Both manual and automated setup methods are described for each tool.
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pptr-scraper 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: Investigate why the `resdata` Python package throws an error when processing the 'field gas mass injection total' (FGMIT) from an Eclipse reservoir simulator summary file, even though the name suggests it should be a total. Determine if this is expected behavior and, if so, explain why FGMIT isn't recognized as a total in the specified code section (rd_sum.py#L1056).
Software for reading and writing the result files from the Eclipse reservoir simulator.
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resdata is software designed to streamline the process of reading and writing result files generated by the Eclipse reservoir simulator. This simplifies data extraction and manipulation, improving workflow efficiency for reservoir engineers and analysts.
AI Summary: Debug and fix a bug in the ReaSonus Faderport Native plugin where using the pan envelope on a FaderPort v2 unexpectedly creates a volume envelope instead. This requires investigating the code to identify why pan envelope selection isn't correctly handled and implementing a fix.
About Control REAPER with your FaderPort 8, 16 or V2 as it was intended
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Reasonus-Native provides native control of the REAPER Digital Audio Workstation (DAW) using a PreSonus FaderPort 8, 16, or V2 controller. It solves the problem of limited or non-existent native integration by offering a seamless and intuitive workflow, allowing for direct manipulation of mixer levels, transport controls, and other DAW functions.
AI Summary: Add support for a second PV array (PV2) to the Solar2MQTT project, specifically for the Anern -SCI-MAX 10200 inverter. This involves identifying the communication protocol used by the inverter for PV2 data and implementing the necessary code changes to read and transmit this data via the existing WiFi and MQTT interfaces.
ESP8266 based WiFi and MQTT interface for MPPT Inverters that use watchpower
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Solar2MQTT is an ESP8266-based interface enabling MQTT and WiFi connectivity for MPPT inverters using Watchpower software. Key features include a captive portal for configuration, web interface control, and data retrieval via MQTT or JSON, supporting various inverter brands and offering Home Assistant integration.
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Keye is a project whose purpose and features are undefined due to missing project description and README. Therefore, no summary of its problem-solving capabilities or key features can be provided.
AI Summary: The task is to publish Docker Hub tags 3.7.5 and 3.7.6 for the ThingsBoard IoT Gateway project. This ensures users can specify and reproduce builds using exact versions, rather than relying on the potentially unstable `3.7-latest` tag.
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: Develop a C# console application that interacts with a MCP server to manage and display monkey data. The application should allow users to list all monkeys, retrieve details by name, select a random monkey, and feature an interactive menu with ASCII art. The application must use .NET 9, C# 13, and follow specified coding standards and architectural patterns.
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CatApp is a project with an undefined description and no provided README, making it impossible to summarize its problem-solving capabilities or key features.
AI Summary: The task is to add support for various modifiable types of shoulder screws to the FreeCAD Fasteners Workbench. This involves adding new fastener types to the workbench's database and potentially updating the existing code to handle the additional parameters required for these new screw types.
A workbench to add/attach various fasteners to parts
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FreeCAD_FastenersWB is a FreeCAD workbench that simplifies the process of adding and attaching various fasteners (bolts, screws, nuts, etc.) to 3D models. It streamlines the design process by providing tools for quick placement and accurate representation of fasteners, eliminating manual modeling.
AI Summary: Create a `requirements.txt` file listing all Python packages needed to run the genomic prediction ensemble, enabling users to set up the project using `pip` instead of conda. This involves identifying all dependencies used in the project and listing them in the `requirements.txt` file, ensuring the project can be reproduced in a standard Python virtual environment.
Copy of ShunichiroT ensemble for genomic prediction
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This project, shunichiroT_copy, replicates the ShunichiroT ensemble model for genomic prediction. It aims to improve the accuracy and efficiency of predicting genomic traits by leveraging the ensemble approach, offering a readily available and reproducible version of the original model.
AI Summary: Migrate remaining React components from React Bits to Vue Bits, ensuring functionality, styling, and props are preserved. This involves selecting a component, creating the Vue component structure, migrating the code, creating a demo, testing thoroughly, and submitting a pull request with screenshots.
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vue-bits is a project whose description and README are currently unavailable, therefore a functional summary cannot be provided. Further information is needed to describe its problem-solving capabilities and key features.
AI Summary: The issue is that a custom Sentinel rule deployment from a GitHub repo fails with a 'file doesn't exist' warning, even though the file exists in the repo. The task is to debug why the deployment process cannot locate the 'Scheduled Task Created via Schtasks.json' file, while other similarly structured files deploy correctly. This likely involves investigating the deployment script's file path handling, potentially differences in file naming conventions or permissions, and comparing the successful and failing deployments to identify the root cause.
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
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Azure Sentinel is a cloud-native Security Information and Event Management (SIEM) solution that addresses the challenge of effectively analyzing security data across an entire enterprise. Its key features include intelligent security analytics, threat detection, and incident response capabilities, all within the Azure cloud environment.
AI Summary: Automate the generation of version-specific artifacts within the Wanaku MCP Router project. This involves refactoring the build process to ensure all version information is either embedded within automatically generated files or handled via templating, eliminating the need for manual version updates in source code and preventing issues with version control during releases.
Wanaku MCP Router
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Wanaku is a MCP (Multi-Channel Protocol) router designed to efficiently manage and route data across multiple communication channels. It solves the problem of complex data routing by providing a centralized and streamlined solution, offering features such as flexible protocol support and optimized data flow.
AI Summary: Adapt the existing LinkUp.AI web application, built with React.js and Next.js, to be responsive and function correctly on Android devices. This involves ensuring proper rendering and functionality across various screen sizes and resolutions, addressing any potential layout or interaction issues on smaller screens.
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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 troubleshooting an issue where Apple Intelligence is enabled on a Mac (following a specific script's instructions), but ChatGPT login fails despite successful web login. The solution likely involves investigating potential conflicts between the script's modifications and ChatGPT's authentication process, possibly related to regional settings or proxy configurations.
Enable Apple Intelligence on Macs sold in Mainland China with SIP enabled, tested on MacOS 15.4.1+ and 26 beta
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The enableAppleAI project overcomes restrictions on Apple's built-in intelligence features on Macs sold in Mainland China with System Integrity Protection (SIP) enabled. It achieves this on macOS versions 15.4.1 and later, including beta releases, allowing users to access these features.
AI Summary: Refactor the `GCSTokenProvider.java` file to wrap the `FileInputStream` used in obtaining GoogleCredentials within a try-with-resources block, ensuring proper resource management and preventing potential resource leaks.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
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Apache Gravitino is a high-performance, geo-distributed metadata lake that solves the problem of managing metadata across diverse sources. Key features include unified metadata management, end-to-end data governance, and direct metadata management via connectors, enabling efficient access and control of data and AI assets.
AI Summary: The task is to fix a disabled Spark Streaming test for Spark 4 in the OpenLineage project. This involves debugging the test, enabling it, and removing a TODO comment. The fix should ensure the test passes successfully.
An Open Standard for lineage metadata collection
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OpenLineage solves the problem of fragmented and inconsistent data lineage metadata by providing an open standard for its collection. Key features include a standardized schema and interoperability between different data processing tools, enabling better data observability and troubleshooting.
AI Summary: Implement user registration and login functionality for a farmer-focused AI and blockchain assistant using JWT authentication. This involves creating POST routes for registration and login, securely storing user data (including hashed passwords) in a database, and returning JWT tokens upon successful login. Passport.js or a similar library is recommended. Testing can be done with mock data.
AI and blockchain powered assistant that helps farmers forecast needs based on season/weather + suggest nearby vendors.
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FarmAssist is an AI and blockchain-powered tool designed to help farmers optimize their operations. It forecasts agricultural needs based on seasonal and weather data, and suggests nearby vendors for necessary supplies, improving efficiency and reducing waste.
AI Summary: Implement security best practices in a Next.js application, including HTTPS enforcement, password hashing and salting, secure credit card data handling, role-based access control, and audit logging.
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The gargdental project's purpose is currently undefined due to missing project description and README. Therefore, no problem solved or key features can be identified.
AI Summary: Initialize the backend for a pothole reporting platform using the ASP.NET Boilerplate template. This involves creating a new ABP project, building the solution in Visual Studio, setting the Web.Host project as the startup project, and setting up the database.
A simple reporting platform where citizens can report potholes, and municipalities can track and manage repairs.
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Potholio is a citizen reporting platform that addresses the problem of inefficient pothole repair by allowing citizens to easily report potholes and providing municipalities with a centralized system to track and manage repairs. Key features include streamlined reporting and a centralized management dashboard for efficient repair prioritization and tracking.
AI Summary: The issue is that the macOS pre-built binary for kanata-tray fails verification during installation. The task is to debug and fix the verification failure, likely involving code signing or certificate issues related to the macOS build process. This might involve investigating the build process, signing certificates, and potentially updating the build scripts or configuration to correctly sign the binary for macOS.
Tray Icon for Kanata
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kanata-tray provides a system tray icon for Kanata, enhancing user experience by allowing quick access to Kanata's functionality without needing to keep the main application window open. This improves workflow efficiency and reduces screen clutter.
AI Summary: Implement Role-Based Access Control (RBAC) for a land ownership risk detection tool. This involves defining roles (Admin, User, Lawyer) within the user entity, using custom decorators and guards to protect sensitive endpoints like document deletion and user management, ensuring only Admins can delete documents.
AI-powered tool designed to detect, analyze, and flag risks in land ownership documents to prevent land-related disputes.
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SMALDA is an AI-powered solution that mitigates land ownership disputes by automatically detecting and analyzing risks within land documents. Its key features include risk detection and flagging, providing users with a proactive approach to preventing costly legal battles.
AI Summary: Write unit tests using Jest and Supertest to verify the functionality of the risk evaluation and OCR extraction services within a land ownership risk detection tool. Tests should validate input and output data.
AI-powered tool designed to detect, analyze, and flag risks in land ownership documents to prevent land-related disputes.
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SMALDA is an AI-powered solution that mitigates land ownership disputes by automatically detecting and analyzing risks within land documents. Its key features include risk detection and flagging, providing users with a proactive approach to preventing costly legal battles.
AI Summary: Create an API endpoint that accepts parsed land ownership document data (parties involved, land description, prior conflicts) and returns a structured JSON legal summary. Mock logic is permitted for this task.
AI-powered tool designed to detect, analyze, and flag risks in land ownership documents to prevent land-related disputes.
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SMALDA is an AI-powered solution that mitigates land ownership disputes by automatically detecting and analyzing risks within land documents. Its key features include risk detection and flagging, providing users with a proactive approach to preventing costly legal battles.
AI Summary: Implement user authentication for the land ownership risk detection tool using JWT (JSON Web Tokens). This involves creating signup and login endpoints, hashing passwords using bcrypt, generating JWTs upon successful login, and securing protected API routes using guards. The API endpoints will be POST /auth/register and POST /auth/login.
AI-powered tool designed to detect, analyze, and flag risks in land ownership documents to prevent land-related disputes.
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SMALDA is an AI-powered solution that mitigates land ownership disputes by automatically detecting and analyzing risks within land documents. Its key features include risk detection and flagging, providing users with a proactive approach to preventing costly legal battles.
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 ('metIvl8IKFOq80JO3rZwee') 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.
AI Summary: Develop a geolocation service with a RESTful API to store and retrieve land coordinates associated with dispute statuses. The API should accept POST requests to save latitude/longitude pairs and their dispute status, and GET requests to retrieve all points within a specified region. This data will be used to power a frontend map view displaying dispute-prone areas.
AI-powered tool designed to detect, analyze, and flag risks in land ownership documents to prevent land-related disputes.
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SMALDA is an AI-powered solution that mitigates land ownership disputes by automatically detecting and analyzing risks within land documents. Its key features include risk detection and flagging, providing users with a proactive approach to preventing costly legal battles.
AI Summary: Integrate an OpenAI or Claude API into a land ownership risk assessment tool to create a `/chat` endpoint that accepts user questions (and optionally a document ID) and returns AI-generated legal advice. The endpoint must securely handle API keys and log chat interactions to a database.