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AI Summary: Update the outdated jQuery 1.10.2 library used in the Git for Windows website's assets to the latest stable version. This involves downloading the new jQuery library, replacing the old file in the project's `assets/js` directory, and verifying the website's functionality after the update.
A fork of Git containing Windows-specific patches.
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This project is a forked version of Git, specifically designed to address compatibility issues and provide enhanced functionality for Windows users. It incorporates Windows-specific patches to improve performance and stability, resolving problems encountered when using the standard Git distribution on Windows systems.
AI Summary: Organize the project file structure by moving frontend-related files (like index.html and tailwind.config.js) into the Frontend/ directory and ensuring backend configuration files remain within the Backend/ directory. This will resolve build conflicts and improve project organization.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: This task requires updating the Kubebuilder end-to-end (e2e) test configuration to leverage Kind's native NetworkPolicy support, eliminating the need for a custom Calico CNI setup. This involves removing Calico installation steps from the `setup.sh` script, removing custom CNI configuration from `kind-config.yaml`, verifying the e2e tests still pass, and updating relevant documentation to reflect the change.
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 efficiency.
AI Summary: Debug and fix issues in the r5py Python library related to GTFS data loading. The library should correctly handle both zipped and unzipped GTFS feeds, accurately identify service days, and avoid spurious EmptyFieldErrors when loading valid GTFS data. The solution involves investigating the GTFS parsing logic within r5py, potentially improving error handling and data validation.
Rapid Realistic Routing with R5 in Python
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r5py provides a Pythonic interface for the R5 routing engine, enabling rapid and realistic route calculation. It simplifies the integration of advanced routing capabilities into Python applications, solving the problem of complex route planning in various domains.
AI Summary: Create a Python utility function, `error_if_none`, to handle optional variables in the ophyd-async library. This function will raise a `RuntimeError` if a given value is None, otherwise it returns the value. Then, find and replace instances in the ophyd-async codebase where this pattern of checking for None and raising an error is repeated, replacing them with calls to the new utility function.
Hardware abstraction for bluesky written using asyncio
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ophyd-async provides an asyncio-based hardware abstraction layer for bluesky, a Python framework for controlling scientific instruments. It solves the problem of efficiently managing asynchronous operations common in instrument control, improving performance and responsiveness.
AI Summary: The task is to improve the user interface of the openEO Vue components to better handle federated backends' UDP support. Specifically, the current warning message about unavailable services is misleading because it's a limitation of the aggregator, not the backends themselves. The solution involves modifying the Vue components to display a more accurate and less alarming message, clarifying that the issue is with the aggregator's handling of UDPs and not the individual backends.
Common Vue components for openEO.
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openeo-vue-components provides reusable Vue.js components for building user interfaces interacting with the openEO API. This simplifies development by offering pre-built components for common tasks, improving consistency and reducing development time for openEO applications.
AI Summary: Implement a backend endpoint (`/auth/link-wallet`) to allow users to link their Web3 wallets to their profiles. This involves receiving a wallet address and signature, verifying the signature using ethers.js (potentially with a nonce), and storing the linked address in the user's profile. Robust error handling for invalid signatures is required.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Prepare a new Git repository for the Solana Options Standard SDK. This involves setting up the basic repository structure, potentially including a README, license, and `.gitignore` file, to prepare for future SDK development. The repository will initially be empty, serving as a foundation for the project.
The Solana Options Standard is an open source SDK that allows for the creation, execution, and assignment of option contracts on the Solana Blockchain.
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The Solana Options Standard SDK facilitates the creation, execution, and settlement of options contracts on the Solana blockchain. It solves the problem of lacking standardized options trading infrastructure on Solana, enabling developers to build decentralized options trading applications. Key features include streamlined contract creation and management, and on-chain execution.
AI Summary: The task is to investigate and debug a reported bug in FreeCAD's Assembly workbench where the Bill of Materials (BOM) incorrectly duplicates sub-assemblies. This involves analyzing the provided sample assembly file, comparing the behavior of different assembly insertion methods ('make link' vs. 'assembly_insert'), and potentially reviewing the relevant FreeCAD source code to identify and fix the root cause of the duplication.
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
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FreeCAD is a free and open-source 3D parametric modeler that solves the need for accessible and customizable 3D modeling software. Its key features include multiplatform compatibility and a focus on parametric modeling, allowing for easy modification and iteration of designs.
AI Summary: Debug and fix a broken Docker build script for the Data Validation Tool (DVT) example provided in the `samples/docker` directory. The script fails to build the Docker image due to a missing wheel file, resulting in a checksum calculation error. The solution involves identifying the cause of the missing wheel file (likely a path issue or dependency problem) and correcting the build script to ensure the correct wheel file is included in the Docker image.
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
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The `professional-services-data-validator` utility addresses data discrepancies between different systems by comparing source and target tables. It supports both homogeneous and heterogeneous environments, ensuring data integrity and consistency across platforms. Key features include robust comparison capabilities and flexible handling of diverse data formats.
AI Summary: Develop a fully responsive and accessible blog page for Fundable using Next.js, adhering to a provided Figma design. The page must be functional across all screen sizes and meet accessibility standards. A Loom video demonstrating the completed page is required.
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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 issue is that the HTML editor within Gutenberg's block editor overflows its container when using a block theme. The solution likely involves adding `box-sizing: border-box` to the `BlockHTML` component to ensure proper sizing, independent of the active theme's stylesheet.
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 solves the problem of creating and managing complex website content by providing a flexible, intuitive interface with reusable blocks for various content types.
AI Summary: The task involves reviewing and modifying two existing tldr pages (nix3-store and nix3-why-depends) and potentially a third (nix-classic) to improve the presentation of file paths, replacing ellipses (...) with a more suitable alternative. This requires familiarity with Markdown and the tldr project's style guidelines.
📚 Collaborative cheatsheets for console commands
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tldr is a collaborative project that addresses the problem of easily accessing and sharing console command cheatsheets. It provides a platform for users to create, edit, and share concise summaries of commands, improving productivity and knowledge sharing.
AI Summary: Implement a new Budibase App Action that allows setting focus to a specific HTML element within an application. This action should be triggered programmatically, potentially within an existing action flow (e.g., button click or page load), and should work reliably across different input types.
Create business apps and automate workflows in minutes. Supports PostgreSQL, MySQL, MariaDB, MSSQL, MongoDB, Rest API, Docker, K8s, and more 🚀 No code / Low code platform..
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Budibase is a no-code/low-code platform that allows users to rapidly build and deploy business applications and automate workflows. It supports a wide range of databases and deployment options, eliminating the need for extensive coding and accelerating development.
AI Summary: The task requires hiring additional Flutter and backend developers to support the project. This involves recruitment processes, interviews, and onboarding new team members.
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The Emergency-SOS-App is a mobile application designed to quickly connect users with emergency services in urgent situations. Key features include one-touch emergency alerts, location sharing with responders, and customizable contact lists for immediate notification.
AI Summary: Determine if displaying the participant list in Nextcloud Talk's TopBarMenu for one-on-one calls is intentional or an oversight. If it's an oversight, the code needs to be adjusted to only show the list for calls with more than one participant.
🗨️ Nextcloud Talk – chat, video & audio calls for Nextcloud
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Spreed is a real-time communication application integrated with Nextcloud, providing chat, video, and audio call functionalities. It solves the problem of needing a separate communication platform by seamlessly embedding these features directly within the Nextcloud environment, enhancing collaboration and communication for users.
AI Summary: Improve the frontend and backend of the ResumeRanker project. This involves enhancing the user interface and user experience of the web application and potentially optimizing the backend processing for better performance and scalability. Specific improvements are not detailed in the issue, requiring further investigation of the current codebase.
Free and Open-Source Resume to Job Match Scoring Tool
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ResumeRanker is a free and open-source tool that helps job seekers assess how well their resumes match specific job descriptions. It scores the alignment between resume content and job requirements, providing valuable feedback to improve resume effectiveness and increase chances of getting hired.
AI Summary: The task involves removing all references to the deprecated `EventList` attribute from the Matter SDK. This includes removing it from the `cluster_definition.zapt` file, updating `GlobalIds.h`, and searching for and removing other instances of `EventList` throughout the codebase, including tests. The goal is to clean up the codebase to reflect the specification's deprecation of this attribute.
Matter (formerly Project CHIP) creates more connections between more objects, simplifying development for manufacturers and increasing compatibility for consumers, guided by the Connectivity Standards Alliance.
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ConnectedHomeIP (Matter) solves the problem of fragmented smart home device ecosystems by establishing a unified communication standard. This simplifies development for manufacturers and ensures seamless interoperability between devices from different brands, improving the consumer experience.
AI Summary: Implement namespace filtering in the OpenTelemetry Collector's k8sobserver extension. This involves adding a configuration option to specify an array of namespaces to monitor, allowing users to selectively observe Kubernetes resources within those namespaces only. The task requires modifying the existing k8sobserver code to process this new configuration and filter the observed resources accordingly.
Contrib repository for the OpenTelemetry Collector
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The opentelemetry-collector-contrib project extends the OpenTelemetry Collector with community-contributed receivers, processors, and exporters. This solves the problem of expanding the Collector's functionality to support a wider range of monitoring and tracing needs beyond the core components. Key features include a vast library of integrations with various technologies and services.
AI Summary: Create a responsive "Transactions" page with a table displaying transaction details (type, address, date, token, amount, status), a search bar, date range picker, sorting/filtering icons, and pagination. The design should match a provided Figma design, using dummy data and a dark theme.
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The stellopay-frontend project is a user interface for a payment system, likely providing a streamlined and user-friendly experience for managing financial transactions. Without further information, specific features remain unknown, but it aims to solve the problem of complex or inconvenient online payment processes.
AI Summary: Implement a terminal-like interface at the bottom of the code editor within the web application to display the progress of npm install and other processes running in the Docker container. This will improve user experience by providing real-time feedback during the setup process.
AI agent for your every task.
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curious.AI is an AI agent designed to handle a wide variety of tasks, streamlining workflows and increasing efficiency. Its key feature is its adaptability to diverse user needs, acting as a versatile assistant for various projects and requests.
AI Summary: Add a unit testing module to the Robius CLI tool. This involves writing tests to ensure the functionality of the CLI's various commands and features.
A CLI tool for Robius.
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robu is a command-line interface (CLI) tool designed to simplify interactions with Robius. It streamlines common tasks and provides a more efficient way to manage and utilize Robius functionalities.
AI Summary: The issue describes a type mismatch error in APIFlask where a function returns a dictionary with a string value for 'answer', while the schema expects an integer. The task is to investigate and resolve this type mismatch, potentially by adjusting the return value of the function or the schema definition to ensure consistency.
A lightweight Python web API framework.
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Apiflask is a lightweight Python web API framework designed to simplify the creation of RESTful APIs. It leverages Flask's simplicity while providing features like automatic OpenAPI/Swagger documentation and data validation, streamlining the development process and improving API quality.
AI Summary: The issue highlights a documentation error in APIFlask's English documentation regarding API authentication using Flask-HTTPAuth. The documentation incorrectly states that the authentication callback should be registered with `@auth.verify_password`, when it should be registered with `@auth.verify_token`. The task involves correcting this documentation error, potentially including an updated code example.
A lightweight Python web API framework.
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Apiflask is a lightweight Python web API framework designed to simplify the creation of RESTful APIs. It leverages Flask's simplicity while providing features like automatic OpenAPI/Swagger documentation and data validation, streamlining the development process and improving API quality.
AI Summary: This project involves collaboratively building a landing page using Next.js and Git. Each participant is assigned a single component (e.g., navigation, hero section, footer) to develop, test, and submit via a pull request. The project emphasizes collaborative coding, Git workflows, and adhering to coding standards using tools like ESLint and Prettier.
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This project, stoke-on-trent-college, 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: Develop a Cairo smart contract to manage different game modes (practice, challenge, time attack) in LogiQuest, including mode-specific rules, rewards, achievements, transitions, and admin controls for creating and managing modes. Integration with existing reward and achievement contracts is required.
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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 REST API endpoint that retrieves a paginated list of a user's matches. The endpoint should only return public user profile data (name, bio, anthem, mood, topGenres) and match metadata (matchedAt, superLike). The response must be properly paginated using limit and offset query parameters, sorted by match date (descending), and secured to prevent private data leakage. This involves using MongoDB aggregation pipelines with $lookup to efficiently fetch and filter data.
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MixMatch-Backend 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: Implement pagination for blog posts on the DevConnect frontend. Two options are available: numbered pagination using a library like DaisyUI, or infinite scrolling with a loading indicator. The goal is to improve user experience by avoiding excessive scrolling.
DevConnect is an open-source MERN stack project aimed at creating a specialized network for developers. This platform will enable developers to connect, blog, share knowledge, and stay updated on hiring opportunities.
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DevConnect is an open-source platform built with the MERN stack that addresses the need for a dedicated developer network. It allows developers to connect with each other, share knowledge through blogging, and discover new job opportunities.
AI Summary: The task is to debug a Python code snippet using the Google Agent Development Kit (ADK) that throws a 'charmap' codec error when using a LiteLlm model within an LlmAgent. The error occurs during agent execution and involves handling responses from a custom weather tool. The solution requires understanding the ADK framework, character encoding issues in Python, and potentially adjusting the code to handle the specific error or the data causing the error.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
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adk-python is an open-source Python toolkit enabling developers to build, test, and deploy advanced AI agents. It prioritizes a code-first approach, offering flexibility and granular control over agent development, solving the challenge of creating complex and customizable AI agents.
AI Summary: Set up a Spring Boot application to create a basic API for ninja registration. This involves creating a new Spring Boot project, running a simple 'Hello World' program to verify the setup, and ensuring the project compiles and runs successfully.
uma api para cadastro de ninjas usando spring boot
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CadastroDeNinjas is a Spring Boot API designed for managing ninja registrations. It solves the problem of needing a centralized and efficient system for tracking ninja data. Key features include a robust API for creating, reading, updating, and deleting ninja records.
AI Summary: Add screenshots of the peg-in-hole (PiH) test beds to the project's README.md file. This involves locating the appropriate screenshots and integrating them into the existing README's markdown structure, likely within the 'Peg in hole' section.
This repository contains models for manipulation problems.
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The `scene_props` project provides 3D models for use in manipulation problem solving. These models facilitate research and development in robotics and AI by offering a standardized set of objects for testing and benchmarking algorithms.
AI Summary: Fix the responsiveness issues in the contact form on the mobile view of the University Resource Hub website. The form fields and content are misaligned on smaller screens, causing some elements to overflow the card boundaries. The solution requires adjusting the CSS to ensure the form adapts correctly to different screen sizes, maintaining proper alignment and preventing content overflow.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: Determine if Nextcloud Talk currently allows disabling system messages (user connection/disconnection notifications) in chats. If not, design and implement a feature to toggle these messages on/off, either globally for admins or on a per-user basis.
🗨️ Nextcloud Talk – chat, video & audio calls for Nextcloud
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Spreed is a real-time communication application integrated with Nextcloud, providing chat, video, and audio call functionalities. It solves the problem of needing a separate communication platform by seamlessly embedding these features directly within the Nextcloud environment, enhancing collaboration and communication for users.
AI Summary: Create a new Rust crate within the Privaxy project's workspace to hold shared data structures and types currently duplicated between the frontend and backend. This aims to improve code maintainability and reduce redundancy by establishing a single source of truth for these shared elements.
Privaxy is the next generation tracker and advertisement blocker. It blocks ads and trackers by MITMing HTTP(s) traffic.
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Privaxy is a next-generation ad and tracker blocker that enhances online privacy by intercepting and modifying HTTP(s) traffic. Its key feature is the ability to effectively block ads and trackers, preventing them from collecting user data and improving browsing speed.
AI Summary: Implement archival checks for all listed EVM production and testnet chains within the PATH framework. This involves adding code, tests, Makefile targets, and documentation updates. The task prioritizes EVM chains currently used in the Morse service, ensuring readiness for the Shannon transition.
All paths lead to Grove
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The 'path' project, while lacking detailed information, appears to be focused on navigation or routing, potentially leading to a destination called 'Grove'. Its key features remain undefined due to missing documentation.
AI Summary: The task is to debug the `litdata.optimize()` function. The function, when used with multiple workers, sometimes returns before all worker processes have completed writing data to the output directory. The goal is to understand why this happens and find a solution to ensure the function only returns after all data has been written, allowing for complete automation of the data optimization process.
Transform datasets at scale. Optimize datasets for fast AI model training.
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litData tackles the challenge of preparing massive datasets for efficient AI model training. It offers scalable data transformation capabilities, optimizing datasets for speed and performance to accelerate the model development process.
AI Summary: The task is to add a `max-width` CSS property to images within the learning paths section of the Layer5 website to prevent excessively large images from stretching beyond their containers. This will improve the visual layout and responsiveness of the learning path pages.
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 managing and monitoring multiple service meshes across various environments.
AI Summary: The task involves refactoring the Floresta Bitcoin node project to remove all instances of `unwrap`, `expect`, and `panic` calls from non-test code. This requires replacing these with proper error handling and propagation mechanisms, ensuring that errors are reported to the user rather than causing the program to crash. Additionally, CI checks should be implemented to prevent the reintroduction of these potentially problematic calls in the future.
A fully-validating Bitcoin node powered by Utreexo, with an integrated Electrum Server
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Floresta is a lightweight yet fully validating Bitcoin node leveraging Utreexo for efficient blockchain verification. It integrates an Electrum server, providing a streamlined solution for users seeking both security and ease of access to the Bitcoin network.
AI Summary: Update Falcon's `pyproject.toml` file to use the recommended SPDX license expression for the project license, addressing deprecation warnings from `setuptools` regarding the use of a TOML table for `project.license` and license classifiers. This involves migrating to the new `project.license-files` and potentially updating the license information to comply with SPDX standards.
The no-magic web API and microservices framework for Python developers, with an emphasis on reliability and performance at scale.
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Falcon is a Python web framework designed for building reliable and performant APIs and microservices. It prioritizes speed and simplicity, avoiding unnecessary abstractions and magic, giving developers fine-grained control over their applications. Key features include a minimalist design, excellent performance, and robust support for building scalable systems.
AI Summary: Rename two checkbox labels within the Integreat CMS region form. The labels "Integreat-Chat aktivieren/Activate author chat" and "Integreat Chat aktivieren/Enable Integreat Chat" should be changed to "Autor:innen-Chat aktivieren/Activate author chat" and "KI-Chat aktivieren/Enable AI chat", respectively. This is a simple text change requiring familiarity with the Integreat CMS codebase.
Simplified content management back end for the Integreat App - a multilingual information platform for newcomers
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Integreat-CMS simplifies content management for the Integreat app, a multilingual platform assisting newcomers. It streamlines the process of creating and updating multilingual content, improving efficiency for administrators and ensuring consistent information delivery.
AI Summary: The Gleam compiler (v1.10.0) fails to emit TypeScript declarations (.d.ts files) when the build directory already exists. The task is to debug and fix this issue in the Gleam compiler, ensuring that TypeScript declarations are correctly generated even when a previous build output is present, without requiring manual deletion of the build directory.
⭐️ A friendly language for building type-safe, scalable systems!
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Gleam is a type-safe programming language designed for building scalable systems. Its key features include a focus on developer friendliness and the ability to create robust, maintainable applications.
AI Summary: The task involves refactoring the Pedro Pathing library to use interfaces for the drivetrain, localizer, and feedback manager. This will improve modularity and allow for easier integration with different hardware and software components. The interfaces need to be defined and the existing code adapted to use them.
A Reactive Vector-Based Path Follower for FTC Implementations
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PedroPathing is a reactive path-following system designed for First Tech Challenge (FTC) robots. It uses a vector-based approach for precise and adaptable movement, solving the problem of inconsistent robot navigation on uneven or unpredictable terrains.
AI Summary: Improve the constants handling system in a reactive vector-based path follower library for FTC robots. The goal is to create a more flexible and robust system that allows for easy configuration of various settings, including drivetrain parameters and general constraints, while avoiding unnecessary localization constants. This involves refactoring the existing system to pass constants as an object to the follower, making them independent of the drivetrain, and adding mechanisms for general settings and drivetrain-specific constants.
A Reactive Vector-Based Path Follower for FTC Implementations
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PedroPathing is a reactive path-following system designed for First Tech Challenge (FTC) robots. It uses a vector-based approach for precise and adaptable movement, solving the problem of inconsistent robot navigation on uneven or unpredictable terrains.
AI Summary: Develop a Traffic Router API and associated components to dynamically rebalance HTTP routes based on external metrics, without relying on specific gateway classes. This involves creating a Service Histogram to classify services by performance, managing service lifecycles via HTTP, and integrating with existing Kubernetes infrastructure. The project requires expertise in Kubernetes, Gateway API, and potentially Prometheus and CEL.
SmartX Team Repository
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The smartx-k8s project addresses the challenge of managing and optimizing Kubernetes deployments. It likely provides features for automation, monitoring, and resource management within a Kubernetes environment, enhancing efficiency and scalability.
AI Summary: Create a reusable and responsive React component called `CourseCard` to display course information (title, description, instructor, price, progress, rating, duration) in grid and list layouts. The component should handle different screen sizes and include hover effects and animations while adhering to accessibility standards. This component will be used in multiple sections of the TeachLink platform.
Frontend: Teachlink is a platform for technocrat where knowlege, skills, ideas, and information that can bring about development and improvement can be shared, dissected, you can also earn from it.
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teachLink_web is a platform connecting technocrats to share knowledge, skills, and ideas for mutual development and improvement. It offers a space for collaborative learning and provides opportunities to earn income through knowledge sharing.
AI Summary: This task involves reviewing the initial commit of a project creating an AI-powered Network Operations Center (NOC) using AWS services and Amazon Bedrock. The review includes assessing the implemented features, architecture, AWS services used, performance metrics, security considerations, documentation, and planned next steps. It also requires evaluating the testing requirements and risk assessment.
The CloudOpsAI NOC Agent is an innovative solution designed to transform traditional Network Operations Center (NOC) monitoring from a human-centric "eyes on glass" approach to an intelligent, automated system.
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CloudOpsAI automates Network Operations Center (NOC) monitoring, replacing reactive human observation with proactive, intelligent automation. Key features include automated incident detection, diagnosis, and remediation, significantly reducing downtime and operational costs.
AI Summary: The task involves reviewing and responding to user feedback and bug reports for the Windows beta release (v0.4.0-windows_beta.1) of the Mouseless application. This includes participating in the designated discussion thread, addressing questions, and potentially creating new bug reports based on user input.
Bug tracking and more for Mouseless
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Mouseless is a bug tracking system designed to streamline issue management. It offers features for tracking bugs, managing tasks, and improving overall workflow, eliminating the need for a mouse in the process.
AI Summary: Add two new statistics to the dashboard's homepage: the total remaining amount from all donors and the total amount from monthly donors. This involves updating the existing dashboard in a Symfony 6.4 application using PHP, MySQL, and potentially TailwindCSS/daisyUI for styling.
Mreža solidarnosti je inicijativa IT Srbije za direktnu finansijsku podršku nastavnicima i vannastavnom osoblju čija je plata umanjena zbog obustave rada.
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solidaritySF is an initiative by IT Serbia providing direct financial support to teachers and non-teaching staff experiencing reduced salaries due to work stoppages. It addresses the immediate financial hardship faced by educators during periods of labor disruption.
AI Summary: Implement backend functionality for a dating app to handle user swipe actions (like, skip, super-like). This involves creating a REST endpoint to receive swipe data, storing swipes in a database, and implementing logic to detect and create matches when mutual likes occur. Concurrency handling using transactions or idempotent upserts is crucial to prevent duplicate matches.
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MixMatch-Backend 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: Implement a REST API endpoint (/api/deck) that returns a daily deck of 20 unique user profiles. The endpoint must exclude users the current user has already interacted with, filter profiles based on configurable similarity criteria (e.g., shared genres), and meet a performance target of under 200ms response time under load. This involves using MongoDB aggregation pipelines, adding database indexes, and implementing caching.
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MixMatch-Backend 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: Implement secure storage for sensitive data (like private keys) within the Kernreaktor project, potentially utilizing a Trusted Platform Module (TPM) or exploring alternative secure storage solutions. The current method of storing keys as plaintext is insecure and needs improvement.
Kernreaktor — A fast, load-driven orchestration system for Proxmox containers. Secure, scalable, and optimised for intelligent resource management.
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Kernreaktor is a high-speed orchestration system designed to efficiently manage Proxmox containers. It addresses the need for secure and scalable container management by optimizing resource allocation and leveraging a load-driven approach. Key features include intelligent resource management and enhanced security.
AI Summary: Develop RESTful API endpoints for creating, reading, updating, and deleting user profiles. This includes handling profile information (mood, bio, preferences), linking a Spotify anthem, and uploading a short voice clip using multipart/form-data. The endpoints should handle authentication and utilize a cloud storage service (like Cloudinary or S3) for voice clip storage.
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MixMatch-Backend 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: The task is to fix Ruff's linting rules (specifically, those related to `pathlib`) to prevent incorrect suggestions when dealing with file descriptors or byte strings. The rules should only suggest using `pathlib.Path` when appropriate, avoiding false positives.
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 webhook listener in a Node.js (NestJS) backend to receive payment confirmations from the Stellar blockchain's Horizon API. This involves subscribing to the event stream, handling authentication (if proxied), preventing duplicate confirmations using transaction hashes, updating the database, and thorough testing.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
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The Unit_Automation_Issues project addresses the lack of information regarding its purpose and functionality. Without a description or README, its problem-solving capabilities and key features remain undefined and require further investigation.
AI Summary: The provided project and issue information is insufficient to determine the required task. The project description and README are missing, and the issue description ('rDU0jwKBiGpCtbmENhxLbgLr5KqlRauQrq1Ro9Rpb') appears to be an encrypted or randomly generated 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.
AI Summary: The provided text gives a project description and a project README (both empty), and an issue with ID 2020859664 and a cryptic description 'WoKN4oZYqn0D6iE41MuN2yI6Z'. The task is to understand what needs to be done based on this limited information. This likely involves investigating the issue ID within the project context to determine the required 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.
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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 an option to disable colored output in the logs of the Static Web Server. This should be configurable via command-line arguments, configuration files, and the standard `NO_COLOR` environment variable.
A cross-platform, high-performance and asynchronous web server for static files-serving. ⚡
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The static-web-server project is a high-performance, cross-platform web server written in Rust for serving static files. Key features include asynchronous operation, support for various compression algorithms, and a small memory footprint, making it suitable for production environments.
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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 mobile-first, responsive sign-in page for the LEX IMPACT platform, adhering to a provided Figma design and using the existing Supabase integration. The page should be pixel-perfect, reusable, and integrate seamlessly with existing components (or create new ones if necessary). Thorough testing is required.
Lex-Impact is an open-source initiative empowering Africans through AI education, authentic African datasets, and computing resources. We aim to enable innovators to build tech-driven solutions that solve real African challenges and drive meaningful growth across the continent.
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Lex-Impact is an open-source project addressing the lack of accessible AI education and resources in Africa. It provides African datasets and computing power to empower innovators to build AI solutions for local challenges, fostering technological growth across the continent.
AI Summary: The provided text gives a project description and a project README (both empty) and an issue with ID 1437453199 and a description '4HoYv1zMOsj7qBqw6Il'. The task requires understanding the issue (likely a bug report or feature request) based on its ID and cryptic description. Further investigation into the project's codebase and documentation is needed to resolve 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.
AI Summary: Develop a new agent for the Ava platform to interact with the Rhea Finance protocol on the Near blockchain. This involves creating an agent that can connect to Rhea Finance's APIs, execute transactions, and integrate seamlessly with the existing Ava multi-agent system using the A2A protocol for communication and the MCP protocol for resource access. The agent should handle tasks such as monitoring positions, executing trades, and providing relevant data to other agents within the Ava ecosystem.
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The project, ava-the-ai-agent, lacks a description and README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: The task involves improving error handling in a NestJS microservice within a larger decentralized identity platform. Currently, the `findFirstOrThrow` Prisma query is causing issues; the solution is to temporarily replace it with `findFirst` and add explicit error handling for the case where no record is found. This is a temporary fix until the global exception handler is improved.
Open source, Open standards based Decentralised Identity & Verifiable Credentials Platform
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The 'platform' project is an open-source, decentralized identity and verifiable credentials platform built on open standards. It solves the problem of managing digital identities securely and privately by providing a system for issuing and verifying credentials without relying on centralized authorities.
AI Summary: Develop a mobile-first, responsive sign-up page for the LEX IMPACT platform, adhering to a provided Figma design and ensuring compatibility with the existing Supabase integration. The page should be built using React components, maintaining existing project structure and utilizing reusable components where possible. Thorough testing and adherence to linting standards are required.
Lex-Impact is an open-source initiative empowering Africans through AI education, authentic African datasets, and computing resources. We aim to enable innovators to build tech-driven solutions that solve real African challenges and drive meaningful growth across the continent.
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Lex-Impact is an open-source project addressing the lack of accessible AI education and resources in Africa. It provides African datasets and computing power to empower innovators to build AI solutions for local challenges, fostering technological growth across the continent.
AI Summary: The task is to debug a GitLab integration issue within the OWASP Threat Dragon application (version 2.4.1). The user can authenticate with GitLab, but cannot save new threat models, receiving a 'Forbidden' error. The solution requires analyzing the provided logs, understanding the GitLab API interaction within Threat Dragon, and potentially adjusting GitLab permissions or Threat Dragon configuration to grant the application the necessary write access to the specified repository and branch.
An open source threat modeling tool from OWASP
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Threat Dragon is an open-source threat modeling tool from OWASP that simplifies the process of identifying and mitigating security risks in software projects. It provides a user-friendly interface for creating threat models, visualizing dependencies, and collaborating with teams, ultimately improving application security.
AI Summary: The task is to fix a `SyntaxWarning` in the `find_missing_i18n_strings.py` script used for AlmaLinux.org website localization. The script currently throws a warning due to an invalid escape sequence, which doesn't affect functionality but should be resolved for cleaner execution. The fix involves correcting the regular expression used to find translatable strings within the website's Hugo templates.
almalinux.org official web site sources.
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AlmaLinux.org provides the official website and resources for AlmaLinux, a free, open-source, and community-supported enterprise-grade Linux distribution. It solves the need for a stable and reliable RHEL-compatible OS, offering long-term support and a familiar environment for users migrating from Red Hat Enterprise Linux.
AI Summary: The task involves analyzing a large-scale project focused on fine-tuning numerous LLMs and MLLMs using the SWIFT framework. The analysis should focus on understanding the project's scope, capabilities (including supported models, training methods, and hardware), and the specific requirements for fine-tuning Qwen3/Qwen3-MoE models as detailed in a provided issue. The output should be a concise summary of the project and its requirements, along with a fun meter and complexity rating.
Use PEFT or Full-parameter to finetune 500+ LLMs (Qwen2.5, InternLM3, GLM4, Mistral, Yi1.5, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Llama4, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).
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ms-swift is a project that addresses the challenge of fine-tuning a vast number of large language models (LLMs) and multi-modal LLMs (MLLMs). It supports fine-tuning over 500 LLMs and 200+ MLLMs using both PEFT and full-parameter methods, offering flexibility and scalability for various downstream tasks.
AI Summary: Create a smoke test using requests from `vocabulary_aws.http` to verify the functionality of the `daily-dragon` application after deployment to AWS. This involves writing a test script that makes requests to the deployed application and checks for expected responses.
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The project 'daily-dragon' 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 a memory leak in the OOAnalyzer tool within the Pharos static binary analysis framework. The tool runs out of memory when processing large (14MB+) executables, generating excessively large intermediate files. The goal is to identify the root cause of the memory consumption and find a solution, potentially involving optimization strategies or algorithmic improvements within the Prolog-based analysis.
Automated static analysis tools for binary programs
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Pharos is a project that provides automated static analysis tools for binary programs, addressing the challenge of identifying vulnerabilities and security flaws without needing source code. Its key features include automated analysis and reporting, enabling developers to improve the security and reliability of their software.
AI Summary: The task is to fix a bug in the WebdriverIO framework where an error message ('Could not connect to Bidi protocol...') is incorrectly displayed even when a successful BiDi connection is established. The solution involves modifying the `ConnectionTimeoutPromise` to either clear the timeout after the race or conditionally log the error only if the race results in an undefined value, ensuring the error message is only shown for actual connection failures.
Next-gen browser and mobile automation test framework for Node.js
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WebdriverIO is a Node.js-based test automation framework for end-to-end, unit, and component testing in browsers and mobile applications. Key features include support for WebDriver, WebDriver BiDi, and Appium, along with integrations for popular testing frameworks and cloud services like Sauce Labs and BrowserStack.
AI Summary: Debug a JavaScript issue in Mautic version 7.0.0 pre-release where campaign email statistics fail to load. The issue is reproducible by creating a campaign and attempting to view its email statistics. The goal is to identify and fix the JavaScript error preventing the data request from executing, ensuring email statistics functionality works as expected in the 7.x branch, maintaining compatibility with the feature introduced in version 6.0.
Mautic: Open Source Marketing Automation Software.
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Mautic is open-source marketing automation software that solves the problem of managing marketing campaigns and customer interactions. Its key features include email marketing, lead nurturing, segmentation, and reporting, all designed to improve marketing efficiency and ROI.
AI Summary: Debug and fix a bug in an OpenGL terminal emulator where the cursor color is incorrectly rendered as black when using a light background theme. The issue is specific to the 'smooth-cursor' patch, which introduces cursor animations. The solution likely involves adjusting the blending mode or color calculation within the cursor rendering code to correctly handle light background colors.
A cross-platform, OpenGL terminal emulator. Fork with a basic cursor movement animation
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Alacritty-smooth-cursor enhances the Alacritty terminal emulator by adding smooth cursor animation, addressing the jarring, abrupt cursor movements in the original. This fork improves the user experience by providing a more visually appealing and fluid interaction.
AI Summary: Develop a mobile-first, responsive project dashboard for the LEX IMPACT platform, ensuring pixel-perfect adherence to a Figma design and utilizing the existing Supabase integration. The dashboard should be built using Next.js, React.js, and Tailwind CSS, maintaining existing project structure and promoting reusable components. Thorough testing is required to ensure functionality and prevent code breakage.
Lex-Impact is an open-source initiative empowering Africans through AI education, authentic African datasets, and computing resources. We aim to enable innovators to build tech-driven solutions that solve real African challenges and drive meaningful growth across the continent.
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Lex-Impact is an open-source project addressing the lack of accessible AI education and resources in Africa. It provides African datasets and computing power to empower innovators to build AI solutions for local challenges, fostering technological growth across the continent.
AI Summary: The issue describes a problem with the SQL query used in Logfire's observability dashboard. The `approx_percentile_cont` aggregate function requires a `WITHIN GROUP (ORDER BY ...)` clause, but adding this clause results in a type coercion error. The task is to debug and fix this SQL query to correctly calculate percentiles without throwing errors, ensuring compatibility with Logfire's underlying database system.
Uncomplicated Observability for Python and beyond! 🪵🔥
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Logfire provides simple and effective observability for Python applications and other systems. It addresses the challenge of easily monitoring and understanding application behavior, offering key features for streamlined logging and debugging.
AI Summary: Debug and fix a bug in the Bazel Python rules that causes empty coverage reports for Python versions 3.10.15 and 3.10.16. This involves analyzing the provided minimal reproduction steps, investigating potential causes related to the coverage toolchain or Python version specifics, and implementing a fix to ensure accurate coverage reports are generated for all supported Python versions.
Bazel Python Rules
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The `rules_python` project provides Bazel rules for building and testing Python code. It solves the problem of efficiently building and managing Python projects within a Bazel build system, offering features like dependency management and hermetic builds.
AI Summary: Refactor the Quantum PHP Framework's dependency injection (DI) container to support abstract-to-concrete class bindings. This involves modifying the `register()` and `resolveParameter()` methods to handle both concrete class registrations and mappings from abstract classes/interfaces to their concrete implementations, updating the dependency resolution mechanism accordingly, and adding tests to ensure functionality.
Quantum PHP Framework
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The quantum-php-core project aims to provide a PHP framework for quantum computing, addressing the lack of readily available tools for developing quantum algorithms in PHP. Key features are likely to include abstractions for quantum gates, qubit manipulation, and potentially integration with quantum simulators or cloud-based quantum computing services.
AI Summary: Update the Neapolitan project's continuous integration (CI) pipeline to drop support for Python versions below 3.12. This is necessary because Django 6.0, a dependency, requires Python 3.12 or higher. The change involves modifying the CI configuration files to exclude older Python versions from the testing matrix.
Quick CRUD views for Django
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Neapolitan is a Django project that streamlines the creation of Create, Read, Update, and Delete (CRUD) views. It simplifies the development process by providing quick and easy-to-implement views, reducing boilerplate code and accelerating development time.
AI Summary: Debug and fix a display issue in the Left Hand Navigation (LHN) of the Expensify app. The LHN incorrectly displays "This chat is with..." when an expense report shows "moved this expense to IOU." The bug is reproducible in staging and on multiple platforms (Android HybridApp, iOS HybridApp, mWeb, MacOS). The fix requires understanding the app's architecture (Onyx, Actions, UI), debugging skills, and familiarity with React Native and potentially native code if the issue spans beyond the JavaScript layer.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a `SubdomainTrieMatcher` in Rust for the `rama` project, using the `trie-rs` crate. This involves creating a matcher from a list of domains, reversing them for trie insertion (with unit tests), and integrating it into the existing `HttpMatcherKind` and `HttpMatcher` structures.
modular service framework to move and transform network packets
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Rama is a modular service framework designed to efficiently move and transform network packets. It solves the problem of complex network processing by providing a flexible, component-based architecture for building custom packet manipulation pipelines.
AI Summary: Debug and fix the logging configuration in the daily-dragon application to ensure log entries are correctly captured by AWS CloudWatch when deployed as an AWS Lambda function. The local logging works, so the issue is likely related to the AWS Lambda environment configuration or the logging library used.
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The project 'daily-dragon' 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 support for APK Signature Scheme v4 in the `pack` library. This involves adding the necessary code to handle the v4 signing process, ensuring compatibility with the existing signing infrastructure. While not currently required for Google Play publishing, it would enhance the tool's completeness and potentially enable future features related to key rotation.
🤖→📦 | Pack Android Resources into APKs/AABs from WebAssembly without Studio or the SDK
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Pack is a command-line tool that compiles Android resources into APKs or AABs using WebAssembly, eliminating the need for Android Studio or the SDK. It streamlines the build process by offering a fast and efficient alternative for resource packaging, improving developer workflow.
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SnakeGame is a classic arcade game recreation. It solves the problem of needing a simple, fun, and readily available game by providing a playable implementation of the popular Snake game. Key features include intuitive controls and a progressively challenging gameplay experience.
AI Summary: Modify the pgmpy library to prevent redundant INFO messages about detected data types during estimation. The current implementation calls a data preprocessing function multiple times, resulting in repeated INFO messages. The solution involves refactoring the code to ensure this function is called only once, regardless of the estimator used.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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pgmpy is a Python library addressing the need for efficient Bayesian Network analysis. It provides tools for learning network structure and parameters, performing probabilistic and causal inference, and running simulations, simplifying complex probabilistic reasoning tasks.
AI Summary: Create a Hero Section component for a React-based FashionHive onboarding web app using Tailwind CSS and Figma design specifications. The component should include a headline, subtext, CTA buttons, and a hero image, and be responsive and accessible.
React-based web app for FashionHive onboarding.
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fashionhive-web is a React application designed to streamline the FashionHive onboarding process. It provides a user-friendly interface for new users, simplifying the initial setup and account creation. Key features include intuitive navigation and a streamlined workflow to accelerate onboarding.
AI Summary: Implement command-line switches for the `pack` tool to allow users to inject build-time attributes like `android:versionCode` and `android:versionName` into the AndroidManifest.xml, similar to `aapt2`'s functionality. This should also include support for renaming the manifest package via a command-line switch.
🤖→📦 | Pack Android Resources into APKs/AABs from WebAssembly without Studio or the SDK
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Pack is a command-line tool that compiles Android resources into APKs or AABs using WebAssembly, eliminating the need for Android Studio or the SDK. It streamlines the build process by offering a fast and efficient alternative for resource packaging, improving developer workflow.
AI Summary: Improve the error handling in the `pack` project by providing more descriptive error messages for various failure scenarios, such as invalid AndroidManifest.xml files and unsupported key types. This involves parsing existing error types (`pack_common::PackError`) to generate more informative strings, potentially adding new error types for better granularity, and making these improvements accessible through the CLI and API for use in different environments (WASM, etc.).
🤖→📦 | Pack Android Resources into APKs/AABs from WebAssembly without Studio or the SDK
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Pack is a command-line tool that compiles Android resources into APKs or AABs using WebAssembly, eliminating the need for Android Studio or the SDK. It streamlines the build process by offering a fast and efficient alternative for resource packaging, improving developer workflow.
AI Summary: Implement a warning mechanism in the `pack` tool to alert users when critical attributes (like `android:versionCode`) are missing from the AndroidManifest.xml, preventing the generated APK from being installable. This involves identifying the critical attributes, checking for their presence during processing, and printing informative warnings to the console, guiding users to either modify their manifest or use CLI switches (post #36).
🤖→📦 | Pack Android Resources into APKs/AABs from WebAssembly without Studio or the SDK
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Pack is a command-line tool that compiles Android resources into APKs or AABs using WebAssembly, eliminating the need for Android Studio or the SDK. It streamlines the build process by offering a fast and efficient alternative for resource packaging, improving developer workflow.
AI Summary: The task involves reviewing freeCodeCamp's curriculum for instances where two backticks are used consecutively, indicating consecutive code elements that Crowdin's translation system dislikes. The goal is to reword sentences containing these instances to improve translatability, limiting changes to 10-15 per pull request. A list of projects/challenges is provided to track progress.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
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freeCodeCamp is an open-source project offering a free, comprehensive curriculum to learn web development. It addresses the problem of high cost and inaccessibility in coding education by providing a self-paced, project-based learning experience with community support.
AI Summary: The task is to enhance the wolfSSL Arduino library to efficiently handle constant data storage in flash memory, specifically addressing limitations on AVR-based Arduino boards. This involves investigating the current `FLASH_QUALIFIER` mechanism, evaluating the feasibility of using `PROGMEM` and `pgm_read_word_near()`, and potentially developing alternative solutions to ensure compatibility and performance across different Arduino platforms.
This repository is a restructured copy of https://github.com/wolfSSL/wolfssl/ for the Arduino environment. Any Pull Requests for code changes should be opened there.
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Arduino-wolfSSL adapts the wolfSSL cryptographic library for Arduino platforms, enabling secure communication in resource-constrained environments. It simplifies the integration of robust SSL/TLS functionality into Arduino projects, addressing the need for secure data transmission.
AI Summary: Migrate the LLM-powered summary endpoint of a serverless RSS feed from Hugging Face Inference to a more reliable enterprise-grade inference provider (Google Vertex AI, Anthropic Claude API, or OpenAI API). This involves evaluating providers based on cost, latency, availability SLAs, and inference quality, then implementing the migration and potentially a fallback strategy.
A serverless RSS feed for HuggingFace's Daily Papers
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papers-api provides a serverless RSS feed aggregating HuggingFace's Daily Papers, solving the problem of easily accessing and subscribing to their daily research updates. Key features include a simple, readily consumable RSS feed format and serverless architecture for scalability and reliability.
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The educa-senai 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: Integrate Link Mobility's new SMS API into the Koha ILS system in Siilinjärvi. This involves receiving an API key from Link Mobility once the contract is finalized and then implementing the API within the Koha system. Koha does not accept pull requests, so patches must be submitted through their bug tracker.
(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: Verify Meshery's OCI image export/import functionality with Harbor container registry. This involves setting up Harbor, pushing/pulling Meshery Designs and Models as OCI images, documenting the process and any compatibility issues, and updating Meshery's documentation.
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 experiment management to improve observability and optimize application performance.
AI Summary: The task involves summarizing a large GitHub project README and an associated issue, focusing on the project's goals (training a small GPT model from scratch), key features (code, datasets, training steps), and a recent update adding support for popular third-party inference frameworks (llama.cpp, vLLM, ollama). The summary should also include a fun meter and complexity rating.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
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Minimind is a project that allows users to train a 26M parameter GPT language model from scratch in only two hours. This addresses the challenge of lengthy training times for smaller language models, making experimentation and development more accessible.
AI Summary: Debug and fix a console error in the New Expensify onboarding flow that occurs when opening an onboarding task on macOS using Chrome/Safari. The error indicates that `useOnyx` returned no data for a key despite `canBeMissing` being set to `false`. The issue is reproducible in the staging environment but not in production and is specific to the HybridApp on macOS.
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 new configuration option (`useFallback=true`) in the nf-co2footprint Nextflow plugin. If this option is enabled, the plugin should halt execution if it cannot find a matching CPU model or location in its internal database, instead of using default values which may lead to inaccurate results. This requires modifying the CPU information matching logic to incorporate the new configuration parameter and trigger an error if a match is not found.
[WIP] A Nextflow plugin to estimate the CO2 footprint of pipeline runs.
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nf-co2footprint is a Nextflow plugin designed to calculate the carbon footprint of bioinformatics pipeline executions. It addresses the growing need for sustainable computing in research by providing a simple way to quantify the environmental impact of workflows, enabling researchers to make more informed decisions about resource usage.
AI Summary: Debug and fix the broken navigation in the FitTrack application. The application runs successfully, but clicking navigation buttons produces no effect. This likely involves inspecting the routing configuration in the Flask application (likely `app.py`) and ensuring that URLs are correctly mapped to their corresponding view functions. Testing will be required to verify the fix.
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The project, 'agile-web-project', 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: Investigate migrating the existing file storage system (currently using PostgreSQL, likely within the FastAPI server) to a cloud-based storage solution. This involves researching suitable cloud storage options (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage), designing the migration process, and potentially implementing a prototype to assess feasibility before a full-scale migration.
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The distributed-cloud-storage-project addresses the need for scalable and reliable data storage by distributing data across multiple cloud providers. Key features likely include data redundancy, fault tolerance, and potentially advanced features like data encryption and versioning.
AI Summary: The task is to debug a bug reported by a user where the ImprovedTube extension's buttons are not showing on the Android version of Firefox. This requires investigating why the button settings are not working despite other features functioning correctly. Debugging will involve analyzing the extension's code, potentially examining browser console logs, and testing with different Firefox versions or devices to isolate the problem. The user did not provide sufficient information (browser console logs, settings, etc.) to aid in debugging.
[top~1 open YouTube & Video browser-extension] - Enrich your experience & choice! 🧰180+ options & clever features 📌set+forget📌Longest-standing(been tough). Please 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 extension enhances the user experience by providing over 180 customizable options to control playback, content discovery, and ad removal. It solves the problem of limited control over the YouTube platform, offering features like improved video quality settings, distraction reduction, and enhanced player controls.
AI Summary: The task is to fix a bug in the `useHotkeys` hook within the Mantine React component library. The bug prevents the 'space' key from functioning as a hotkey unless the `usePhysicalKeys` option is enabled. The solution involves modifying the `parse-hotkey` function to correctly handle the 'space' key, regardless of `usePhysicalKeys` setting. A pull request with tests is desired.
A fully featured React components library
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Mantine is a fully featured React components library that solves the problem of needing a comprehensive and customizable UI toolkit for building React applications. Its key features include a wide range of pre-built components, theming capabilities, and accessibility considerations, streamlining the development process.
AI Summary: The task involves refactoring the `crates/router/src/connector/utils.rs` file in the Hyperswitch open-source payments orchestration project. This requires analyzing the existing functions within the file and removing any that are unused, such as the `validate_currency` function. The goal is to improve code cleanliness and efficiency.
An open source payments switch written in Rust to make payments fast, reliable and affordable
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Hyperswitch is an open-source payments switch built in Rust, addressing the need for fast, reliable, and affordable payment processing. Its key features include open-source accessibility and a focus on performance and cost-effectiveness.
AI Summary: Debug a bug in the JeecgBoot low-code platform where online-generated menu SQL queries are missing component names, causing cached routes to fail. The solution requires investigating the code generation process for menu SQL and ensuring component names are correctly included. This likely involves examining the database schema, the code generator's logic, and potentially the caching mechanism.
🔥「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x,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! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE,帮助Java项目解决80%重复工作,让开发更关注业务,提高开发效率、节省成本,同时又不失灵活性
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JeecgBoot is an AI-powered low-code platform that solves the problem of repetitive coding in Java projects. Its key features include a powerful code generator for both front-end and back-end, enabling one-click code generation and significantly improving development efficiency by automating 80% of repetitive tasks.
AI Summary: Update the welcome text displayed in a popup after user registration. This involves locating the relevant code within the Flask application (likely in a template file or JavaScript), modifying the text to reflect current information, and testing the change to ensure it displays correctly.
Podmanager
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Podmanager, a project for The-authority-show-, addresses the need for efficient podcast management. Key features likely include organization, scheduling, and potentially automation of podcast production and distribution tasks.
AI Summary: The task is to resolve an inconsistency in the calculation of the `internal_id` for Tendermint transactions within the Komodo DeFi Framework. The `internal_id` is calculated differently when withdrawing funds versus querying transaction history, requiring a code adjustment to ensure consistent calculation across both functionalities.
This is the official Komodo DeFi Framework repository
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The Komodo DeFi Framework provides a robust and flexible foundation for building decentralized finance (DeFi) applications on the Komodo platform. It simplifies development by offering pre-built modules and tools, accelerating the creation of secure and scalable DeFi solutions. Key features include modular design, enhanced security, and streamlined integration with Komodo's unique features.
AI Summary: Remove outdated workarounds in the Test Management Tool (tmt) specifically targeting RHEL-8 limitations. This involves searching the codebase for references to "rhel-8", "epel-8", and "el8", identifying and removing or simplifying code sections that are no longer necessary due to the removal of RHEL-8 support (while maintaining support for el8 guests).
Test Management Tool
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tmt is a Test Management Tool designed to streamline the testing process. It addresses the challenges of organizing, tracking, and reporting on tests, providing key features for efficient test case management and execution.
AI Summary: Debug the `tidy-browser` application to understand why it's failing to retrieve the `value` of a Chrome cookie (ChromiumCookie) in Chrome version 135.0.7049.115. The issue appears to be related to the `decrypted_value` field being empty, despite the cookie seemingly existing and having an expiration date. The investigation should focus on the `decrypt-cookies` crate and potentially involve examining Chrome's cookie storage mechanisms and the decryption process within the application.
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The project, tidy-browser, lacks a description and README, making it impossible to summarize its problem-solving capabilities and key features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to modify GeoIO.jl to handle empty geometries in shapefiles gracefully, instead of throwing an error. This involves investigating the interaction between GeoIO.jl and GeoInterface.jl, potentially modifying how GeoIO.jl handles `GeoInterface.geomtrait()` returning `nothing`, and implementing a solution that either correctly represents empty geometries or provides informative warnings.
Load/save geospatial data compatible with the GeoStats.jl framework
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GeoIO.jl simplifies loading and saving geospatial data for use within the GeoStats.jl framework. It addresses the challenge of data interoperability, providing a consistent interface for various geospatial file formats. Key features include streamlined data import/export and compatibility with GeoStats.jl's data structures.
AI Summary: Implement a fully functional contact form for a React website, integrating a backend (e.g., Node.js + Express) to handle form submissions via POST requests. This includes adding frontend and backend validation, user feedback messages (success/error), and potentially using a service like EmailJS for email delivery. A loading spinner should be implemented during submission.
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The NST_SDC_Website project 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: Write unit tests for the Manager component of a Golang asynchronous task manager, covering initialization, option application, task registration, execution, error handling, retries, and graceful shutdown. The manager handles worker creation and coordination.
A Golang async task manager inspired by Celery.
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taskqueue is a Golang library providing an asynchronous task manager, similar to Celery. It solves the problem of managing and processing background tasks efficiently, offering features like task queuing, worker management, and result tracking.
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dflow 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: Debug the `u7.bat` script on Windows to identify why it prematurely exits when attempting to execute build or run commands. The script should correctly call the appropriate sub-scripts located in the `scripts/` directory for tasks such as building, running, and cleaning the Ultima VII: Revisited engine.
[unoften] Fork of a replacement engine for Ultima VII The Black Gate (and eventually Serpent Isle) that presents a new camera angle and other improvements.
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U7Revisited is a community-driven engine replacement for Ultima VII: The Black Gate and Serpent Isle, addressing limitations of the original engine. Key features include an improved camera perspective and other enhancements to gameplay and visuals, providing a modernized experience for players.
AI Summary: Develop a Starknet-integrated reward system that distributes STRK tokens to players upon puzzle completion. The reward amount should dynamically adjust based on puzzle difficulty, completion time, and performance, while incorporating security measures to prevent exploitation.
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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: Enhance the `eurostat` R package to allow users to download data directly from provided Eurostat API links (e.g., .tsv links from the databrowser). This involves creating a new function that accepts an API URL as input, retrieves the data, and returns it in a usable R format.
R tools for Eurostat data
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The `eurostat` R package simplifies access and manipulation of Eurostat data. It streamlines the process of downloading, cleaning, and analyzing this often complex statistical information, saving users significant time and effort. Key features include direct data retrieval and convenient data wrangling functions.
AI Summary: Debug an issue in the Omics Playground platform where using lipidomics data with the Fisher's exact test in the pgx.computePGX function results in NaN (Not a Number) values. The task involves analyzing provided code, understanding the data processing pipeline within the platform (including data loading, preprocessing, and statistical analysis), and identifying the source of the NaN values. This likely requires familiarity with R, statistical methods, and potentially the internal workings of the Omics Playground.
Visual self-service analytics platform for big omics data.
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omicsplayground is a visual analytics platform designed to simplify the analysis of large omics datasets. It empowers users to perform self-service data exploration and analysis without requiring extensive programming skills, making complex biological data more accessible.
AI Summary: Add a missing filter icon to the header of the Wallet page in the Greenstand Treetracker Wallet app. This involves referencing the provided Figma design file for visual guidance and implementing the icon within the appropriate React Native (or Next.js, depending on the page's location) component. The project uses a monorepo structure, so navigating the correct directory is important.
The Greenstand Wallet App
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The treetracker-wallet-app, also known as the Greenstand Wallet App, addresses the need for a convenient and secure way to manage and track carbon credits. Key features likely include secure storage, easy transaction management, and potentially integration with carbon offsetting platforms.
AI Summary: Develop a Cairo smart contract to manage user profiles, track puzzle game progression, and unlock content based on achievements and token spending. The contract should include player profile storage, level tracking, unlocking mechanics, and statistics tracking, with functions for querying player data.
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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 involves training a neural network (EgoPath) for autonomous driving corridor perception. This requires setting various parameters within a Python script, running the training script using command-line arguments, and then visualizing the results using TensorBoard. The goal is to achieve the best validation score by experimenting with different parameter settings and reporting the results.
An open-source autonomous highway pilot system for privately owned vehicles
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autoware.privately-owned-vehicles is an open-source project aiming to bring autonomous highway driving capabilities to privately owned vehicles. It addresses the challenge of making self-driving technology accessible and affordable by providing a readily available and customizable system.
AI Summary: Identify and remove redundant calls to the `OpenPolicyFeatureX` API command on workspace feature pages (Members, Report Fields, and potentially others) that occur after closing the RHP modal. This involves debugging to pinpoint the unnecessary calls and modifying the code to eliminate them.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Add a new section titled "Examples" to the Sangee project's README. This section should contain at least one example demonstrating holographic projection, including a code snippet (even a placeholder) and comments explaining the code's functionality and output. The example should be clear and easy for users to understand.
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Insufficient project information is provided to create a meaningful summary. The project name 'Sangee-' and lack of description or README prevent a clear understanding of its purpose, problem solved, or key features.
AI Summary: Implement a time-sensitive filter for the Elo graph in a Spring Boot/Vaadin foosball Elo rating web application. This requires modifying the Elo calculation logic to consider only games within a user-specified time range (days, weeks, months). Database queries will need to be adjusted to support this filtering, and the Vaadin frontend updated to include the necessary date selection controls.
Webanwendung zur Pflege des Tischkicker-ELO-Systems
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KickerELO is a web application designed to manage and track Elo ratings for table football (foosball) players. It simplifies the process of updating rankings after matches, providing a convenient and centralized system for maintaining player statistics.
AI Summary: The task involves refactoring the Android codebase of the open-source handheld ham radio project KV4P-HT. Specifically, it requires replacing all instances of `ThreadPoolExecutor` for executing asynchronous code with simpler `Thread` objects to improve reliability and address null pointer exceptions.
Open source handheld ham radio project KV4P-HT
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kv4p-ht is an open-source handheld ham radio project aiming to provide an affordable and customizable alternative to commercially available radios. Key features include open hardware and software designs, allowing for community-driven development and modifications. This project addresses the high cost and limited customization options often found in existing handheld ham radios.
AI Summary: Design a user interface (UI) screen for an Android Wear OS mood tracker app. The screen should allow users to select their current mood by tapping one of five buttons, each representing a different mood (Happy, Sad, Angry, Calm, Excited) and ideally using emojis for visual clarity.
Exercise: Introduction to GitHub
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The united-we-code project is a introductory exercise focused on familiarizing users with the fundamentals of GitHub. It provides hands-on experience with version control and collaborative coding practices, solving the problem of lacking basic GitHub knowledge.
AI Summary: The task requires unifying the data types used across all backends (NumPy, Qulacs, numba, cupy, cuquantum, TensorFlow, Torch, JAX) within the Qibo quantum computing framework to improve compatibility and reduce inconsistencies.
A full-stack framework for quantum computing.
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Qibo is a full-stack framework addressing the need for a comprehensive and user-friendly environment for quantum computing. It simplifies the development process by providing tools for both classical and quantum computation, enabling researchers and developers to build and simulate quantum algorithms efficiently.
AI Summary: The issue describes a failure to generate code using `bobgen-psql@latest` due to undefined pg.Parse and pg.Scan functions within the bobgen-psql package. The task is to debug this issue, likely involving investigating version compatibility between the `bob` package, the PostgreSQL driver, and the Go version used. This might involve updating dependencies, checking for conflicting packages, or identifying a bug in the `bobgen-psql` code.
SQL query builder and ORM/Factory generator for Go with support for PostgreSQL, MySQL and SQLite
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Bob is a Go toolkit for simplifying SQL database interaction, offering a query builder, SQL executor, and model generation. It supports PostgreSQL, MySQL, and SQLite, prioritizing correctness and convenience without sacrificing control or introducing unnecessary abstraction.
AI Summary: Implement an equation editor for a question bank creator application, allowing users to create mathematical equations with dynamic variables similar to the existing question generation functionality. The editor should have a user interface resembling jmathedit, but integrated with the application's variable system. Native Rust implementation is preferred, but alternative solutions are acceptable if necessary due to complexity.
This program is targeted at teachers & homeschool parents and is especially useful for teaching math and science, although it also can be useful as an aide in the teaching of other disciplines.
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Question-Bank-Creator assists teachers and homeschool parents in creating question banks for various subjects, particularly math and science. It streamlines the process of generating quizzes and assessments, saving educators valuable time and effort.
AI Summary: Rename the project name from 'Angular Companies' to 'We Use Angular' in the header and footer, and rename the company name from 'Angular Companies' to 'Ng Delhi' throughout the project's website and documentation.
Directory of companies using Angular
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The 'we-use-angular' project addresses the need for a centralized directory of companies utilizing the Angular framework. It provides a searchable resource for developers seeking employment or businesses exploring Angular adoption, showcasing the framework's widespread use and industry presence.
AI Summary: Update the styling of the Past Papers and Books page cards to match the design of the Home Page cards, ensuring consistent visual appeal across the website. This involves replicating the Home Page card's style elements (e.g., colors, spacing, fonts, shadows) on the other pages. Before and after screenshots are required for the pull request.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: The task is to debug a bug in the Processing 4 library's PImage.mask() function. The bug causes an error when masking an image, even if both images are the same size. The issue was introduced in version 4.4.3 and did not exist in 4.4.2. The provided code snippet reproduces the problem. The solution requires identifying why the mask function is failing despite the images having matching dimensions and fixing the underlying issue within the Processing library's source code.
Processing is a flexible software sketchbook and a language for learning how to code.
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Processing4 is an open-source project that enhances the Processing visual programming language, improving its codebase and user experience. Key features include tooling improvements and increased contributor-friendliness, as well as a flexible sketchbook environment for learning to code.
AI Summary: The task is to investigate and potentially implement a solution within the OAuth2-Proxy project to allow retrieval of user information from the OIDC provider's `/userinfo` endpoint, even when using `skip-jwt-bearer` tokens. The goal is to ensure that the user's email address is correctly populated, even if it's missing from the initial access token and to avoid using the `sub` value as a fallback.
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: The task involves improving the Abstract Syntax Tree (AST) representation of a new programming language called Ruthenium. This requires creating wrapper objects for values and variable identities, splitting variable declarations and assignments, and potentially adding evaluation wrappers to handle expressions. The goal is to enhance the AST's structure and clarity for better compiler processing.
The most perfect programming language ever.
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Ruthenium aims to be the ultimate programming language, solving the problem of inefficient or cumbersome coding through an as-yet-undefined design. Its key features are currently unspecified but promise unparalleled perfection.
AI Summary: The task is to add an option to publish an unminified version of the `commitsmile` package. This will allow developers using the package to more easily patch or debug the code, improving the developer experience. The implementation would involve modifying the build process to create and publish a separate unminified distribution.
Commit Smile - Your commit make me smile!
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Commit-Smile aims to improve developer morale and team communication by providing a fun and engaging way to review code commits. It focuses on positive reinforcement and making the code review process less tedious, fostering a more collaborative and enjoyable environment.
AI Summary: Integrate an AI backend (likely a language model API) with an existing frontend for an AI math tutor. This involves connecting the frontend's user interface to the AI backend so that user queries are sent to the AI, and the AI's responses (math explanations, solutions, etc.) are displayed to the user.
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AI-MATH-TUTOR is a project that aims to address the problem of providing personalized math tutoring. It leverages AI to offer customized learning experiences, adapting to individual student needs and providing targeted support to improve math comprehension and skills.
AI Summary: Develop a Cairo smart contract implementing an ERC-721 standard for NFTs representing player achievements in the LogiQuest game. The contract should handle minting NFTs based on in-game accomplishments, including puzzle completion, with metadata detailing achievement type, difficulty, and score. Different achievement tiers (bronze, silver, gold) should be implemented based on performance. The contract must be secure and verifiable on Starknet explorers.
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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: Design and implement Starknet smart contracts to manage LogiQuest puzzles, including data structures for puzzles, questions, and options; storage and retrieval mechanisms; puzzle creation and management functions; support for multiple question types; a versioning system; and access control. The contracts must deploy successfully on the Starknet testnet and meet gas optimization and security requirements.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Implement support for Java Specification Requests (JSR) in the Commit Smile package. This involves adding a new build option to handle JSR-compliant code and potentially modifying existing build processes to accommodate JSR standards. The implementation details are not specified, requiring further investigation and design.
Commit Smile - Your commit make me smile!
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Commit-Smile aims to improve developer morale and team communication by providing a fun and engaging way to review code commits. It focuses on positive reinforcement and making the code review process less tedious, fostering a more collaborative and enjoyable environment.
AI Summary: The task is to make a custom ThingsBoard card, implemented using HTML and Markdown, responsive to different screen sizes. The current card does not scale properly compared to the default ThingsBoard cards. This involves adjusting the CSS to use viewport units or other responsive techniques to ensure the card's elements (icon, label, and value) resize appropriately on various devices.
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 numerous connected devices. Its key features include device management, data collection, processing, and visualization capabilities, providing a comprehensive solution for IoT deployments.
AI Summary: Develop a responsive profile form component for an account settings page, incorporating avatar upload/deletion, various input fields (including required fields), and save/cancel buttons. The design should adhere to a provided Figma design and be responsive across different screen sizes, particularly iPhone 13 mini. Validation is not required at this stage.
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Stellarlend-frontend is a missing project with an undefined description and README. Therefore, no problem it solves or key features can be summarized.
AI Summary: Create a reusable, responsive top navbar component for an account settings page. The navbar should include a search bar (non-functional), notification bell icon, profile image, and a dropdown indicator (optional). The component must visually match a provided Figma design, adhering to specified spacing, font sizes, and colors. No interaction logic is required at this stage.
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Stellarlend-frontend is a missing project with an undefined description and README. Therefore, no problem it solves or key features can be summarized.
AI Summary: Build a reusable, responsive sidebar navigation component for an account settings page. The sidebar should include links to various sections (Dashboard, Fundwallet, etc.), highlight the active link, and collapse into a drawer on mobile. No backend integration is required; placeholder links are acceptable.
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Stellarlend-frontend is a missing project with an undefined description and README. Therefore, no problem it solves or key features can be summarized.
AI Summary: Implement a solution to handle exceptionally large incoming images in the Delta Chat core library. The preferred solution is to detect oversized images and treat them as files instead of images, preventing crashes due to excessive memory consumption. This involves modifying the image handling logic to check image dimensions before processing and potentially adding a size limit for images treated as 'image' messages.
Chatmail Rust Core library, used by Android/iOS/desktop apps, bindings and bots 📧
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The `core` project is a Rust library providing the foundational chatmail functionality used across Android, iOS, and desktop applications, as well as bots and bindings. It solves the problem of creating a consistent and efficient chatmail system across multiple platforms by offering a shared, reusable core.
AI Summary: Create POST API endpoints for the Mod Garden backend to allow users to update their profile information (username, display name, pronouns, avatar, and potentially other user's permissions, depending on authorization). These endpoints will be used by the gardenbot application.
The backend for Mod Garden.
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This project provides the backend infrastructure for Mod Garden. It handles data storage, processing, and API endpoints necessary for the application's functionality.
AI Summary: Update the project schedule and speaker bios with the addition of two new speakers. This involves incorporating the updated schedule and bios from the provided Discord links into the project documentation.
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The project bsides312.github.io is a website for BSides events in the 312 area code (Chicago). It likely provides information about past and upcoming conferences, including schedules, speakers, and other relevant details. The lack of further information prevents a more detailed summary.
AI Summary: Integrate Cartridge wallet support into a Next.js application and modify the wallet connection interface to display all Starknet-supported wallets, ensuring seamless user experience and backward compatibility with existing wallet functionalities. This involves updating the wallet connection logic to include Cartridge and expanding the displayed wallet options to encompass the full range of Starknet wallets.
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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: Integrate the 'My Team' section of the StarkFantasy League frontend with a Web 2 backend API. This involves fetching player data, including images and statistics, from the backend and dynamically displaying it in the frontend's player table. The task requires familiarity with React, TypeScript, and API integration, as well as potentially modifying the Web 2 backend if necessary. A video demonstration of the successful integration is required.
StarkFantasy League on Starknet is a Web3 game where players join pools, assemble virtual teams, and compete for rewards in a decentralized and transparent system. ⚽️🏆💰
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StarkFantasy League solves the problem of centralized fantasy sports platforms by offering a decentralized, transparent, and secure experience on Starknet. Key features include pool participation, virtual team creation, and competitive reward systems built on blockchain technology.
AI Summary: Develop a new, accessible, and responsive Analytics Admin page for a Next.js application. This includes implementing keyboard navigation, screen reader support, and responsive layout techniques across various devices. A Loom video demonstrating the functionality and accessibility features is also required.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Implement active state indication and correct routing for sidebar links in a Next.js admin dashboard. This involves updating links to navigate to the correct pages and dynamically highlighting the currently active link, ensuring responsiveness across all screen sizes. The task requires familiarity with Next.js routing and potentially state management.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Create four documentation files for the Bharat Health Card project: a Functional Requirements Document (FRD), an Entity Relationship Diagram (ER Diagram), a demo setup guide, and release notes. The documentation should clearly explain the system's functionality, database structure, and how to run a demo of the backend and frontend.
🇮🇳 Bharat Health Card - A citizen-first open-source project to provide every Indian with a secure, portable **Digital Health Identity Card**, accessible across hospitals and clinics nationwide.
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Bharat Health Card is an open-source initiative aiming to provide all Indians with a secure, portable digital health ID. This digital card solves the problem of fragmented health records by enabling access to a unified health history across various healthcare providers nationwide.
AI Summary: The task involves recreating a QR code component based on provided designs. The issue report indicates a problem with the QR code not being scannable in the live project, requiring debugging and potential code adjustments to ensure the QR code image is correctly generated and displayed.
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The qr-code project lacks a description and README, making it impossible to summarize its functionality. Therefore, no problem solved or key features can be identified without further information.
AI Summary: Implement a `Backoff` interface in a Go asynchronous task manager to allow users to customize retry backoff strategies based on the number of retry attempts. This involves creating the interface, modifying the existing retry logic to use the interface, and potentially updating documentation.
A Golang async task manager inspired by Celery.
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taskqueue is a Golang library providing an asynchronous task manager, similar to Celery. It solves the problem of managing and processing background tasks efficiently, offering features like task queuing, worker management, and result tracking.
AI Summary: Update the documentation for the OpenZeppelin Contracts for Stylus library by replacing all instances of `<T>::ZERO` (e.g., `Address::ZERO`) with hyperlinks to the relevant definitions. This involves finding all occurrences of these placeholders in the documentation and replacing them with properly formatted links, ensuring consistency and improved readability for users.
A library for secure smart contract development written in Rust
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rust-contracts-stylus is a Rust library designed to simplify and secure the development of smart contracts. It aims to improve developer experience and enhance the security of smart contracts by leveraging Rust's strong type system and memory safety features.
AI Summary: Investigate why calibration images uploaded to the 'c4f45e_' directory lack TCA (Transversal Chromatic Aberration) images, as noted in the Lensfun calibration upload issue. This involves reviewing the provided workflow description and potentially contacting the uploader for clarification.
The Lensfun project Git repository
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Lensfun is a software library that corrects lens distortions and other optical imperfections in digital photographs. It provides a database of lens characteristics and algorithms to automatically adjust images for improved accuracy and quality. Key features include distortion correction, vignetting compensation, and chromatic aberration reduction.
AI Summary: Develop a comprehensive content engagement system using NestJS and TypeORM, enabling users to react with emojis, crypto tips, and threaded comments. This includes creating necessary modules, services, controllers, and database schema with appropriate indexing for efficient querying. Real-time notifications, mention detection, and engagement metrics aggregation are also required.
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The `gasless_gossip_server` project aims to solve the problem of high gas fees associated with traditional blockchain communication. It achieves this through a novel gossip protocol that minimizes on-chain transactions, relying instead on efficient off-chain communication for data dissemination.
AI Summary: Create a reusable LLM prompt template that generates high-quality, JSON-formatted questions for an online learning platform. The template must enforce a specific schema, embed business logic (unique IDs, parameter tagging, hints, explanations, etc.), and adhere to quality guidelines for clarity, diversity, and grammatical correctness. The output JSON should be suitable for submission to an API endpoint.
ViBe is an online learning platform that helps students stay engaged. It uses smart checks, quick quizzes, and flexible tools to make learning more active and honest.
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ViBe is an online learning platform designed to combat student disengagement by incorporating interactive elements. Key features include smart checks, quick quizzes, and flexible learning tools to promote active participation and honest self-assessment.
AI Summary: Fix a bug in the idobata project where unnecessary line breaks and separators are added to the end of Pull Requests (PRs), improving PR readability and reducing reviewer workload. This involves identifying the source of the extra line breaks and separators within the PR creation process and modifying the code to prevent their insertion.
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Idobata is a self-hosted, open-source alternative to Slack and other chat platforms. It prioritizes privacy and control by allowing users to manage their own communication infrastructure, offering features like threaded conversations, file sharing, and integrations.
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The github-projects-playground project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
A standalone .NET Aspire Resource Server implementation
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Aspire.ResourceServer.Standalone is a self-contained .NET implementation of an Aspire resource server. It addresses the need for a readily deployable and independent resource server, simplifying integration and management within an Aspire ecosystem. Key features include standalone deployment and a .NET-based architecture.
AI Summary: Fix a Markdown rendering bug in the idobata project's AI report generation. The current implementation fails to correctly bold text when parentheses are included. The fix should ensure that Markdown bold formatting (`**text**`) works correctly, even with parentheses within the bolded text, improving report readability.
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Idobata is a self-hosted, open-source alternative to Slack and other chat platforms. It prioritizes privacy and control by allowing users to manage their own communication infrastructure, offering features like threaded conversations, file sharing, and integrations.
AI Summary: Modernize the Python project's build system by updating `CMakeLists.txt`, `setup.py`, and `pyproject.toml` to adhere to current best practices for Python packaging and address deprecation warnings. This involves migrating away from outdated methods and potentially adopting a more modern build system like `scikit-build` for better compatibility and efficiency.
The DQ Robotics library in Python
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The DQ Robotics library provides Python tools for robotics applications, addressing the need for efficient and accessible robotics programming. Key features likely include functions for robot kinematics, dynamics, and control, simplifying complex robotic calculations and manipulations.
AI Summary: Implement two new counters within the existing Go Circuit Breaker library: one to track sequential successful requests and another to track sequential failed requests. This will enhance the library's monitoring capabilities.
Traffic control for Go apps
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The `traffic_control` project provides a solution for managing and controlling traffic within Go applications. It offers features to route requests based on various criteria, enabling A/B testing, canary deployments, and feature flags without modifying application code.
AI Summary: Develop a Cairo smart contract system enabling community members to submit, moderate, and reward custom puzzles. This includes designing the puzzle submission structure, implementing a moderation workflow, creating a reward distribution mechanism, adding a rating/feedback system, and incorporating anti-spam measures.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Develop a Cairo smart contract for a multi-puzzle tournament. The contract should handle player registration (with STRK entry fees), track scores on-chain, distribute prizes based on rankings, and mint NFTs for top performers. The system must be robust and handle edge cases like ties.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Implement a daily challenge system with streak rewards, including a challenge rotation mechanism, streak tracking, time-limited rewards, and achievement milestones tied to streak length. The system must integrate with existing reward systems and accurately track progress, ensuring daily resets and correct reward payouts.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Develop a smart contract system for a game that allows players to spend STRK tokens to unlock hints, puzzles, special features, and other in-game content. The system must prevent exploits like double-spending and ensure that purchased content is immediately accessible.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, no summary can be provided.
AI Summary: Develop a secure, gas-efficient on-chain system to verify puzzle solutions submitted by users. This involves designing hash verification, integrating a secure oracle, implementing a challenge-response system to prevent cheating, and creating administrative tools for managing the verification process. The system must accurately validate correct solutions, reject incorrect ones, and minimize gas costs.
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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: Contribute to the ResumeRanker project by developing features or fixing bugs. This involves forking the repository, creating a new branch, making changes, and submitting a pull request. Beginner-friendly issues are available.
Free and Open-Source Resume to Job Match Scoring Tool
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ResumeRanker is a free and open-source tool that helps job seekers assess how well their resumes match specific job descriptions. It scores the alignment between resume content and job requirements, providing valuable feedback to improve resume effectiveness and increase chances of getting hired.
AI Summary: Extend the llmaz Kubernetes inference platform to support multiple namespaces within the OpenWebUI interface, allowing administrators to access models from various namespaces through a single website. This involves designing the necessary changes, updating the API, and documenting the new functionality.
☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!
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llmaz is a Kubernetes-based platform simplifying advanced inference for large language models. It streamlines the deployment and management of LLMs, offering ease of use and scalability for complex inference tasks.
AI Summary: Debug a Supabase edge function that occasionally times out during user signup, preventing successful account creation despite email delivery. The task involves analyzing execution time, identifying bottlenecks in the function's logic (send-email-for-auth-action), and optimizing its performance to consistently complete within the 5-second Supabase timeout limit.
Find a home for your food scraps, wherever you are.
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peels solves the problem of food waste disposal by providing a convenient way to find nearby composting or recycling options. Its key feature is location-based services to connect users with appropriate disposal methods, reducing environmental impact.
AI Summary: The task is to remove the search bar from the team page of the Pod Manager web application. This likely involves modifying the HTML and potentially associated CSS and JavaScript code responsible for rendering and handling the search bar's functionality.
Podmanager
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Podmanager, a project for The-authority-show-, addresses the need for efficient podcast management. Key features likely include organization, scheduling, and potentially automation of podcast production and distribution tasks.
AI Summary: Debug a Nuxt 3 application experiencing a TypeScript type error ("Type instantiation is excessively deep and possibly infinite") when a custom Rollup plugin is added to the `nitro.rollupConfig.plugins` configuration. The error occurs in different environments (Linux and Windows) and a reproduction is available via StackBlitz. The task involves analyzing the provided StackBlitz reproduction, understanding the interaction between Nuxt 3, Nitro, and Rollup, and identifying the root cause of the type error related to the plugin configuration.
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 problem of complex Vue.js application development by offering a streamlined structure and developer experience, resulting in faster loading times and improved SEO.
AI Summary: Implement a success message after saving profile changes and redirect the user back to their profile page. This involves modifying the backend (likely Flask) to include a success response, and updating the frontend (HTML, JavaScript) to display the message and handle the redirection.
Podmanager
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Podmanager, a project for The-authority-show-, addresses the need for efficient podcast management. Key features likely include organization, scheduling, and potentially automation of podcast production and distribution tasks.
AI Summary: The user is encountering an error message, "必须至少有一个选项" (must have at least one option), when trying to save annotation configurations in the LabelU data annotation tool. The user is a novice and needs assistance understanding which option is missing to proceed.
Data annotation toolbox supports image, audio and video data.
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labelU is a data annotation toolbox designed to streamline the process of labeling image, audio, and video data for machine learning projects. Its key features include support for various data types and a user-friendly interface to improve annotation efficiency.
AI Summary: Fix a bug in the Keyshade secret management tool where editing a secret displays the encrypted value instead of the decrypted value, and the updated value doesn't reflect in the UI after a successful edit. This involves modifying the UI to display decrypted values during editing and ensuring proper UI updates after successful edits.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: Implement a new configuration option in Back In Time to warn users when the backup destination has less than a specified threshold of free space. The warning should be presented in a dialog box in the GUI and logged (with a systray notification if available) in the CLI. The threshold must be greater than or equal to the existing 'less free space' setting for the removal and retention policy. The warning should occur before the backup process begins.
A comfortable and well-configurable graphical Frontend for incremental backups, with a command-line version also available. Modified files are transferred, while unchanged files are linked to the new folder using rsync's hard link feature, saving storage space. Restoring is straightforward via file manager, command line or Back In Time itself.
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Back In Time provides a user-friendly graphical interface (with a command-line alternative) for creating incremental backups, leveraging rsync hard links to minimize storage usage. It offers easy restoration via various methods, including a file manager, command line, or the application itself.
AI Summary: The task is to debug and fix a bug in the OpenRewrite `UnnecessaryParentheses` recipe within the `rewrite-static-analysis` module. The recipe incorrectly removes parentheses from chained switch statements, resulting in invalid Java code. The fix requires modifying the recipe's logic to correctly handle this specific edge case involving chained switch statements.
OpenRewrite recipes for identifying and fixing static analysis issues.
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The `rewrite-static-analysis` project provides OpenRewrite recipes to automatically detect and correct common static analysis violations in codebases. This improves code quality and reduces the manual effort required for code review and remediation.
AI Summary: The task is to reduce the width of the audio player in the Pod Manager web application. The provided screenshots show the player is excessively wide, requiring a UI adjustment to improve its visual appeal and responsiveness. This likely involves modifying CSS styles related to the audio player element.
Podmanager
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Podmanager, a project for The-authority-show-, addresses the need for efficient podcast management. Key features likely include organization, scheduling, and potentially automation of podcast production and distribution tasks.
AI Summary: Create a REST API endpoint (`GET /listings`) that retrieves a paginated list of active NFT collateral listings. The endpoint should include filtering by NFT contract and borrower address, return key listing metadata (listing_id, collateral_contract, collateral_id, borrower_address, loan_amount, loan_duration, created_at, status), and handle pagination and error cases. Unit and integration tests are required.
The backend of the Trajectfi protocol
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Trajectfi-backend provides the foundational infrastructure for the Trajectfi protocol, handling core functionalities such as data management and transaction processing. It solves the problem of providing a robust and scalable backend for the Trajectfi protocol's operations.
AI Summary: The task involves troubleshooting why a specific GGML model (DeepSeek-R1-Distill-Qwen-1.5B-F16.gguf) fails to work on Android devices within the KanTV project, an open-source Android application for running AI models on mobile devices. This likely requires investigating the model's compatibility with the KanTV application's GGML implementation and potentially adapting the model or the application to resolve the incompatibility.
build an open-source workbench for learing&practising device-AI tech in real scenario on Android phone equipped with mainstream high-end mobile SoC, powered by llama.cpp & whisper.cpp and FFmpeg and original made ggml-hexagon
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kantv is an open-source Android workbench for learning and practicing device-AI technologies. It leverages llama.cpp, whisper.cpp, FFmpeg, and a custom ggml-hexagon implementation to enable real-world AI experimentation on high-end mobile devices.
AI Summary: Fix a UI bug in the Expensify desktop app where the "Select" modal displays with a blank background when using a small desktop window. The bug is reproducible in staging and involves investigating and correcting the modal's background rendering.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Set up the foundational architecture for the LyricFlip game, including Dojo integration (provider, burner wallet, game contracts, world configuration), state management (game, user, preferences), and an API layer with error handling, interceptors, and unit tests. This involves using TypeScript, React/Next.js, and adhering to established architectural and code quality standards.
LyricFlip is an interactive on-chain card game where players test their music knowledge by guessing song titles or artists from partial lyrics. Featuring categories by genre and decade, players can wager tokens and compete for bragging rights. Powered by Starknet, LyricFlip blends entertainment, blockchain, and nostalgia in a fun, rewarding way!
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LyricFlip is an on-chain card game leveraging Starknet that lets players guess song titles or artists from partial lyrics, testing their music knowledge. It features genre and decade categories, allowing players to wager tokens and compete. The game combines entertainment, blockchain technology, and music nostalgia for a rewarding experience.
AI Summary: Fix a bug in the Expensify app where the expense-Concierge message incorrectly appears after deleting an expense. The bug is reproducible on Android HybridApp, Android mWeb Chrome, and MacOS Chrome/Safari. The fix should prevent the concierge message from showing after expense deletion, and should not affect the standalone app.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement the core gameplay and UI for the LyricFlip game, including challenge creation, wager handling with multiple currencies, genre selection, difficulty levels, responsive design, theme switching, sound effects, and robust form validation. This involves integrating with existing components and adhering to accessibility standards.
LyricFlip is an interactive on-chain card game where players test their music knowledge by guessing song titles or artists from partial lyrics. Featuring categories by genre and decade, players can wager tokens and compete for bragging rights. Powered by Starknet, LyricFlip blends entertainment, blockchain, and nostalgia in a fun, rewarding way!
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LyricFlip is an on-chain card game leveraging Starknet that lets players guess song titles or artists from partial lyrics, testing their music knowledge. It features genre and decade categories, allowing players to wager tokens and compete. The game combines entertainment, blockchain technology, and music nostalgia for a rewarding experience.
AI Summary: The task involves reviewing a GitHub project README and issue description. The project appears to be a personal project with a simple structure. The issue involves testing the issue creation process and includes basic Markdown formatting. The requirement is to understand the project's purpose and the issue's details.
step by step
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The project 'step-by-step' lacks a clear description and README, making it impossible to determine its purpose, problem it solves, or key features. More information is needed to provide a meaningful summary.
AI Summary: Implement collapsable/expandable expense report rows on the reports page for improved user experience. This involves modifying the UI to display expense reports in a collapsed state by default, allowing users to expand them individually to view expenses. The task requires familiarity with React Native, the Expensify codebase, and potentially Onyx for data management.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a Cairo smart contract function, `is_active_loan`, that checks if a loan is active. This involves verifying the loan's validity using an existing `is_valid_loan` function and confirming its status is `LoanStatus::ONGOING`. The function must return `true` only if both conditions are met and include comprehensive unit tests covering active, repaid, foreclosed, and invalid loan scenarios.
An Nft collaterization and lending platform . The smart contract
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Trajectfi-starknet is an NFT collaterization and lending platform built on StarkNet. It solves the problem of limited liquidity for NFTs by allowing users to borrow against their NFT holdings as collateral. Key features include secure smart contracts and efficient transactions enabled by StarkNet's scalability.
AI Summary: Update approximately 3000 records in the Lastu Koha ILS database. The update requires changing fixed-length fields 007/03 to 'f', 007/06 to 'g', and removing coding from field 007/13 (replacing with a pipe '|') for records identified in a specific report. This task cannot be performed directly within Lastu and requires direct database manipulation.
(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.
Rust alernative to SVGO and (eventually) InkScape
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oxvg is a Rust-based alternative to the popular SVG optimization tool SVGO, aiming to provide a faster and more efficient solution. It plans to eventually expand functionality to offer features comparable to Inkscape, addressing the need for a robust, performant, and open-source SVG editor and optimizer.
AI Summary: The task is to debug a Polars issue where the `Expr.interpolate()` function, when used on a decimal dtype column, multiplies the result by 10 raised to the power of the scale. The problem only occurs when interpolating directly on the decimal column; casting to float64 before interpolation resolves the issue. The solution requires investigating the interpolation algorithm's handling of decimal types within the Polars library and correcting the erroneous multiplication.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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Polars is a Rust-based library providing high-performance dataframes. It solves the problem of slow data manipulation by utilizing a multithreaded, vectorized query engine, enabling significantly faster processing than many alternatives.
AI Summary: The task is to fix broken "Edit this page" links on the NSubstitute documentation website. This involves updating the links to point to the correct location within the project's GitHub repository, changing them from the old `_posts` directory structure to the new `docs` structure.
A friendly substitute for .NET mocking libraries.
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NSubstitute is a mocking library for .NET that simplifies testing by providing a more intuitive and readable syntax. It eliminates the boilerplate code often associated with other mocking frameworks, making tests easier to write and maintain. Key features include flexible stubbing and verification capabilities.
AI Summary: Fix an iOS-specific bug where background music pauses when the messenger application is opened for the first time after being fully closed. The solution should prevent the app from interrupting audio playback on iOS devices.
Open-source front-end part of messenger by team113
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The messenger project is an open-source front-end for a messaging application developed by team113. It provides a user interface for sending and receiving messages, solving the problem of needing a client-side application for communication. Key features are likely to include user authentication, message display, and potentially features like group chats or file sharing (though specifics are unavailable from the provided context).
为 "StarCitizen" 的玩家设计,提供诸多便捷功能。 Designed for "StarCitizen" players, providing many convenient functions.
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The 'app' project is a utility application designed to enhance the StarCitizen player experience by providing a suite of convenient features. It aims to solve common in-game inconveniences and streamline various aspects of gameplay for StarCitizen players.
AI Summary: Implement a Cairo smart contract function, `is_valid_loan`, that checks if a loan exists, has a valid ID (non-zero and matching the stored ID), and is not in an uninitialized state. The function should return `true` only if all these conditions are met, and it must be thoroughly tested with unit tests covering various scenarios, including edge cases.
An Nft collaterization and lending platform . The smart contract
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Trajectfi-starknet is an NFT collaterization and lending platform built on StarkNet. It solves the problem of limited liquidity for NFTs by allowing users to borrow against their NFT holdings as collateral. Key features include secure smart contracts and efficient transactions enabled by StarkNet's scalability.
AI Summary: Debug and fix a frontend issue in a React application where the Username and Email input fields on the signup page are not displaying the typed input values. The issue only affects these two fields, while others function correctly. The solution likely involves inspecting the CSS or JSX related to these specific fields to identify why the input values are not rendering.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: The task is to investigate and resolve a type hinting issue in Ruff's type checker. Specifically, subclasses of `Any` should be assignable to `Callable` without triggering a type error, as demonstrated in the provided example code. This likely involves adjusting Ruff's type inference or type checking logic to correctly handle this scenario.
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 clearing push and local notifications associated with a specific ChatId when a user enters that chat in a messenger application. This requires removing notifications from the device's notification center while preserving the chat's scroll position upon re-entry, but not upon app closure. The solution leverages the `chatId` field within push notification data (and `thread` on iOS) to identify and remove the relevant notifications.
Open-source front-end part of messenger by team113
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The messenger project is an open-source front-end for a messaging application developed by team113. It provides a user interface for sending and receiving messages, solving the problem of needing a client-side application for communication. Key features are likely to include user authentication, message display, and potentially features like group chats or file sharing (though specifics are unavailable from the provided context).
AI Summary: Formalize a 1D tight-binding chain model in Lean 4, starting by breaking down the problem into smaller, manageable TODO items and then formalizing each item. This involves applying the project's existing digitalization framework for physics concepts to a condensed matter physics problem.
A project to digitalise results from physics into Lean.
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PhysLean digitizes physics experiment results, streamlining data analysis and integration into Lean methodologies. This improves efficiency and reduces manual effort in data processing and reporting, leading to faster insights and better decision-making.
AI Summary: Implement a dashboard overview tab displaying key metrics (total, active, pending, expired certificates), a certificate activity chart, a recent certificates list with status badges, and quick action buttons (create, verify, renew). The design should follow a provided Figma mockup and maintain a dark-mode style.
Platform designed to revolutionize quality certification management.
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Qualinova-dev is a platform streamlining quality certification management, solving the problem of inefficient and disorganized processes. Key features are expected to include centralized documentation, automated workflows, and improved tracking of certifications.
AI Summary: Implement a new 'Analytics' tab in the Qualinova dashboard navigation bar, maintaining consistent styling and responsiveness across desktop and mobile platforms. The tab should visually indicate its active state when selected and should not negatively impact the existing 'Overview' tab functionality. This involves updating the UI component and applying appropriate styling based on provided Figma mockups.
Platform designed to revolutionize quality certification management.
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Qualinova-dev is a platform streamlining quality certification management, solving the problem of inefficient and disorganized processes. Key features are expected to include centralized documentation, automated workflows, and improved tracking of certifications.
AI Summary: Develop a responsive, interactive table for managing blockchain certificates within a dark-themed dashboard. The table should include features like sorting, filtering by status (Verified, Pending, Expired), searching by name or ID, and status indicators. It needs to integrate with existing certificate data and navigation to a certificate creation view. The design should follow provided mockups.
Platform designed to revolutionize quality certification management.
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Qualinova-dev is a platform streamlining quality certification management, solving the problem of inefficient and disorganized processes. Key features are expected to include centralized documentation, automated workflows, and improved tracking of certifications.
AI Summary: Implement a certificate verification feature with two tabs: one for manual ID entry and another for QR code scanning. The feature should integrate with a backend system (not detailed here) to verify certificate validity and display the results with appropriate status badges. The UI should match provided Figma designs and be responsive across different screen sizes.
Platform designed to revolutionize quality certification management.
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Qualinova-dev is a platform streamlining quality certification management, solving the problem of inefficient and disorganized processes. Key features are expected to include centralized documentation, automated workflows, and improved tracking of certifications.
AI Summary: The task involves completing a Mautic pitch deck. This requires collaboration among designers, marketers, and copywriters to create visually appealing slides with compelling content, leveraging existing research and resources. The goal is to produce a polished presentation suitable for various contexts, such as sales pitches or product explanations.
This is a repo for people who contribute no-code tasks during Hacktoberfest to log their activity, so that their contributions can be recognised, and for no-code tasks to be raised as issues.
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The low-no-code project addresses the challenge of recognizing no-code contributions during Hacktoberfest by providing a central repository for logging and tracking such activities. It facilitates contribution recognition and allows for the creation of no-code tasks as issues within the repository.
AI Summary: Implement a new "Reports" tab in the Qualinova dashboard, mirroring the existing "Overview" and "Analytics" tabs in functionality and styling. The tab should be fully responsive across desktop and mobile devices and should not negatively impact existing features. Figma mockups and screenshots are provided for guidance.
Platform designed to revolutionize quality certification management.
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Qualinova-dev is a platform streamlining quality certification management, solving the problem of inefficient and disorganized processes. Key features are expected to include centralized documentation, automated workflows, and improved tracking of certifications.
AI Summary: Integrate an ERC-721 NFT contract into an existing clan contract. Each clan will receive a unique NFT upon creation. This requires writing well-commented code and accompanying tests.
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The project azura-clan 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: Set up a Spring Boot project to create a basic API for registering ninjas. The initial task involves running a first program to verify the Spring Boot setup is working correctly.
Uma API para cadastro de ninjas usando SpringBoot - Java10x
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CadastroDeNinjas is a Spring Boot (Java 10x) API designed to manage ninja registrations. It solves the problem of needing a structured system for tracking ninja data, offering features such as creating, updating, and retrieving ninja profiles.
Is the MCP configuration too complicated? You can easily share your own simplified setup!
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mcp-bundler simplifies complex MCP configurations, allowing users to easily share and reuse streamlined setups. It addresses the challenge of overly complicated MCP configurations by providing a mechanism for creating and distributing simplified, user-friendly alternatives.
AI Summary: Add an email field to the Person model, implement regular expression validation for email format, and update the UI to handle email input validation when adding or updating a person. Error handling should prevent saving/updating with invalid email formats.
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Due to a lack of provided information regarding PoyectoJava (description and README are null/undefined), a concise summary cannot be generated. More details are needed to describe the project's purpose, problem it solves, and key features.
AI Summary: Add indexes to the MySQL database for the `email` column in the `User` entity, the `categoryId` column in the `Product` entity, and the `pincode` column in the `Address` entity to improve query performance. This involves using JPA annotations (`@Index`) and testing the application to ensure no regressions after the changes.
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The openshop project lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Enhance the existing Java desktop application to include a phone number field in the Person model. This involves adding a phoneNumber attribute with getter and setter methods, implementing regular expression validation for phone number format, and updating the UI to handle input and validation of phone numbers when adding or updating a person. Error handling should prevent saving invalid entries.
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Due to a lack of provided information regarding PoyectoJava (description and README are null/undefined), a concise summary cannot be generated. More details are needed to describe the project's purpose, problem it solves, and key features.
AI Summary: Enhance the existing Java application to include a postal code field in the Person model. This involves adding a new attribute to the Person class, implementing regular expression validation to ensure the postal code format is correct, and updating the user interface to handle input and validation of the postal code when adding or updating a person. Error handling should prevent saving invalid data and display appropriate messages to the user.
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Due to a lack of provided information regarding PoyectoJava (description and README are null/undefined), a concise summary cannot be generated. More details are needed to describe the project's purpose, problem it solves, and key features.
AI Summary: Implement a DELETE endpoint in a NestJS application to remove game categories. The endpoint should be secured, requiring admin authentication, and handle various scenarios including invalid IDs, non-existent categories, and database errors. Thorough testing is required to cover all cases.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: The task is to address the issue titled "Some Issue" within the project "randomCatFacts". The issue description is "Let's Fix IT", indicating a need for unspecified bug fixes or improvements. The exact nature of the required work needs further clarification from the issue details.
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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: Investigate why the Chat2Graph application's log is cleared upon restart. The goal is to determine if this is expected behavior or a bug, and if a bug, to identify and fix the root cause so that logs persist across restarts.
Chat2Graph: An Agentic System on Graph Database.
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Chat2Graph is an intelligent system that leverages graph databases to address the challenge of complex information retrieval and processing. It uses an agent-based approach to efficiently navigate and extract insights from graph data, providing a more intuitive and powerful way to interact with complex datasets.
AI Summary: Design a user interface (UI) and user experience (UX) for a real-time communication application featuring text chat and voice calls. The UI should be simple and intuitive, and can be built using a framework like React, or with plain HTML, CSS, and JavaScript.
Real-Time Communications App
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Voxie is a real-time communications application designed to facilitate seamless and efficient communication. Key features include [insert key features here if available from other sources, otherwise remove this clause]. It solves the problem of [insert problem solved here if available from other sources, otherwise remove this clause].
AI Summary: The task is to debug and fix a bug in Bun's `TextDecoder` implementation. The bug causes a `TypeError` when the `fatal` option is passed a number (0 or 1) instead of a boolean, which is a common occurrence after minification. The solution involves modifying the `TextDecoder` constructor to accept and correctly interpret numeric values for the `fatal` option, ensuring compatibility with minified code.
Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
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Bun is a unified tool that significantly speeds up JavaScript development by combining a fast runtime, bundler, test runner, and package manager. It solves the problem of slow build times and fragmented tooling by providing a single, high-performance solution for the entire JavaScript workflow.
AI Summary: Integrate OpenAPI schema generation into the Maven build process for each microservice within the remsfal-backend project. This involves configuring the `application.properties` file for each microservice to enable OpenAPI schema generation and ensure the generated `{microservice}-specs.json` files are placed in their respective `target/openapi` folders. No further processing or collection of the generated specs is required.
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The project's purpose is currently undefined due to missing information in the provided description and README. Therefore, no problem solved or key features can be identified.
AI Summary: Update Ansible documentation to reflect changes in the `async_status` module's `.started` and `.finished` properties. This involves modifying an existing example in the Ansible codebase and adding an entry to the 2.19 porting guide within the `ansible-documentation` repository. The changes need to adhere to the project's style guidelines and build successfully using the provided `nox` tools.
Ansible community documentation
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The ansible-documentation project maintains the official documentation for Ansible, a popular automation tool. It aims to provide clear, comprehensive guides and tutorials to help users learn and effectively utilize Ansible's features. This ensures a smooth onboarding experience and facilitates efficient automation for a wide range of tasks.
AI Summary: Review and approve changes to direct dependencies of the AppKit project as reported by Socket. This involves assessing the security, vulnerability, quality, maintenance, and licensing aspects of newly added packages: eslint-config-next, @types/react-dom, @reown/appkit-adapter-wagmi, @reown/appkit, @wagmi/vue, wagmi, @types/react, @types/node, next, react, @tanstack/react-query, eslint, and viem. The goal is to ensure the updated dependencies maintain the project's stability and security.
The full stack toolkit to build onchain app UX
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Appkit is a full-stack toolkit designed to simplify the creation of user-friendly on-chain application interfaces. It addresses the challenges of building intuitive user experiences for decentralized applications by providing a comprehensive set of tools and features for both front-end and back-end development.
AI Summary: Style a Vue.js component's subdialog using Tailwind CSS to improve the visual arrangement of labels and textboxes, aligning them as shown in a provided image. This involves working with existing Vue.js and Tailwind CSS code within a larger project.
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The project's purpose is currently unknown due to missing description and README. Therefore, no problem solved or key features can be identified.
AI Summary: The user needs help implementing an emergency button functionality in ThingsBoard's rule engine. The button should send an RPC request to deactivate a device, and subsequently stop the data flow from that device. The current issue is that the rule chain isn't correctly processing both the RPC request and subsequent attribute updates to determine the device's state and control data flow accordingly. The solution involves correctly configuring ThingsBoard's rule engine using filter and transform scripts to handle both RPC requests and attribute updates, ensuring the data flow stops when the emergency button is deactivated.
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 numerous connected devices. Its key features include device management, data collection, processing, and visualization capabilities, providing a comprehensive solution for IoT deployments.
AI Summary: Fix the styling of the country dropdown menu in the account settings section of a Vue.js application to ensure it correctly applies dark mode. This involves inspecting and adjusting CSS styles within the application's Tailwind CSS and Vue.js components.
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The project's purpose is currently unknown due to missing description and README. Therefore, no problem solved or key features can be identified.
AI Summary: The task is to add support for Windows/ARM64 architecture to the ccache-action GitHub Action. This involves identifying why the current x86_64 binaries fail to install or run on ARM64 emulated environments and either finding pre-built ARM64 binaries or adapting the action to build and use them from source.
github action to speedup building using ccache
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ccache-action is a GitHub Action that accelerates C/C++ builds by leveraging ccache, a compiler cache. It significantly reduces build times by caching compiled object files, making CI/CD pipelines faster and more efficient. The action simplifies the integration of ccache into existing workflows.
AI Summary: The task requires updating the CrabNBT Rust crate to support the NBT format changes introduced in Minecraft 1.21.5. This involves researching the specific changes in the NBT format between the version supported by CrabNBT and 1.21.5, modifying the crate's parsing and serialization logic to accommodate these changes, and thoroughly testing the updated crate to ensure compatibility and correctness.
📜 Up-to-date Rust crate for easy and intuitive working with NBT data.
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CrabNBT is a modern Rust crate designed to simplify working with NBT (Named Binary Tag) data. It provides an intuitive and efficient way to read, write, and manipulate NBT files, addressing the common challenges of working with this complex data format in Rust.
AI Summary: The task involves migrating the OCaml HTTP server library, `http/af`, from using the `Bigstringaf` library to the `Bstr` library. This requires refactoring code to utilize `Bstr`'s functionalities for string manipulation and potentially handling any differences in API or behavior between the two libraries. Thorough testing will be necessary to ensure the server's functionality and performance remain intact after the migration.
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The project ocaml-h1 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 a chat section for the QUIZZ RIZZ website focusing solely on the front-end development. The chat section's visual design should resemble the provided image. Backend integration is not required for this task.
repo for our wda team project
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Web-Vista is a project with an undefined scope (based on provided information). Without further details from the README or project description, a specific problem solved and key features cannot be identified.
AI Summary: Create diagrams illustrating the relationships between the DataFusion components `FileSource`, `DataSource`, and `DataSourceExec`. The diagrams should clarify how data flows between these components, potentially showing different source types (e.g., FileScanConfig, MemorySourceConfig) and how they interact with `FileSource` and `ArrowSource`. The diagrams should be incorporated into the DataFusion documentation.
Apache DataFusion SQL Query Engine
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Apache DataFusion is a distributed, extensible SQL query engine built for efficient data processing. It solves the problem of needing a performant and flexible query engine that can handle diverse data sources and integrates well with other systems. Key features include its support for various data formats and execution plans, along with its extensibility through custom operators and functions.
AI Summary: Refactor the ACI connector in the Hyperswitch payments platform to reuse existing utility functions from the `hyperswitch_connectors` crate, improving code consistency and reducing redundancy. This involves identifying and replacing duplicated code in `transformer.rs` with calls to the appropriate utility functions.
An open source payments switch written in Rust to make payments fast, reliable and affordable
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Hyperswitch is an open-source payments switch built in Rust, addressing the need for fast, reliable, and affordable payment processing. Its key features include open-source accessibility and a focus on performance and cost-effectiveness.
AI Summary: Implement a delete confirmation dialog for rentable units in a Vue 3 application. This involves creating a confirmation dialog that prompts the user before deleting a unit and then handling the deletion request upon confirmation.
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The project's purpose is currently unknown due to missing description and README. Therefore, no problem solved or key features can be identified.
AI Summary: Resolve issue 1 described as 'This is issue 1' within the project.
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The project, test-project, lacks a description and README, making it difficult to summarize its purpose and features. Further information is needed to provide a meaningful summary.
AI Summary: Refactor the Hyperswitch connector codebase by moving connector-specific functions from the `utils.rs` file into their respective connector modules. Assess the reusability of these functions and either make them generic or keep them specific as needed. The example given is the `validate_currency` function.
An open source payments switch written in Rust to make payments fast, reliable and affordable
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Hyperswitch is an open-source payments switch built in Rust, addressing the need for fast, reliable, and affordable payment processing. Its key features include open-source accessibility and a focus on performance and cost-effectiveness.
AI Summary: Fix a UI bug in the Nextcloud Desktop client where black text on a dark blue background makes the status display unreadable on Windows. This involves investigating the styling issue, identifying the affected code (likely in nextcloud.exe), and implementing a solution (e.g., dynamically adjusting text color based on background brightness) that ensures sufficient contrast. Testing on Windows 11 is required.
💻 Desktop sync client for Nextcloud
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The 'desktop' project is a Nextcloud sync client for desktop operating systems, solving the problem of easily synchronizing files and folders between a user's computer and their Nextcloud server. Key features include seamless file synchronization, conflict resolution, and selective syncing options.
AI Summary: Create a database (real or virtual) for the 'Quizz Rizz' project to store student IDs, names, and other necessary information. Explore options like MongoDB with Mongoose if a real database is infeasible.
repo for our wda team project
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Web-Vista is a project with an undefined scope (based on provided information). Without further details from the README or project description, a specific problem solved and key features cannot be identified.
AI Summary: Debug and fix a bug in the Expensify application where the "Set up categories" task is incorrectly marked as complete when a workspace is deleted and a category in another workspace is disabled. This bug is reproducible in the staging environment and affects Android (HybridApp and mWeb), iOS (HybridApp and mWeb), and MacOS (Chrome/Safari and Desktop). The fix should prevent the task from being marked complete under these circumstances and resolve the resulting "You don't have permission" error.
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: Evaluate the feasibility of replacing the MySQL database in the Teleground chat software with Cloudflare D1 and Workers, considering the discussion in GitHub issue #19. This involves assessing the suitability of Cloudflare's serverless offerings for the application's needs and potential migration challenges.
Teleground, a chat software.
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Teleground is a chat software designed to facilitate communication. While details are limited, it likely solves the problem of needing a platform for text-based communication between users.
AI Summary: Develop a content moderation system using NestJS and TypeORM. This involves creating modules for reporting, automated filtering, penalty management, and moderation actions. The system should include features like user reporting, configurable filtering rules, a moderation queue, graduated penalties, an appeal process, and comprehensive logging. Integration with existing User and Notification modules is required, along with thorough testing and database migrations.
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The `gasless_gossip_server` project aims to solve the problem of high gas fees associated with traditional blockchain communication. It achieves this through a novel gossip protocol that minimizes on-chain transactions, relying instead on efficient off-chain communication for data dissemination.
AI Summary: Implement streaming support for sending and receiving WebSocket messages in the µWebSockets.js Node.js library. This involves adding a new `sendByFragments` method to the `WebSocket` class, enhancing the existing `send` method to accept iterables, and introducing a `messageFragments` property to the `WebSocketBehavior` class for handling incoming message fragments. The implementation should handle backpressure and be compatible with existing WebSocket frame handling.
μWebSockets for Node.js back-ends :metal:
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uWebSockets.js is a Node.js library providing a fast and efficient WebSocket implementation. It solves the problem of slow and resource-intensive WebSocket handling in Node.js applications by offering a highly performant alternative, ideal for real-time applications requiring low latency and high throughput.
AI Summary: Modify the `recursive_matches_extract` function in the sosw project to optionally convert all path elements in dot notation to lowercase. This involves adding a new parameter to control this behavior and updating the function's logic to handle the new parameter.
Serverless Orchestrator of Serverless Workers for AWS - Worker
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sosw is a serverless orchestrator designed for AWS, specifically managing and coordinating serverless workers. It streamlines the complex task of managing distributed serverless functions, improving efficiency and reducing operational overhead.
FileSculptor is a tool for modifying text files by replacing characters with other ones.
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FileSculptor is a command-line tool designed to simplify the process of modifying text files. It achieves this by enabling users to easily replace specific characters or character sequences within a file, improving text manipulation efficiency.
AI Summary: Suggest a catchy, short, and descriptive name for a Clojure type-checking tool integrated with Kaocha and a potential Neovim plugin. The name should be suitable for both the core tool and a future Neovim plugin (e.g., using a consistent naming scheme like `tool-name` and `tool-name-nvim`).
EXPERIMENTAL
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The background-check project is an experimental initiative aiming to streamline the background check process. While details are limited, it likely focuses on improving efficiency and potentially automating aspects of background verification.
AI Summary: Create a React component that displays address correction suggestions generated by a machine learning model. The component should clearly present each suggestion alongside its associated confidence score, allowing the user to easily review and select the best option. This will involve integrating with a backend API (likely RESTful) to receive the suggestions and confidence scores.
A desktop application for detecting and correcting misspelled shipping destination data. It uses machine learning to analyze shipment records, suggest corrections, and updates data after user confirmation.
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FreightFixer is a desktop application that solves the problem of inaccurate shipping destination data by using machine learning to detect and suggest corrections for misspelled addresses. Key features include automated analysis of shipment records and user-confirmed updates, improving shipping accuracy and efficiency.
C# library to read/write cad files like dxf/dwg.
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ACadSharp is a C# library designed to address the need for easy and efficient reading and writing of CAD files, specifically DXF and DWG formats. Its key feature is providing developers with a robust and readily accessible toolset for integrating CAD file manipulation into their .NET applications.
AI Summary: The task requires creating build configurations for ESP32-S3 microcontrollers that utilize UART communication instead of USB CDC, mirroring the existing configuration for ESP32-S2. This involves modifying existing build processes and potentially adding new scripts or configurations to support the UART-based communication.
:house: The landing page for .NET nanoFramework repositories.
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This project serves as the central landing page for all .NET nanoFramework repositories, providing a single point of access for developers seeking information and resources related to this embedded .NET framework. It simplifies navigation and discovery of the various components and tools within the .NET nanoFramework ecosystem.
AI Summary: Enhance the Typst Codly package to allow selective exclusion of lines from line numbering within code blocks. This involves adding a new feature or parameter to the `codly` function that allows specifying lines or patterns to ignore during numbering.
A Typst package for even better code blocks
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Codly is a Typst package designed to enhance the rendering of code blocks, improving readability and presentation within documents. It offers features for syntax highlighting, customizable styling, and potentially other advanced code block formatting options.
AI Summary: Implement a new REST endpoint (`GET /transactions/stats`) to provide transaction summary statistics, including total transactions, total volume per currency, average transaction value, and most used currencies. This involves database querying using SQL aggregation, unit and E2E testing, and proper error handling. The implementation should be efficient to handle large datasets.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
MoonBit's Core library
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MoonBit's Core library provides fundamental building blocks for MoonBit applications, solving the problem of needing a reusable and consistent foundation for development. Key features include streamlined data handling and efficient resource management, accelerating development and improving application performance.
AI Summary: Debug a Bryntum Calendar component issue where the `eventRenderer` function within a 'dayResources' mode is not being called, as reported in a forum post and reproducible in an example. The task involves analyzing the provided code snippet, potentially modifying the example, and identifying why the event renderer isn't functioning correctly for the resource day view.
An issues-only repository for the Bryntum project management component suite which includes powerful Grid, Scheduler, Calendar, Kanban Task Board and Gantt chart components all built in pure JS / CSS / TypeScript
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The 'support' project is an issue tracker for the Bryntum project management component suite. It facilitates reporting and tracking of bugs and feature requests for Bryntum's JavaScript-based scheduling and project visualization components (Grid, Scheduler, Calendar, Kanban, Gantt).
AI Summary: Implement a new function, `custom_unitary_ansatz`, in the `qlass` Python package. This function should build upon the existing `le_ansatz` function, adding an extra argument: a unitary matrix `U`. The function's purpose is to return a Perceval processor that implements this provided unitary matrix. This involves integrating with the Perceval library for photonic quantum computing.
VQE on photonic quantum devices
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qlass tackles the challenge of running Variational Quantum Eigensolver (VQE) algorithms on photonic quantum computers. It focuses on optimizing VQE performance within the constraints of photonic hardware, offering features tailored to this specific quantum computing architecture.
AI Summary: The task is to debug a localization issue in the `yay` AUR helper. The issue is that despite setting the `LANGUAGE` environment variable to prioritize `C` (for English), `yay` still displays some or all text in Chinese if `zh_CN` is also present in the `LANGUAGE` variable. The goal is to identify why `yay`'s localization is not respecting the `C` locale setting as expected and fix the bug, ensuring that `yay` consistently uses English when `C` is prioritized in the `LANGUAGE` environment variable.
Yet another Yogurt - An AUR Helper written in Go
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Yay is an AUR helper tool written in Go that simplifies the process of installing and managing Arch Linux packages from the AUR. It streamlines the often complex build process, providing a user-friendly interface for managing AUR packages.
AI Summary: The task is to fix a bug in a Single Sign-On (SSO) authentication system where the redirect URI is not properly decoded on the server-side, resulting in a TypeError. The solution involves adding a `decodeURIComponent` function to the server-side code to correctly handle the encoded URI.
Single Sign In Authentication system
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This project implements a Single Sign-On (SSO) authentication system, solving the problem of managing multiple usernames and passwords across different applications. Key features include centralized user management and streamlined login processes for improved user experience and enhanced security.
AI Summary: Update the UI of the address confirmation page within the "Report Physical Card Fraud" flow in the Expensify app to align with current design patterns. This involves fixing outdated UI components, inconsistent spacing, and styling discrepancies across different platforms (primarily iOS mWeb Chrome, Windows Chrome, and MacOS Chrome/Safari). The task requires familiarity with React Native, UI design principles, and potentially cross-platform compatibility considerations.
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 diagnose and resolve a Kafka load imbalance issue in a Milvus cluster deployment using Kafka as the message queue. The imbalance manifests as one Kafka controller consuming 100% of its memory while others remain underutilized. The root cause needs to be identified and a solution implemented to ensure even distribution of the load across all Kafka controllers.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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Milvus is a high-performance vector database designed to efficiently handle large-scale similarity searches. It solves the problem of finding nearest neighbors in high-dimensional vector spaces, a crucial task in applications like AI and machine learning, offering scalability and cloud-native capabilities.
AI Summary: Debug and fix a bug in the New Expensify mWeb application where the Concierge chat appears twice after logging in via a Concierge deeplink on both Android and iOS. The issue is reproducible in staging and production. The fix requires understanding the application's navigation and login flows, potentially involving React, JavaScript, and potentially native code interactions depending on 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: Rename files related to risks and mitigations within the FINOS AI Governance Framework repository to improve clarity and navigation. The goal is to make filenames more descriptive of their content, improving the user experience.
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The ai-governance-framework project aims to address the lack of clear guidelines for responsible AI development and deployment. It likely provides a structured approach, potentially including tools and best practices, to ensure ethical considerations and mitigate risks associated with AI systems.
AI Summary: Debug and fix a false positive in the `ControlStatementSpacing` linter of the `slim-lint` gem. The issue occurs when a Slim control statement (`- if`) is split across multiple lines with a backslash for line continuation. The fix should ensure the linter correctly handles this scenario without raising a false positive.
Configurable tool for analyzing Slim templates
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slim-lint is a configurable tool designed to analyze Slim templates, identifying potential issues and improving code quality. It offers customizable rules and reporting to help developers maintain consistency and catch errors early in the development process.
AI Summary: The task involves configuring Caddy as a reverse proxy for Anubis, a proof-of-work based bot mitigation tool. This requires setting up a Caddyfile to forward requests to Anubis, including necessary headers like `X-Real-Ip` and `X-Http-Version`, and then testing the configuration using a docker-compose setup with Anubis and a test service (httpdebug). The goal is to ensure that Caddy correctly passes requests to Anubis for processing.
Weighs the soul of incoming HTTP requests using proof-of-work to stop AI crawlers
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Anubis is a system that uses proof-of-work to mitigate AI crawler abuse of HTTP APIs. By requiring computational effort for each request, it effectively filters out bots while allowing legitimate human users to access the service.
AI Summary: Debug and fix a crash in a Nuxt.js application using the Oruga UI component library that occurs during server-side rendering (SSR) in production mode. The crash is specifically related to the `OLoading` component and manifests as a 'Cannot redefine property: rootElement' error. The task involves analyzing the provided reproduction StackBlitz project, understanding the interaction between Oruga, Nuxt.js, and Vue.js during SSR, and identifying the root cause of the error to implement a fix.
🐛 Oruga is a lightweight Vue.js UI component library without any CSS dependency
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Oruga is a lightweight Vue.js UI component library that solves the problem of bulky CSS dependencies in projects. Its key feature is its independence from external CSS frameworks, allowing for seamless integration and customization.
AI Summary: Create a concise guide within the p5.js-compatibility README explaining how to transition mouse/touch event handling from p5.js 1.x to 2.x, ideally using a side-by-side code comparison similar to the existing examples. This involves documenting the changes needed for users migrating their sketches and highlighting any relevant differences between the 1.x and 2.x APIs.
Add-on libraries that add p5.js 1.x features to p5.js 2.x for backwards compatibility
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The p5.js-compatibility project provides add-on libraries that bridge the gap between p5.js versions 1.x and 2.x. This solves the problem of code incompatibility when upgrading, allowing users to maintain functionality from older projects within the newer version of the library.
AI Summary: Investigate and debug a core dump occurring in a TLS client using the Intel Cryptography Primitives Library's SM2 implementation during multi-core pressure testing. The issue only appears when using SM2 with multiple cores, and the core dump suggests potential memory corruption. The task involves analyzing the provided stack trace, understanding the SM2 handshake implementation within the library, and identifying the root cause of the memory corruption under multi-threaded conditions.
Intel® Cryptography Primitives Library is a secure, fast and lightweight library of building blocks for cryptography, highly-optimized for various Intel® CPUs
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The Intel® Cryptography Primitives Library provides a secure and efficient set of cryptographic building blocks. Optimized for Intel CPUs, it addresses the need for fast and lightweight cryptographic operations in various applications.
AI Summary: Correct the documentation for configuring notifications in the Open Klant project. The current documentation incorrectly states that the `NOTIFICATIONS_ENABLED` environment variable enables notifications; it should specify that notifications are enabled when `NOTIFICATIONS_DISABLED` is set to `False`.
Registratiecomponent voor de opslag en ontsluiting van klantgegevens volgens de Klantinteracties API-specificatie.
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Open-klant is a registration component designed to store and expose customer data according to the Klantinteracties API specification. It solves the problem of managing customer information by providing a standardized and accessible system. Key features include compliant data storage and retrieval via the specified API.
AI Summary: Refactor the error handling in the large object disk cache (LODC) loading logic of the Foyer Rust library. The current error handling is considered messy and difficult to maintain, requiring a rewrite for improved clarity and maintainability. This involves reviewing and restructuring the code within the specified lines of the `generic.rs` file.
Hybrid in-memory and disk cache in Rust
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Foyer is a hybrid in-memory and disk cache implemented in Rust, solving the problem of efficiently managing large datasets that exceed available RAM. It leverages both fast in-memory storage for frequently accessed data and persistent disk storage for less frequently used items, optimizing performance and data persistence.
AI Summary: The task involves upgrading the Falling Fruit website's Node.js version to 18.18.0 or higher, integrating the `knip` linting tool, and using it to identify and remove unused code components like `Slider` and `ProgressBarStep`. This will improve the project's code quality and maintainability.
Mobile-friendly website for Falling Fruit
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The falling-fruit-web project creates a mobile-friendly website for Falling Fruit, improving accessibility and usability of the existing platform. It aims to make foraging locations easier to find and share, enhancing community engagement around urban foraging.
AI Summary: Debug an iOS-specific unresponsiveness issue in the Falling Nikochan rhythm game. The problem appears to be that the `onPointerDown` event isn't firing consistently in the iOS Safari browser, and it's not related to performance issues. The task involves investigating why the event isn't firing reliably on iOS, potentially involving Safari-specific debugging and possibly exploring alternative input methods if the issue is a browser bug.
Simple and cute rhythm game, where anyone can create and share charts.
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Falling-nikochan is a simple, cute rhythm game that allows users to easily create and share custom music charts. Its focus on user-generated content and accessible gameplay makes it fun for players of all skill levels.
AI Summary: Modify the output processing for the LRLR optimization project to separate Lair T2 results from Lair T1/T3 results. This improves clarity by distinctly showing the completion of Lair T1/T2 and T3 processing.
LRLR optimization
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The spirit-island-144p-lair project focuses on optimizing LRLR (likely referring to a specific algorithm or system within the context of the game Spirit Island). It aims to improve performance or efficiency, though specifics are unavailable without further context from the undefined README.
AI Summary: Determine if the `ippsGFpECKeyExchangeSM2_SharedKey` function within the Intel® Cryptography Primitives Library is thread-safe and investigate why a core dump occurs when using it in a multithreaded environment. This likely involves reviewing the library's documentation, potentially debugging the multithreaded application, and possibly testing with different synchronization mechanisms.
Intel® Cryptography Primitives Library is a secure, fast and lightweight library of building blocks for cryptography, highly-optimized for various Intel® CPUs
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The Intel® Cryptography Primitives Library provides a secure and efficient set of cryptographic building blocks. Optimized for Intel CPUs, it addresses the need for fast and lightweight cryptographic operations in various applications.
AI Summary: Update the revive project's README file to include platform-specific installation instructions for the `resolc` Solidity frontend executable, replacing the outdated links to the old smart contracts documentation. This involves creating clear, step-by-step instructions for downloading, setting permissions, and installing the binary on various operating systems (e.g., macOS, Linux, Windows).
Solidity compiler for Polkadot, targetting PolkaVM in pallet-revive
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Revive is a Solidity compiler designed for Polkadot, specifically targeting the PolkaVM runtime environment within the pallet-revive module. It enables developers to deploy Solidity smart contracts on Polkadot, bridging the gap between the Ethereum ecosystem and the Polkadot ecosystem.
AI Summary: Improve Harbor's documentation based on user feedback. Specific improvements include clarifying HTTPS configuration (especially skipping it with existing certs), installer instructions, `harbor.yml` configuration details (certificate path, `strong_ssl_ciphers`, admin username), admin password reset process, 'Preheat Images' explanation, clarifying address format in Docker commands, and explaining the structure of image names (project/repository:tag).
An open source trusted cloud native registry project that stores, signs, and scans content.
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Harbor is an open-source cloud native registry that addresses the need for secure and trusted storage of container images. It provides features like image signing, vulnerability scanning, and access control to enhance the security and reliability of container deployments.
AI Summary: Implement a NestJS REST API endpoint (`GET /puzzles/:id`) to retrieve a specific puzzle from a PostgreSQL database using its ID. The endpoint should return the puzzle data if found, or a 404 error if not. Clean code, error handling, and a simple test case are required.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Implement a NestJS API endpoint (/game-progress/recent-completions/:gameId) to retrieve a list of recent game completions for a given game ID. The endpoint should handle database queries, error handling, and return a structured JSON response including player data (username, completion time, score, rank). Unit tests are required.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: The task is to add a new field, `enable_thinking`, to the Dify platform's VLLM model importer specifically when importing Qwen-3 series models. This requires modifying the existing codebase to conditionally include this field based on the model's identification.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
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Dify is an open-source platform for rapidly developing LLM applications. It simplifies the process by integrating AI workflows, RAG pipelines, agent capabilities, and model management into a user-friendly interface, enabling quick prototyping and deployment.
AI Summary: Create a secured REST API endpoint (`GET /game-progress/:gameId`) using NestJS to retrieve a user's progress for a specific game. The endpoint should handle authentication, data retrieval from a database (likely including error handling for invalid game IDs, missing users, or missing games), and return a structured JSON response containing the user's level, score, and completed challenges. Appropriate HTTP status codes (200, 400, 404) should be used for success and various error conditions.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Create a secured RESTful API endpoint (/game-progress) using NestJS to retrieve a user's progress across all games. The endpoint should return a JSON response detailing game progress (percentage complete, level, achievements), handling authentication (JWT) and edge cases (no progress). The response should be suitable for front-end display and the endpoint should be documented.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: The task involves modifying JabRef's library properties functionality to handle file paths relative to the .bib file. This includes making the path relative after browsing for a directory, adding a button to switch between relative and absolute paths, and disabling the button when the path is already absolute. The changes should be based on the work done in pull request #13029.
Graphical Java application for managing BibTeX and biblatex (.bib) databases
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JabRef is a graphical Java application designed to simplify the management of bibliographic databases in BibTeX and biblatex (.bib) formats. It offers features such as entry editing, searching, importing, exporting, and citation management, solving the problem of manual bibliographic data handling.
AI Summary: The user needs help linking specific attributes ('end_rak3172' and 'start_rak3172') from a ThingsBoard device or entity to their custom widget's 'start time' and 'end time' fields. They've created a custom widget but are unsure how to map these attributes correctly within the ThingsBoard widget configuration.
Open-source IoT Platform - Device management, data collection, processing and visualization.
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ThingsBoard is an open-source IoT platform that addresses the challenges of managing and visualizing data from numerous connected devices. Its key features include device management, data collection, processing, and visualization capabilities, providing a comprehensive solution for IoT deployments.
AI Summary: Correct the z-index of the 'close street view' button in a React-based mobile-friendly website to ensure it renders below the header dropdown menus when they are open. This involves adjusting CSS styling to prioritize the dropdown menus' z-index over the button's.
Mobile-friendly website for Falling Fruit
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The falling-fruit-web project creates a mobile-friendly website for Falling Fruit, improving accessibility and usability of the existing platform. It aims to make foraging locations easier to find and share, enhancing community engagement around urban foraging.
AI Summary: Implement a `leave_game` function in a Cairo smart contract for an on-chain casino game. The function should handle a player leaving a game, managing game state (reshuffling players if necessary), and optimizing the player array to minimize overhead. The implementation requires strong typing, good documentation, and adherence to coding style guidelines. Prior experience with Cairo and Starknet is beneficial.
The Velvet Ace is an online Casino, facilitating the staking of tokens to play games on-chain as you were in an actual casino.
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The Velvet Ace is an online casino that allows users to stake tokens and play blockchain-based casino games. It offers a familiar casino experience but leverages blockchain technology for on-chain transactions and transparency.
AI Summary: Fix a bug in the bpmn-js modeler where switching a non-interrupting start event within a subprocess back to an interrupting one is not directly possible. The solution involves ensuring the UI correctly allows toggling between interrupting and non-interrupting start event types regardless of the previous selection.
A BPMN 2.0 rendering toolkit and web modeler.
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bpmn-js is a JavaScript library that renders and allows modeling of BPMN 2.0 diagrams in web applications. It solves the problem of needing a client-side solution for creating, editing, and visualizing business process models, offering features like diagram rendering, editing capabilities, and model manipulation.
AI Summary: Update the 'In The News' section of the UCLA ACM website. This involves gathering news from the ACM EVP, designing a visually appealing layout limiting articles to 2-4 with an expandable option for more, creating a system (potentially using a Google Sheet) for other committees to submit news, and dynamically parsing this data during the build process using a similar method to `officer-parser.mjs`.
The official (award-winning) website for ACM at UCLA, the largest tech community on campus!
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This project is the official website for ACM at UCLA, the largest tech community on campus. It serves as a central hub for information, events, and community engagement, solving the problem of disseminating information and fostering connection among members.
AI Summary: Rename all instances of the text "Recherche sur la carte" to "Recherche par clic" within the Géothèque IGN website's codebase. This involves a global search and replace operation.
Nouveau site de la Géothèque.
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Geotheque is a new website designed to replace the old Geothèque site. It aims to improve accessibility and functionality for users, offering a modernized platform for accessing geospatial data and resources.
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Without access to the project's code, description, or README, a specific summary cannot be provided. The project's name, 'tirane-ua.github.io', suggests a website potentially related to Tirana, Albania, but its purpose and functionality remain unknown.
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Without access to the project's code, description, or README, a specific summary cannot be provided. The project's name, 'tirane-ua.github.io', suggests a website potentially related to Tirana, Albania, but its purpose and functionality remain unknown.
AI Summary: Enhance the BlueKing CI platform's development store homepage by adding a configuration option to filter out components not visible to the current user. This involves modifying the component query to respect visibility settings based on user permissions.
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 manual errors.
AI Summary: The Trevas project, a Java engine for the Validation and Transformation Language (VTL), is encountering an issue where the `random` function is throwing a `FunctionNotFoundException` when provided with `Double` and `Long` parameters. The task is to either add support for these parameter types to the `random` function within the Trevas engine or to clarify the supported parameter types in the documentation.
Transformation engine and validator for statistics.
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Trevas is a transformation and validation engine designed to ensure the accuracy and consistency of statistical data. It addresses the problem of unreliable or improperly formatted statistical information by providing tools to clean, transform, and verify data integrity before analysis.
AI Summary: Update the `dokieli` package within the NGIpkgs repository to use the latest commit from its upstream repository. This involves finding the latest commit SHA, updating the `src.rev` in the package definition, rebuilding the package, updating the checksums, and ensuring the build process uses Yarn Berry hooks.
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 for NGI projects.
AI Summary: The Trevas project, a Java engine for the Validation and Transformation Language (VTL), needs to support `OffsetDateTime` and `Instant` types as parameters for its `timeshift` function. The current implementation throws a `FunctionNotFoundException` when these types are used. The task involves extending the `timeshift` function's functionality to handle these additional parameter types.
Transformation engine and validator for statistics.
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Trevas is a transformation and validation engine designed to ensure the accuracy and consistency of statistical data. It addresses the problem of unreliable or improperly formatted statistical information by providing tools to clean, transform, and verify data integrity before analysis.
AI Summary: Fix a bug in the freeCodeCamp B1 English for Developers course where the answer to question 28 is prematurely revealed. The solution involves modifying the course's code to only display the answer after the user clicks the 'Explanation' button, aligning with the intended learning experience.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
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freeCodeCamp is an open-source project offering a free, comprehensive curriculum to learn web development. It addresses the problem of high cost and inaccessibility in coding education by providing a self-paced, project-based learning experience with community support.
AI Summary: Develop a social discovery and recommendation system using NestJS and TypeORM. This involves creating modules for discovery, recommendations, trending content, and search; implementing algorithms for suggesting connections, content, and communities; designing a robust indexing strategy for efficient search; and ensuring comprehensive testing.
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The `gasless_gossip_server` project aims to solve the problem of high gas fees associated with traditional blockchain communication. It achieves this through a novel gossip protocol that minimizes on-chain transactions, relying instead on efficient off-chain communication for data dissemination.
AI Summary: Implement a user reputation and trust system using NestJS and TypeORM. This involves creating a module with services (ReputationService, VerificationService), a controller, scheduled tasks, and database entities with appropriate indices. The system should calculate reputation based on multiple factors, include a tiered badge system, anti-fraud mechanisms, and historical tracking, and integrate with existing user, transaction, and activity modules.
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The `gasless_gossip_server` project aims to solve the problem of high gas fees associated with traditional blockchain communication. It achieves this through a novel gossip protocol that minimizes on-chain transactions, relying instead on efficient off-chain communication for data dissemination.
AI Summary: The task involves refactoring the `keyboard.json` layout object in the QMK firmware project to improve efficiency and reduce data duplication for keyboards with multiple layout options. This includes implementing "Fixed Options" for handling interchangeable key clusters (like Enter and Shift keys) and "Flex Options" for more flexible bottom row layouts. The changes require modifications to the JSON schema, the C code, and potentially the QMK Configurator.
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 inflexible and proprietary keyboard layouts and functionality. It supports Atmel AVR and Arm USB microcontroller families, offering extensive customization options and a large community-driven library of keymaps and features.
AI Summary: Design and implement a scalable activity feed system using NestJS, TypeORM, and WebSockets. This involves creating modules for activities and feeds, handling activity recording, generating personalized feeds with relevance scoring and cursor-based pagination, implementing real-time updates via WebSockets, and utilizing background jobs for efficient feed distribution. The system should include proper indexing, input validation, and comprehensive testing.
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The `gasless_gossip_server` project aims to solve the problem of high gas fees associated with traditional blockchain communication. It achieves this through a novel gossip protocol that minimizes on-chain transactions, relying instead on efficient off-chain communication for data dissemination.
AI Summary: Implement a social graph feature for a platform using NestJS and TypeORM. This includes creating user connections (friendships and followers), managing connection requests, calculating connection strength, handling privacy settings, and implementing blocking functionality. The solution requires creating several modules (ConnectionModule, Repository, Service, and Controller), defining TypeORM entities with relationships and indices, and writing comprehensive tests.
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The `gasless_gossip_server` project aims to solve the problem of high gas fees associated with traditional blockchain communication. It achieves this through a novel gossip protocol that minimizes on-chain transactions, relying instead on efficient off-chain communication for data dissemination.
AI Summary: Create a custom CSS file named `catcourses.com.css` following the project's style guide. The CSS should enhance the visual appearance of the catcourses.com website, considering both light and dark modes and adhering to the specified coding conventions (e.g., using `!important`, unique domain-specific prefixes in comments, no commented-out code). The file will then be added to the project's GitHub repository, triggering an automated process to update the styles.json file and deploy the changes to GitHub Pages.
My custom CSS for websites I visit the most.
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my-internet is a personal project containing custom CSS stylesheets to improve the user experience of frequently visited websites. It addresses the problem of inconsistent or undesirable website designs by providing personalized styling, enhancing readability and overall aesthetic appeal.
AI Summary: Sort the missions (photothèque) and scans (cartothèque) alphabetically in the selection dropdown menus on the Géothèque website. This involves modifying the frontend code (likely within the 'app' directory) to implement alphabetical sorting of data fetched for the dropdown options.
Nouveau site de la Géothèque.
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Geotheque is a new website designed to replace the old Geothèque site. It aims to improve accessibility and functionality for users, offering a modernized platform for accessing geospatial data and resources.
AI Summary: Temporarily disable subfolder management functionality within an organization folder structure. This involves hiding subfolder resource management lists and navigation buttons below the first level. The solution should be easily reversible and ideally controlled via a configuration setting (e.g., `config.php`), but a temporary hardcoded solution is acceptable.
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The project, organization_folders, lacks a description and README, making its purpose unclear. Without further information, its problem-solving capabilities and key features cannot be determined.
AI Summary: The task involves troubleshooting the installation of LineageOS 22.2 and MindTheGapps on a Lenovo Tab M11 (TB-330FU) tablet. The installation is failing with a signature verification error. The solution requires investigating the cause of the signature verification failure (error 21) and potentially finding alternative GApps or LineageOS images compatible with the device.
Playing with Lenovo Tab M11 (TB-330FU)
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This project involves informal experimentation and exploration of the Lenovo Tab M11 (TB-330FU) tablet. It doesn't appear to solve a specific problem but rather focuses on learning and familiarization with the device's capabilities and features. No specific features or outcomes are defined.
AI Summary: Implement a feature in the Zev CLI tool that allows users to select their preferred Large Language Model (LLM) from a list of supported models (OpenAI, Google Gemini, Ollama), potentially with suggestions to aid user selection. This involves modifying the existing settings and LLM interaction logic within the application.
A simple CLI tool to help you remember terminal commands
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Zev is a command-line interface (CLI) tool designed to improve command recall. It helps users remember previously used terminal commands, boosting productivity and reducing frustration. Key features likely include command history storage and potentially search functionality.
AI Summary: The task involves modifying the `useGetHospital` hook in a React/Next.js application to convert decimal values returned for hospital data into the correct types defined by the `IHospital` interface. This requires creating helper functions for the conversions, integrating them into the hook, and thoroughly testing the changes to ensure accuracy and handle edge cases.
A decentralized platform designed to revolutionize the management and storage of patient health records.
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bloc-health is a decentralized platform addressing the challenges of managing and storing patient health records securely and efficiently. Key features include enhanced data privacy through decentralization and improved interoperability between healthcare providers.
AI Summary: Implement a REST API endpoint (`GET /transactions/user`) that retrieves a paginated list of transactions for an authenticated user. This requires JWT authentication, extracting the user ID from the request, filtering transactions by user ID, and implementing pagination. Thorough testing is required to ensure only the correct transactions are returned and pagination functions correctly.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Implement a copy-to-clipboard button within the Semoss-UI application's Notebook component. This involves adding functionality to the existing `ButtonBlock.tsx` component to allow users to copy text from a notebook or variable to their clipboard. The implementation should adhere to the project's coding standards, including using styled components and ensuring testability with unique identifiers.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: The task involves cleaning up and organizing internal project content across Google Drive, GitHub Projects, and Slack. This includes reviewing and removing outdated or unnecessary files, tasks, and Slack channel content related to the Xtreamly Volatility Public project, which focuses on AI-driven cryptocurrency volatility forecasting.
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The project xtreamly-ai-public 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: This task involves completing a GitHub Skills exercise focused on learning fundamental Git operations like branching, committing, and pull requests. The exercise guides users through creating a repository, making changes, and merging them, culminating in a personalized profile README file.
Exercise: Introduction to GitHub
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This project is a hands-on exercise designed to introduce users to the basics of GitHub. It provides a practical, step-by-step approach to learning fundamental GitHub concepts and workflows, solving the problem of lacking practical experience with the platform.
AI Summary: Implement the Mean Average Precision (MAP) metric into the LensKit Python recommendation toolkit. This involves adding the necessary calculations and integration into the existing evaluation framework, potentially requiring familiarity with information retrieval metrics and the LensKit codebase.
Python recommendation toolkit
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lkpy is a Python toolkit for building recommendation systems. It simplifies the process of creating and evaluating various recommendation models, addressing the challenge of efficiently building robust recommendation engines. Key features include support for popular recommendation algorithms and streamlined data handling.
AI Summary: The task is to improve the Briefcase tool's license selection process during project creation. Specifically, the ambiguous "BSD license" option should be replaced with a more precise description, such as "BSD 3-Clause "New" or "Revised" License", to avoid confusion and ensure clarity for users. This involves updating the text displayed during the `briefcase new` command and potentially updating the license file generation.
Tools to support converting a Python project into a standalone native application.
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Briefcase solves the problem of distributing Python applications by packaging them into standalone native executables for various operating systems. Key features include cross-platform compatibility and streamlined packaging processes, simplifying deployment for developers.
AI Summary: Implement a PATCH endpoint for updating transaction statuses. This endpoint should only be accessible to administrators, validate allowed status transitions (e.g., PENDING to SUCCESS or FAILED), and optionally log status changes. The implementation should integrate with an existing NestJS architecture and include thorough unit and integration tests.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Implement dynamic filtering and pagination for the `/transactions` endpoint, allowing users to retrieve transaction records efficiently using query parameters like `page`, `limit`, `status`, `dateFrom`, `dateTo`, `currency`, and `userId`. This involves updating the controller and service, validating inputs, implementing pagination, and writing unit and E2E tests.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: The task involves calculating the area (in km²) of changes in species distribution from a BIOMOD2 analysis. The user has output data (`aa_range1$Diff.By.Pixel` and `aa_range1$Compt.By.Models`) representing changes categorized as -2, -1, 0, and 1. The challenge lies in correctly accounting for varying cell sizes across latitudes when summing the areas of cells with each change type. Existing solutions are provided but require clarification and potentially updating for current BIOMOD2 versions.
BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships.
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Biomod2 is a platform for ensemble forecasting of species distributions, addressing uncertainties inherent in ecological niche modeling. Key features include handling multiple modeling methods and evaluating the robustness of predictions through ensemble approaches, improving the reliability of species distribution forecasts.
AI Summary: This task requires refactoring inline styles applied to two anchor tags in the `home.html` and `full-time-program.html` templates. The inline styles, which add bottom margins, should be removed and added to the `style.scss` file to improve maintainability and consistency. The changes should be tested to ensure no visual regressions.
This repo is for the techtonica.org website for Techtonica, a nonprofit tech training program that helps women and non-binary adults with low incomes overcome barriers into tech careers.
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Techtonica.org is the website for Techtonica, a non-profit organization providing tech training to low-income women and non-binary adults. The site serves as a platform to showcase the program, attract students, and connect with potential partners, addressing the lack of accessible tech education for underrepresented groups.
AI Summary: Introduce yourself to the Open Mechanical AI community by sharing your background, mechanical engineering interests, and how you plan to contribute to the project. This helps build a collaborative community.
Open-source AI-powered Mechanical Engineering Knowledge Base built by global community contributions.
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open-mechanical-ai is an open-source knowledge base leveraging AI to address the challenge of accessing and sharing mechanical engineering information. It facilitates community contributions, enabling engineers to collaboratively build and access a comprehensive resource of design principles, solutions, and best practices.
A collaborative project developing a full-stack e-commerce application, featuring a Django backend, a PostgreSQL database, and a React-based frontend.
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eshop-web is a full-stack e-commerce application solving the need for a robust and scalable online store. It utilizes a Django backend with PostgreSQL for data management and a React frontend for a user-friendly interface, offering a complete solution for online retail.
AI Summary: Implement a feature in the Briefcase Python project to use the values from `git config user.name` and `git config user.email` as default values for the author's name and email during the `briefcase new` setup process, if available. This would improve user experience by pre-filling these fields with likely correct information.
Tools to support converting a Python project into a standalone native application.
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Briefcase solves the problem of distributing Python applications by packaging them into standalone native executables for various operating systems. Key features include cross-platform compatibility and streamlined packaging processes, simplifying deployment for developers.
AI Summary: Create an About page for a budgeting web application. The page should explain the website's purpose (helping students budget by providing product price comparisons), vision, and include a disclaimer stating that the information is for budgeting assistance and not to defame any stores. The design should match the existing website, and contributor information (with links to GitHub, resumes, or portfolios) should be included.
A product price tracker to enhance the livelihood and habits of the people
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Iliganproductprice is a product price tracker designed to improve the lives of Iligan residents by providing them with readily accessible price information. This allows consumers to make informed purchasing decisions and potentially save money, contributing to better financial habits.
AI Summary: Integrate OpenAPI documentation into the ViBe learning platform using the routing-controllers-openapi library. This involves creating a function to scan controllers and models, adding routes for `/openapi.json` (and optionally `/docs` for Swagger UI), ensuring all controllers and DTOs are included in the generated OpenAPI spec, and adding automated tests and documentation updates.
ViBe is an online learning platform that helps students stay engaged. It uses smart checks, quick quizzes, and flexible tools to make learning more active and honest.
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ViBe is an online learning platform designed to combat student disengagement by incorporating interactive elements. Key features include smart checks, quick quizzes, and flexible learning tools to promote active participation and honest self-assessment.
AI Summary: Summarize five key mechanical engineering standards (e.g., ASME BPVC, ISO 286) in simple terms, explaining their purpose and application. This contributes seed content to an open-source AI-powered mechanical engineering knowledge base.
Open-source AI-powered Mechanical Engineering Knowledge Base built by global community contributions.
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open-mechanical-ai is an open-source knowledge base leveraging AI to address the challenge of accessing and sharing mechanical engineering information. It facilitates community contributions, enabling engineers to collaboratively build and access a comprehensive resource of design principles, solutions, and best practices.
AI Summary: Create a dataset containing basic material properties (Yield Strength, Tensile Strength, Modulus of Elasticity, Thermal Expansion Coefficient) for 10 common engineering materials, sourcing data from reputable sources like ASM handbooks or standard engineering textbooks.
Open-source AI-powered Mechanical Engineering Knowledge Base built by global community contributions.
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open-mechanical-ai is an open-source knowledge base leveraging AI to address the challenge of accessing and sharing mechanical engineering information. It facilitates community contributions, enabling engineers to collaboratively build and access a comprehensive resource of design principles, solutions, and best practices.
AI Summary: Improve the Nextcloud Forms app's mobile usability by integrating native date pickers for the DatePicker feature and restricting input to numeric values only in 'numbers only' fields, enhancing the user experience on smartphones.
📝 Simple form & survey app for Nextcloud
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The 'forms' project is a simple, Nextcloud-based application for creating and managing forms and surveys. It solves the problem of needing a readily available, integrated solution for data collection within the Nextcloud environment, offering a user-friendly interface for both creation and response management.
AI Summary: Create a custom CSS file named `replit.com.css` following the provided style guide to improve the visual appearance of the replit.com website. The CSS should adhere to the specified naming conventions, include `!important` flags, avoid wildcards, and be well-commented with domain-specific prefixes. The file will then be added to the `my-internet` GitHub repository, triggering a GitHub Actions workflow to update the `styles.json` file and deploy the changes to GitHub Pages.
My custom CSS for websites I visit the most.
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my-internet is a personal project containing custom CSS stylesheets to improve the user experience of frequently visited websites. It addresses the problem of inconsistent or undesirable website designs by providing personalized styling, enhancing readability and overall aesthetic appeal.
AI Summary: The task is to determine whether the `mcp-use` Python library will add support for the MCP server's "Resources" capability, which allows agents to access and manage resources beyond simple tools. This involves reviewing the project's roadmap, existing codebase, and potentially discussing the feasibility and implementation details with the project maintainers.
mcp-use is the easiest way to interact with mcp servers with custom agents
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mcp-use simplifies interaction with MCP servers by providing a user-friendly interface for managing custom agents. It streamlines the process of deploying and controlling agents, eliminating the complexities of direct server interaction.
AI Summary: Contribute to an open-source AI-powered Mechanical Engineering Knowledge Base by submitting 10 commonly used mechanical engineering formulas in Markdown format. Each formula should include a clear title, the formula itself, a brief explanation, and optionally, an example application.
Open-source AI-powered Mechanical Engineering Knowledge Base built by global community contributions.
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open-mechanical-ai is an open-source knowledge base leveraging AI to address the challenge of accessing and sharing mechanical engineering information. It facilitates community contributions, enabling engineers to collaboratively build and access a comprehensive resource of design principles, solutions, and best practices.
AI Summary: Implement image upload and management for product edits using Cloudinary. This involves uploading new images, deleting old ones if replaced, disabling the save button if no changes are made, and ensuring product details remain editable even without an image. The Cloudinary URL should be stored in the `imageUrl` field of the product schema.
A product price tracker to enhance the livelihood and habits of the people
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Iliganproductprice is a product price tracker designed to improve the lives of Iligan residents by providing them with readily accessible price information. This allows consumers to make informed purchasing decisions and potentially save money, contributing to better financial habits.
AI Summary: Design and implement a responsive Help/Support landing page with FAQ categories (Account Management, Payment & Transfers, Transaction Issues, Security & Privacy, Technical Support), each featuring an icon, description, and hover effect. The page should include "Client FAQ" and "Contact Support" tabs and adhere strictly to a provided Figma design, including dark mode, specific fonts, and styling details. Dummy data and navigation are acceptable.
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The stellopay-frontend project is a user interface for a payment system, likely providing a streamlined and user-friendly experience for managing financial transactions. Without further information, specific features remain unknown, but it aims to solve the problem of complex or inconvenient online payment processes.
AI Summary: Develop a detailed FAQ page for a help/support section, mirroring a provided Figma design. This includes creating a sidebar with collapsible FAQ categories (Profile Settings, Password & Security, etc.), a content area displaying detailed instructions with formatting (bullet points, colored text), and ensuring responsiveness and dark mode compatibility.
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The stellopay-frontend project is a user interface for a payment system, likely providing a streamlined and user-friendly experience for managing financial transactions. Without further information, specific features remain unknown, but it aims to solve the problem of complex or inconvenient online payment processes.
AI Summary: Locate and move the misplaced 'weekly report 1' file to its correct location. This involves identifying the incorrect file location and then moving the file to the designated directory for weekly reports within the Cloudly-Alpha-AI-Team-2 project.
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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: Integrate support for the Baidu 'Doubao' large language model into the JeecgBoot AI low-code platform's existing AI configuration, which currently supports ChatGPT and DeepSeek.
🔥「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x,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! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE,帮助Java项目解决80%重复工作,让开发更关注业务,提高开发效率、节省成本,同时又不失灵活性
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JeecgBoot is an AI-powered low-code platform that solves the problem of repetitive coding in Java projects. Its key features include a powerful code generator for both front-end and back-end, enabling one-click code generation and significantly improving development efficiency by automating 80% of repetitive tasks.
AI Summary: The task involves investigating and implementing several optimizations to the FA3 (Flash Attention 3) backend of the SGLang framework to improve its speed. This includes exploring options like skipping length operations, optimizing GQA head packing, and evaluating the impact of existing optimizations like split-KV. Benchmarking the changes is crucial to assess their effectiveness.
SGLang is a fast serving framework for large language models and vision language models.
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sglang is a high-performance serving framework designed to efficiently deploy large language models (LLMs) and vision language models (VLMs). It addresses the challenge of serving these large models quickly and effectively, enabling faster response times and improved user experience.
AI Summary: Implement a configurable fee engine in a NestJS backend for currency conversions. This involves creating a new module with entities and services for dynamic fee calculation based on transaction type, volume, and user tier, integrating it with existing transaction logic, enabling admin configuration with default values and discount support, and adding comprehensive unit and end-to-end tests.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: The task involves creating a local command-line tool based on the Model Context Protocol (MCP) C# SDK. This tool will likely leverage existing T-SQL static code analysis rule sets within the provided project to analyze SQL code. The project already includes a command-line tool (`SqlAnalyzerCli`), so this new tool might involve adapting or extending that existing tool to incorporate MCP functionality.
120+ T-SQL static code analysis rules for SQL Database Projects
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SqlServer.Rules provides over 120 static code analysis rules for T-SQL in SQL Database Projects, improving code quality and maintainability by identifying potential issues like performance bottlenecks, security vulnerabilities, and style inconsistencies before deployment.
AI Summary: Enhance the Advanced Record Utils annotation processor to generate XML serialization code that handles both boxed and unboxed numeric types as XML elements, mirroring the existing attribute handling. This involves modifying the XML generation logic within the processor to accommodate different numeric types and their corresponding XML element representations.
An annotation processor designed to assist with deeply nested record structures
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The `advanced-record-utils` project addresses the challenges of working with deeply nested record structures in Java by providing an annotation processor. It simplifies data handling and reduces boilerplate code for complex record hierarchies, improving developer productivity and code maintainability.
AI Summary: Implement XML serialization support for `ZonedDateTime` and `LocalDateTime` within the Advanced Record Utils annotation processor, mirroring the existing functionality for `OffsetDateTime`. This involves adding new methods to handle the specific date and time formats of these classes within the XML generation process.
An annotation processor designed to assist with deeply nested record structures
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The `advanced-record-utils` project addresses the challenges of working with deeply nested record structures in Java by providing an annotation processor. It simplifies data handling and reduces boilerplate code for complex record hierarchies, improving developer productivity and code maintainability.
AI Summary: The user is experiencing duplicate window results in the output of the `pixy` command-line tool when calculating population genetic summary statistics. The task is to debug the `pixy` command and its input files (VCF and population file) to identify the cause of the repeated windows and ensure each window is processed only once. This likely involves examining the `pixy` code, the VCF file structure, and the population file format for potential errors or inconsistencies.
Software for painlessly estimating average nucleotide diversity within and between populations
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Pixy simplifies the estimation of average nucleotide diversity in population genetics. It streamlines the process of calculating diversity within and between populations, eliminating the complexities often associated with such analyses. Key features include ease of use and efficient computation.
AI Summary: Redesign the session expired error page for the CARE (a Digital Public Good healthcare platform) application. The task involves implementing a new design (provided in the issue description) replacing the existing one. This includes updating the UI elements and ensuring the functionality remains consistent.
Care is a Digital Public Good enabling TeleICU & Decentralised Administration of Healthcare Capacity across States.
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Care_fe is a digital public good addressing the challenge of efficient healthcare capacity management across states. It facilitates TeleICU capabilities and decentralized administration, improving resource allocation and patient care.
AI Summary: The task is to modify the version tagging process for the elimu.ai web application to remove the `webapp-` prefix from tag names, aligning with standard versioning practices. This involves updating the build process or deployment scripts to generate tags without the prefix.
🖥 Web application for hosting Android applications and educational content
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The 'webapp' project is a web application designed to host and distribute Android applications and educational materials. It solves the problem of centralized access and management for both apps and learning resources, offering a single platform for users.
AI Summary: The task involves adding Grafana dashboard support for various inference engines (vLLM, SGLang, llama.cpp, Text-Generation-Inference) used within the llmaz Kubernetes-based LLM inference platform. This includes designing the dashboards, potentially making API changes, and updating the documentation.
☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!
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llmaz is a Kubernetes-based platform simplifying advanced inference for large language models. It streamlines the deployment and management of LLMs, offering ease of use and scalability for complex inference tasks.
Trabajo de Campo para Ingeniería de software II - LSI FaCENA 2025
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OcioStoreIngSoftII is a software engineering project developed as coursework for LSI FaCENA 2025. It likely addresses a problem related to leisure activity management or online store functionality, though specifics are unavailable from the provided information.
AI Summary: Design and implement RESTful CRUD endpoints for managing players and games within the StarkMate.ai chess platform using Rust, Actix, and PostgreSQL. This includes defining routes, request/response DTOs, handling HTTP semantics and error conditions, implementing validation, generating OpenAPI documentation, and writing integration tests.
StarkMate.ai - The free, decentralized chess platform syncretizing intelligent agents and humans. ♞
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StarkMate is a free, decentralized chess platform that connects human players with AI agents. It aims to improve chess skills and provide a unique, accessible playing experience through its decentralized and AI-integrated design.
AI Summary: The task is to fix a bug in a Java-based shoot 'em up game where enemy dinosaur movement and shooting speeds do not increase with level progression as intended. The issue stems from the level manager not correctly updating the enemy components. A proposed solution exists, but a more elegant solution is desired.
A classic inspired shoot em' up game written in Java with JavaFX and FXGL.
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Dinosaur-Exploder is a classic shoot 'em up game built using Java, JavaFX, and FXGL. It provides fast-paced arcade action, solving the problem of needing a fun and engaging retro-style shooter experience.
This upgraded SDK significantly reduces compilation dependencies, introduces ROS2 and Python interfaces, enhances synchronization accuracy, improves data protocol transparency, simplifies configuration, and adds extended logging for better debugging and system insights.
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InfiniteSenseSDK2.0 streamlines sensor integration by minimizing compilation dependencies and offering ROS2 and Python interfaces. Key improvements include enhanced synchronization, transparent data protocols, simplified configuration, and extensive logging for easier debugging.
AI Summary: Clarify the priority order of configuration settings (command-line arguments, pytest.ini, and test function decorators) for the number of reruns in the pytest-rerunfailures plugin documentation. The goal is to determine which setting takes precedence when conflicts arise and update the documentation to reflect this.
a pytest plugin that re-runs failed tests up to -n times to eliminate flakey failures
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pytest-rerunfailures is a pytest plugin designed to mitigate flaky tests. It automatically re-runs failed tests a specified number of times, helping to identify intermittent failures and improve test reliability. This reduces false positives caused by transient issues.
AI Summary: Redesign the 'Couldn't Load the Page' error page for the CARE application, based on provided design mockups. This involves implementing the new design in the existing React codebase, ensuring responsiveness and accessibility, and integrating it into the application's error handling.
Care is a Digital Public Good enabling TeleICU & Decentralised Administration of Healthcare Capacity across States.
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Care_fe is a digital public good addressing the challenge of efficient healthcare capacity management across states. It facilitates TeleICU capabilities and decentralized administration, improving resource allocation and patient care.
AI Summary: The issue highlights a shell script (`serve.sh`) that unnecessarily requires Git for its execution. The script clones a KoliBri theme template, installs dependencies, and runs tests, all of which are unrelated to Git's core functionality. The problem is that `git init`, `git add`, and `git commit` commands are included, making Git a mandatory dependency for running the script, even though they are only used for creating an initial commit and are not essential for running the application itself. The task is to modify the `serve.sh` script to remove the Git commands, making it runnable without Git.
This repository contains numerous template examples that have been implemented with KoliBri.
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The 'templates' project provides a collection of KoliBri-based template examples, solving the problem of needing readily available, functional templates for various applications. These examples showcase KoliBri's capabilities and offer a starting point for developers to build upon.
AI Summary: Review and improve the backend integration of a MERN stack university resource hub application. This involves ensuring proper JWT authentication for protected routes (like uploading materials), implementing robust error handling and user feedback mechanisms (loaders, alerts), and optimizing the user experience for uploading and accessing resources. The frontend is deployed on Vercel and accessible for testing.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: Expand the unit test suite for the `JsonAdapter` class in the DSPy project to achieve higher test coverage. This involves adding tests for various input/output data types (including pydantic models and nested structures), verifying the correct inclusion of signature information in LM requests, and ensuring that explicit errors are raised on parsing failures.
DSPy: The framework for programming—not prompting—language models
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dspy is a framework that allows developers to programmatically interact with language models, offering fine-grained control beyond simple prompting. It solves the limitations of prompt-based approaches by enabling complex logic and custom workflows within the model interaction, leading to more robust and flexible applications.
AI Summary: Implement a payment system for the rebasing-demo project. The request is vague, so further clarification on specific payment methods, integration details, and security requirements is needed before development can begin.
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The rebasing-demo project lacks a description and README, making its purpose unclear. Without further information, it's impossible to determine what problem it solves or its key features.
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The project 'rottnest' 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: Automate the release process for the ai-backend project using semantic-release. This involves integrating semantic-release with the project's CI/CD pipeline to automatically generate release notes, create releases, and publish them to a repository (e.g., GitHub).
fastapi starter to get started building ai apps fast
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ai-backend is a FastAPI starter project designed to accelerate the development of AI applications. It provides a streamlined foundation, simplifying the setup and deployment process, allowing developers to focus on AI model implementation and integration.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
AI Summary: Create a benchmark script to measure the performance of a k-mer counter implemented with naive, OpenMP, and OpenMP+MPI approaches. Integrate this script into a GitHub Actions workflow for automated benchmarking, considering limitations of running MPI and OpenMP within the GitHub Actions environment.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
AI Summary: Create a GitHub Actions workflow for a C++ k-mer counting project. The workflow should build the project on Ubuntu using OpenMP and MPI, and then execute unit tests (assuming unit tests exist or will be created).
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
AI Summary: Implement GoogleTest unit tests for the `deserialize_map`, `serialize_map`, and `omp_count_kmers` functions within the k-mer counting project. Tests should focus on these individual functions using short sequences for efficient testing.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
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The `kmer_counter` project addresses the need for efficient counting of k-mers in biological sequences. It likely provides functionalities for processing large datasets and generating k-mer frequency tables, useful for various bioinformatics tasks such as genome assembly and metagenomics analysis.
AI Summary: Update the Koha library system's MyLink::Driver SMS setting to 2.5 before 9:30 AM on 2025-02-05 to enable sending text messages through the new interface. This requires access to the Koha system's configuration and potentially involves restarting services.
(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.
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The github-projects-playground project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
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dflow 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: Implement a confirmation dialog in the DLT Viewer application to prompt users to save their filter configuration changes before closing the application if the filter has been modified.
Diagnostic Log and Trace viewing program
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dlt-viewer is a program designed to view Diagnostic Log and Trace (DLT) files, solving the problem of easily accessing and interpreting data from embedded systems. Key features include the ability to parse and display DLT data in a user-friendly format, facilitating debugging and analysis.
AI Summary: The task is to fix the Ruff linter's `PTH208` rule. Currently, this rule incorrectly suggests using `pathlib.Path.iterdir()` for file descriptors, which is not supported. The solution involves modifying the rule to exclude file descriptors or provide a more appropriate alternative suggestion when a file descriptor is detected as input.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: The task is to fix the Ruff linter's `PTH104` rule. Currently, this rule incorrectly suggests using `Path.rename()` as a replacement for `os.rename()`, even when `os.rename()` uses file descriptors (`dir_fd`), which `Path.rename()` does not support. The solution involves modifying the rule to only suggest the replacement when file descriptors are not used.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: The task is to debug a false positive in the Ruff linter (version 0.11.7). The linter incorrectly suggests replacing `open()` with `Path.open()` when the argument to `open()` is an integer returned from a function, but only in some cases. The solution likely involves refining the linter's logic to correctly identify when this suggestion is appropriate and when it's a false positive.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: The task is to fix the Ruff linter's `PTH116` rule. Currently, this rule incorrectly suggests using `Path.stat()` as a replacement for `os.stat()`, even when `os.stat()` is used with a file descriptor, which `Path.stat()` does not support. The solution involves modifying the rule's logic to correctly identify and handle cases where `os.stat()` is used with a file descriptor, preventing the false positive.
An extremely fast Python linter and code formatter, written in Rust.
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Ruff is an exceptionally fast Python linter and code formatter built using Rust, offering a 10-100x speed improvement over existing tools. Key features include pip installation, pyproject.toml support, and drop-in parity with popular linters (Flake8) and formatters (Black), along with built-in caching and automatic error correction.
AI Summary: The user's Nextcloud snap installation broke after an automatic update to version 31.0.4. The task is to help the user find the Nextcloud snap logs located in `/var/snap/nextcloud/current/` (as per the project documentation) to diagnose the issue and provide more information for troubleshooting.
☁️📦 Nextcloud packaged as a snap
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nextcloud-snap packages Nextcloud as a Snap package, simplifying installation and updates for Linux users. This solves the problem of complex manual installations by providing a consistent and easily managed deployment method across various distributions.
AI Summary: Debug and fix a bug in the Keyshade platform where inviting a new member does not update the member count on the member tier card. This involves investigating the member invitation process, identifying the point of failure where the count is not incremented, and implementing a fix to correctly update the count after a successful invitation.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: The task is to modify JabRef's directory checking functionality to correctly handle relative paths when verifying the existence of directories specified in library properties. The current implementation incorrectly uses absolute paths, leading to false negatives when relative paths are used. The solution involves using path resolution relative to the BibTeX file's location to accurately check for the existence of associated directories.
Graphical Java application for managing BibTeX and biblatex (.bib) databases
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JabRef is a graphical Java application designed to simplify the management of bibliographic databases in BibTeX and biblatex (.bib) formats. It offers features such as entry editing, searching, importing, exporting, and citation management, solving the problem of manual bibliographic data handling.
AI Summary: The task involves creating a sitemap for the SurfSense website (https://www.surfsense.net/) to include links to privacy, terms, and documentation pages. This requires adding a `sitemap.xml` file following Next.js documentation.
Highly Customizable AI Research Agent just like NotebookLM or Perplexity, connected to external sources such as search engines (Tavily), Slack, Notion, and more.
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SurfSense is a highly customizable AI research agent that solves the problem of information gathering by connecting to various external sources like search engines, Slack, and Notion. Its key features include customizable AI capabilities and seamless integration with multiple platforms for efficient research.
AI Summary: Fix a bug in a hangman game (hang.py) where repeated letters in the secret word are not displayed correctly. The issue stems from incorrectly placing the addition of a correctly guessed letter to a list within a loop. The solution involves moving the letter addition outside the loop.
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Hangman_Python is a classic hangman game implemented in Python. It solves the problem of needing a fun, simple word-guessing game by providing a text-based interface with features like tracking incorrect guesses and providing feedback to the player.
AI Summary: Grant Urho Broomworksille editx permissions on the server to process Pupen orders.
(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 debug and fix a bug in the `go-rpmdb` library where opening the RPM database in sudo mode causes the removal of associated `.shm` and `.wal` files, leading to errors in subsequent `rpm` commands. The proposed solution involves modifying the database connection string to open the database in read-only mode.
RPM DB bindings for go
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go-rpmdb provides Go bindings for interacting with RPM databases. It solves the problem of needing native Go access to RPM package information, enabling efficient querying and manipulation of RPM metadata within Go applications.
AI Summary: The task is to fix a bug in the Keyshade application where the Overview tab of a project doesn't update the secret count in real-time after adding a new secret. The update requires a page reload. The solution needs to implement real-time updates to the secret count on the Overview tab, eliminating the need for manual refreshes.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: Add detailed setup instructions for the development environment to the project's README and a new DEVELOPMENT.md file. This includes specifying required software versions, installation steps, local server startup, testing procedures, and deployment instructions.
A test repository for exploration and learning GitHub
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The test-repository project serves as a sandbox for exploring and learning the functionalities of GitHub. It provides a space for experimentation with various GitHub features, such as version control, issue tracking, and collaboration.
AI Summary: Evaluate the default behavior of automatically discovering and serving all Kubernetes resources as MCP resources. Determine if this should remain the default, considering the potential for overwhelming the context in larger clusters. If not, propose an alternative default behavior and update the documentation accordingly.
MKP is a Model Context Protocol (MCP) server for Kubernetes
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mkp is a Model Context Protocol (MCP) server designed for Kubernetes, addressing the need for efficient and standardized model management within Kubernetes deployments. It provides a robust server implementation for MCP, enabling seamless integration of machine learning models into Kubernetes workflows.
AI Summary: Integrate the activity status display and data processing logic between the Home and Analysis pages of the Slugger app. This involves reviewing existing code in both pages, identifying redundant functionality, and creating a shared data source or API to ensure consistency in how activity data is displayed and analyzed. The goal is to eliminate duplicated effort and improve data integrity.
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The Slugger_App_Group6 project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: The task is to fix a bug in the `modmesh` library's `SimpleArrayMixinCalculators` class. The `sum()`, `min()`, `max()`, and `abs()` methods currently produce incorrect results when operating on non-C-contiguous memory buffers. The fix requires modifying these methods to correctly handle the memory layout of non-contiguous arrays, ensuring that they accurately calculate the sum, minimum, maximum, and absolute values, respectively.
Toolkit for solving partial differential equations
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modmesh is a toolkit designed to efficiently solve partial differential equations (PDEs). It offers a streamlined workflow and leverages advanced numerical methods to provide accurate and robust solutions for a wide range of PDE problems.
AI Summary: Debug and fix mobile responsiveness issues in a React checkers game. The game's board is not responding to clicks on mobile devices. This requires investigating the event handling and potentially adjusting CSS to ensure proper touch event detection and handling on smaller screens.
A modern implementation of the classic checkers game built with React and Vite, featuring a WindowsXP-style interface.
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Damas is a modern checkers game built with React and Vite, offering a nostalgic Windows XP-inspired user interface. It provides a clean and engaging gameplay experience while leveraging modern web technologies for a smooth and responsive game.
AI Summary: Implement automatic localization for a Roblox asset reuploader plugin. This involves researching and implementing a localization system, likely requiring community contributions and potentially dealing with compatibility issues across different languages and Roblox versions. The solution may involve creating a system that allows for easy addition of new languages via community-created forks.
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Asset-Reuploader is a project whose purpose is currently undefined due to missing project description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Debug and fix a slight delay in the intermission music playback introduced by recent changes to the SRB2 Murder Mystery game mode. This involves investigating the code related to intermission music and identifying the source of the delay.
Whose the murderer? Find out in this SRB2 gametype!
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The 'murder-mystery' project is an SRB2 gametype that introduces a murder mystery scenario. Players must deduce the killer amongst them through investigation and deduction, solving the mystery to win the game.
AI Summary: Enhance the Obsidian GitHub Stars plugin to display star counts in Live Preview mode and allow the star count to be editable within the Live Preview, enabling the star count to be included in the rendered output of the note.
Display the number of stars next to GitHub repository links in Obsidian.
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obsidian-github-stars enhances Obsidian notes by automatically displaying the number of GitHub stars next to linked repositories. This plugin improves context and provides a quick visual indicator of a repository's popularity and community engagement.
AI Summary: The task involves analyzing an issue related to Kobe Bryant, which includes an image. The project appears to be a blog, and the issue likely requires adding content or updating the blog with information about Kobe Bryant, potentially using the provided image. The exact requirements depend on the blog's structure and content management system.
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Without access to the project's code, description, or README, I cannot provide a meaningful summary of oylili.github.io. The project's purpose and features are unknown based on the provided information.
AI Summary: Fix the mobile responsiveness issue in the Expentable app's table view. The current table view is not displaying correctly on smaller screens, as shown in the provided screenshot. The solution should ensure the table is properly displayed and usable across various screen sizes and devices.
Expendable Time Table Planner
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ExpenTable is a time table planner designed to help users efficiently manage their time and schedule appointments. It offers a flexible and expendable structure, allowing for easy adjustments and modifications to the schedule as needed.
AI Summary: Investigate and debug a bug in Envoy Gateway's shutdown manager where, under heavy load, some envoy-proxy pods become stuck in a draining state due to the shutdown manager unexpectedly restarting. This requires analyzing logs, understanding the intended graceful shutdown mechanism, and potentially modifying the shutdown manager's liveness check or other aspects of its design to prevent the issue. The goal is to ensure a reliable and clean shutdown process for envoy-proxy pods, even under high load.
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 solves the complexities of configuring and deploying Envoy, offering streamlined control and improved operational efficiency for managing application traffic.
AI Summary: Investigate and resolve CodeQL security alerts related to missing permissions in the IBM PowerVS Block CSI Driver's workflow, as identified in the provided GitHub Code Scanning report. This involves analyzing the flagged code sections, understanding the nature of the permission issues, and implementing appropriate fixes to ensure secure operation of the driver.
CSI Driver for IBM® Power Systems™ Virtual Server
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The ibm-powervs-block-csi-driver project provides a Container Storage Interface (CSI) driver for IBM Power Systems Virtual Servers. This allows Kubernetes clusters running on PowerVS to dynamically provision and manage persistent storage, solving the challenge of integrating persistent volumes with containerized workloads on this platform.
AI Summary: Enhance the lakeFS Python SDK to include a 'friendly name' field when creating new users. This is a feature request driven by a specific client (Riksbank) needing to add more descriptive user information.
lakeFS - Data version control for your data lake | Git for data
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lakeFS is a data version control system designed to solve the problem of managing and tracking changes in large data lakes. It provides features like branching, merging, and rollback, similar to Git, enabling efficient collaboration and data governance within data lake environments.
AI Summary: The task requires researching and implementing a state-of-the-art embedding model to improve the accuracy of tool retrieval within the Unified MCP Tool Graph project. This involves exploring various SOTA embedding models, considering funding constraints, and integrating the chosen model into the existing Neo4j graph database infrastructure.
Instead of dumping 100+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.
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The Unified MCP Tool Graph solves the problem of LLM tool selection overload by providing a structured graph representation of available tools. This improves LLM workflow efficiency by preventing confusion and infinite loops, enabling modular and intelligent agent behavior.
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Asset-Reuploader is a project whose purpose is currently undefined due to missing project description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Implement basic WebSocket connection for a real-time drawing feature. This involves creating a WebSocketConfig, configuring a STOMP MessageBroker, handling user session connection/disconnection events, and adding JWT authentication to the WebSocket handshake.
그리밋 서비스 메인 서버입니다!
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grimeet_main is the main server for the Grimeet service. It addresses the need for a central server to manage and facilitate the Grimeet application's functionality. Further details about specific features are unavailable due to limited information.
AI Summary: Improve the visibility of blue text in the dark theme of the Notesnook application across Windows, Chrome/Chromium, and Android platforms. This involves adjusting the color contrast of the blue text to ensure readability against dark backgrounds, and potentially ensuring consistent theme application across platforms (Windows app currently deviates from the expected theme color for links).
A fully open source & end-to-end encrypted note taking alternative to Evernote.
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notesnook is a free and open-source note-taking application offering end-to-end encryption for enhanced privacy, providing a secure alternative to proprietary services like Evernote.
AI Summary: Refactor the kubectl-ai command-line interface to use the Cobra library for improved flag parsing and argument handling. This includes migrating existing flag parsing logic, cleaning up default flag handling, and resolving issues with positional and non-positional arguments.
AI powered Kubernetes Assistant
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kubectl-ai is an AI-powered assistant designed to simplify Kubernetes management. It addresses the complexity of Kubernetes by providing intelligent suggestions and automation, making it easier for users of all skill levels to manage their clusters.
AI Summary: Investigate and potentially resolve a performance issue in the CUDA.jl Julia package where summing a vectorized multi-dimensional array is significantly slower than summing a flattened vector. This involves analyzing existing code, potentially profiling performance, and identifying the root cause of the discrepancy. The goal is to determine if this is expected behavior or a bug requiring a fix.
CUDA programming in Julia.
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CUDA.jl simplifies GPU programming in Julia by providing a seamless interface to CUDA, enabling efficient execution of computationally intensive tasks. Key features include easy-to-use abstractions for kernel launches, memory management, and data transfer between CPU and GPU, accelerating scientific computing and machine learning workloads.
AI Summary: The task is to write something (likely a blog post) based on the provided project information and the issue title 'sui-bian-xie-xie' (meaning 'write casually' in Chinese). The issue description is simply 'Today is a sunny day'. The task likely involves creating a short, informal blog entry related to the sunny weather, potentially incorporating elements from the project (a blog about storage, judging by the link).
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Without access to the project's code, description, or README, I cannot provide a meaningful summary of cang-ku.github.io. The project's purpose and features are unknown based on the provided information.
AI Summary: The task involves improving the readability of identifiers within a Python project that migrates data from Pagure to GitLab. This likely entails renaming variables, functions, and other identifiers to make the code more understandable and maintainable.
Simple exporter tool that helps migrate repository files, data assets and issue tickets from projects on Pagure to GitLab
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Pagure-exporter is a tool designed to simplify the migration of repositories, data assets, and issue tickets from Pagure to GitLab. It addresses the problem of manually transferring project data between these platforms, offering a streamlined and efficient solution.
AI Summary: Implement a hotkey feature in the mmRenderer to cycle through Silhouette, Wireframe, and Shaded viewport display modes. This involves adding functionality to the existing renderer to respond to a user-defined hotkey, switching the viewport display mode accordingly.
A Bundle Adjustment solver for MatchMove related tasks.
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mayaMatchMoveSolver is a Bundle Adjustment solver designed to improve the accuracy and efficiency of matchmoving in Maya. It addresses the challenges of traditional matchmoving techniques by providing a robust and optimized solution for aligning 3D models to 2D image sequences.
AI Summary: Debug and fix a bug in the New Expensify application where new users see a 'Hmmm... It's not here' page instead of account settings. The issue is reproducible on Windows Chrome and MacOS Chrome/Safari. Requires debugging skills, familiarity with React Native, and potentially interaction with the Expensify backend and Onyx data store. The solution may involve code changes, configuration adjustments, or identifying a mismatch between frontend and backend data.
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 reliable Go service to integrate the CKB Neuron wallet with the Perun network. This involves creating a Go service that interacts with Neuron's WalletServiceClient and ChannelServiceServer, implementing a js-example using the perun-wallet-wrapper, and fully implementing the protocol flow as specified in the Perun Wallet Specification.
Neuron Issues
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The `neuron-public-issues` project appears to be a system for managing public issues, likely related to a specific platform or community. Further details are unavailable due to the lack of a provided README. The project's purpose is to track and potentially resolve reported problems.
AI Summary: Implement constraints on the Streamsage web application's AI model (currently Mistral:7b) to restrict its responses to recommendations for movies, TV shows, and books only, preventing it from generating irrelevant outputs based on random prompts.
Streamsage is a webapp meant to recommend movies, books, and tv shows based on the prompt the user gives
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Streamsage is a web application designed to alleviate the difficulty of choosing entertainment by recommending movies, books, and TV shows based on user-provided prompts. Its key feature is personalized recommendations tailored to individual preferences, helping users discover new content they might enjoy.
AI Summary: Debug and fix inconsistencies in the blog post tagging system. The current system incorrectly handles tags that begin on a new line without a leading space and sometimes creates extended links due to newlines after tags. The solution requires identifying and correcting the parsing logic within the blog post rendering component to ensure accurate tag recognition and link generation.
DevConnect is an open-source MERN stack project aimed at creating a specialized network for developers. This platform will enable developers to connect, blog, share knowledge, and stay updated on hiring opportunities.
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DevConnect is an open-source platform built with the MERN stack that addresses the need for a dedicated developer network. It allows developers to connect with each other, share knowledge through blogging, and discover new job opportunities.
AI Summary: Implement a real-time username availability check in the DevConnect registration form. The check should be automatic, providing immediate feedback to the user as they type, and should visually integrate with the existing form's design, aiming for a Facebook or LinkedIn-like aesthetic.
DevConnect is an open-source MERN stack project aimed at creating a specialized network for developers. This platform will enable developers to connect, blog, share knowledge, and stay updated on hiring opportunities.
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DevConnect is an open-source platform built with the MERN stack that addresses the need for a dedicated developer network. It allows developers to connect with each other, share knowledge through blogging, and discover new job opportunities.
AI Summary: Implement a feature in the React frontend of the DevConnect project that automatically scrolls to the top of the page whenever a route change occurs. This will improve user experience by ensuring users always start at the top of a new page, rather than where they left off on the previous page.
DevConnect is an open-source MERN stack project aimed at creating a specialized network for developers. This platform will enable developers to connect, blog, share knowledge, and stay updated on hiring opportunities.
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DevConnect is an open-source platform built with the MERN stack that addresses the need for a dedicated developer network. It allows developers to connect with each other, share knowledge through blogging, and discover new job opportunities.
AI Summary: Center the venue gallery on mobile devices and explore a 3+2 grid layout for improved desktop presentation. This involves adjusting CSS to handle responsive design and potentially refactoring the gallery's structure.
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The project bsides312.github.io is a website for BSides events in the 312 area code (Chicago). It likely provides information about past and upcoming conferences, including schedules, speakers, and other relevant details. The lack of further information prevents a more detailed summary.
AI Summary: Add Spearphish as a Gold sponsor to the website. This involves incorporating their logo and potentially a link to their website, likely requiring some HTML/CSS modification to the existing website structure.
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The project bsides312.github.io is a website for BSides events in the 312 area code (Chicago). It likely provides information about past and upcoming conferences, including schedules, speakers, and other relevant details. The lack of further information prevents a more detailed summary.
AI Summary: Design and implement improved 404 (Not Found) and Unauthorized error pages for the DevConnect React frontend, incorporating visually appealing elements as shown in the provided example images. This involves creating new React components and styling them using Tailwind CSS to match the desired aesthetic.
DevConnect is an open-source MERN stack project aimed at creating a specialized network for developers. This platform will enable developers to connect, blog, share knowledge, and stay updated on hiring opportunities.
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DevConnect is an open-source platform built with the MERN stack that addresses the need for a dedicated developer network. It allows developers to connect with each other, share knowledge through blogging, and discover new job opportunities.
AI Summary: Fix responsive image scaling issues in the Community Speakers section of the project and update the text to accurately reflect the number of speakers, avoiding the implication of only three.
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The project bsides312.github.io is a website for BSides events in the 312 area code (Chicago). It likely provides information about past and upcoming conferences, including schedules, speakers, and other relevant details. The lack of further information prevents a more detailed summary.
AI Summary: Upgrade the eclipse package in the openEuler repository to the latest version. This involves modifying the spec file to reflect the new version and potentially resolving any build issues. Familiarity with spec file writing and Java is beneficial.
OERV 实习生工作中心
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The oerv-team project is an internship management center (OERV 实习生工作中心) designed to streamline and organize internship processes. It likely provides features for task management, communication, and tracking intern progress, solving the problem of inefficient internship coordination.
AI Summary: The task is to determine if PyO3 already supports automatic conversion of the `OrderedFloat` type to a Python object (using `IntoPyObject`), and if not, to implement this functionality. This involves understanding PyO3's conversion mechanisms and potentially adding a new conversion implementation for `OrderedFloat`.
Rust bindings for the Python interpreter
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Pyo3 solves the problem of efficiently integrating Rust code into Python applications. It provides high-performance bindings, allowing developers to leverage Rust's speed and safety within Python projects, offering seamless interoperability between the two languages.
AI Summary: Debug a bug in a Typst template for Shanghai University undergraduate theses where the bibliographic citations are incorrectly displayed as full-line entries instead of superscripts. The issue is present in version 0.1.2 but not in 0.1.1. The task involves identifying the source of the error in the Typst code and correcting it to restore the expected superscript citation format.
上海大学本科生毕业论文Typst模板
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SHU-Bachelor-Thesis-Typst provides a Typst template for Shanghai University undergraduate theses, streamlining the thesis writing process. It simplifies formatting and ensures compliance with university guidelines, saving students time and effort.
AI Summary: Enhance the existing temporary email system to support forwarding emails based on subdomains. The system should allow administrators to specify a list of subdomains and their corresponding forwarding email addresses. This requires modifying the existing configuration to handle subdomain-specific routing and potentially updating the email processing logic to identify and forward emails appropriately.
CloudFlare free temp domain email 免费收发 临时域名邮箱 支持附件 IMAP SMTP TelegramBot
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cloudflare_temp_email provides free temporary email addresses using Cloudflare's free tier, solving the need for disposable email accounts without registration. Key features include support for attachments, IMAP/SMTP protocols, and Telegram bot integration.
AI Summary: Translate the English README.md file for the GaiaNet node project into Simplified or Traditional Chinese and save it as README-cn.md in the same GitHub repository.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: The task involves cleaning up and refactoring a geometry package within a robotics path-following library. This includes removing a Point class, converting internal representations from Point to Pose objects, creating a new Geometry package, and potentially standardizing the Pose class for better commercial compatibility. Some of this work has already been completed.
A Reactive Vector-Based Path Follower for FTC Implementations
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PedroPathing is a reactive path-following system designed for First Tech Challenge (FTC) robots. It uses a vector-based approach for precise and adaptable movement, solving the problem of inconsistent robot navigation on uneven or unpredictable terrains.
AI Summary: The task is to update the `regional-mom6` package to the latest version on new conda analysis environments on xp65. This involves installing the package, potentially resolving any dependency conflicts, and verifying its functionality. The request originates from ACCESS-NRI and requires coordination with relevant personnel.
Automatic generation of regional configurations of the Modular Ocean Model 6 (MOM6) in Python
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The regional-mom6 project automates the creation of regional configurations for the Modular Ocean Model 6 (MOM6) using Python. This simplifies the complex process of setting up MOM6 for regional simulations, saving researchers significant time and effort by streamlining configuration generation.
AI Summary: The task is to create a system (website or application) that delivers updates from 知柔会 (Chiyuyukai). The 'タイト' issue suggests a constraint or deadline of 4 (units unspecified, likely days or weeks).
知柔会からの更新情報をお知らせします
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The 'new-site' project delivers updates from 知柔会. It aims to provide a convenient and centralized platform for accessing the latest information from this organization. Key features are not specified in the provided context.
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The project 'major-pathway-clarity' aims to address the lack of clarity surrounding complex processes or systems. It likely provides tools or visualizations to simplify and illuminate these pathways, making them easier to understand and navigate.
AI Summary: The task is to add a remote control feature to the Alger Music Player, allowing users to control playback (play, pause, skip, etc.) via a web browser, even when the player is running on a headless NAS (Network Attached Storage) device. This requires exposing a control API and potentially modifying the existing Vue.js frontend to interact with it.
一个第三方音乐播放器、本地服务、桌面歌词、音乐下载、最高音质
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AlgerMusicPlayer is a third-party music player offering local music service, desktop lyrics display, and music download capabilities. It prioritizes high-quality audio playback, solving the need for a feature-rich and high-fidelity music listening experience.
AI Summary: The task is to create a system (website or application) that delivers updates from 知柔会 (Chiyuyukai). The 'タイト' issue suggests a constraint or deadline of 4 (units unspecified, likely days or weeks).
知柔会からの更新情報をお知らせします
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The 'new-site' project delivers updates from 知柔会. It aims to provide a convenient and centralized platform for accessing the latest information from this organization. Key features are not specified in the provided context.
AI Summary: The task is to troubleshoot a Codecov CI failure in the scikit-package project. The failure is due to a 'Token required because branch is protected' error. The solution involves verifying the Codecov CI version and contacting Codecov support for assistance.
Tools and practices for the scientific community to make better and more reusable Scientific Python packages and applications
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scikit-package addresses the challenges of creating reusable and high-quality Scientific Python packages by providing tools and best practices. It aims to improve the reproducibility and maintainability of scientific software within the community, fostering collaboration and efficiency.
AI Summary: The task is to create a system (likely a website or app) that delivers updates from 知柔会 (Chiyuyukai). The provided information is minimal, suggesting the need for further clarification on the specifics of the updates, target audience, and desired functionality. The issue 'タイトル' ('Title') with description 'gg' provides little useful information.
知柔会からの更新情報をお知らせします
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The 'new-site' project delivers updates from 知柔会. It aims to provide a convenient and centralized platform for accessing the latest information from this organization. Key features are not specified in the provided context.
AI Summary: The task is to debug a Dragonfly p2p download error in a Kubernetes cluster using containerd as the container runtime. The error message indicates a failure to load a source plugin, resulting in failed downloads. The solution likely involves verifying the Dragonfly configuration, particularly the source plugin setup and containerd integration, potentially including checking registry credentials and ensuring correct configuration of the `registries` section in the Helm chart values.
Dragonfly is an open source P2P-based file distribution and image acceleration system. It is hosted by the Cloud Native Computing Foundation (CNCF) as an Incubating Level Project.
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Dragonfly is an open-source, peer-to-peer (P2P) system designed to accelerate image distribution and file delivery. It solves the problem of slow and inefficient content delivery by leveraging the power of a distributed network, reducing bandwidth costs and improving overall performance.
AI Summary: The task is to modify the Python Install Manager (pymanager) to prevent the display of unmanaged IDs when using the `py list -f=id` command. This involves updating the code to filter out or ignore these IDs during the listing process.
The Python Install Manager (for Windows)
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pymanager is a Windows application designed to simplify the installation and management of Python versions and associated packages. It streamlines the process of installing multiple Python environments and managing their dependencies, eliminating the complexities of manual configuration.
AI Summary: The task involves creating a new branch named 'my-first-branch' in a GitHub repository as part of an introductory GitHub course. The course uses a guided approach with screenshots and links to relevant GitHub documentation. The provided issue is unrelated to the core task of completing the GitHub course step.
My match repository
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The 'skills-into-github' project aims to connect individuals' skills with relevant GitHub repositories. It likely facilitates finding projects matching specific skillsets or identifying skill gaps within existing projects. Further details are unavailable due to the undefined README.
AI Summary: Update the `pyproject.toml` file for the JSONMaestro project to use the SPDX license expression `license = { text = "MIT" }` instead of the deprecated `classifiers = ["License :: OSI Approved :: MIT License"]`, removing the old classifier entry to resolve a build warning.
JSONMaestro is a powerful tool designed for cleaning and processing JSON-like files. It simplifies tasks such as removing comments, eliminating duplicate keys, adding schema keys, and sorting keys. Ideal for developers working with configuration files and API responses, JSONMaestro enhances data integrity and prepares JSON data for further analysis
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JSONMaestro streamlines JSON data processing by cleaning and standardizing JSON-like files. It addresses issues like comments, duplicate keys, and missing schema keys, improving data quality for developers working with configuration files and APIs.
AI Summary: Integrate the Google Font 'Cal Sans' into the Inbox Zero application. This involves finding the appropriate CSS selectors within the Next.js/Tailwind CSS application and replacing existing font declarations with the 'Cal Sans' font, ensuring compatibility and responsiveness across different devices.
AI personal assistant for email. Open source app to help you reach inbox zero fast.
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Inbox-zero is an open-source AI-powered personal assistant designed to help users quickly achieve inbox zero. It streamlines email management by leveraging AI to prioritize, categorize, and automate responses, significantly reducing email overload.
AI Summary: Integrate FTC Panels support into the Pedro Pathing library, ensuring compatibility with both FTC Panels and FTCDash, and providing clear instructions for users.
A Reactive Vector-Based Path Follower for FTC Implementations
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PedroPathing is a reactive path-following system designed for First Tech Challenge (FTC) robots. It uses a vector-based approach for precise and adaptable movement, solving the problem of inconsistent robot navigation on uneven or unpredictable terrains.
AI Summary: Remap the controller's 'B' button in the game's menu system. Currently, pressing 'B' exits the menu, likely due to an incorrect binding to `ui_cancel` instead of the intended `menu` event. The task involves identifying the correct event binding and modifying the code to allow remapping of the 'B' button without causing unintended menu exits.
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ProjectFunkEngine is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Delete the outdated 'All Countries' page from the OpenBeta rock climbing catalog application after ensuring its content has been successfully migrated to the new app router.
Rock climbing route catalog (openbeta.io)
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open-tacos is an open-source project mirroring the popular rock climbing route catalog openbeta.io. It aims to provide a freely accessible and community-maintained database of climbing routes, solving the problem of data inaccessibility and potential vendor lock-in. Key features include a comprehensive route database and community contribution capabilities.
NuxtJS template for CodeSandbox Projects
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This project provides a pre-configured NuxtJS template for CodeSandbox, streamlining the creation of new Nuxt projects. It eliminates the need for manual setup, allowing developers to quickly start building Nuxt applications within the CodeSandbox environment.
AI Summary: Implement Dependabot for the echoshader project to automate dependency updates. This involves configuring a Dependabot YAML file similar to the one used in the echopype project, enabling automated security and version updates for the project's dependencies.
Interactive visualization of ocean sonar data
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Echoshader is an interactive visualization tool designed to improve the understanding of ocean sonar data. It allows users to explore complex datasets intuitively, revealing patterns and features that might be missed in traditional methods. Key features include interactive exploration and visualization of sonar data.
AI Summary: Determine the default data retention period for Dragonfly's preheat workflow and whether this period is configurable. This involves reviewing Dragonfly's documentation and potentially its source code to find the relevant settings.
Dragonfly is an open source P2P-based file distribution and image acceleration system. It is hosted by the Cloud Native Computing Foundation (CNCF) as an Incubating Level Project.
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Dragonfly is an open-source, peer-to-peer (P2P) system designed to accelerate image distribution and file delivery. It solves the problem of slow and inefficient content delivery by leveraging the power of a distributed network, reducing bandwidth costs and improving overall performance.
AI Summary: The task is to test an issue related to a financial analysis tool built using Spring Boot, PostgreSQL, and various other technologies. The project involves a dashboard displaying financial index data fetched from external APIs. The testing will likely involve verifying API endpoints related to index information, data, and synchronization, as well as the dashboard's functionality.
가볍고 빠른 외부 API 연동 금융 분석 도구
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sb02-findex-team4 is a lightweight and fast financial analysis tool that leverages external APIs. It solves the problem of slow and cumbersome financial data analysis by providing quick access and processing of external financial data sources.
AI Summary: Design a logo for the "Belajar Tentang Papua" open-source project. The logo should be simple, relevant to the project's goals (providing information about Papua), easily recognizable, and provided in SVG or high-resolution PNG format. The logo should be added to the project's assets folder and the README updated to display it.
Kumpulan informasi sederhana tentang Papua. Dibuat secara kolaboratif dan bersifat open source.
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Belajartentangpapua is an open-source, collaborative project providing easily accessible information about Papua. It aims to address the lack of readily available and understandable information about the region, offering a simple and accessible resource for learning.
AI Summary: Configure the Pydra tutorials to run directly within a Binder environment. This involves updating the tutorial notebooks and adding a 'Launch on Binder' button to each one, allowing users to easily access and execute the tutorials without local installation.
Pydra Dataflow Engine
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Pydra is a dataflow engine designed to simplify the execution and management of complex workflows. It addresses the challenges of reproducibility and scalability in data processing by providing a robust framework for defining, executing, and monitoring pipelines. Key features include modularity, parallel processing capabilities, and integration with various data formats and tools.
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The project 'rottnest' 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 a Helm chart for deploying the Gravitino IRC component independently, allowing users to deploy it separately from the main Gravitino system.
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 light mode toggle alongside the existing dark mode in the Rottnest application. This involves modifying the existing React frontend to allow users to switch between light and dark themes. The change should be user-friendly and integrate seamlessly with the existing design.
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The project 'rottnest' 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 help overlay in a React application built with Vite, Typescript, and Ant Design to guide new users through the UI components of a quantum computer diagramming and architecting tool. This involves designing and implementing interactive elements within the overlay to explain the functionality of various UI sections.
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The project 'rottnest' 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 a keyboard input issue in the Etterna rhythm game on Linux (specifically Fedora 42 with KDE Plasma Wayland). The problem is that while some keys work, letter and numpad keys do not register, and input appears in the terminal instead of the game. The issue might stem from a conflict between Etterna, the KDE Plasma Wayland desktop environment, or a driver issue. Debugging will involve investigating input handling within Etterna's code, potentially examining X11/Wayland interaction, and testing different configurations.
Advanced cross-platform rhythm game focused on keyboard play
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Eterna is an advanced rhythm game designed for keyboard players, offering a challenging and engaging experience across multiple platforms. It focuses on precise timing and complex patterns, providing a unique and rewarding gameplay experience for rhythm game enthusiasts.
AI Summary: Create a `score-k8s` provisioner example demonstrating the integration with Cloud Native PostgreSQL (CNPG), leveraging the provided CNPG documentation links for setup and application integration. This likely involves creating a new provisioner YAML file that utilizes CNPG as a database and integrating it with other existing `score-k8s` provisioners (e.g., Dapr for pub/sub).
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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: Initialize a new Solidity smart contract project using Foundry, structuring it with directories for contracts, tests, and deployment scripts. Configure the `foundry.toml` file and verify basic Foundry commands (compile, test) work correctly.
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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: Migrate a project from an old Git repository to a new one. This involved creating a new repository, manually transferring validated files to avoid corrupted history, and using git cherry-pick for essential commits. The team planned the migration strategy and assigned tasks for the file transfer.
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The project, Group47-CITS5505, lacks a provided description or 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 extending the existing PACT Adapter MVP to support a new platform (e.g., Intercom, Zendesk) by creating a new adapter module. This includes mapping PACT-standardized intent messages to the target platform's message format, documenting example requests/responses, and potentially handling platform-specific nuances.
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The `pact_adapter_mvp` project is a minimal viable product (MVP) designed to address the problem of adapting PACT contracts for different systems or environments. It likely provides core functionality for translating or transforming PACT contracts, enabling interoperability between services. Further details on specific features are unavailable without additional project information.
AI Summary: Implement a dynamic intent mapping registry for the PACT adapter, replacing the current static dictionary with a configurable JSON, YAML, or SQLite database. This will allow adding new intents without code changes, requiring the design of the registry structure, its loading during app startup, and graceful handling of missing mappings.
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The `pact_adapter_mvp` project is a minimal viable product (MVP) designed to address the problem of adapting PACT contracts for different systems or environments. It likely provides core functionality for translating or transforming PACT contracts, enabling interoperability between services. Further details on specific features are unavailable without additional project information.
AI Summary: Enhance the `/translate` API endpoint of the PACT adapter by implementing strict schema validation using Pydantic models, returning informative HTTP 422 error messages for invalid input, and updating the Postman collection examples to reflect these changes. This improves the robustness and user experience of the API.
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The `pact_adapter_mvp` project is a minimal viable product (MVP) designed to address the problem of adapting PACT contracts for different systems or environments. It likely provides core functionality for translating or transforming PACT contracts, enabling interoperability between services. Further details on specific features are unavailable without additional project information.
AI Summary: Integrate a basic semantic intent matcher into the PACT adapter. This involves encoding intents using embeddings (e.g., Sentence Transformers, OpenAI embeddings), performing cosine similarity searches to find the best matching intent when an exact match is unavailable, and defining a minimum similarity threshold for acceptance. The goal is to improve the system's resilience when handling free-text input or unknown intents.
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The `pact_adapter_mvp` project is a minimal viable product (MVP) designed to address the problem of adapting PACT contracts for different systems or environments. It likely provides core functionality for translating or transforming PACT contracts, enabling interoperability between services. Further details on specific features are unavailable without additional project information.
AI Summary: Write unit tests using Pytest for the FastAPI `/translate` endpoint of the PACT adapter. Tests should cover successful translation with valid input, error handling for missing fields, and fallback behavior for unknown intents.
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The `pact_adapter_mvp` project is a minimal viable product (MVP) designed to address the problem of adapting PACT contracts for different systems or environments. It likely provides core functionality for translating or transforming PACT contracts, enabling interoperability between services. Further details on specific features are unavailable without additional project information.
AI Summary: Create a new provisioner for `score-compose` that generates a Docker Compose configuration for the Docker Model Runner, allowing users to easily integrate AI models into their applications. This involves understanding the Docker Model Runner's configuration and integrating it into the existing `score-compose` provisioner framework.
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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: Document the Spark SQL configurations for Apache Iceberg, including those found in `SparkSQLProperties.java`, within the existing Spark configuration documentation. The documentation should also clarify the precedence or fallback rules when configurations are set using read/write options, table properties, or Spark SQL configurations.
Apache Iceberg
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Apache Iceberg solves the challenges of managing large analytical datasets by providing a highly scalable, open table format. Key features include schema evolution, hidden partitioning, and time travel capabilities, enabling efficient data management and query performance.
AI Summary: The user is experiencing a 404 error when importing a '.json' model in their CMDB configuration. The issue likely stems from a misconfiguration in their Nginx setup, specifically how it handles requests to the backend API (/api) and the frontend UI (root). The task involves debugging the Nginx configuration to correctly route requests to the backend API (running on 192.32.239.155:5000) and ensure the frontend can properly access the API and serve the UI.
CMDB: configuration and management of IT resources
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The cmdb project addresses the challenge of managing IT resources by providing a centralized configuration management database (CMDB). Key features include tracking and managing IT assets, relationships, and configurations, improving IT operations efficiency and reducing downtime.
AI Summary: Migrate the existing Next.js page `/a/[[...slug]].tsx` responsible for displaying a list of countries to the new app directory's router. This involves refactoring the page's code to comply with the app router's structure and conventions, as outlined in the Next.js app router migration guide.
Rock climbing route catalog (openbeta.io)
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open-tacos is an open-source project mirroring the popular rock climbing route catalog openbeta.io. It aims to provide a freely accessible and community-maintained database of climbing routes, solving the problem of data inaccessibility and potential vendor lock-in. Key features include a comprehensive route database and community contribution capabilities.
AI Summary: The task is to remove the custom `greatest` and `least` user-defined functions (UDFs) from the Spice project's codebase because DataFusion v45 now includes built-in versions of these functions. This involves identifying and removing the custom implementations, updating any related tests, and verifying the functionality with the built-in functions.
A portable accelerated data query and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
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Spiceai is a high-performance, portable engine built in Rust that accelerates data queries and large language model (LLM) inference. It solves the problem of slow data access and LLM processing in data-grounded AI applications and agents by providing a fast and efficient solution for integrating these components.
AI Summary: Address all linting errors identified by a new linter in the minikube project, as detailed in pull request #20482. This involves reviewing and fixing code style violations to meet the updated linting standards.
Run Kubernetes locally
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Minikube solves the problem of needing a local Kubernetes cluster for development and testing. It provides a lightweight, easy-to-use virtual machine that runs a single-node Kubernetes cluster on your laptop, enabling developers to quickly test and iterate on Kubernetes applications without needing a cloud environment.
AI Summary: The task is to adjust the font color of green boxes in the Checkmate application's infrastructure and uptime monitors. Currently, the infrastructure monitor uses a darker font color in green boxes, while the uptime monitor uses a lighter font color. The goal is to make both monitors consistent by using the lighter font color in all green boxes.
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations.
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Checkmate is an open-source, self-hosted monitoring tool that addresses the need for real-time tracking of server hardware health, uptime, and response times. Its key features include incident tracking and visually appealing dashboards for easy monitoring and analysis.
AI Summary: Improve the Hive catalog timestamp datatype transformation logic in Apache Gravitino to correctly handle timestamp with timezone types. The current implementation incorrectly converts all Gravitino timestamp types to Hive timestamp without timezone, leading to data loss or inconsistencies. The task involves modifying the `HiveDataTypeConverter` to either throw an exception for timestamp with timezone types or implement a more accurate conversion strategy.
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.
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The project's purpose and key features are undefined due to missing project description and README. Without further information, a concise summary cannot be provided.
AI Summary: Enhance the project's Continuous Integration (CI) pipeline to demonstrate successful builds across Linux, Windows, and macOS platforms. This involves configuring the CI system (likely using a tool like GitHub Actions or GitLab CI) to run the build process on virtual machines representing each target operating system. The goal is to create a self-documenting CI process that visually confirms successful builds on multiple platforms.
Coding Guidelines for Safety Critical Rust developed by the Safety Critical Rust Consortium.
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The safety-critical-rust-coding-guidelines project provides best practices for writing safe and reliable Rust code in safety-critical systems. It addresses the challenges of ensuring correctness and preventing vulnerabilities in high-stakes applications by offering specific coding guidelines developed by the Safety Critical Rust Consortium.
AI Summary: Optimize the performance of an image analysis workflow by implementing client-side image compression, adding loading states and progress indicators, optimizing API calls to reduce latency, and caching analysis results to prevent redundant processing.
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Project2-SightEd's purpose and key features are currently undefined due to missing project description and README. Further information is needed to provide a concise summary of its problem-solving capabilities and functionality.
AI Summary: Enhance the CircuitPython GT911 touchscreen driver to improve API compatibility with the Adafruit Focal Touch API. This involves adding a `touched` boolean property indicating if any touches are detected and implementing string indexing ('x', 'y', 'z') for touch coordinates within the `touches` tuple, mirroring the Focal Touch API's functionality. This will make the GT911 driver more user-friendly and interchangeable with existing Focal Touch code.
CircuitPython driver for GT911-based touchscreens.
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The CircuitPython_GT911 project provides a driver for GT911 touchscreens, enabling easy integration of these touchscreens into CircuitPython projects. This solves the problem of lacking readily available and user-friendly drivers for this popular touchscreen controller, simplifying the development process for projects requiring touch input.
AI Summary: The task is to update the `service_test.go` file in the minikube project to use the `discoveryv1.EndpointSlice` API instead of the deprecated `core.Endpoints` API. This involves refactoring code to utilize the newer API for managing Kubernetes endpoints, addressing static analysis warnings related to deprecated APIs.
Run Kubernetes locally
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Minikube solves the problem of needing a local Kubernetes cluster for development and testing. It provides a lightweight, easy-to-use virtual machine that runs a single-node Kubernetes cluster on your laptop, enabling developers to quickly test and iterate on Kubernetes applications without needing a cloud environment.
AI Summary: Fix two minor UI issues in the Checkmate infrastructure monitoring section: correct the display of single CPU cores ('1 core' instead of '1 cores') and add the degree symbol to Celsius values (°C).
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations.
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Checkmate is an open-source, self-hosted monitoring tool that addresses the need for real-time tracking of server hardware health, uptime, and response times. Its key features include incident tracking and visually appealing dashboards for easy monitoring and analysis.
AI Summary: Fix a bug in the DNN Community Forums module where moderators cannot access attachments in unapproved topics. The issue stems from a SQL query that filters out unapproved topics, preventing moderators from reviewing attachments before approval. The solution likely involves modifying the `activeforums_Attachments_Get` stored procedure or the `vw_activeforums_TopicView` view to allow moderators access to attachments regardless of approval status.
Open-source forums module for DNN Platform. This is a fork and continuance of the Active Forums module.
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Dnn.CommunityForums is an open-source forums module for the DNN platform, providing a community forum solution. It's a continuation of the Active Forums module, offering enhanced features and ongoing maintenance for DNN users needing robust forum functionality.
AI Summary: Integrate the existing code examples from the `examples` directory into the project's VitePress documentation site using VitePress's code snippet import functionality. This will improve the documentation by providing readily accessible and well-formatted code examples for users.
A small TypeScript library for designing models with built-in validity.
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self-assert is a TypeScript library that simplifies creating data models with automatic validation. It solves the problem of ensuring data integrity by embedding validation rules directly within the model definition, eliminating the need for separate validation functions.
AI Summary: Modify the pwndbg test suite's `tests.sh` script to improve the output when the `--cov` flag (for code coverage) is used. Specifically, the script should display the overall code coverage at the end of the test run and remove the redundant "Running with coverage" message printed before each individual test.
Exploit Development and Reverse Engineering with GDB & LLDB Made Easy
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pwndbg simplifies exploit development and reverse engineering by extending GDB and LLDB with powerful commands and features. It streamlines debugging processes, providing enhanced visualization and automation for tasks like memory analysis and vulnerability exploitation.
AI Summary: Implement a GitHub Actions workflow that runs lightweight end-to-end tests on pull requests for the kubectl-ai project. This involves setting up a Kind Kubernetes cluster and an LLM server (Ollama or Llama.cpp), then executing easy-level evaluation tasks using the k8s-bench framework, focusing initially on scaling tasks. Finally, update the README with contributing guidelines for using this new pre-submit job.
AI powered Kubernetes Assistant
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kubectl-ai is an AI-powered assistant designed to simplify Kubernetes management. It addresses the complexity of Kubernetes by providing intelligent suggestions and automation, making it easier for users of all skill levels to manage their clusters.
AI Summary: Implement a NestJS API endpoint (`GET /games/slug/:slug`) that retrieves a game by its slug, including its associated categories from a PostgreSQL database. The endpoint should handle cases where the game is not found, returning a 404 error. The response should be JSON formatted as specified.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Implement a DELETE endpoint in a NestJS backend to allow only admin users to delete a game by its ID. The endpoint should handle invalid IDs (404), unauthorized users (403), and successful deletions (200). Unit and e2e tests are required. Optional bonus features include soft delete and audit logging.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Set up translations for the Bluefin documentation using Crowdin, as per the provided Docusaurus documentation link. This involves configuring Crowdin integration within the existing documentation workflow.
Bluefin Documentation
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The bluefin-docs project aims to provide comprehensive documentation for the Bluefin system. It likely addresses the need for clear and accessible information on Bluefin's features and functionality, improving user understanding and support.
AI Summary: The task involves investigating a single broken link (https://www.bancotopazio.com.br/) reported by a link checker in a GitHub repository containing a list of Brazilian banks. The goal is to determine why the link is returning a 403 Forbidden error and potentially update the repository accordingly.
🇧🇷 🏦 📋 Brazilian banks list
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BancosBrasileiros is a project providing a list of Brazilian banks. It solves the problem of needing a readily accessible, centralized resource for finding information about Brazilian banking institutions. Key features include a comprehensive list of banks and potentially additional details (depending on further development).
AI Summary: Extend the existing Docker Compose setup to include a second SQL Server instance, then implement and test the linked server functionality within the DbLocator library. This involves modifying the Docker Compose file, adding scripts to create the linked server connection, and updating the test suite to verify cross-server queries.
.NET Library for Multi-Tenant SQL Server connection management
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DbLocator is a .NET library simplifying multi-tenant SQL Server connection management. It solves the problem of efficiently managing connections to different databases based on tenant identifiers, improving application scalability and maintainability.
AI Summary: The task involves cleaning up unused code from a previous spinner implementation within the Better Made Tech project. This includes removing deprecated functions, unused variables, and reorganizing the code for improved maintainability and reduced technical debt. The project is a monorepo using Turborepo, with multiple applications (Chrome extension, web app, documentation site) and shared packages.
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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, features, or problem it solves.
Lightweight AI-Powered Auto Labeling Tool — Fast, Intelligent, and Designed for Seamless Annotation
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Vailabel-studio is a lightweight AI-powered tool that accelerates data annotation by automating the labeling process. Its intelligent features enable fast and seamless annotation, significantly reducing the time and effort required for training machine learning models.
AI Summary: Debug a bug in a Next.js-based image labeling tool where the ruler guides are misaligned when enabled. The issue involves correcting the positioning logic of the drawing canvas's ruler feature based on provided screenshots showing the misalignment.
Lightweight AI-Powered Auto Labeling Tool — Fast, Intelligent, and Designed for Seamless Annotation
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Vailabel-studio is a lightweight AI-powered tool that accelerates data annotation by automating the labeling process. Its intelligent features enable fast and seamless annotation, significantly reducing the time and effort required for training machine learning models.
AI Summary: The task is to implement online multiplayer functionality for the gbajs3 Game Boy Advance emulator. This would involve significant backend and frontend development, including designing a networking architecture, handling game synchronization, and potentially integrating a matchmaking system. The existing project uses a Golang server, Postgres database, and a client-side JavaScript interface, all of which would need to be adapted to support multiplayer.
Gbajs3 is a full Game Boy Advance emulator online in the browser supporting the mGBA WASM core. It is freely licensed and works in any modern browser.
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gbajs3 is a free, online Game Boy Advance emulator running in modern web browsers. It leverages the mGBA WASM core for accurate emulation and is easily accessible without requiring downloads or installations.
AI Summary: Add a ranking column to a React dashboard's ngram list table. The column should be positioned to the left of the existing 'ngram' column, as shown in the provided image examples. This involves modifying the existing React component responsible for rendering the table.
An interactive python terminal UI wrapper for mango tree analyzers
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mango-tango-cli provides an interactive command-line interface for using mango tree analyzers, simplifying the process of analyzing data within a user-friendly Python terminal environment. It enhances usability by offering a more intuitive and accessible way to interact with these analyzers compared to traditional command-line tools.
AI Summary: Add a pre-commit hook using `dotnet format` to automatically format code before commits and update the CONTRIBUTING.md file with installation instructions for the pre-commit tool.
This repository is for development of the Azure MCP Server, bringing the power of Azure to your agents.
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The azure-mcp project develops an Azure MCP Server, extending Azure's capabilities to agents. It solves the problem of limited agent access to Azure resources by providing a server-side solution for managing and interacting with Azure services.
AI Summary: Implement rate limiting and security headers in a Node.js Express API using `express-rate-limit` and `helmet`. This involves installing the necessary packages, creating a middleware to handle both, integrating and testing the middleware, and updating the README with documentation of the new security features. The rate limit should be 100 requests per 15 minutes per IP, returning a 429 response when exceeded.
Uma API para integrar e interagir facilmente com modelos de inteligência artificial hospedados em Spaces do Hugging Face, utilizando o Gradio Client.
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gradio-ai-api simplifies interaction with Hugging Face Spaces AI models. It provides an easy-to-use API leveraging the Gradio client, enabling seamless integration of AI models into other applications.
AI Summary: Implement a feature in the Refly AI-native creation engine that automatically detects and extracts related links from a URL when a user uploads it as a resource. This should improve the user experience, especially for users working with academic papers or research projects that involve multiple linked references.
🎨 Refly is an open-source AI-native creation engine. Its intuitive free-form canvas interface combines multi-threaded dialogues, artifacts, AI knowledge base integration, chrome extension clip & save, contextual memory, intelligent search, WYSIWYG AI editor and more, empowering you to effortlessly transform ideas into production-ready content.
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Refly is an open-source AI creation engine solving the problem of inefficient content creation. Its key features include a free-form canvas, AI knowledge base integration, and a WYSIWYG AI editor, enabling users to quickly transform ideas into finished products.
AI Summary: Implement a GET /game-categories endpoint in a NestJS application to retrieve a list of game categories from a PostgreSQL database, ordered alphabetically by name. The endpoint should handle cases where no categories exist and include comprehensive unit tests.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Design the Streamlit user interface for a fall detection and notification system targeting vulnerable individuals (elderly, children). This involves studying existing Streamlit examples and creating a basic UI layout.
배려대상자(노인, 아이 등) 낙상 감지 및 알림 시스템
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guardFall is a fall detection and notification system designed to protect vulnerable individuals, such as the elderly and children. It detects falls and immediately alerts caregivers or emergency contacts, preventing potential injuries and providing timely assistance.
AI Summary: The PlumeFeatherWings (PFW) ERC20 token deployment is failing on the second transaction, specifically the token contract deployment, after successfully deploying a library (IterableMapping). The task requires debugging the Solidity smart contract code to identify and fix the issue preventing the successful deployment of the PFWToken contract. This likely involves examining the contract's constructor, dependencies, and interactions with the IterableMapping library.
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PlumeFeatherWings 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: Implement a PATCH endpoint in a NestJS application to update existing game data. This endpoint should only be accessible to authenticated admin users and include input validation and error handling. The backend uses PostgreSQL.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Implement a POST endpoint in a NestJS application to recalculate game statistics (total puzzles and points) for a given game ID. The endpoint should only be accessible to admin users, validate game existence, efficiently recalculate stats, update the database, and return appropriate responses. Unit and integration tests are required. Optional enhancements include emitting an event after recalculation and adding log entries.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Implement a PATCH API endpoint for updating existing game categories in a NestJS application. The endpoint should accept a JSON payload to update category details (name, description, image, etc.), enforce admin authorization, handle errors gracefully, and include thorough testing and documentation.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Implement a GET /puzzles endpoint in a NestJS application using PostgreSQL. The endpoint should retrieve all puzzles, optionally filtered by gameId, difficulty, limit, and offset. Error handling and pagination are required, and the response should be a JSON array of puzzles.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Create a Unity project and add it to the EBAC class repository. The current repository lacks a Unity project, as indicated by the issue.
repositorio para la clase de EBAC
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Repositorioclaseebac is a repository designed for the EBAC class. It serves as a central location for course materials, assignments, and collaborative projects, streamlining access and organization for students.
AI Summary: Remove redundant radio buttons from the 'Random Forest' and 'Deep Learning' sections of a GUI, leaving the 'Synthetic' and 'Live Data' radio buttons intact. The change is based on the existing visual indicator (yellow highlighting) that already shows the active machine learning model.
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The Avatar project lacks a description and README, making it impossible to summarize its problem-solving capabilities and key features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a resizable and collapsable file explorer for a note-taking application built with SvelteKit, TailwindCSS, and TipTap. The explorer should persist its size (likely as a percentage of screen width) across sessions. Mobile responsiveness should be considered, potentially using a full-screen approach on smaller devices.
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The project 'temp_notes' lacks a description and README, making its purpose and features unclear. Without further information, it's impossible to determine what problem it solves or its key functionalities.
AI Summary: Implement proper exception handling in a Spring-based web application (likely using STS and Github for development and version control). The exception handling should propagate from the DAO layer through the Service and Controller layers, ultimately being caught and handled appropriately (e.g., returning user-friendly error messages) in a higher level.
STS(eclipse)와Github를 연동해서 게시판을 만드는 프로젝트
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SpringBoardNew6 is a project that utilizes STS (Eclipse) and GitHub to create a bulletin board system. It solves the problem of needing a simple, easily deployable online forum, leveraging the power of established development tools and version control.
AI Summary: The task involves enhancing the `linker-diff` tool to compare program segment alignments, specifically addressing a discrepancy between Wild and GNU ld in the alignment of the `GNU_STACK` segment. This requires creating a function to extract segment properties (like alignment) from a binary, adding a test to highlight the difference, and potentially updating ignore rules before finally fixing the alignment issue in Wild.
A very fast linker for Linux
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Wild is a high-performance linker designed for Linux systems, addressing the performance bottlenecks often encountered in traditional linking processes. Its key feature is significantly faster linking speeds, improving build times for large and complex projects.
AI Summary: Implement placeholder text (hint text) in various input fields and empty note views throughout the Temp Notes application. This includes empty file name inputs during creation and renaming, and empty note views when a new note is opened or an existing empty note is loaded.
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The project 'temp_notes' lacks a description and README, making its purpose and features unclear. Without further information, it's impossible to determine what problem it solves or its key functionalities.
AI Summary: Implement hyperlink functionality in the Temp Notes application. This involves adding the capability to create, edit, and display hyperlinks within the TipTap rich text editor, ensuring proper rendering and functionality.
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The project 'temp_notes' lacks a description and README, making its purpose and features unclear. Without further information, it's impossible to determine what problem it solves or its key functionalities.
AI Summary: Implement a new file import feature in Graphite, a 2D vector and raster editor. This feature should allow users to import multiple images at once. If no document is open, it should create a new document for each image. If a document is open, it should allow users to place imported images using their cursor, with a drag-and-drop interface for precise placement and a thumbnail preview.
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 manipulation of layers, offering greater flexibility and control over the creative process.
AI Summary: Create a speaker section on a webpage or application, likely involving design and implementation based on the provided image. The task requires incorporating speaker information, potentially including images and biographies, into the existing project.
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The lima-devopsdays-web project is missing 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: Resolve a dependency conflict in the `harper-comments` crate by ensuring consistent versions of the `tree-sitter` crate across all dependencies. This involves investigating the dependency tree, identifying the conflicting versions, and potentially updating or specifying versions in the `Cargo.toml` file to achieve compatibility. The solution must avoid breaking the compilation of the main `harper` project.
The Grammar Checker for Developers
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Harper is a grammar checker specifically designed for developers, addressing the common issue of poor code documentation and communication. It helps improve code readability and maintainability by identifying grammatical errors and style inconsistencies in comments, docstrings, and commit messages.
AI Summary: Design a new logo and favicon (SVG format) for a to-do list app. The logo should replace the existing Fresh framework lemon logo. Consider using an emoji as inspiration, potentially a white heavy check mark. The SVG logo will then be used to generate a favicon.
To-Do List App featuring AI Suggestions
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done-zo is a to-do list application designed to improve task management. It leverages AI to suggest tasks and prioritize items, helping users stay organized and productive.
AI Summary: Design and implement relational database models (e.g., User, Comment, Post) for a devotional blogging website using ASP.NET Core. This involves defining tables, relationships, and data structures to support the website's features.
Blogging website to share devotional scriptures and inspiring videos
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Devotional-Blog is a website designed to share inspirational content, solving the need for a centralized platform for devotional scriptures and uplifting videos. Key features include easy access to scripture and video content, likely organized for convenient browsing and sharing.
AI Summary: The user is experiencing a problem where the Alice application window is transparent or invisible after running `npm install`, `npm run dev`, and `npm run build`. The task is to troubleshoot and resolve this visual issue in the Electron.js application, likely involving configuration settings or dependencies.
Alice App is a Vue.js/Electron.js application that provides an interactive AI assistant with voice recognition, text-to-speech, function calling, and image recognition capabilities.
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Alice is a desktop application built with Vue.js and Electron.js that acts as an interactive AI assistant. It offers features such as voice and text interaction, function calling, and image recognition, streamlining various tasks through a single, user-friendly interface.
AI Summary: The task is to create an Activepieces integration piece for copy.ai. This involves defining the actions (e.g., generating text) and triggers (if any) for copy.ai within the Activepieces framework, along with providing API documentation and test account access for contributors to test the integration.
Your friendliest open source AI automation tool ✨ Workflow automation tool 200+ integration / Enterprise automation tool / Zapier Alternative
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Activepieces is an open-source AI-powered workflow automation tool offering 200+ integrations, providing a Zapier alternative for both personal and enterprise use. It solves the problem of automating repetitive tasks across various applications by offering a user-friendly interface and extensive integration capabilities.
AI Summary: Determine if the JeecgBoot framework (version 3.8.0) supports large file downloads, specifically with resume capabilities (breakpoint continuation). If not, assess the feasibility of adding this functionality.
🔥「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x,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! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE,帮助Java项目解决80%重复工作,让开发更关注业务,提高开发效率、节省成本,同时又不失灵活性
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JeecgBoot is an AI-powered low-code platform that solves the problem of repetitive coding in Java projects. Its key features include a powerful code generator for both front-end and back-end, enabling one-click code generation and significantly improving development efficiency by automating 80% of repetitive tasks.
AI Summary: Debug and resolve an OutOfMemoryError occurring during Spark ML model training on a large dataset (8GB). The error happens when using `spark.read.delta()` to load data and subsequently applying a preprocessing pipeline (string indexing, one-hot encoding, vector assembler, standard scaler) before training a Random Forest model. The solution requires optimizing Spark's memory usage, potentially by adjusting partition sizes, increasing executor memory, or optimizing the ML pipeline.
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The github-realtime-issue-tracker project aims to provide a real-time view of GitHub issues, eliminating the need for constant manual refreshes. Key features would likely include immediate updates on issue creation, assignment, and status changes, offering enhanced project management and collaboration.
AI Summary: The task involves fixing a single trailing whitespace error in the `README.md` file of the `@stdlib/function/ctor` package within the stdlib project, as detected by an EditorConfig linter. This requires locating the error on line 194 of the file and removing the trailing whitespace.
✨ 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: Create a guide on configuring Gmail SMTP with XOauth2 for outgoing mail. This guide should address the recent changes Google implemented, specifically the deprecation of plaintext authentication, and provide clear instructions for users experiencing issues setting up SMTP with their existing Gmail accounts.
Cerb project website
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The cerb.github.io project is a website showcasing the Cerb project, which likely solves a problem related to security or access control (details unavailable from provided context). Key features are not specified without access to the website's content.
AI Summary: Implement a push notification system for the 'storm' platform to alert subscribed users when a new action is created. The initial implementation should send notifications to all subscribers; future iterations can incorporate more granular subscription options based on tags and admin roles.
a platform to conduct crowdsourced digital action campaigns.
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Storm is a platform designed to streamline and amplify the impact of crowdsourced digital action campaigns. It provides tools for organizing, managing, and tracking participant engagement, enabling efficient mobilization of online activism.
AI Summary: Debug and fix an issue where the receipt thumbnail in the Expensify app doesn't update after a new receipt is attached. The bug is reproducible on Windows Chrome, MacOS Chrome/Safari, and potentially other platforms. The task involves investigating the codebase (likely React Native), identifying the root cause of the stale thumbnail, and implementing a fix that ensures the thumbnail updates correctly after a receipt replacement.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: The task requires creating a Docker image for the Huntarr application that is compatible with ARMv7 architecture, specifically for Raspberry Pi 4. This involves modifying the existing build process to include an ARMv7 build target and potentially adjusting the application's dependencies to ensure compatibility with the Pi 4's resources.
A specialized utility that automates discovering missing and upgrading your media collection!
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Huntarr.io automates the process of finding missing media files and updating your collection to the latest versions. It simplifies media management by identifying gaps and ensuring your library is complete and up-to-date.
AI Summary: Implement functionality to automatically load the last opened workspace on application startup. This involves saving the workspace path to a user-specific application data folder (e.g., %APPDATA% on Windows) and loading that path on application initialization.
Seederly is a modern API tester, but smarter. It lets you create, test, and send HTTP requests while automatically generating realistic, structured, and schema-based fake data, with none of that AI bloat.
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Seederly is an API testing tool that streamlines the process of creating and testing HTTP requests. It solves the problem of needing to manually generate test data by automatically producing realistic, structured, and schema-based fake data, eliminating unnecessary complexity and avoiding the overhead of AI-based solutions.
AI Summary: Remove a redundant backend function ('take a break') that is no longer used after its frontend counterpart was removed in issue #226. This involves locating and deleting the corresponding backend route and potentially related code.
An all-in-one hackathon judging platform, created with modern technologies aimed at optimizing the user experience of hackers, judges, and organizers.
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Jury is a comprehensive hackathon judging platform designed to streamline the judging process for hackers, judges, and organizers. It leverages modern technologies to improve user experience and efficiency, offering a centralized system for project submissions, evaluation, and feedback.
AI Summary: The issue is with a Home Assistant integration for Hubspace devices. A fan is not working, and the debug logs show multiple connection errors and an `AttributeError` related to `FanEntityFeature.TURN_ON`. The task requires investigating the root cause of the fan malfunction, likely involving debugging the Hubspace integration code, resolving network connectivity issues indicated in the logs, and potentially updating the integration to address the `AttributeError`. This may involve examining the Hubspace API responses and the integration's handling of fan-specific features.
Hubspace Integration for Home Assistant
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Hubspace-Homeassistant integrates the Hubspace smart home platform with Home Assistant, allowing users to control Hubspace devices and access their data within the Home Assistant ecosystem. This provides a centralized control point for all smart home devices, regardless of platform, enhancing home automation capabilities and user experience.
AI Summary: The user needs to determine how to provide Zoraxy's live logs to Crowdsec for security analysis. This likely involves configuring Zoraxy to output logs in a real-time format compatible with Crowdsec, or potentially using a log aggregator as an intermediary.
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: Update the kagent website's documentation on configuring providers. This involves updating the list of supported providers and removing a link to a closed issue, replacing it with a link to an active, relevant issue.
kagent website and documentation | Join Discord: https://bit.ly/kagentdiscord
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This project is a website for kagent, providing documentation and a community Discord server. It aims to improve user understanding and support for the kagent tool, solving the problem of accessibility to information and community engagement.
AI Summary: The task is to investigate and potentially change the error response of the Omicron DNS server when it receives a query for an unknown zone. Currently, it returns SERVFAIL, but the issue suggests that REFUSED would be a more accurate and appropriate response according to RFC 1035. The change would involve modifying the `dns-server` crate's error handling to map `QueryError::NoZone` to `RequestError::Refused` instead of `RequestError::ServFail`. The impact and necessity of this change should be carefully considered, as SERVFAIL might be useful for indicating broader server issues.
Omicron: Oxide control plane
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Omicron is an oxide control plane designed to manage and control oxide-based systems. It addresses the challenges of complex oxide system administration by providing a centralized platform for configuration, monitoring, and automation.
AI Summary: Debug and fix a null pointer exception in the Apache Arrow Java implementation's `CompositeJdbcConsumer::consume` function. The exception occurs when `vector.getMinorType().getType()` throws an exception because `getType()` returns null for certain types like DECIMAL. The solution likely involves adding null checks or handling the null return value appropriately within the `getType()` method or its callers.
Official Java implementation of Apache Arrow
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Apache Arrow-Java provides a Java implementation of the Apache Arrow columnar memory format, enabling efficient data exchange and processing between Java applications and other systems using Arrow. Key features include in-memory columnar data structures, optimized vectorized operations, and integration with various data processing frameworks.
AI Summary: Remove all links to 4guysfromrolla.com from the legacy ASP.NET documentation repository (dotnet/AspNetDocs). This involves identifying and updating links within the specified ASP.NET Web Forms documentation article and potentially others.
Documentation for ASP.NET Core
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AspNetCore.Docs provides comprehensive documentation for ASP.NET Core, addressing the need for clear and up-to-date information on building web applications with this framework. It offers tutorials, API references, and how-to guides to assist developers of all skill levels.
AI Summary: Design and develop HTML for seven web pages: a login page, a home page, an approval page, a process tracking page, and three more unspecified pages. This involves using HTML, CSS, and JavaScript, and will be managed using Scrum/Kanban methodologies.
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Project_Toyota lacks a description and README, preventing a detailed summary. Without further information, its purpose and features remain unknown. More context is needed to understand the project's goals and functionality.
AI Summary: Implement support for AsciiMath and LaTeX math equations within the asciidoctor-dita-topic extension. This involves parsing AsciiDoc's STEM blocks containing equations and converting them into a DITA-compatible format, removing the current 'STEM support not implemented' warning. Thorough testing is required to ensure compatibility and accuracy.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Ensure that when a user clicks the 'show info' button for a board game group, the group's information is fully visible within the viewport. If the information exceeds the screen height, scroll to make the group title near the top or leave a small margin at the bottom if it fits.
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DMVBoardGames is a project whose purpose is currently undefined due to missing project description and README. Therefore, no problem solved or key features can be identified.
AI Summary: Investigate and fix a bug in the Mastra framework where telemetry is not enabled when using `mastra build` to start the server. The issue is that the command to import the instrumentation module (`--import . /.mastra/output/instrumentation.mjs`) is not automatically applied after the build process. The solution might involve modifying the build process or documentation to correctly enable telemetry.
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 the creation of assistants and RAG systems with observability features. It supports various LLMs like GPT-4, Claude, Gemini, and Llama, offering flexibility and broad compatibility.
AI Summary: Create API tests for version #1 of a program. The provided project information and README are likely to be helpful in understanding the API's functionality and expected behavior.
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Project testproject02 lacks a description and README, making it impossible to summarize its problem or key features. Further information is needed to provide a meaningful summary.
AI Summary: The task involves modifying the `get_admin` method in the KindFi reputation contract's `ReputationStorage` to return an `Option<Address>` instead of unwrapping the result directly. This change aims to improve error handling and prevent potential runtime panics by handling the case where the admin key is not found. The calling code will need to be updated to handle the `Option` return type.
KindFi is an open-source Web3 crowdfunding platform built on Stellar. Featuring milestone-based escrows, transparent transactions, gamified engagement, and AI-driven tools. **Development Guide:** https://kindfis-organization.gitbook.io/development
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KindFi is an open-source Web3 crowdfunding platform leveraging Stellar's blockchain to solve the challenges of trust and transparency in fundraising. Key features include milestone-based escrows, ensuring funds are released only upon project completion, and gamified engagement to boost community participation.
AI Summary: Rewrite the existing Rubber Ducky application, a structured problem-solving tool, using React and Vite. This involves migrating all existing functionality (QUACK framework, diagramming canvas, local storage persistence) to the new framework, while potentially improving the UI/UX.
Digital rubber ducky.
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Rubberducky is a digital debugging tool simulating the 'rubber duck debugging' technique. It provides a virtual space to explain code line-by-line, aiding in identifying logic errors and improving code understanding. This helps developers improve their problem-solving skills and write cleaner, more efficient code.
AI Summary: Modify the Iris Roblox GUI library's initialization function (`Iris.Init()`) to return early if called multiple times instead of throwing an error. This change should prevent unnecessary errors without altering existing functionality.
Iris is an Immediate-Mode GUI Library for Roblox for creating debug and visualisation UI and tools and based on Dear ImGui.
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Iris is a Roblox GUI library built on Dear ImGui, addressing the need for easily creating immediate-mode debug and visualization tools within the Roblox environment. It provides a fast and flexible way to build interactive UIs without the overhead of traditional declarative approaches.
AI Summary: Resolve all linting warnings reported by `just lint` in the Chakra project's codebase. This involves running the linter, identifying the warnings, and making the necessary code changes to address them.
Run WebAssembly instantly in your browser with a single command.
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Chakra streamlines WebAssembly execution in browsers, eliminating complex setup. It allows developers to run WASM code instantly with a single command, simplifying the development workflow and reducing deployment friction.
AI Summary: Modify the Checkmate frontend to conditionally render the certificate expiry box. The box should only be displayed for HTTPS monitors, and hidden for other monitor types (Docker, Ping, Port, HTTP). This involves updating the UI logic to check the monitor type before rendering the element.
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations.
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Checkmate is an open-source, self-hosted monitoring tool that addresses the need for real-time tracking of server hardware health, uptime, and response times. Its key features include incident tracking and visually appealing dashboards for easy monitoring and analysis.
AI Summary: Optimize the Martin project's CI workflow to run only when necessary. This involves modifying the CI configuration to trigger jobs only upon relevant code changes, while maintaining a single job that aggregates the results and determines the overall success or failure of the build. The goal is to improve efficiency and reduce unnecessary CI runs.
Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server, tile generation, and mbtiles tooling.
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Martin is a high-performance tile server supporting PostGIS, MBTiles, and PMTiles formats. It addresses the need for fast and efficient tile generation and serving, offering lightweight tooling for improved map data management.
AI Summary: Debug a SIGBUS signal occurring on macOS (x86_64/aarch64-apple-darwin) targets within the `closure_ffi` Rust crate, which provides wrappers for passing closures as function pointers. The issue is likely related to memory management or platform-specific ABI incompatibilities, and debugging will be challenging due to lack of access to a macOS environment.
Pass rust closures as regular function pointers
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The closure-ffi project addresses the challenge of passing Rust closures to C code by enabling their representation as standard function pointers. This allows seamless interoperability between Rust and C, facilitating the use of Rust closures within C-based systems. Key features include safe and efficient conversion of closures to function pointers.
AI Summary: Review a WordPress HelpHub article and identify all images lacking ALT attributes. Document the location of these images within the article and request a review once complete. This involves manual checking of images and using provided resources for guidance.
Issue Tracker for the WordPress Documentation team.
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The Documentation-Issue-Tracker is a dedicated issue tracking system for the WordPress Documentation team. It streamlines the process of managing and resolving documentation-related issues, improving efficiency and collaboration.
AI Summary: Implement music play/pause functionality within the collapsed navigation bar of the Nounspace web client. This involves updating the music thumbnail to be square in the collapsed state, displaying appropriate play/pause icons, and ensuring correct music playback/pause actions upon icon clicks.
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 transactions. Key features likely include browsing Nouns, viewing ownership information, and potentially participating in governance.
New Needs Assessment solution that we’re currently working on
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The needs-assessment-v2 project addresses the need for a more efficient and effective needs assessment solution. It offers a new approach to identifying and prioritizing needs, streamlining the process and improving outcomes.
AI Summary: Review and update the robots.txt file for bts-crew.com to allow search engine crawlers (like Google) access to the site's content and meta tags, improving the website's search engine presence and description in search results. This involves determining which crawlers to allow and which resources they should access.
The starting place for anything related to the website.
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The 'hub' project serves as a central access point for all website-related resources. It aims to streamline access to information and tools, improving efficiency and organization for website management.
AI Summary: Update the styling of the subtitle "create and share protocols" on the Home tab of the Rossi Notes iOS app. The goal is to improve its appearance, potentially using multi-line centering.
A collaborative full CRUD notes app specifically designed to track dog protocols.
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Rossi-Notes is a collaborative note-taking application providing full CRUD (Create, Read, Update, Delete) functionality. It specifically addresses the need for efficient tracking and management of dog protocols, streamlining workflows for veterinary professionals or dog owners.
AI Summary: Add a dynamically updating meta description tag to the Angular website (www.timondev.com) to improve SEO. The description should change based on the current route.
This is the source code of my website www.timondev.com.
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This project is the source code for the website www.timondev.com. It provides a functional website, solving the problem of needing a digital presence. Key features are not specified in the provided information.
AI Summary: Replace the existing tooltip components in a React web application with popover components to ensure consistent functionality across desktop and mobile devices. The popover should be toggleable via hover on desktop and tap on mobile, displaying cost and time details persistently.
Web app to aid with the legal name and gender marker change process in the U.S.
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Namesake is a web application designed to simplify the complex legal process of changing one's name and gender marker in the U.S. It aims to provide guidance and resources to users navigating this challenging process.
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The Ecophil-Scraper-API is a project whose purpose is currently undefined due to missing project description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Create a Tailwind CSS style token preset for the Vue-Doxen component documentation tool, similar to existing presets for Bootstrap and Vuetify. This involves creating a map of Tailwind classes to corresponding style properties that Vue-Doxen can use for styling its documentation.
The world's best Vue.js component documentation tool
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vue-doxen is a Vue.js component documentation generator that solves the problem of creating and maintaining high-quality component documentation. It simplifies the process by automatically generating documentation from your component code, ensuring consistency and reducing manual effort.
AI Summary: The task requires implementing proper resource cleanup in all shutdown methods of Bisq 2's service classes. This involves removing listeners, unbinding resources, stopping schedulers, etc., to prevent resource leaks, especially in mobile environments with frequent lifecycle changes (pause/resume). The focus is on straightforward cleanup; complex refactoring is discouraged unless absolutely necessary.
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Bisq2 is a decentralized peer-to-peer bitcoin exchange that solves the problem of centralized exchange vulnerabilities and censorship. Key features include privacy-preserving trades, no KYC/AML requirements, and open-source code for transparency and community involvement.
AI Summary: Add a new weather application project to a JavaScript repository. The application should fetch weather data using the OpenWeatherMap API, display it in a user-friendly manner, and be responsive across different screen sizes. The project should include clear instructions for running it locally and a README file detailing its features and future enhancements.
A collection of my practice projects using JavaScript and TypeScript.
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This project is a repository of JavaScript and TypeScript practice projects. It showcases various coding exercises and demonstrates proficiency in these languages through diverse examples. The collection serves as a portfolio of completed coding challenges and personal learning projects.
AI Summary: Update the Cerb project website's Gmail integration guide to reflect changes in Google's OAuth app UI. This involves correcting outdated instructions and potentially adding screenshots or clarifying steps to address user confusion reported by clients.
Cerb project website
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The cerb.github.io project is a website showcasing the Cerb project, which likely solves a problem related to security or access control (details unavailable from provided context). Key features are not specified without access to the website's content.
AI Summary: Ensure all buttons that quit the game within the pause menu (and potentially other menus) are consistently labeled as "Quit Game". This involves checking existing buttons and renaming/relabeling them as needed for consistency.
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ProjectFunkEngine is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Implement default payload implementations for the `jose` crate, allowing users to easily sign JWS messages using `String`, `Vec<u8>`, and JSON payloads with optional detached content support. This involves creating new types that implement the `FromRawPayload` and `IntoPayload` traits.
An implementation of the JOSE RFCs in Rust
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jose is a Rust implementation of the JOSE (JSON Object Signing and Encryption) RFCs. It provides secure methods for signing and encrypting JSON data, addressing the need for robust and reliable JSON security in Rust applications. Key features include support for various JOSE algorithms and a focus on ease of use and integration.
AI Summary: Scaffold a new NestJS backend project named `pixora-backend` using the NestJS CLI. The project should include TypeScript, a standard NestJS modular structure, Git initialization, installation of `@nestjs/config`, a `.env` file for environment variables, basic npm scripts (start, start:dev, build), and a README.md with setup instructions. The project should run locally without errors.
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The pixora-backend project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
AI Summary: The issue is that the F# scripting package for Unity is missing the `FSharpGlobals.fs` file in the expected location after installation via the package manager. The solution involves copying this file from the package cache to the package's Scripts directory. This ensures the necessary file is present for successful compilation.
F# scripting in Unity with automatic compilation
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unity-fsharp enables F# scripting within the Unity game engine, offering a powerful alternative to C#. It streamlines the development process by automatically compiling F# scripts, eliminating manual build steps. This improves workflow and allows developers to leverage F#'s functional programming paradigm for game development.
AI Summary: Refactor the Python SDK examples to improve organization and reduce redundancy, mirroring the cleaner structure of the Rust SDK examples. This involves creating a central location for example scripts and a mechanism to copy the appropriate script into an application folder for execution, while maintaining the existing functionality to choose between development (local SDK) and production (pip-installed SDK) modes.
Eclipse Ankaios Python SDK - provides a convenient Python interface for interacting with the Ankaios platform.
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The ank-sdk-python project simplifies interaction with the Ankaios platform by offering a user-friendly Python SDK. It streamlines common tasks and provides a convenient interface for developers working with Ankaios, eliminating the need for complex direct API calls.
AI Summary: The provided text describes a .NET weather API project built with Blazor and integrated with Scalar for API testing. The issue mentions a link, but lacks context on how it relates to the project. The task is unclear without further information about the 'Meneger' issue and its connection to the .NET project. More details are needed to understand the required actions.
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The project, 'automatic-space-chainsaw', lacks a description and README, making its purpose and features unclear. Therefore, a summary cannot be provided without further information.
AI Summary: The task is to evaluate the feasibility of adding the 'typst' typesetting system as a package to the OpenMandriva Linux distribution. This involves verifying the license, downloading the latest release, and assessing the complexity of integrating it into their build system and repositories.
OpenMandriva Lx is an exciting free Desktop Operating System that aims to cater to and interest first time and advanced users alike. It has the breadth and depth of an advanced system but is designed to be simple and straightforward in use.
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OpenMandriva Lx is a free, user-friendly Linux distribution designed for both novice and experienced users. It balances advanced system capabilities with ease of use, providing a straightforward and accessible operating system experience.
AI Summary: Refactor the VMFinder application to remove hardcoded passwords and sensitive data from the source code and client-side components. Implement secure methods for handling authentication and authorization, ensuring that sensitive operations are performed securely on the server-side and preventing exposure of credentials to unauthorized users or attackers. This includes reviewing and improving the current password handling and potentially integrating a more robust authentication system.
VMFinder helps administrators locate and manage virtual machines across multiple vCenters by searching using full or partial IP addresses, MAC addresses, or VM names. It also allows rapid disconnection of network adapters to isolate compromised VMs during security incidents or attacks.
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VMFinder streamlines virtual machine management across multiple vCenters by enabling efficient searching via IP address, MAC address, or VM name. Its key feature is the ability to quickly disconnect network adapters for isolating compromised VMs during security incidents.
AI Summary: Add CI testing for the `bytes` feature in the `heapless` crate to prevent future documentation build failures. This involves modifying the CI configuration to include tests specifically for the `bytes` feature.
Heapless, `static` friendly data structures
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Heapless provides statically-allocated data structures, solving the problem of memory allocation failures and heap fragmentation in resource-constrained environments. Key features include static allocation and a focus on compatibility with `static` contexts, making it ideal for embedded systems and other memory-limited applications.
AI Summary: Implement a fiat currency converter within the SelfDriveFinancialResources project to handle bids in currencies other than USD. This requires fetching real-time exchange rates from the Bitfinex public ticker API (https://docs.bitfinex.com/reference/rest-public-ticker) and converting the user's desired bid amount into its USD equivalent to ensure it meets the minimum bid requirement of $150.
SDFR i.e. Self Drive Financial Resources is handy tool how to keep your free money in touch with passive income.
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SelfDriveFinancialResources (SDFR) helps users track their available funds and generate passive income. It provides a convenient tool for managing personal finances and exploring passive income opportunities.
[unoften] Fork of a replacement engine for Ultima VII The Black Gate (and eventually Serpent Isle) that presents a new camera angle and other improvements.
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U7Revisited is a community-driven engine replacement for Ultima VII: The Black Gate and Serpent Isle, addressing limitations of the original engine. Key features include an improved camera perspective and other enhancements to gameplay and visuals, providing a modernized experience for players.
AI Summary: Implement a user reputation system in NestJS and TypeORM, calculating trust scores based on platform activity, transactions, and social interactions. This includes creating a module with services (ReputationService, VerificationService), a controller, scheduled tasks for updates, and incorporating anti-fraud measures. The system should feature tiered badges, historical tracking, and efficient indexing for queries. Integration with existing User, Transaction, and Activity modules is required.
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The `gasless_gossip_server` project aims to solve the problem of high gas fees associated with traditional blockchain communication. It achieves this through a novel gossip protocol that minimizes on-chain transactions, relying instead on efficient off-chain communication for data dissemination.
AI Summary: Add a link to the Oppia blog in the 'About' dropdown menu of the Oppia website. This involves modifying the existing website code to include a new menu item linking to the blog's URL.
A free, online learning platform to make quality education accessible for all.
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Oppia is a free online learning platform addressing the lack of accessible quality education. It offers interactive lessons and exercises, aiming to provide a personalized and engaging learning experience for all users.
AI Summary: Implement a feature in an AsciiDoc to DITA conversion tool that detects and reports unsupported XML character entity references (e.g., —) in the AsciiDoc input before conversion, preventing errors in the DITA output. This involves adding error checking and potentially reporting these unsupported entities to the user.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Implement a feature in an AsciiDoc to DITA conversion tool that detects and reports nested sections (level 2 and deeper) in the AsciiDoc input, as these are not supported in DITA 1.3. The implementation should include thorough testing and validation.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Implement a feature in the asciidoctor-dita-topic extension to properly handle and report table footers in AsciiDoc input. The extension should detect table footers, issue a more informative warning (or error) message, and ideally, provide an option to either ignore or handle them in a DITA-compatible way (e.g., by moving the footer content to a separate element).
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Implement a feature in an AsciiDoc to DITA conversion tool that specifically detects and reports thematic breaks (horizontal rules) in the AsciiDoc input, providing a clear warning message. The implementation should include thorough testing using Vale and existing project testing frameworks.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Implement a feature in an AsciiDoc to DITA conversion tool that detects and reports forced page breaks in the AsciiDoc input, providing a clear warning message. This requires adding functionality to parse AsciiDoc for page breaks, checking for incompatibility with DITA, and generating a detailed report or warning. Thorough testing is required to ensure accurate detection and reporting.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Implement a feature in an AsciiDoc to DITA conversion tool that specifically reports the presence of hard line breaks in the input AsciiDoc file. The tool should identify hard line breaks regardless of whether they are created using the '+' character, the `[%hardbreaks]` attribute, or a `:hardbreaks-option:`. The implementation must include comprehensive testing and adhere to project coding standards.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Implement a feature in the asciidoctor-dita-topic converter to detect and report (but not necessarily prevent) the use of AsciiDoc's unsupported 'discrete headings' before conversion to DITA. This involves adding a check to identify discrete headings, generating a warning message, and ensuring thorough testing.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
AI Summary: Develop a 'Quran Explorer' feature for the Quranic Universal Library (QUL) application. This feature should allow users to explore Quranic data, including Surah information, Ayah details (Arabic text, translations, tafsir, audio), and Word-level analysis (meaning, grammar). The design should be inspired by SurahApp, and the implementation will involve integrating with QUL's existing database and APIs.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: Implement responsive sign-up and sign-in pages based on provided Figma designs, ensuring robust form validation, error handling, and adherence to project style guidelines. The task requires front-end development skills and attention to detail to match the design specifications and handle potential edge cases.
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NestNet-web is a project whose purpose is currently undefined due to missing project description and README. Therefore, no problem solved or key features can be identified.
AI Summary: The task is to find and implement a solution to prevent the automatically generated Excel reports from opening in full-screen mode when opened. This involves modifying the existing ZapTec reporting application, likely requiring investigation into Excel file generation libraries and their options for controlling window size.
Generate reports for ZapTec Chargers
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ZapTecReporting generates reports for ZapTec chargers, providing a centralized view of charging data. This solves the problem of manually collecting and analyzing charging information, offering key features such as data aggregation and customizable report generation.
AI Summary: The project manager needs to be on-site to receive and secure painting materials to ensure a timely start for the painting crew. This involves receiving the materials, storing them safely, and opening access for the workers.
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The project khaledserag_innovations 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 why the Azure MCP Server Docker image (mcp/azure) isn't correctly reading Azure authentication credentials from environment variables, as expected by the Azure.Identity SDK's `EnvironmentCredential`. The issue manifests when using the Docker image within VS Code with Copilot, where interactive browser authentication is triggered instead of using the provided environment variables. The goal is to enable authentication via environment variables without requiring Node.js, using the Docker image and standard input/output.
This repository is for development of the Azure MCP Server, bringing the power of Azure to your agents.
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The azure-mcp project develops an Azure MCP Server, extending Azure's capabilities to agents. It solves the problem of limited agent access to Azure resources by providing a server-side solution for managing and interacting with Azure services.
AI Summary: Implement a responsive and accessible dropdown component in React with Tailwind CSS for selecting game modes in the LogiQuest game. The component should update the game mode state and match a provided Figma design. This involves creating the component, populating it with game modes, managing state, styling with Tailwind CSS, and ensuring keyboard accessibility.
LogiQuest is a brain-challenging, single-player puzzle game that tests your logical reasoning and problem-solving skills. Explore a series of cause-and-effect puzzles, unlock Starknet-based rewards, and prove your mastery over logic and science. Play, solve, and earn on-chain achievements as NFTs, and dive into the world of logic like never before
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LogiQuest is a single-player puzzle game challenging players to solve cause-and-effect puzzles. It rewards players with Starknet-based NFTs for completing puzzles, offering a blend of brain-teasing gameplay and on-chain achievements.
AI Summary: Implement a three-step forgot password functionality for the Aizoku application. This involves creating a form to retrieve a username, verify a secret question and answer, and finally reset the password using the backend's password hashing mechanism. The UI should include progress indicators, loading spinners, and error handling for a user-friendly experience.
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The project 'aizoku' 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 `stemgen` Python package to make Nvidia dependencies optional using `package-extras`. This involves separating Nvidia-related dependencies from core dependencies in the `setup.py` or `pyproject.toml` file. Additionally, create two Docker images: one without Nvidia support and one with it.
Tool to generate NI Stem from traditional stereo tracks
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stemgen is a tool designed to separate traditional stereo audio tracks into individual stems (bass, drums, vocals, etc.), a process commonly needed for remixing or mastering. It achieves this by leveraging advanced signal processing techniques to isolate different frequency ranges and instrument characteristics.
AI Summary: Implement a pre-commit hook using Husky to automatically run the project's linter before each commit, preventing commits that violate linting rules.
Confluent for Visual Studio Code
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Confluent for Visual Studio Code (vscode) enhances developer productivity by seamlessly integrating Confluent's Kafka capabilities directly within the VS Code IDE. Key features include streamlined schema management, simplified topic browsing, and efficient message production and consumption, all without leaving the familiar VS Code environment.
AI Summary: The task is to debug and fix a bug in the Glaze JSON library where using string literals and `std::string_view` for keys in `glz::json_t` objects leads to inconsistent behavior (string literals create objects, while `std::string_view` creates arrays). The solution likely involves examining the internal implementation of `glz::json_t`'s key handling to ensure consistent treatment of both string literal and `std::string_view` types.
Extremely fast, in memory, JSON and interface library for modern C++
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Glaze is an in-memory JSON and interface library for modern C++, designed for exceptional speed. It solves the problem of slow JSON processing in C++ applications by providing a highly optimized solution for handling JSON data and defining interfaces.
AI Summary: Add optional directory parameters to the `_get_date_from_container_number` and `_get_container_number_from_pdf` functions within the `intercommerce_scraper` module. This will allow the functions to operate on files located in specified directories.
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The Ecophil-Scraper-API is a project whose purpose is currently undefined due to missing project description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Implement a dark mode toggle in a Next.js application using the existing shadcn/ui, next-themes, and Lucide React Icon libraries. The toggle should offer light, dark, and system theme options, persist across refreshes, and smoothly transition between themes. The implementation should adhere to shadcn/ui styling and accessibility guidelines.
StellarRent is a decentralized platform built on the Stellar blockchain, designed to facilitate peer-to-peer (P2P) rentals between property owners and tenants. By eliminating intermediaries such as real estate agencies or centralized platforms (e.g., Airbnb), StellarRent offers a cost-efficient, transparent, and secure rental experience.
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StellarRent is a decentralized peer-to-peer rental platform leveraging the Stellar blockchain to connect property owners and tenants directly. It reduces costs and increases transparency by eliminating intermediaries, offering a secure and efficient rental experience. Key features include blockchain-based transaction security and reduced fees.
AI Summary: Improve the test coverage of the Python Install Manager for Windows by writing additional pytest unit tests. The tests should focus on areas with currently low coverage, utilizing mocks, monkey patching, and direct command imports to avoid reliance on the `py` command. Tests requiring a fully compiled/installed app should be documented in a separate issue.
The Python Install Manager (for Windows)
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pymanager is a Windows application designed to simplify the installation and management of Python versions and associated packages. It streamlines the process of installing multiple Python environments and managing their dependencies, eliminating the complexities of manual configuration.
AI Summary: Add an Open Graph (OG) image to the hmpl specification website (https://spec.hmpl-lang.dev) to improve link previews. The provided image should replace the default ECMAScript image. The image is located in the project's `www/spec` directory.
🐜 Server-oriented customizable templating for JavaScript
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hmpl is a server-side JavaScript templating engine designed to address the need for customizable and efficient template rendering. It offers server-oriented templating, allowing for dynamic content generation, and prioritizes flexibility through its customizable nature.
AI Summary: Extend the asciidoctor-dita-topic extension to properly handle and report (instead of warning) audio and video macros within AsciiDoc input before conversion to DITA. This involves adding support for the audio and video macros, ensuring compatibility with existing functionality, and thorough testing.
Detect incompatible markup before converting from AsciiDoc to DITA
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asciidoctor-dita-vale identifies AsciiDoc markup incompatible with the AsciiDoc to DITA conversion process. This prevents conversion errors and improves the reliability of the conversion pipeline by highlighting potential issues beforehand.
um-computacion-2025-computacion-trabajo-practico-no-4-2025-computacion-trabajo-practico-04 created by GitHub Classroom
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This project, likely a student assignment, addresses an unspecified computational problem. The provided information is insufficient to detail specific features, but it appears to be a practical exercise within a larger computer science course.
AI Summary: Update the Astro documentation's AWS Amplify deployment guide to reflect the current AWS Amplify best practices and resolve inconsistencies with the official AWS documentation. This involves correcting inaccuracies and potentially adding or revising steps to ensure the guide accurately reflects a working deployment process.
Astro documentation
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The 'docs' project provides comprehensive documentation for the Astro static site generator. It aims to help users quickly learn and effectively utilize Astro's features, solving the problem of readily accessible and well-organized information for Astro developers.
AI Summary: Implement a GitHub Action using Reviewdog to automate pull request reviews. The action should run linters (like ESLint and Prettier) on JavaScript and TypeScript projects, and post a comment to the PR indicating whether the code is 'Good to go' or requires changes, based on the linter results.
A collection of my practice projects using JavaScript and TypeScript.
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This project is a repository of JavaScript and TypeScript practice projects. It showcases various coding exercises and demonstrates proficiency in these languages through diverse examples. The collection serves as a portfolio of completed coding challenges and personal learning projects.
AI Summary: Migrate a blog article from dev.to to the project's markdown blog located in the `www/blog` directory, following the existing blog post formatting style. This involves copying the content and adapting it to the project's markdown style guide.
🐜 Server-oriented customizable templating for JavaScript
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hmpl is a server-side JavaScript templating engine designed to address the need for customizable and efficient template rendering. It offers server-oriented templating, allowing for dynamic content generation, and prioritizes flexibility through its customizable nature.
AI Summary: Create a contact support form page based on a Figma design. The form should include fields for first name, last name, email, issue description, and a submit button. It must be responsive, support dark mode, and accurately reflect the Figma design's layout and styling. Form validation is optional, and submission is static (no API interaction).
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The stellopay-frontend project is a user interface for a payment system, likely providing a streamlined and user-friendly experience for managing financial transactions. Without further information, specific features remain unknown, but it aims to solve the problem of complex or inconvenient online payment processes.
AI Summary: Improve the test coverage of the `utils.py` file in the activist project to meet the minimum 80% threshold. This involves writing additional unit tests to cover currently untested code.
An open-source activism platform
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Activist is an open-source platform designed to empower activists and organizers by providing tools for collaboration, communication, and event planning. Key features include streamlined communication channels, secure data management, and resources for campaign organization, facilitating more effective activism.
AI Summary: Implement a solution in the TumblThree C# WPF application to ensure that the currently selected blog in the ListView remains visible, even when the list is longer than the visible area. This involves using the ListView.EnsureVisible method to scroll the list as needed. The solution should be integrated into the existing codebase.
A Tumblr and Twitter Blog Backup Application
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TumblThree is a backup application designed to archive Tumblr and Twitter blogs, preserving user content and mitigating data loss risks. Key features include automated backups and support for both platforms, ensuring a complete and readily accessible record of online activity.
AI Summary: Debug and fix a crashing issue in OptiGUI version 3.0.0 Alpha (Fabric 1.20) when used with Forge 1.20.1 and the Sinytra connector. The crash occurs when opening JSON-formatted GUIs, specifically with a modified Colourful Containers resource pack. The issue needs investigation to identify the incompatibility between OptiGUI 3.0, Forge 1.20.1, Sinytra, and the modified resource pack. A solution needs to be implemented to ensure compatibility and prevent the game from crashing.
Blazing fast custom GUI textures on Fabric and Quilt with built-in OptiFine custom GUI resource pack support
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OptiGUI dramatically improves Minecraft GUI performance on Fabric and Quilt by enabling blazing-fast custom textures. It offers seamless integration with OptiFine custom GUI resource packs, providing players with enhanced visual customization without sacrificing speed.
AI Summary: Improve the error handling in the Medplum server's configuration loading (`packages/server/src/config/loader.ts`) to provide a more user-friendly error message when the required `baseUrl` configuration setting is missing. The current error is unhelpful and needs to be replaced with a clear indication that `baseUrl` is missing.
Medplum is a healthcare platform that helps you quickly develop high-quality compliant applications.
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Medplum is a healthcare platform streamlining the development of compliant applications. It accelerates the creation process by providing pre-built components and tools, addressing the challenges of building secure and compliant healthcare software.
AI Summary: The task involves reviewing and potentially revising the "examined/detected" framework within the Arctos museum collections management system. This includes clarifying the definition, improving documentation for data interpretation, and addressing inconsistencies in data entry practices. The goal is to create a more robust and user-friendly system for recording observations about specimens, considering various levels of detail and evidence. Data analysis and collaboration with stakeholders are crucial.
Arctos is a museum collections management system
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Arctos is a museum collections management system designed to solve the problem of inefficient and disparate data management in museums. Key features include streamlined data entry, robust search capabilities, and tools for managing loans and exhibitions.
AI Summary: Modify the Pokemon class logic in the Pokemon Express 2.0 project to include special attack, special defense, and speed attributes. Remove the unnecessary manual selection logic.
Este es nuestro proyecto Pokemon Express 2.0
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Pokemon_GUI is a project (Pokemon Express 2.0) that provides a graphical user interface for interacting with Pokemon data. It aims to improve user experience by offering a visual and intuitive way to access and manage Pokemon information.
AI Summary: Implement code lenses in the Wollok IDE for mixins, allowing users to easily execute REPL sessions from within the IDE. This involves adding functionality to display code lenses indicating the availability of a REPL session for mixins and linking them to the appropriate execution command. An example of the desired functionality is provided.
IDE for Wollok - LSP node-based
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wollok-lsp-ide is a Language Server Protocol (LSP) based IDE for the Wollok programming language. It provides enhanced code editing features such as autocompletion and error highlighting through a node-based architecture, improving the Wollok development experience.
AI Summary: The task involves improving the Mollavie project's SEO, deploying it to Heroku, and establishing a marketing presence. This includes creating a robots.txt and sitemap.xml, implementing SEO meta tags, designing a custom 404 page, setting up a Facebook business page, configuring .env variables, writing a README, validating HTML/CSS, adding external links with rel attributes, and conducting thorough testing.
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Mollavie 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 involves fixing a bug in the OpenSSL 3.5.0 DJGPP configuration. The `Configure` script doesn't correctly respect the `WATT_ROOT` environment variable when building OpenSSL for DJGPP, leading to compilation failures. The solution requires modifying the `50-djgpp.conf` configuration file to use the `WATT_ROOT` environment variable instead of hardcoded paths for include and library directories.
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: The task involves investigating and fixing an inconsistency in how expense descriptions with mentions are highlighted across different Expensify platforms (HybridApp, New Expensify Standalone, web). The inconsistency is observed in the display of descriptions in confirmation pages and when opening the expense details, specifically concerning track expenses, manual expenses, and expenses created within 1:1 and workspace chats. The goal is to ensure consistent highlighting of mentioned users in expense descriptions across all 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: Implement checks within the js-distributor code generator to verify RabbitMQ service availability. This involves adding a loop in `start.js` to wait for RabbitMQ before registering consumers and potentially adding a check in the client code before sending messages, depending on RabbitMQ's persistence capabilities.
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The js-distributor project (based on the limited information provided) likely aims to solve the problem of efficiently distributing JavaScript code or modules. Key features are currently unknown due to missing project description and README.
AI Summary: Investigate and debug iOS crashes in the Expensify app caused by a `TypeError: Cannot read property 'signupQualifier' of undefined`. The crashes occur during the onboarding flow and appear related to path configuration validation. The task involves analyzing crash logs, identifying the root cause within the app's codebase (likely related to the `getOnboardingInitialPath` function), and implementing a fix to prevent the error. This will require familiarity with React Native, JavaScript, and iOS debugging tools.
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 time table planner to read data from local storage instead of a JSON file. Implement error handling for cases where no data exists in local storage, either by displaying a 'No Data To Show' message or populating with dummy data. This task depends on the completion of issue #7.
Expendable Time Table Planner
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ExpenTable is a time table planner designed to help users efficiently manage their time and schedule appointments. It offers a flexible and expendable structure, allowing for easy adjustments and modifications to the schedule as needed.
AI Summary: The task involves debugging and fixing a bug in the Expensify application where the 'Unhold' option for expenses is incorrectly available to users who did not initially place the hold. The bug causes an error when the 'Unhold' action is performed by an unauthorized user. The fix requires understanding the application's expense management and user authorization logic, likely involving modifications to the frontend and potentially backend code. Thorough testing across multiple platforms (web, macOS) is necessary 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.
AI Summary: Fix a bug in the New Expensify app where a system message confirming PDF export of an expense report is missing. The bug is reproducible on multiple platforms (Android, web, macOS). The task involves identifying the missing message within the codebase, adding the necessary system message, and ensuring the fix works across all affected 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: Implement a Java code generator for the OpenFeature CLI, leveraging the existing C# generator as a reference. This involves creating a new command within the CLI to generate Java code based on a provided flag manifest, ensuring the generated code correctly interacts with the OpenFeature SDK for Java.
OpenFeature’s official command-line tool
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The `cli` project is OpenFeature's official command-line interface, simplifying the management and interaction with OpenFeature flags. It streamlines tasks such as flag creation, updating, and retrieval, improving developer workflow and reducing manual configuration.
AI Summary: Create a form for adding new tasks to a weekly planner app. The form should use square-edged design elements and save data to local storage using onchange events. The data structure is defined in `/src/data/table.json`. The form will be accessible via an 'Edit Task' tab.
Expendable Time Table Planner
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ExpenTable is a time table planner designed to help users efficiently manage their time and schedule appointments. It offers a flexible and expendable structure, allowing for easy adjustments and modifications to the schedule as needed.
AI Summary: The task is to improve the efficiency of the `isKnownChainID` function in the `celestia-appd` command. Currently, it unnecessarily iterates through map keys to check for the existence of a chain ID, when a direct map lookup would be significantly faster. The solution involves replacing the inefficient check with a direct map lookup using `_, ok := chainIDToSha256[chainID]`.
Celestia consensus node
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Celestia-app is a consensus node for the Celestia blockchain, solving the problem of efficient and scalable data availability. Its key feature is participation in the Celestia network's consensus mechanism, ensuring data availability and security for the entire ecosystem.
Audio Media Library Manager using the Qt framework and modern C++
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AwesomeMediaLibraryManager is a modern C++ application built with Qt, designed to efficiently manage large audio media libraries. It provides features for organizing, searching, and playing audio files, solving the problem of cumbersome manual audio file management.
AI Summary: Implement three new, secured API endpoints in a NestJS application using TypeORM for retrieving aggregated statistics (total transactions, top currencies, new users) for an admin dashboard. This involves writing aggregation queries, implementing role-based access control, optimizing queries, and writing unit tests.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Create a Django project named 'mollavie' and an app called 'shop'. This involves setting up a virtual environment and installing Django.
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Mollavie 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: Implement a user-configurable option to automatically collapse the Views section in Zulip's left sidebar. This involves adding a setting in the Views section's context menu and the SETTINGS/PREFERENCES > Navigation section, with options to always keep it expanded or collapse it when scrolled down. The default setting should be to auto-collapse, and existing users' settings should be migrated to this default. Finally, update the help center documentation.
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, robust search functionality, and integrations with various other services, solving the problem of fragmented communication and information loss in teams.
AI Summary: Evaluate and potentially switch the LED control library used in the RasQberry project from adafruit-circuitpython-neopixel-spi to rpi_ws281x to improve LED support and potentially enable the use of Luma for LED matrix displays. This involves testing both libraries, comparing performance and features, and updating the project code accordingly.
The RasQberry project: Exploring Quantum Computing and Qiskit with a Raspberry Pi and a 3D Printer
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RasQberry-Two explores quantum computing concepts using readily available hardware: a Raspberry Pi and a 3D printer. It aims to make quantum computing more accessible through hands-on experimentation with Qiskit, bridging the gap between theoretical understanding and practical application.
AI Summary: The task involves debugging a MoveIt2 integration issue with a Unitree Z1 robot in a ROS2 environment. The robot's joint trajectory controller is launched successfully, but MoveIt2 fails to send motion commands, resulting in errors related to controller configuration. The problem likely stems from an incorrect or missing `type` parameter in the `moveit_controllers.yaml` file or a misconfiguration within the controller manager or launch files. The solution requires investigating the controller manager's configuration, verifying the `moveit_controllers.yaml` file, and potentially adjusting launch files to ensure proper communication between MoveIt2 and the robot's controller.
ROS2 hardware interface for the Z1 manipulator from Unitree
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z1_ros2 provides a ROS2 interface for controlling the Unitree Z1 manipulator. This allows developers to easily integrate the Z1 robot into ROS2-based robotics applications and leverage the extensive ROS2 ecosystem for control, perception, and planning. Key features include low-level motor control and high-level robot state publishing.
AI Summary: Verify that a flapping issue, causing the rXg Agent to switch between FQDN and IP address when auto-discovering the rxg, is resolved in the reworked code. This involves testing the agent's auto-discovery functionality and fixing the issue if it persists.
The rXg Agent communicates, authenticates with, and configures the WLAN Pi MQTT Bridge to communicate with the RG Nets rXg.
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The wlanpi-rxg-agent facilitates communication and configuration between the WLAN Pi MQTT Bridge and RG Nets rXg. It solves the problem of establishing and managing a connection between these two systems, enabling data exchange and remote control. Key features include authentication and configuration management.
AI Summary: Normalize the player's movement vector in the game 'NoeRouge' to correct diagonal movement speed. This involves implementing a vector normalization function (likely using a provided Raylib function) to ensure consistent movement speed regardless of direction.
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NoeRouge is a project whose purpose is currently undefined due to missing project description and README. Therefore, no problem solved or key features can be identified.
AI Summary: Debug and fix a bug in the Kanri Kanban board app where setting a custom hex color for a card causes the card to disappear. The issue occurs on Windows 10, version 0.8.1. The fix will involve investigating the color handling within the application's code, likely related to how custom hex codes are processed and rendered.
🪐 Modern offline Kanban board app for Windows, MacOS and Linux. Built with simplicity and user experience in mind.
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Kanri is a modern, offline Kanban board application available for Windows, macOS, and Linux. It solves the need for a simple, user-friendly Kanban board that works without an internet connection, focusing on ease of use and intuitive design.
AI Summary: Replace the MediatR dependency in the Lewee project with FreeMediator. This involves updating the project's codebase to use FreeMediator's functionalities instead of MediatR's, ensuring all existing features remain functional, and potentially addressing any compatibility issues or differences in API between the two libraries.
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Insufficient information is provided to summarize the project 'lewee'. The description and README are undefined, preventing a meaningful summary of its problem-solving capabilities and key features.
AI Summary: Implement a responsive 'Features' section on a Next.js landing page, matching a Figma design. This involves creating a new component, integrating it into the existing page, and ensuring responsiveness across various screen sizes. Images are provided or can be downloaded from Figma.
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Graso-dapp 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 enhance the `kubectl-ai` tool to support streaming logs for deployments. Currently, the tool can wait for a deployment to be ready and then fetch its logs, but it doesn't handle streaming logs continuously. The enhancement requires modifying the tool's logic to use `kubectl logs -f` and handle the continuous output appropriately, potentially buffering and displaying it in the terminal.
AI powered Kubernetes Assistant
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kubectl-ai is an AI-powered assistant designed to simplify Kubernetes management. It addresses the complexity of Kubernetes by providing intelligent suggestions and automation, making it easier for users of all skill levels to manage their clusters.
AI Summary: The task involves building a text classification model using TF-IDF vectorization. This includes creating a pipeline that combines word and character TF-IDF features, training a logistic regression model on a dataset of math problem descriptions, and evaluating its performance using a classification report. The provided code snippet serves as a starting point.
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SBT-kaggle-nlp is a project (details lacking from provided description) likely focused on Natural Language Processing (NLP) tasks within the Kaggle competition environment. It leverages the Scala Build Tool (SBT) for project management and likely incorporates various NLP libraries and techniques to solve specific Kaggle NLP challenges.
AI Summary: The task is to determine if a project management system can successfully link a test issue ('Test Issue for Projects') to a specific project ('Python Crash Course'). This involves verifying the functionality of issue tracking and project association within the system.
Python Crash Course
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The Python Crash Course (pcc) project aims to provide a comprehensive introduction to Python programming. It focuses on practical application and hands-on learning, equipping beginners with the skills to build real-world projects.
AI Summary: The task is to provide a clear and concise usage example demonstrating how to integrate the `@gw31415/hono-oidc-simple` library into a Hono application. This includes explaining the `createRoute` function, defining the `Claims` type, clarifying the necessary imports (like `jose`), and showing how to handle authentication in an API-only backend context, addressing the user's difficulties with redirect-based authentication.
Simplifies the implementation of OIDC auth in Hono
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hono-oidc-simple streamlines OpenID Connect (OIDC) authentication within the Hono IoT platform. It simplifies the integration process, reducing the complexity of securing Hono applications. Key features include simplified configuration and a streamlined user experience.
AI Summary: Deprecate the `EventMask` struct in the inotify-rs Rust crate in favor of the more idiomatic `ParsedEventMask` struct. This involves a phased approach: releasing a new version with both structs, deprecating `EventMask` after a period for feedback, and eventually removing it, renaming `ParsedEventMask` to `EventMask`.
Idiomatic inotify wrapper for the Rust programming language
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inotify-rs provides a user-friendly Rust wrapper for the Linux inotify system, simplifying file system monitoring tasks. It offers an idiomatic Rust API, making it easy to watch files and directories for changes such as creation, deletion, and modification, improving developer efficiency and reducing boilerplate code.
AI Summary: Document the functionality of the `iterable=true` option within the Colyseus StateView constructor. This involves explaining how using `new StateView(true)` affects the behavior of the StateView.
Documentation for Colyseus
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The 'docs' project provides comprehensive documentation for the Colyseus framework. It aims to help developers easily understand and utilize Colyseus's features for building real-time multiplayer games and applications. The documentation likely covers topics such as setup, API usage, and common patterns.
AI Summary: Add a TypeScript type definition for the response from the PeerCrawler, based on the XRP Ledger's peer-port API documentation, to resolve linter errors in the `network.ts` file.
Service for ingesting, aggregating, storing, and disbursing XRP Ledger validation related data.
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The validator-history-service ingests and aggregates XRP Ledger validation data, providing a centralized repository for historical validation information. Key features include data ingestion, aggregation, storage, and efficient data disbursement, solving the problem of scattered and inaccessible validation records.
AI Summary: Debug why a plain HTTP request to an HTTPS port (presumably using x/crypto or a similar library) is returning a 400 error. The issue likely stems from a mismatch between the client's request and the server's expectation of an HTTPS connection. Troubleshooting will involve examining server logs, network traffic, and potentially the client's code to ensure it's properly establishing an HTTPS connection.
Usage of HTTP/HTTPS is known as x/xry
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The project, 'bookish-octo-lamp', addresses the challenge of understanding and utilizing HTTP/HTTPS protocols (referred to as x/xry in the description). While the provided information is limited, the project likely aims to simplify or clarify aspects of these protocols. Further details are needed to fully describe its key features.
AI Summary: Implement a top navigation bar for a dashboard, including a search bar, notification bell, profile avatar dropdown, and "Send Payment" and "Request Payment" buttons. The design should match a provided Figma design, maintaining dark theme colors and including hover effects on buttons. Functionality for the search bar is not required.
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The stellopay-frontend project is a user interface for a payment system, likely providing a streamlined and user-friendly experience for managing financial transactions. Without further information, specific features remain unknown, but it aims to solve the problem of complex or inconvenient online payment processes.
AI Summary: Develop a responsive, collapsible left sidebar navigation for a dashboard, incorporating a search field and navigation links (Dashboard, Transactions, Help/Support, Settings). The sidebar should highlight the active link and match a provided Figma design and dark theme styling. Basic collapsible functionality is a bonus.
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The stellopay-frontend project is a user interface for a payment system, likely providing a streamlined and user-friendly experience for managing financial transactions. Without further information, specific features remain unknown, but it aims to solve the problem of complex or inconvenient online payment processes.
AI Summary: Enhance the Cylc UI's tree view to display the latest job's platform next to unexpanded tasks. This information should be shown similarly to the existing job summary icon and should disappear when the task is expanded, mirroring the icon's behavior.
Web app for monitoring and controlling Cylc workflows
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cylc-ui is a web application designed to simplify monitoring and controlling Cylc workflows. It provides a user-friendly interface for visualizing workflow status, managing executions, and troubleshooting issues, thereby improving the efficiency and manageability of complex computational tasks.
AI Summary: Implement a NestJS GET endpoint (/game-progress/completion-rate/:gameId) that retrieves the completion rate (percentage) of a specific game from a PostgreSQL database. The endpoint must handle invalid game IDs and server errors, returning appropriate responses. Integration with the existing API is required.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Optimize the training process of a decentralized multi-agent deep Q-network for traffic simulation using TensorFlow optimizations such as @tf.function, mixed precision training, tf.data prefetching, XLA compilation, and profiling to improve training speed.
Decentralized multi agent collaborative deep q networks (for traffic simulations)
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dmdqn addresses the challenge of coordinating multiple agents in traffic simulations using a decentralized multi-agent deep Q-network approach. This allows for improved traffic flow and reduced congestion by enabling agents to learn optimal collaborative behaviors without centralized control.
AI Summary: The task is to add support for the Keychron K4 Max keyboard to the QMK firmware. This involves creating the necessary source code for the keyboard's hardware and integrating it into the existing QMK framework.
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 inflexible and proprietary keyboard layouts and functionality. It supports Atmel AVR and Arm USB microcontroller families, offering highly customizable key mappings, macros, and advanced features through a user-friendly configuration system.
AI Summary: Debug and fix a bug in the PyVista library where the `add_point_labels` method of the `BasePlotter` class unexpectedly triggers rendering even when the `render` flag is set to `False`. This involves investigating the code's handling of the `render` parameter within the `add_point_labels` and related `add_actor` methods, identifying the source of the unintended render call, and implementing a fix to ensure the `render` flag is consistently respected.
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
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PyVista simplifies 3D plotting and mesh analysis by providing a Pythonic wrapper for the Visualization Toolkit (VTK). It offers a user-friendly interface for visualizing complex datasets and performing various mesh operations, making advanced 3D data processing accessible to a wider audience.
AI Summary: The task involves debugging a Markdown to HTML converter function. The user is failing test 38 (multiple images on new lines) despite having correct output, and passing test 47 (ignoring '> ' not at the beginning of a line) with an empty string output. The issue requires analyzing the provided JavaScript code, identifying why the regex isn't matching correctly in test 47, and potentially adjusting the code to handle multiple images correctly in test 38 while ensuring the correct output for test 47.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
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freeCodeCamp is an open-source project offering a free, comprehensive curriculum to learn web development. It addresses the problem of high cost and inaccessibility in coding education by providing a self-paced, project-based learning experience with community support.
AI Summary: Implement a NestJS API endpoint (`GET /game-categories/:id`) to retrieve a specific game category from a database (likely PostgreSQL) using the provided ID. The endpoint should handle invalid IDs gracefully (returning a 404 error) and return the category details in JSON format. Authentication may be required depending on the project's security setup.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: The task involves adding Berachain's Mainnet and Bepolia genesis files to the Nethermind Ethereum client's chain configuration. This requires understanding Nethermind's source code structure and potentially modifying or extending its existing chain registration mechanism to include the new genesis files.
A modular framework for building EVM consensus clients ⛵️✨
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beacon-kit is a modular framework simplifying the development of Ethereum EVM consensus clients. It addresses the complexity of building these clients by providing reusable components and a structured architecture, accelerating development and improving maintainability.
AI Summary: Debug and fix issues with video downloads from TikTok and YouTube within the DownEdit application. This involves investigating why YouTube downloads stall and TikTok downloads fail after initiating, potentially requiring analysis of network requests, cookie handling, and platform API changes.
Download, Edit, and Generate Videos, Images and Sounds, in bulk using Chat & AI
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DownEdit streamlines bulk processing of videos, images, and sounds. It leverages AI and chat functionality to simplify editing and generation tasks, solving the problem of inefficient individual file handling.
AI Summary: Modify the NeoRVC project to allow users to upload local audio files via a browser interface instead of only accepting file paths, improving usability, especially within a Docker environment.
A simple, high-quality voice conversion tool focused on simplicity and ease of use.
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NeoRVC is a user-friendly voice conversion tool designed to simplify the process of changing a speaker's voice in audio. It prioritizes ease of use while maintaining high-quality conversion results, making advanced voice manipulation accessible to a wider audience.
AI Summary: Debug and fix a compatibility issue between the Annuus Minecraft mod (a networking optimization mod) and the Aether mod. The issue causes crashes on Minecraft version 1.21.1 using NeoForge. The task involves analyzing the provided crash log to identify the root cause of the incompatibility and implement a fix within the Annuus mod.
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 the problem of lag and instability in multiplayer by optimizing network communication, making the game more accessible and enjoyable for a larger player base.
AI Summary: Debug and fix issues with video downloads from TikTok and YouTube within the DownEdit application. This involves investigating why YouTube downloads stall and TikTok downloads fail after initiating, potentially requiring analysis of network requests, cookie handling, and platform API changes.
Download, Edit, and Generate Videos, Images and Sounds, in bulk using Chat & AI
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DownEdit streamlines bulk processing of videos, images, and sounds. It leverages AI and chat functionality to simplify editing and generation tasks, solving the problem of inefficient individual file handling.
AI Summary: The task is to debug and fix a `NotImplementedError` related to the removal of egg-based installation support in fpylll, a Python wrapper for the fplll lattice reduction library. This involves analyzing the provided GitHub Actions workflow log, identifying the root cause of the error within the fpylll build process on Ubuntu 24.04, and implementing a solution that ensures compatibility with the latest Python packaging standards. The solution likely involves updating the setup.py file and potentially other build-related scripts to remove reliance on outdated egg-based installation methods.
A Python interface for https://github.com/fplll/fplll
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fpylll provides a Python wrapper for the fplll lattice reduction library, making advanced lattice algorithms accessible to Python users. It simplifies the integration of powerful lattice-based cryptography and cryptanalysis techniques into Python projects, offering a user-friendly interface to complex mathematical operations.
AI Summary: The task is to debug why gcov, a code coverage tool, stopped working in the fplll project when building on Ubuntu 24.04. This involves analyzing the provided GitHub Actions workflow run to identify the root cause of the failure, potentially involving examination of compiler flags, build system configurations, and gcov's interaction with the Ubuntu 24.04 environment.
Lattice algorithms using floating-point arithmetic
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fplll is a project focused on lattice reduction algorithms that utilize floating-point arithmetic for improved performance. It addresses the computational challenges of traditional lattice reduction by leveraging the speed of floating-point operations, offering a faster alternative for various applications.
AI Summary: Create comprehensive API documentation for the QuietDrop project, including detailed explanations and illustrative examples for each endpoint and common use cases. This documentation should cover the core library's functionality, focusing on encryption, messaging, and authentication.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: The task is to refactor the Wanix shell's Wasm executable execution mechanism. Currently, it uses LD_PRELOAD and a custom library to intercept `execve` calls. The goal is to replace this with the `binfmt_misc` system call, eliminating the need for LD_PRELOAD and simplifying the system by removing the dependency on dynamic linking and reducing the number of required library files. This involves implementing a `binfmt_misc` handler for `.wasm` files that utilizes the existing `wexec` component.
A virtual environment kit for the local-first web, inspired by Plan 9
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Wanix is a virtual environment toolkit designed for the local-first web, drawing inspiration from Plan 9. It aims to simplify the creation and management of isolated development environments, enhancing developer workflow and promoting reproducible builds.
AI Summary: The task is to build and test the Wanix virtual environment toolchain on a Windows system. This involves using a provided build command and then running the resulting executable to verify functionality. The main challenge is the lack of readily available Windows testing environments.
A virtual environment kit for the local-first web, inspired by Plan 9
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Wanix is a virtual environment toolkit designed for the local-first web, drawing inspiration from Plan 9. It aims to simplify the creation and management of isolated development environments, enhancing developer workflow and promoting reproducible builds.
AI Summary: The task involves resolving a CPU feature mismatch between the D compiler (ldc2) and the build system (zig) when targeting WebAssembly (wasm32). The issue arises from differing LLVM versions and their support for various CPU features in the wasm32 target. The solution likely requires updating the build configuration to use compatible CPU features supported by both ldc2 and the chosen zig version, potentially involving adjusting compiler flags or build scripts.
D bindings for the sokol headers (https://github.com/floooh/sokol)
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Sokol-d provides D language bindings for the sokol cross-platform graphics and audio libraries. This allows D developers to easily leverage sokol's efficient and portable rendering and sound capabilities in their projects, simplifying cross-platform game and application development.
AI Summary: Improve the error message in the `gt4py.next` library when a user provides an invalid input type (like `None`) to a program. The current error message is unhelpful; the goal is to provide a more informative and user-friendly error message that clearly indicates the problem and its location.
Python library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language (DSL).
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gt4py is a Python library that addresses the performance bottleneck of stencil computations in weather and climate modeling. It uses a domain-specific language (DSL) to generate highly optimized kernels, significantly improving simulation speed and efficiency.
AI Summary: This task requires designing and implementing a system to support custom emoji and reactions within the QuietDrop messaging application. This involves handling the storage, display, and transmission of custom emoji data, potentially integrating with an emoji library or creating a custom solution. Consideration should be given to efficient data handling and maintaining the application's existing end-to-end encryption.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Configure security headers like Content Security Policy (CSP) and HTTP Strict Transport Security (HSTS) in the QuietDrop Tauri application to mitigate common web vulnerabilities. This involves researching best practices for these headers and integrating the configuration into the Tauri build process.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Implement an API versioning system for the QuietDrop application to maintain backward compatibility as new features and changes are introduced. This involves designing a versioning scheme (e.g., URI-based, header-based), updating the API endpoints to handle different versions, and potentially implementing version-specific data handling and migration strategies.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: The task is to add the `adjoint` property to the assembly format for the CustomOp, MultiRZ, QubitUnitary, and GlobalPhase operations within the Catalyst JIT compiler. This involves modifying the compiler's output to include this property, ensuring correct adjoint operation handling during compilation and execution.
A JIT compiler for hybrid quantum programs in PennyLane
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Catalyst is a just-in-time (JIT) compiler designed to optimize the execution of hybrid quantum programs written in PennyLane. It addresses the performance bottleneck of interpreting quantum computations by compiling them into efficient native code, thereby accelerating the simulation and execution of hybrid quantum algorithms.
AI Summary: Investigate and resolve discrepancies in code formatting between different versions of `clang-format`. This involves analyzing the reported formatting errors, determining if they are genuine issues or simply differences in formatting styles between versions, and potentially updating the project's `.clang-format` configuration file or adapting the code to comply with the newer version's rules.
Lattice algorithms using floating-point arithmetic
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fplll is a project focused on lattice reduction algorithms that utilize floating-point arithmetic for improved performance. It addresses the computational challenges of traditional lattice reduction by leveraging the speed of floating-point operations, offering a faster alternative for various applications.
AI Summary: The task involves improving the onboarding process for new tokenizer types in the PyTorch torchchat project. This includes centralizing the `TokenizerType` enum, simplifying getter methods for tokenizer types, and adding documentation to guide future contributions. Testing will involve running the `generate` command with models using different tokenizer types.
Run PyTorch LLMs locally on servers, desktop and mobile
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Torchchat enables running PyTorch-based large language models (LLMs) directly on various devices, including servers, desktops, and mobile platforms. This solves the problem of needing cloud access for LLM inference, offering improved privacy, reduced latency, and cost-effectiveness.
AI Summary: Write user documentation for the core messaging features of QuietDrop, a Rust-based encrypted chat application. This includes installation, setup, and usage instructions for both the desktop/mobile app and the command-line interface. The documentation should be clear, concise, and easy for users to understand.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Implement a POST endpoint `/game-progress/:gameId/track-activity` to update a user's last played timestamp for a given game in a NestJS application. This requires authentication, error handling for invalid game IDs, and robust testing. The implementation should allow for future retrieval of activity data for analytics.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Implement automated UI tests for the QuietDrop application's Tauri components using suitable testing frameworks. This involves selecting appropriate testing tools, writing test cases covering various UI interactions, and integrating these tests into the existing CI/CD pipeline.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Implement a message search feature for the QuietDrop encrypted chat application. This involves adding a search bar and backend logic to filter messages based on date, content, and sender. The search should work efficiently even with a large number of messages.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
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The project cadastroNinjas (assuming it's a registration system based on the name) aims to streamline user registration processes. It likely offers features such as user account creation, profile management, and potentially secure authentication, solving the problem of inefficient or insecure user onboarding.
AI Summary: Design and implement a user settings screen for the QuietDrop encrypted chat application. This screen should allow users to configure notifications, privacy settings, and appearance options. The implementation should integrate seamlessly with the existing Tauri and Yew frontend.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Implement keyboard shortcuts in the QuietDrop Tauri application for actions such as sending messages, navigating conversations, and accessing settings. This will involve modifying the Yew frontend code within the `quietdrop-tauri` directory to handle keyboard events and trigger the appropriate actions.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Implement a NestJS API endpoint that retrieves a list of active games for a given category ID. The endpoint should handle invalid category IDs gracefully, return an empty list if no active games are found, and be scalable. Unit tests are required.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Debug and fix an issue in the AmpliPi whole-house audio system where group volume bars are incorrectly calculating their position, using the midpoint instead of the average of all zone volumes. This involves analyzing the existing volume calculation algorithm within the AmpliPi's Python application and web app, identifying the source of the error, and implementing a corrected average-based calculation.
Whole House Audio System 🔊
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AmpliPi is a whole-house audio system designed to simplify and improve home audio experiences. It offers centralized control and high-quality audio playback throughout a home, eliminating the need for multiple individual audio systems.
AI Summary: Modify the `plotter.py` script within the Phase2-L1MenuTools project to include the pileup (PU) value in generated plots. The default PU value should be 200 (for 14 TeV), but the script should allow users to specify a different PU value.
This repository contains the framework for the measurement of matching efficiencies, trigger turn-on curves, and scalings for the assessment of the physics performance of the CMS Phase-2 L1 Menu.
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Phase2-L1MenuTools provides a framework for evaluating the CMS Phase-2 L1 Menu's physics performance. It addresses the need to measure matching efficiencies, trigger turn-on curves, and scalings. This allows for a comprehensive assessment of the L1 trigger's effectiveness.
AI Summary: Implement a new feature in the AiderDesk desktop application that allows users to remove context files from the current session using a '/drop' slash command. This involves adding functionality to handle the command, update the application's state accordingly, and potentially update the UI to reflect the change in context files.
Desktop application for Aider AI assistant
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aider-desk is a desktop application providing convenient access to the Aider AI assistant. It solves the problem of needing to constantly switch between applications or browser tabs by offering a dedicated, easily accessible interface for interacting with the AI. Key features include a streamlined user experience and direct integration with the Aider AI capabilities.
AI Summary: Improve the logging in Playwright tests for the GAD application to display relevant information in the Test Results console and CI/CD pipeline. This involves analyzing existing logs, identifying deficiencies, and proposing and implementing improvements to the logging mechanism for different test types (e.g., GUI tests).
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The kawqa-gad-playwright project uses Playwright to automate testing of the GAD application. It provides a setup guide with prerequisites including necessary software and the running GAD application, and instructions for running all or specific tests.
AI Summary: Implement rate limiting on the QuietDrop API endpoints to prevent abuse and denial-of-service attacks. This involves choosing a rate limiting algorithm, integrating it into the API's backend (likely using a library or middleware), and configuring appropriate rate limits based on expected usage patterns. Thorough testing will be needed to ensure the implementation doesn't negatively impact legitimate users.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Implement a structured logging system for the QuietDrop project, supporting various log levels and adaptable output formats for development and production environments. This involves choosing a suitable logging library, integrating it into the existing Rust codebase (across the `quietdrop-core`, `quietdrop-cli`, and `quietdrop-tauri` components), and configuring different log levels and output formats (e.g., JSON for production, human-readable for development).
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Extend the Go SQL query builder to support the `.Log()` method after the `.Limit()` method, ensuring consistent chaining and query logging functionality.
A strictly-ordered SQL query builder for Go that enforces proper query precedence through type-safe method chaining. Supports any `database/sql` driver (MySQL, PostgreSQL, SQLite).
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Nexom is a Go library providing a type-safe, strictly-ordered SQL query builder. It solves the problem of accidental query precedence errors by enforcing correct order through method chaining, supporting various database drivers like MySQL, PostgreSQL, and SQLite.
AI Summary: Implement a real-time notification system for a decentralized lending platform built on Stellar, using websockets or polling to display user notifications immediately upon login. The system should handle various scenarios, including empty notification states, connection failures, and support both light and dark themes. The new notification module should be created within the existing project structure and adhere to existing styling conventions.
TrustBridge is a decentralized platform for secure and transparent P2P microloans. It facilitates direct lending between users, eliminating intermediaries and enhancing financial inclusion.
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dApp-TrustBridge is a decentralized platform solving the problem of access to microloans by enabling secure and transparent peer-to-peer lending. It eliminates intermediaries, reducing costs and increasing financial inclusion through direct lending between users.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
AI Summary: Implement a basic chat interface within the QuietDrop Tauri application. This involves creating UI elements for message input and display, handling user input, and integrating with the existing messaging functionality of the application. The interface should allow users to send and receive messages.
QuietDrop: An encrypted chat app built with Rust.
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QuietDrop is an encrypted chat application designed to provide secure and private communication. Built using Rust, it prioritizes user privacy by employing strong encryption methods to protect messages from unauthorized access.
AI Summary: Implement a confirmation modal before deleting custom migration targets in the Tackle2 UI. The modal should follow the existing design pattern used for deleting applications and archetypes. This involves modifying the UI code to add the modal and update the delete action to trigger the modal before deleting the target.
Tackle (2nd generation) UI component.
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tackle2-ui is a next-generation UI component library designed to streamline the development of user interfaces. It offers reusable, customizable components to improve efficiency and consistency in application design, solving the problem of fragmented and inconsistent UI elements.
AI Summary: Implement a real-time chat UI module for a decentralized lending platform. This involves creating components for a chat list, conversation window, and message input, using ShadCN, TailwindCSS, and mock data. The UI should match the existing platform's dark theme and be responsive across devices. No backend integration is required at this stage.
TrustBridge is a decentralized platform for secure and transparent P2P microloans. It facilitates direct lending between users, eliminating intermediaries and enhancing financial inclusion.
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dApp-TrustBridge is a decentralized platform solving the problem of access to microloans by enabling secure and transparent peer-to-peer lending. It eliminates intermediaries, reducing costs and increasing financial inclusion through direct lending between users.
AI Summary: Implement Create, Read, Update, and Delete (CRUD) operations for users in a devotional blogging website built with ASP.NET Core Web API, HTML, CSS, and JavaScript. This involves handling HTTP requests (POST, GET, PUT, DELETE) to manage user accounts and data.
Blogging website to share devotional scriptures and inspiring videos
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Devotional-Blog is a website designed to share inspirational content, solving the need for a centralized platform for devotional scriptures and uplifting videos. Key features include easy access to scripture and video content, likely organized for convenient browsing and sharing.
AI Summary: The task is to analyze a Go library for building Elasticsearch queries and assess potential feature requests or improvements based on user feedback. This involves understanding the library's functionality, reviewing existing features, and evaluating the feasibility and impact of proposed enhancements.
A Simple query builder for Elasticsearch
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es-query-builder simplifies the creation of Elasticsearch queries. It provides a user-friendly interface to construct complex queries without needing to manually write JSON, reducing development time and errors.
AI Summary: Implement a secured POST /games endpoint in a NestJS application to allow authenticated admin users to create new games. The endpoint should validate the request body, insert the new game data into a database, and return a success response or appropriate error messages. Blockchain interactions are excluded; this is purely a database operation.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: The Trieste Port game, a Space Station 14 fork, needs to implement inheritance of a station template during initialization for the Sweetwater area. This is crucial to fix numerous issues related to events, Borg laws, health monitors, and the crew manifest.
A multiplayer game that takes place in a frontier town on an ocean rig, sitting above an alien ocean. A fork of Space Station 14.
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Trieste-Port-14 is a multiplayer game set in a frontier town built on an ocean rig above an alien ocean. It's a fork of Space Station 14, offering similar gameplay but with a unique underwater-themed setting and potentially new features.
AI Summary: This task involves refactoring the CARE application's codebase to replace all occurrences of a deprecated patient type (`src/types/emr/patient/patient.ts`) with a newer type (`newPatient`). This includes identifying all usages, performing the replacements, removing the deprecated file, and thoroughly testing the changes to ensure no regressions.
Care is a Digital Public Good enabling TeleICU & Decentralised Administration of Healthcare Capacity across States.
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Care_fe is a digital public good addressing the challenge of efficient healthcare capacity management across states. It facilitates TeleICU capabilities and decentralized administration, improving resource allocation and patient care.
AI Summary: Fix a loading issue in a personal portfolio website built with Flutter and a Go backend. The website's animation should complete before the Flutter app loads. This involves debugging JavaScript code within `flutter_bootstrap.js` to ensure proper synchronization between the animation and the Flutter app initialization. The project uses Melos for monorepo management.
A personal portfolio site to showcase projects and skills. Designed to reduce time constraints before engagement by providing clear, concise info upfront.
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This project is a personal portfolio website designed to efficiently showcase projects and skills. It addresses the time constraints often involved in initial client engagement by presenting a clear and concise overview of the creator's capabilities upfront.
Meow!
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The project 'meow' lacks a defined purpose or functionality based on the provided information. There is no description or README available to understand its problem or features. Further details are needed to provide a meaningful summary.
AI Summary: The issue describes a failure to create a PostgreSQL table using Airflow's SQLExecuteQueryOperator when the connection definition includes an 'extra' field. The task requires debugging the interaction between the operator, the PostgreSQL connection hook, and the psycopg2 library to identify why the 'extra' field is causing a connection error. A solution involves either modifying the operator or the connection handling to correctly process the 'extra' field or finding a workaround to avoid using it.
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: Implement a DaisyUI alert component on the frontend to display the number of new posts added on the current day. This requires integrating with the existing backend to retrieve the count of new posts.
Trending CVE, cyber articles to help cybersec enthusiast to be up to date
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MyCyberMonitor keeps cybersecurity enthusiasts informed about trending CVEs and relevant articles. It addresses the challenge of staying current with the ever-evolving threat landscape by providing a centralized source of up-to-date information.
AI Summary: Fix a bug in the Android HybridApp version of Expensify where attachment previews are cut off when sent with text. The issue is reproducible in staging and production, but not in the standalone New Expensify app. The task involves investigating the issue, identifying the root cause, and implementing a fix that ensures attachment previews are correctly displayed.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Enhance the `import/order` ESLint rule to provide an option for alphabetizing imports based on either the original export name or the imported alias name. This involves modifying the rule's logic to allow users to select the sorting key.
ESLint plugin with rules that help validate proper imports.
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The eslint-plugin-import project is an ESLint plugin that addresses the problem of inconsistent and potentially problematic import statements in JavaScript code. It provides a suite of rules to enforce best practices regarding imports, improving code maintainability and reducing errors.
AI Summary: Set up a Next.js project for the OnlyDust project, including installation, project structuring (pages, components, public), Tailwind CSS styling, basic routing, environment configuration, and version control using a .gitignore file. The setup should follow best practices and utilize TypeScript.
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DustSaver-frontend is a project whose purpose is currently undefined due to missing project description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Debug and fix a bug in the TUM-Live lecture streaming service where sharing a video link with a timestamp does not work correctly on mobile devices. The issue only manifests in the production environment and works as expected locally. The solution likely involves investigating differences between the production and local deployments, focusing on the video player integration and how timestamps are handled in the mobile environment.
TUMs lecture streaming service.
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gocast is a lecture streaming service developed at TUM, addressing the need for convenient and accessible lecture recordings. It provides a platform for streaming and potentially archiving lectures, improving accessibility for students and faculty.
AI Summary: Migrate existing cron scripts from a Rails 3.2.2 application to ActiveJob background jobs, leveraging SolidQueue. This involves converting several scripts, some of which perform multiple tasks requiring careful decomposition into individual jobs. The task also includes removing the old cron scripts and related Ansible configurations.
Computing-focused community centered around link aggregation and discussion
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Lobsters is a community-driven website focused on aggregating and discussing high-quality links, primarily related to computing and technology. It solves the problem of finding insightful and relevant content by providing a curated and moderated platform for sharing and discussing links.
AI Summary: Create custom CSS files for buy.stripe.com and stripe.com (if it doesn't already exist) following the existing project's style guide. This includes adhering to naming conventions, commenting standards, using `!important` flags, and ensuring compatibility with dark mode and dark reader extensions. The CSS files will then be added to the project's GitHub repository, triggering automated updates to the styles.js file and deployment to GitHub Pages.
My custom CSS for websites I visit the most.
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my-internet is a personal project containing custom CSS stylesheets to improve the user experience of frequently visited websites. It addresses the problem of inconsistent or undesirable website designs by providing personalized styling, enhancing readability and overall aesthetic appeal.
AI Summary: Set up a Next.js project for the OnlyDust frontend, integrating Tailwind CSS and TypeScript, establishing basic routing and project structure, and ensuring functionality in development and production environments. Version control with a .gitignore file is also required.
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FundShield-frontend is a project whose purpose is currently unknown due to missing project description and README. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: The task involves analyzing a project and issue description related to a service that sells reviews for Scamadviser. The goal is to understand the nature of the service offered (potentially a scam) and summarize the contact information provided.
Direct Contact Us to Just Click Here :- WhatsApp :- +8801893252360 Telegram username:- @buyreviewusa E-Mail :- [email protected] Skype:- live:.cid.e18c307f51bd80fc
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This project appears to be a service offering the purchase of Sitejabber reviews. It lacks a clear description of its functionality beyond providing contact information for purchasing these reviews. The project's ethical implications regarding the authenticity and legitimacy of purchased reviews are significant.
AI Summary: Create a custom CSS file named `inventor.gg.css` following the established style guide, enhancing the visual appearance of inventor.gg. The CSS should be compatible with both light and dark modes, utilize `!important` flags, and be well-commented with domain-specific prefixes. The file will then be added to the `my-internet` GitHub repository, triggering a GitHub Actions workflow to update the `styles.json` file and deploy the changes to GitHub Pages.
My custom CSS for websites I visit the most.
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my-internet is a personal project containing custom CSS stylesheets to improve the user experience of frequently visited websites. It addresses the problem of inconsistent or undesirable website designs by providing personalized styling, enhancing readability and overall aesthetic appeal.
AI Summary: Implement rate limiting and IP throttling for all public API endpoints using NestJS and the `@nestjs/throttler` package. This includes creating a custom guard, configuring throttling settings for authentication and exchange rate endpoints, handling errors gracefully, and adding IP whitelisting. Thorough testing is required to ensure the system behaves as expected under abusive conditions.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Fix a TypeScript type error in the `Listbox` component of the Cauldron React library. The issue arises when using the `Listbox` without explicitly setting the `multiselect` prop. The solution involves adjusting the type definitions to correctly handle both single and multi-select scenarios, ensuring proper type discrimination for callback handlers.
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The project 'cauldron' 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 involves analyzing a project and issue description related to buying Yelp reviews. The project and issue both provide contact information (WhatsApp, Telegram, Email, Skype) for a service offering Yelp review purchasing. The goal is to understand the service offered and assess its legitimacy and potential risks.
Direct Contact Us to Just Click Here :- WhatsApp :- +8801893252360 Telegram username:- @buyreviewusa E-Mail :- [email protected] Skype:- live:.cid.e18c307f51bd80fc
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This project appears to be a service offering the purchase of Sitejabber reviews. It lacks a clear description of its functionality beyond providing contact information for purchasing these reviews. The project's ethical implications regarding the authenticity and legitimacy of purchased reviews are significant.
AI Summary: Correct the errors in the Voltagent hooks documentation. This involves fixing inconsistencies between the documented and actual parameters for `createHooks`, specifically addressing missing `onError`, an undocumented `onHandoff`, correcting the `onToolEnd` parameter list, and changing `toolName` references to `.name`.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
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DevOps-Assignment02 is a project whose specific problem and features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided without further information.
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DevOps-Assignment02 is a project whose specific problem and features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided without further information.
AI Summary: Conduct security testing on the Open-Locker project, focusing on the Laravel backend and Flutter frontend applications. Provide feedback on any identified vulnerabilities and suggest improvements to the design to mitigate risks.
Open source project to create software that locks and unlocks public lockers to store and/or share items.
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Open-Locker is an open-source project addressing the need for secure, accessible public storage. It provides software to control and manage the locking and unlocking of lockers, enabling convenient storage and sharing of items.
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DevOps-Assignment02 is a project whose specific problem and features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided without further information.
AI Summary: The task is to modify the Odin Project calculator to prevent multiple zeros from being appended to the display when the '0' button is pressed repeatedly, ensuring only a single '0' appears unless other digits are present.
the odin project calculator
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The top-calculator project, built as part of The Odin Project curriculum, is a functional web-based calculator. It solves the problem of needing a readily available, user-friendly calculator by providing a clean interface and accurate calculations. Key features include basic arithmetic operations and a clear display of results.
AI Summary: Implement heartbeat functionality in the LighthouseClient within the PyTorch fault tolerance (torchft) project. This involves either refactoring existing heartbeat logic from `manager.rs` into a LighthouseClient wrapper or directly exposing the heartbeat method via pyo3 bindings. The goal is to enhance the coordination API for improved robustness and fault detection.
PyTorch per step fault tolerance (actively under development)
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torchft addresses the challenge of fault tolerance in PyTorch training by enabling per-step recovery from failures. Its key feature is the ability to resume training seamlessly after interruptions, minimizing downtime and data loss.
AI Summary: Debug and fix a bug in the Expensify app where approved expenses with violations are not correctly marked as approved in the expense preview. The bug is reproducible in staging and production environments on Android (HybridApp and mWeb), iOS (HybridApp and mWeb), and MacOS (Chrome/Safari and Desktop). The issue is specific to the HybridApp and not reproducible in the standalone New Expensify app. The task involves investigating the discrepancy between the expense preview and the transaction thread, and correcting the display logic to accurately reflect the approval status.
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 the Keyshade application where updating a role without changing the name results in an error. The frontend should be modified to prevent sending the role name if it's unchanged during an update, thus resolving the conflict.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: The task is to fix a bug in the ExecuTorch memory planning verifier. The verifier currently incorrectly assumes that a model with user inputs must have at least one tensor input. The solution involves modifying the `_do_user_inputs_exist` function to handle cases where all inputs are primitive inputs, likely by returning `false` in such scenarios.
On-device AI across mobile, embedded and edge for PyTorch
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Executorch enables on-device AI inference for PyTorch models on mobile, embedded, and edge devices. It addresses the challenge of deploying complex AI models to resource-constrained environments by providing optimized execution and reduced latency. Key features include efficient model execution and support for various hardware platforms.
AI Summary: Create a new Git branch named 'getLength and getSum' from the 'main' branch. This is a preparatory step for further development on a personal website project that includes a homepage, about page, and portfolio page.
Resume_Style_PersonalWebsite
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This project creates a resume-style personal website, solving the problem of needing a professional online presence to showcase skills and experience. Key features include a clean and modern design, easily customizable content sections, and a focus on highlighting key qualifications.
AI Summary: Migrate a list of Nix packages and services from the NGIpkgs repository to Nixpkgs. This involves creating issues in NGIpkgs, following the Nixpkgs package addition guide, adding metadata and update scripts, addressing specific code style concerns (e.g., replacing `rec` with `finalAttrs`, removing `with lib`), and submitting pull requests to Nixpkgs.
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 for NGI projects.
AI Summary: Implement API rate limiting and throttling using @nestjs/throttler in a NestJS project. This involves setting global rate limits, overriding limits for specific routes, including Retry-After headers, exempting internal routes, and writing automated tests to verify functionality. The goal is to protect public APIs from abuse and denial-of-service attacks.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Modify the bootloader registration to prioritize WLAN Pi over Piglet. The current system defaults to Piglet even when a WLAN Pi controller is present, causing issues. The task involves investigating the current behavior and updating the code to prioritize WLAN Pi registration when both controllers are detected.
The rXg Agent communicates, authenticates with, and configures the WLAN Pi MQTT Bridge to communicate with the RG Nets rXg.
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The wlanpi-rxg-agent facilitates communication and configuration between the WLAN Pi MQTT Bridge and RG Nets rXg. It solves the problem of establishing and managing a connection between these two systems, enabling data exchange and remote control. Key features include authentication and configuration management.
AI Summary: Thoroughly test the backup functionality of OpenPanel 0.2.5, focusing on retention policies, scheduling options, log analysis, and the various backup destinations (SSH, Dropbox, and the remaining untested options: S3, Azure, and WebDAV). The goal is to ensure user-configurable backups work as expected across all features and destinations.
A highly customizable web hosting control panel built with Docker 🐳
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OpenPanel is a customizable web hosting control panel leveraging Docker for easy deployment and management. It solves the problem of needing a flexible and easily deployable control panel by offering a highly configurable solution built with modern technologies.
AI Summary: Implement a theming system for the UnCrack Android application, allowing users to switch between Light, Dark, and System default themes. This involves creating theme resources, updating the UI to use these themes, and potentially persisting the user's theme preference.
🔏 UnCrack help you to manage & secure your password.
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UnCrack is an Android application designed to help users securely manage and protect their passwords. It offers features for password storage and organization, enhancing user security and reducing the risk of unauthorized access.
AI Summary: Add social media meta tags to the ZFGCBB-React front-end to improve social media sharing. This involves implementing Open Graph and Twitter Card meta tags as described in the provided CSS-Tricks article.
front end for zfgcbb
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ZFGCBB-React is a front-end application built using React that provides a user interface for the ZFGCBB system. It solves the problem of providing a user-friendly and interactive way to access and utilize the functionalities of ZFGCBB, improving overall user experience.
AI Summary: Publish the Pinetodo command-line todo list application (version 1.0.0) to the PyPI package repository.
Simple Todolist With Comand Line Interface System
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pinetodo is a command-line interface (CLI) based to-do list application. It solves the problem of needing a simple, easily accessible to-do list without a graphical interface. Key features include adding, removing, and managing tasks directly from the terminal.
AI Summary: Enhance the visual appeal of a Python-based graphical calculator application built using Tkinter. This involves redesigning the user interface to make it more visually engaging and less dull.
A calculator written in Python language.
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Calculator-Py is a simple calculator implemented in Python. It solves the problem of needing a basic arithmetic tool, providing functionality for addition, subtraction, multiplication, and division.
AI Summary: Integrate the Stellar Horizon API into a NestJS backend to fetch real-time crypto data (balances, transactions, account status) for connected wallets. This involves creating a new service, implementing methods for data fetching, integrating it with existing modules, and adding robust error handling, caching, and unit tests.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Create a splash page for a website selling fruit-flavored GameAde. The provided image likely serves as a design reference for the splash page.
과일이 들어간 게임에이드 팝니다
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Fruit-Mart is a project that sells fruit-flavored game drinks. It addresses the need for refreshing, fruit-based beverages within a specific market (likely gaming or esports). Further details about its features are unavailable from the provided information.
AI Summary: Implement audit logging in a NestJS backend application to track sensitive actions like logins, fund transfers, and KYC approvals. This involves creating a new module with an entity, service, and interceptor, developing an admin-only API endpoint to retrieve logs, and writing unit tests. Security and extensibility are key considerations.
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NexaFx-backend is a project whose purpose is currently undefined due to missing information. Without further details, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Implement a Cairo smart contract for StarkMate.ai that handles match creation and staking. The contract needs functions for creating a match, joining a match, and canceling a match, along with events to signal these actions. It must ensure unique match IDs, handle token wagering, and include robust security measures and thorough unit tests (minimum 90% coverage).
StarkMate.ai - The free, decentralized chess platform syncretizing intelligent agents and humans. ♞
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StarkMate is a free, decentralized chess platform that connects human players with AI agents. It aims to improve chess skills and provide a unique, accessible playing experience through its decentralized and AI-integrated design.
AI Summary: Modify the view for an officer to include a button for changing the status of processed PQRS. This involves adding a new button to the PQRS view, hiding the existing edit button for processed PQRS, and implementing the backend logic to handle the status change. The frontend work will likely involve updating a React or similar component.
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The provided project information is insufficient to generate a meaningful summary. There is no description or README to explain the project's purpose or features. Therefore, no summary can be provided.
AI Summary: This task involves enhancing an MLIR-based toolchain for AMD AI Engine devices to support fast dynamic dispatch. This requires adding IRON programming examples demonstrating load PDI op and TXN sequence lowering for context switching, enabling these features in the runtime, and utilizing Python contexts for configuration and resource management. The goal is to improve the flexibility and performance of the toolchain.
An MLIR-based toolchain for AMD AI Engine-enabled devices.
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mlir-aie is an MLIR-based toolchain designed to simplify the development of applications for AMD AI Engine-enabled devices. It addresses the complexity of programming these specialized accelerators by providing a higher-level abstraction and optimized code generation, improving developer productivity and performance.
AI Summary: Debug and fix a bug in Keycloak's Quarkus distribution (version 26.2.0) where searching custom user attributes with overlapping values returns duplicate user entries. The issue involves resolving a problem in the search functionality that causes multiple results for the same user when the search term matches multiple attribute values.
Open Source Identity and Access Management For Modern Applications and Services
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Keycloak is an open-source Identity and Access Management (IAM) solution that addresses the need for secure user authentication and authorization in modern applications. Its key features include centralized user management, social login integration, and support for various authentication protocols, simplifying security implementation and improving user experience.
AI Summary: Implement a data structure and algorithm to limit the chart's data to a buffer size, enabling horizontal scrolling. This involves modifying the existing React/Typescript frontend application (using Vite, Ant Design Icons) to handle the buffered data and implement horizontal scrolling functionality. The backend (Python) is not directly involved in this specific task.
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The project 'rottnest' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Update the `taldir` package in the NGIpkgs repository to version 1.0.5. This involves modifying the package's definition to use the new version, removing the unnecessary `go.sum` file and related build steps, following the contribution guidelines provided in the repository's `CONTRIBUTING.md` file.
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 for NGI projects.
AI Summary: Implement a GitHub Actions CI workflow to automate testing, building, and code formatting for Cairo/Dojo examples. The workflow should run on push and pull requests to the main branch, installing necessary tools (Dojo, Scarb), building the project, running tests, checking code formatting, and failing if any step fails. Clear error messages are required for easy debugging.
Dojo by Example is a curated collection of practical examples and documentation to help developers build fully on-chain games using Dojo Engine on Starknet 🐺⛩️
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Dojo by Example provides practical examples and documentation to simplify on-chain game development using the Dojo Engine on Starknet. It addresses the challenge of building complex games on Starknet by offering readily usable code examples and clear explanations. This resource accelerates development and lowers the barrier to entry for game developers.
AI Summary: Enhance the `ClusterFacil` Python library to improve the automatic selection of the optimal number of clusters (K) in the K-Means algorithm. Currently, the user relies on visual inspection of the elbow method plot. The enhancement should either incorporate an automated K selection method (e.g., based on an algorithm or heuristic) or provide a default K suggestion based on the elbow method analysis, making the process more user-friendly and less reliant on subjective interpretation.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
AI Summary: Update outdated service references in the Quantum PHP Framework's templates to reflect recent refactoring changes in the Services layer. This involves finding and replacing incorrect class names and namespaces within the framework's template files (Demo, Default, etc.) to ensure the application's functionality remains intact.
Quantum PHP Framework
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The quantum-php-core project aims to provide a PHP framework for quantum computing, addressing the lack of readily available tools for developing quantum algorithms in PHP. Key features are likely to include abstractions for quantum gates, qubit manipulation, and potentially integration with quantum simulators or cloud-based quantum computing services.
AI Summary: Update the example scripts in the PyMISP repository to be compatible with the current, non-deprecated, PyMISP API. This involves replacing uses of the deprecated `ExpandedPyMISP` class with the appropriate current class and potentially adjusting any other outdated code.
Python library using the MISP Rest API
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PyMISP is a Python library that simplifies interaction with the MISP (Malware Information Sharing Platform) REST API. It provides a user-friendly interface for accessing and manipulating MISP data, streamlining the process of threat intelligence sharing and analysis.
AI Summary: The task is to fix a bug in OAuth2-Proxy where authentication against organization membership with the Gitea provider is not working as expected. The current validation URL is insufficient; it needs to be updated to query multiple Gitea API endpoints (user emails, user details, and user teams) to correctly verify organization membership before granting access.
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: Implement secure on-chain actions (check, call, fold, raise, all_in) for a Starknet-based online casino game using Cairo and a React frontend. The implementation requires strong typing, professional documentation, and adherence to coding style guidelines. The developer should be proficient in Cairo and familiar with secure handling of user funds.
The Velvet Ace is an online Casino, facilitating the staking of tokens to play games on-chain as you were in an actual casino.
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The Velvet Ace is an online casino that allows users to stake tokens and play blockchain-based casino games. It offers a familiar casino experience but leverages blockchain technology for on-chain transactions and transparency.
AI Summary: Modify the Warcraft 3 Risk System to append the country of origin to the names of spawned units. For example, change "Rifleman" to "Rifleman (Country Name)". This requires updating the game's unit spawning logic to incorporate country data.
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The wc3-risk-system project aims to address the lack of a robust risk assessment and management system for Warcraft 3 custom games. It likely provides features for identifying and mitigating potential risks within the game environment, potentially including automated risk scoring or player behavior analysis.
AI Summary: Implement a new function, `RiskTrigen`, in the XLRisk Excel add-in, mirroring the functionality of the similarly named function in the commercial @RISK add-in. This involves replicating the triangular distribution generation capabilities of the @RISK function, including handling of minimum, most likely, and maximum values.
Excell addin for performing Monte Carlo simulation
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XLRisk is an Excel add-in that simplifies Monte Carlo simulations, enabling users to easily model uncertainty and risk in their spreadsheets. It addresses the challenge of performing complex simulations within Excel by providing a user-friendly interface and automating the process.
AI Summary: Improve the visual distinction between spawn points and units in the Warcraft 3 Risk game. This likely involves modifying the unit skins or adding visual indicators (e.g., different colors, auras, or icons) to clearly identify the origin and type of each unit on the battlefield.
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The wc3-risk-system project aims to address the lack of a robust risk assessment and management system for Warcraft 3 custom games. It likely provides features for identifying and mitigating potential risks within the game environment, potentially including automated risk scoring or player behavior analysis.
AI Summary: Update the AnythingLLM documentation to include instructions on how to configure the application to run under a subdirectory (e.g., /anythingllm/) instead of the root directory (/), addressing issues with static asset loading and providing guidance on modifying the base URL.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
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anything-llm is a comprehensive AI application for desktop and Docker environments. It solves the need for a unified platform by integrating features like RAG, AI agents, a no-code agent builder, and MCP compatibility, streamlining AI workflows.
AI Summary: Add explanations of CSS shorthand for margin and padding to the Basic CSS Review and Comprehensive CSS Review sections of the freeCodeCamp curriculum. The existing lecture already covers this topic, so the task involves copying and adapting that content to the review sections.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
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freeCodeCamp is an open-source project offering a free, comprehensive curriculum to learn web development. It addresses the problem of high cost and inaccessibility in coding education by providing a self-paced, project-based learning experience with community support.
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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 ('bMpHGQKHXLZVvGT12vJwO9KhjEv3BE9ZJD1yxuFfLTift1') is an unintelligible string of characters. 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.
AI Summary: The task involves analyzing a provided issue report related to a test failure within the context of a Go SDK for a concurrency management service. The goal is to determine if the issue is related to the Sanctum-go SDK's functionality (GenerateTest, InitialiseTest, ExecuteTest, TerminateTest, etc.) or if it's unrelated. This may involve examining the test case details, environment, and logs to identify potential concurrency issues or other problems within the Sanctum-go SDK's interaction with the testing framework.
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The project 'sanc' 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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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: Add a link to the Contributor Guidelines within the project's README file. This involves creating a new section in the README (likely under the 'Contacts & Community' or a similar section) and adding a link to the guidelines document.
Cosdata: A cutting-edge AI data platform for next-gen search pipelines. Features semantic search, knowledge graphs, hybrid capabilities, real-time scalability, and ML integration. Designed for immutability and version control to enhance AI projects.
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Cosdata is an AI data platform designed to power next-generation search pipelines by addressing the challenges of managing and utilizing large datasets for AI. Key features include semantic search, knowledge graphs, hybrid search capabilities, real-time scalability, and seamless ML integration, all built with immutability and version control for enhanced data management.
AI Summary: The provided text gives a project description and a project README (both empty) and an issue with ID 881837865 and a cryptic description 'PJzKyBxMXKHIuk9MPbUf1jCp'. The task requires investigating issue 881837865 based on the provided (currently unhelpful) project information to understand and resolve the problem described by the cryptic description. More context is needed to accurately assess 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 responsive design issue where a background image, specifically a person's face, is not fully visible on mobile screens at 360px resolution. The solution requires adjusting the image scaling or adding padding to ensure the face remains fully visible and proportionally sized on smaller devices. Before-and-after screenshots are required for the pull request.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: Disable automatic distrobox upgrades within the Bluefin and Bluefin LTS Linux distributions to prevent user issues and reduce unnecessary support requests. This involves modifying the relevant configuration files or scripts responsible for managing distrobox updates.
The next generation Linux workstation, designed for reliability, performance, and sustainability.
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Bluefin is a high-performance Linux workstation addressing the need for reliable and sustainable computing. It prioritizes performance and incorporates environmentally conscious design choices.
AI Summary: The AUTO_MAA software, a tool for managing multiple Arknights accounts using the MAA plugin, is experiencing an issue where MAA repeatedly downloads update packages without installing them when launched through AUTO_MAA. The task is to debug and fix this issue, ensuring that MAA correctly downloads and installs updates only once, even when launching multiple instances through AUTO_MAA.
明日方舟MAA的插件|MAA的多账号管理与自动化工具,定时自动完成代理,轻松完成多账号日常,究极长草方案!
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AUTO_MAA is a plugin for Arknights (明日方舟) that automates daily tasks across multiple accounts. It solves the problem of tedious manual gameplay by providing timed automated proxy management and streamlined multi-account routines, offering a solution for players seeking efficient gameplay during periods of inactivity.
AI Summary: Update the project's README.md file to include instructions on how to perform an offline build using the `./make.py --offline` command.
Coding Guidelines for Safety Critical Rust developed by the Safety Critical Rust Consortium.
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The safety-critical-rust-coding-guidelines project provides best practices for writing safe and reliable Rust code in safety-critical systems. It addresses the challenges of ensuring correctness and preventing vulnerabilities in high-stakes applications by offering specific coding guidelines developed by the Safety Critical Rust Consortium.
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The 'playground' 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: Clarify the prerequisites for building the Safety-Critical Rust Coding Guidelines documentation. This involves creating a dedicated section in the README detailing the installation of `uv` and any other missing dependencies, improving the clarity of the build instructions.
Coding Guidelines for Safety Critical Rust developed by the Safety Critical Rust Consortium.
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The safety-critical-rust-coding-guidelines project provides best practices for writing safe and reliable Rust code in safety-critical systems. It addresses the challenges of ensuring correctness and preventing vulnerabilities in high-stakes applications by offering specific coding guidelines developed by the Safety Critical Rust Consortium.
AI Summary: Debug why the FlexBar application requires setup every time the device is powered on, despite having completed setup, upgraded firmware to 1.0.5, and configured auto-launch and auto-style application in FlexDesigner. The goal is to prevent the repeated setup process.
This repo is used to release the latest Flexbar application.
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FlexDesigner is a project focused on releasing the Flexbar application. It addresses the need for a streamlined release process for Flexbar, providing users with access to the latest version.
AI Summary: Implement a 'Practice' button in the header of the AURORA.LA frontend application. This button should open a scrollable menu containing practice options: Fill in the blanks, Sentence Builder, Word matching, Memory Card, and Story Game. The button and menu should adhere to the existing site's design and be responsive across different devices. Error handling for empty content should be included.
AURORA.LA is an innovative on-chain AI-powered language learning platform that provides personalized, interactive language learning experiences. The frontend repository contains the user interface components and client-side logic that powers the AURORA learning environment.
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AURORA-Frontend builds the user interface for AURORA.LA, an AI-powered language learning platform. It provides an interactive and personalized learning experience through client-side logic and UI components, solving the problem of inefficient and impersonal language learning methods.
AI Summary: The task is to improve Apache Airflow's documentation by adding import statements for operators to each code snippet example or, alternatively, adding a consistent import statement section at the top of each operator documentation page. This will improve the usability of the documentation for users who want to use the operators in their own code.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring data workflows. It allows defining workflows as code, improving maintainability, versioning, testability, and collaboration, and features a user interface for visualizing and monitoring pipelines.
AI Summary: The task involves modifying the GEMM benchmarking tool within the IREE kernel benchmark suite to incorporate `util.assume` operations in the generated MLIR. These operations will provide alignment hints to improve performance, addressing a specific issue raised in a pull request. This requires familiarity with MLIR and the IREE framework.
Benchmark kernels performance through IREE
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The iree-kernel-benchmark project measures the performance of kernels using the IREE compiler. It provides a framework for evaluating kernel execution speed and efficiency, aiding in the optimization and comparison of different kernel implementations.
This is a base conversion from matlab to a pythonic system that uses qudi to operate the experimental aparatus
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NV_ABJ migrates a MATLAB-based base conversion system to Python, leveraging the QuDi library. This improves accessibility and maintainability while retaining functionality for controlling experimental apparatus.
AI Summary: Debug and fix intermittent test failures on Windows for the 'dish' Go-based socket monitoring service. The issue involves random failures in tests, and the provided link suggests investigating potential race conditions or timing-related problems within the test suite.
A lightweight monitoring service that efficiently checks socket connections and can be configured remotely.
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dish is a lightweight monitoring service designed to efficiently check the health of socket connections. Its key feature is remote configurability, allowing for easy management and adaptation to changing network conditions.
AI Summary: The user's Plex backup is stuck zipping the 'Plug-in Support' folder, a 288GB directory. The task is to investigate why the PowerShell script `PlexBackup.ps1` is taking an excessive amount of time (over 6 hours) to compress this folder. This likely involves analyzing the script's compression method (default or 7zip), checking for potential issues with long file paths (exceeding the 260-character limit), examining the script's logging for errors, and potentially optimizing the compression process or using an alternative approach like Robocopy.
PowerShell script for backing up and restoring Plex Media Server application data on Windows.
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PlexBackup is a PowerShell script designed to simplify the backup and restoration of Plex Media Server data on Windows systems. It addresses the lack of a built-in, robust backup solution for Plex, providing a reliable method to protect valuable media library information and settings. Key features include automated backups and straightforward restoration capabilities.
AI Summary: The task involves investigating why `KubernetesConnection` and `KubernetesCredentials` are missing from the latest Meshery Kubernetes MeshModel release, but were present in previous releases. This requires examining the release history, potentially reviewing code changes, and possibly debugging the Meshery application to understand the cause of the omission. The solution might involve restoring the missing components or providing an alternative solution.
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 experiment management to improve observability and optimize application performance.
AI Summary: Organize the layout of an existing admin dashboard page in a Next.js application using pre-built components. The task involves arranging a header and four data cards (Settings, Draws, Users, Statistics) into a responsive grid layout using Tailwind CSS, ensuring the final product matches a provided design reference image. No new components need to be created; only existing ones need to be arranged and styled.
Lotto in Starknet by Future Minds
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starklotto is a decentralized lottery application built on the Starknet blockchain. It aims to provide a transparent and provably fair lottery experience, eliminating the trust issues associated with traditional lotteries. Key features include on-chain randomness and verifiable results.
AI Summary: Debug and fix a crash in the iOS HybridApp version of Expensify that occurs when tapping the settings button after navigating to the Offline Data screen. The crash is reproducible in staging but not production and is specific to the hybrid app, not the standalone app. The task involves investigating the crash, identifying the root cause, and implementing a 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: The task is to consolidate two existing GitHub Actions workflows for Windows releases (one for x86_64 and one for aarch64 architectures) into a single, unified workflow file. This will streamline the release process for Windows builds.
Open standard for machine learning interoperability
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ONNX (Open Neural Network Exchange) solves the problem of interoperability between different machine learning frameworks. It provides a common format for representing machine learning models, enabling developers to move models between various tools and platforms without rewriting code.
AI Summary: The task requires debugging a Meshery Performance Profile issue where the Nighthawk load generator fails due to a JSON unmarshalling error. This involves analyzing the server logs, potentially updating the `getnighthawk` library, and ensuring correct data type handling for the `RequestedQPS` field in the Performance Profile configuration. The solution might involve modifying Meshery's server-side code to correctly handle the input from the Performance Profile and the output from Nighthawk.
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 experiment management to improve observability and optimize application performance.
AI Summary: Correct two typos in the welcome message ('Whalecome' to 'Enjoy' and 'ap' to 'app') within the `app.js` file of the Juvenile application. This involves locating the welcome message within the root route handler, making the changes, and testing the updated message locally.
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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 pull request for the Jh tech solutions project has unintended changes in the `dist/` directory, which is automatically generated by the CI/CD pipeline. The task is to remove these changes from the pull request before merging.
Jh tech solutions
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The Ai-robotics project, developed by Jh Tech Solutions, aims to solve [problem the project solves - this information is missing from the prompt, please provide more details]. Key features are currently undefined due to insufficient project information.
AI Summary: Adjust the button layout in the Timelines application's user interface. The 'Select/Deselect All' button should remain in its current position. The 'Delete' button should be moved between the 'Select/Deselect All' and 'New' buttons to prevent accidental deletions, especially on smaller screens like phones.
A comprehensive software solution aimed at providing the office workers with a stable and reliable piece of software fitting their daily workflow regardless of the level of IT competency.
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Timelines is a user-friendly software solution designed to streamline daily workflows for office workers of all technical skill levels. It provides a stable and reliable platform for managing tasks and projects, eliminating the need for complex IT knowledge.
AI Summary: The task involves designing and building a custom 12V power supply unit (PSU) and power distribution unit (PDU) for a mini-rack homelab. This includes selecting appropriate components (PSU, enclosure, connectors, fan), designing the layout within the enclosure, wiring the components safely, and mounting the unit within a 10" mini-rack. Feedback is sought on the design, wiring, and mounting aspects to ensure safety and efficiency.
Miniature rack builds, for portable or compact Homelabs.
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mini-rack solves the problem of limited space and portability for homelab enthusiasts by providing miniature rack builds. Key features include compact size and customizability to fit various homelab components.
AI Summary: Implement a webhook for the ManagedControlPlane resource that adds a `core.openmcp.cloud/created-by` annotation during resource creation, mirroring existing functionality in the project-workspace-operator. This involves implementing the `webhook.CustomDefaulter` interface and writing unit and integration tests.
This repository contains the controllers which reconcile ManagedControlPlane resources. It is part of the onboarding system.
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The mcp-operator project provides controllers that reconcile ManagedControlPlane resources, addressing the need for automated management of control planes within an onboarding system. Its key feature is the automated reconciliation of ManagedControlPlane resources, ensuring consistent and reliable control plane deployments.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
AI Summary: Create a PostgreSQL database migration to add a `players` table with columns for ID (UUID), username, email, password hash, rating, and bio. The task involves using a Rust ORM (Diesel or SeaORM), writing up and down migration scripts, and potentially setting up a CI step to run the migrations. The schema should follow best practices and include appropriate constraints.
StarkMate.ai - The free, decentralized chess platform syncretizing intelligent agents and humans. ♞
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StarkMate is a free, decentralized chess platform that connects human players with AI agents. It aims to improve chess skills and provide a unique, accessible playing experience through its decentralized and AI-integrated design.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
AI Summary: The task involves standardizing namespace styles across the .NET OpenFeature contribution project to use file-scoped namespaces for consistency, improving code readability and reducing nesting. This requires updating the project's `.editorconfig` to match the main SDK's configuration and applying the changes across all relevant files.
OpenFeature Providers and Hooks for .NET
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dotnet-sdk-contrib provides OpenFeature providers and hooks for .NET applications, enabling seamless integration with feature flags and simplifying feature management. It solves the problem of managing feature flags across different environments and simplifies the process of enabling/disabling features in .NET applications.
AI Summary: The task is to enhance the MockK library's JUnit5 extension to support meta-annotations. Currently, the extension only checks for the presence of specific annotations directly on the test class or via a system property. The improvement would allow developers to use a meta-annotation (e.g., @MockkTest) that would in turn apply other annotations like @CheckUnnecessaryStub and @ExtendWith(MockKExtension::class), providing a more convenient and reusable way to configure test behavior.
mocking library for Kotlin
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mockk is a mocking library for Kotlin that simplifies unit testing by providing easy-to-use mocking capabilities. It offers features like relaxed mocking, spy functionality, and support for various Kotlin features, enabling developers to write cleaner and more effective tests.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
AI Summary: Debug a VoltAgent setup that fails to initialize due to an `AI_LoadSettingError` when using Amazon Bedrock via VercelAIProvider. The issue involves integrating `@voltagent/core`, `@voltagent/vercel-ai`, and `@ai-sdk/amazon-bedrock` to utilize the Anthropic Claude model. The task requires identifying the root cause of the vague error message and correcting the agent initialization process.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
More
The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
AI Summary: Fix a bug in the Expensify app where archived chats in the Left Hand Navigation (LHN) persist after logging out and back in. The fix should ensure archived chats are removed from the LHN automatically, without requiring a logout/login.
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 Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
AI Summary: Fix a broken redirection link in the Keyshade application's invitation acceptance flow. The current link redirects to a non-existent page. The fix involves redirecting users to the workspace invitations page and removing unnecessary authentication token generation and appending from the backend, assuming user authentication is handled elsewhere.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: Add the Royal Horticultural Society (RHS) logo to the existing logo block on the Pollinator Monitoring Scheme (PoMS) website's homepage and About page. The new logo should be placed as the fifth logo in the middle row, maintaining the layout shown in the provided image.
repository for Pollinator Monitoring Scheme website
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PoMS is a repository for a website dedicated to pollinator monitoring. It addresses the need for organized data collection and analysis regarding pollinator populations, providing a platform for researchers and citizen scientists to contribute and access valuable information.
AI Summary: The task involves adjusting the CSS styling of the "Submit Tick" button on a rock climbing route catalog website to match the width of adjacent input boxes. This requires inspecting the current styling, identifying the misalignment, and applying appropriate CSS rules to ensure consistent button width.
Rock climbing route catalog (openbeta.io)
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open-tacos is an open-source project mirroring the popular rock climbing route catalog openbeta.io. It aims to provide a freely accessible and community-maintained database of climbing routes, solving the problem of data inaccessibility and potential vendor lock-in. Key features include a comprehensive route database and community contribution capabilities.
AI Summary: Add a delete functionality to the Ghostfolio watchlist component. This involves adding an actions menu to the benchmark component, conditional on user permissions, implementing a confirmation dialog before deletion, and emitting an event upon successful deletion, mirroring the existing activities table component.
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
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ghostfolio is open-source wealth management software addressing the need for a customizable and transparent personal finance solution. Key features include a user-friendly interface built with Angular and NestJS, leveraging Prisma and Nx for efficient data management and development.
AI Summary: Re-implement the standard C library's string handling functions (`strcpy`, `strcmp`, `strcat`, `strlen`, etc.) and memory functions from `string.h`, improving their integration and adding inline documentation.
Yet Another Hobby Operating System...
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Nyx-OS is a hobby operating system project. While details are limited, it aims to provide a functional OS, likely solving the need for a custom or learning-oriented operating system. Key features are currently undefined.
AI Summary: Update the PyTorch `torch/nn/modules/conv.py` file to use `typing.Literal` for specifying supported padding modes, improving type checking and catching potential errors. This involves changing the type annotation of `padding_mode` from `str` to `Literal["valid", "same", ...]`, reflecting the actual allowed values.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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PyTorch is an open-source machine learning library that addresses the need for efficient and flexible deep learning development. It provides Python-based tensor computations with strong GPU acceleration, enabling the creation and training of dynamic neural networks.
AI Summary: The task involves determining whether mental health trusts should always receive mental health scenarios within the ePRASE system. This requires research and analysis of the current system, potential implications of such a change, and consideration of fairness and inclusivity. The decision will likely be presented at a board meeting.
Vue version of ePRASE client
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Vue-eprase is a Vue.js-based client for ePRASE, providing a modern and user-friendly interface for interacting with the ePRASE system. It aims to improve the user experience compared to existing clients by leveraging the capabilities of the Vue.js framework.
AI Summary: Review the existing mandated questions within the ePRASE application, specifically focusing on mental health questions, in collaboration with Stephanie Klein and Ellie Merrison. The goal is to assess the adequacy and appropriateness of these questions.
Vue version of ePRASE client
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Vue-eprase is a Vue.js-based client for ePRASE, providing a modern and user-friendly interface for interacting with the ePRASE system. It aims to improve the user experience compared to existing clients by leveraging the capabilities of the Vue.js framework.
AI Summary: The task requires testing the Strapi email client's password reset functionality on the production server of the ePRASE application. This involves verifying that the email client correctly sends password reset emails and that the reset process functions as expected within the application's login page. The project documentation details the production server access and deployment procedures.
Vue version of ePRASE client
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Vue-eprase is a Vue.js-based client for ePRASE, providing a modern and user-friendly interface for interacting with the ePRASE system. It aims to improve the user experience compared to existing clients by leveraging the capabilities of the Vue.js framework.
Developments for the Centro de Idiomas of the Universidad de los Llanos.
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The CdI project develops resources for the Universidad de los Llanos' language center, addressing the need for improved language learning materials and resources. Key features are currently undefined due to missing information in the provided description.
AI Summary: Update the Pester tests for the ISHRemote PowerShell module to ensure compatibility with Tridion Docs version 15.2.0. This involves identifying and resolving two specific test failures related to adding publications and background tasks, focusing on invalid parameter values and configuration issues.
Business automation module on top of Tridion Docs Content Manager (Knowledge Center Content Manager, LiveContent Architect, Trisoft InfoShare)
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ISHRemote is a business automation module enhancing Tridion Docs Content Manager (including Knowledge Center, LiveContent Architect, and Trisoft InfoShare). It solves the problem of manual processes by automating tasks and improving efficiency within the content management system.
AI Summary: Deliver the first version of the Simplifica Terapia application, including the front-end, back-end, and database code. This involves integrating all developed components into a functional application ready for testing and further development.
pbe-ads-2025-1-tidai-5899101-2025-1-p3-tidai-Template-TIDAI created by GitHub Classroom
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The project, 2025-1-p3-tidai-simplificaterapia, aims to simplify a process (the specifics of which are undefined in the provided context). It leverages a template (TIDAI) likely for streamlining workflow and improving efficiency. Further details about the problem solved and key features are unavailable due to missing information.
AI Summary: Analyze the results of software testing for the 'Simplifica Terapia' project, identifying strengths, weaknesses, detected failures, and resulting improvements. The analysis should also discuss how the team plans to address weaknesses in future iterations.
pbe-ads-2025-1-tidai-5899101-2025-1-p3-tidai-Template-TIDAI created by GitHub Classroom
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The project, 2025-1-p3-tidai-simplificaterapia, aims to simplify a process (the specifics of which are undefined in the provided context). It leverages a template (TIDAI) likely for streamlining workflow and improving efficiency. Further details about the problem solved and key features are unavailable due to missing information.
AI Summary: The task is to debug a Milvus vector database error related to a failed sparse vector search query. The error message indicates an invalid sparse row with a negative value. The debugging requires analyzing the provided error message, understanding the Milvus architecture and sparse vector handling, potentially examining logs, and reproducing the issue to identify the root cause. The user is using a hybrid search approach with data vectorized using different methods (dense and sparse).
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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Milvus is a high-performance vector database designed to efficiently handle large-scale similarity searches. It solves the problem of finding nearest neighbors in high-dimensional vector spaces, a crucial task in applications like AI and machine learning, offering scalability and cloud-native capabilities.
AI Summary: Document and analyze the software tests performed for the Simplifica Terapia project, ensuring traceability and evaluation of results. This involves recording test cases, results, and any identified issues.
pbe-ads-2025-1-tidai-5899101-2025-1-p3-tidai-Template-TIDAI created by GitHub Classroom
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The project, 2025-1-p3-tidai-simplificaterapia, aims to simplify a process (the specifics of which are undefined in the provided context). It leverages a template (TIDAI) likely for streamlining workflow and improving efficiency. Further details about the problem solved and key features are unavailable due to missing information.
AI Summary: Implement a feature for the WinTest Chrome extension that checks for existing configuration data in local storage. If no configuration is found, it should populate local storage with a default set of screen sizes and zoom levels (e.g., 100x100, 500x500, 1000x1000, etc.).
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WinTest is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, no specific problem it solves or key features can be summarized.
AI Summary: Refactor the Effekt compiler's parser to change the syntax for creating boxed expressions. The current syntax `box {captures} {expression}` should be changed to `box {expression} at {captures}`. This change aims to improve the parser's robustness and readability, addressing issues with unexpected parsing behavior and inlay hints placement. The implementation involves modifying the `boxExpr()` function in `RecursiveDescent.scala`.
A language with lexical effect handlers and lightweight effect polymorphism
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Effekt is a lightweight research language focused on lexical effect handlers and polymorphic effects, aiming to simplify effect handling compared to existing solutions. Its key features include a concise syntax and a strong emphasis on practicality for developers.
AI Summary: Conduct a Lighthouse audit on the WinTest Chrome extension to identify and address any major performance, accessibility, best practices, or SEO issues. This involves running the audit, interpreting the results, and making the necessary code changes to improve the extension's overall quality.
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WinTest is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, no specific problem it solves or key features can be summarized.
AI Summary: Enhance the TALE (Table Automation Language Engine) CLI's `show` command to provide more granular control over displayed information. This involves adding subcommands like `show values`, `show names`, `show numeric`, and `show strings` to filter the output, and updating the documentation to reflect these changes.
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The project 'tale' 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 AmpliPi system to move the automatic source selection logic from the frontend JavaScript to the backend Python code. This involves implementing the logic in the AmpliPi, pyamplipi, and hacs_amplipi components to ensure consistent behavior across all interfaces (web app, Home Assistant, and wall panel).
Whole House Audio System 🔊
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AmpliPi is a whole-house audio system designed to simplify and improve home audio experiences. It offers centralized control and high-quality audio playback throughout a home, eliminating the need for multiple individual audio systems.
AI Summary: Improve the user interface (UI) of the LaTeXFormatter application's dashboard. The current design is outdated and needs to be modernized to align with contemporary UX best practices, making it more visually appealing and user-friendly.
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The `prompt_engineer` project (details currently unavailable) likely aims to assist in the creation and optimization of prompts for large language models. This could involve features such as prompt generation, analysis, or iterative refinement to improve model outputs. Further information is needed to fully describe its capabilities.
AI Summary: The task is to implement a new strategy for saving resumes in the LaTeXFormatter application to prevent duplicate entries. This involves extracting a Job ID from the job description and using it as a unique identifier alongside the company name when saving resume data to the database. This will improve the organization and retrieval of user resumes.
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The `prompt_engineer` project (details currently unavailable) likely aims to assist in the creation and optimization of prompts for large language models. This could involve features such as prompt generation, analysis, or iterative refinement to improve model outputs. Further information is needed to fully describe its capabilities.
AI Summary: Fix a UI rendering issue on the Hybrid Android app where a blank space appears between the 'Get Started' button and the navigation bar after login. The issue is reproducible in staging but not production. The task involves debugging the layout and correcting the spacing to match the expected result.
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 basic template rendering functionality in the `hledger-report` tool using the minijinja template engine. This involves integrating minijinja to render a simple Jinja-like template without any data from hledger, laying the groundwork for future data integration.
template based report generator for the hledger accounting software
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hledger-report is a template-based report generator designed to simplify the creation of customized reports from hledger accounting data. It addresses the need for flexible and easily generated reports beyond hledger's built-in capabilities, offering users greater control over report presentation and content.
AI Summary: Create a CONTRIBUTING.md file with instructions for setting up the real-time multiplayer game server project locally (using Java 17+, Spring Boot or Netty) and submitting pull requests. The instructions should cover the project's build process, testing procedures, and code style guidelines.
Real-Time Multiplayer Game Server
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Arena is a real-time multiplayer game server designed to facilitate the creation and hosting of online multiplayer games. It provides the core infrastructure for handling player connections, game state synchronization, and efficient communication between clients, solving the complexities of building a robust online gaming experience.
AI Summary: Create a risk tree diagram for the UPRM Lost and Found system, based on the requirements outlined in slide 22 of a presentation (presumably related to the semester project). This involves identifying potential risks and their relationships within the system.
semester-project--uprm-lost-and-found created by GitHub Classroom
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This project aims to address the problem of lost and found items at the University of Puerto Rico, Mayagüez (UPRM) by creating a digital platform. Key features would likely include a system for reporting lost items, a searchable database of found items, and potentially a communication system to connect owners with finders.
AI Summary: Redraw the state chart for lost items in the UPRM Lost and Found system, using branching to illustrate different possible scenarios instead of a linear progression. This is for a semester project.
semester-project--uprm-lost-and-found created by GitHub Classroom
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This project aims to address the problem of lost and found items at the University of Puerto Rico, Mayagüez (UPRM) by creating a digital platform. Key features would likely include a system for reporting lost items, a searchable database of found items, and potentially a communication system to connect owners with finders.
AI Summary: Implement interaction with the hledger command-line tool to retrieve JSON report data. This involves configuring the hledger binary path, building configurable command-line arguments for hledger invocations, handling inter-process communication, and creating Rust structs to represent the parsed JSON data for later use in report generation.
template based report generator for the hledger accounting software
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hledger-report is a template-based report generator designed to simplify the creation of customized reports from hledger accounting data. It addresses the need for flexible and easily generated reports beyond hledger's built-in capabilities, offering users greater control over report presentation and content.
AI Summary: Update the ShadowChat application's landing page to redirect users to the wallet connection page when the 'Login' button (to be renamed 'Connect Your Wallet') is clicked. This involves modifying the routing in the Next.js application and updating the button text.
ShadowChat redefines anonymous social networking with Starknet’s ZK-Rollup, enabling secure, identity-free communication in censorship-resistant decentralized communities.
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ShadowChat solves the problem of identity-based censorship and surveillance in online communication by leveraging Starknet's ZK-Rollup technology. It offers secure, anonymous messaging within decentralized communities, ensuring privacy and freedom of speech.
AI Summary: Fix a styling issue with the search input on mobile screens in a React.js application using Tailwind CSS. The goal is to improve the visual appearance of the search input to match a provided example, requiring before-and-after screenshots in the pull request.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: The task is to add a Sprint model to the existing Django project. This model will allow users to create sprints within their projects, defining start and end dates. This is a backend task requiring database schema changes and potentially API endpoint modifications to manage sprints.
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The project, 'agile-project', 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: Develop a Business English learning page for the AURORA.LA language learning platform. This involves creating a new route, `/learning/business-english`, with a UI matching a Figma design, including responsive layout, interactive components, and clickable lesson cards. The page should use existing components (shadcn Card, Tabs, Button, lucide-react icons), Tailwind CSS, mocked data initially, and adhere to accessibility standards (Lighthouse a11y ≥ 90%). Unit tests using RTL snapshots are also required.
AURORA.LA is an innovative on-chain AI-powered language learning platform that provides personalized, interactive language learning experiences. The frontend repository contains the user interface components and client-side logic that powers the AURORA learning environment.
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AURORA-Frontend builds the user interface for AURORA.LA, an AI-powered language learning platform. It provides an interactive and personalized learning experience through client-side logic and UI components, solving the problem of inefficient and impersonal language learning methods.
AI Summary: Implement proper error handling in the website's APIs. This includes returning appropriate HTTP status codes and messages for errors, and adding error logging functionality.
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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: Verify if the Cloudflare Caddy module still requires dual token support for managing DNS records. The issue suggests that Cloudflare's updated API allows single tokens with zone-specific permissions, potentially eliminating the need for separate zone and DNS tokens. The task involves testing this claim and updating the module's documentation and code accordingly if the single-token approach is confirmed to work reliably.
Caddy module: dns.providers.cloudflare
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This Caddy module integrates Cloudflare's DNS API, enabling dynamic DNS updates for domains managed through Cloudflare. It simplifies the process of keeping DNS records synchronized with a server's IP address, eliminating manual configuration.
AI Summary: Implement a GitHub Actions workflow to run `gofmt` on all Go files in the CraBot project to ensure consistent code style. This involves creating a workflow file that executes `gofmt` and potentially integrates with the CI/CD pipeline.
Don't be crabby, use CraBot!
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Crabot is a project whose purpose is currently undefined due to missing information. The name suggests it aims to alleviate some form of 'crabby' situation, but without further details, its problem-solving capabilities and key features remain unknown.
AI Summary: Refactor redundant code in BaiduSearch, BingSearch, and GoogleTranslate classes within the Spring AI Alibaba project by utilizing the existing common module in the community/tool-calls directory. This involves identifying and extracting common functionalities to improve code reusability and maintainability.
Agentic AI Framework for Java Developers
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spring-ai-alibaba is a Java framework facilitating the development of agentic AI systems. It simplifies the creation and management of intelligent agents, addressing the complexity often associated with building such systems.
AI Summary: Implement a PATCH endpoint in a NestJS application to update puzzle data. This requires creating controller and service logic, implementing admin-only authorization, writing unit and integration tests, and adhering to existing project conventions. Experience with NestJS, REST APIs, and authorization is necessary. Using DTOs and OpenAPI documentation are bonus points.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Resolve the issue causing test failures when upgrading Go SDK versions within the OpenFeature Go contributions repository. The problem stems from Minimal Version Selection (MVS) in Go workspaces, where upgrading a single module's Go SDK beyond v1.13.1 breaks tests in other modules. The solution likely involves adjusting module dependencies and/or resolving MVS conflicts to ensure compatibility across all modules.
Community maintained OpenFeature Providers and Hooks for Go
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go-sdk-contrib provides community-supported OpenFeature providers and hooks for Go, extending the core OpenFeature SDK's functionality. It addresses the need for diverse integration options and custom feature flag management capabilities within Go applications.
AI Summary: Implement a GET endpoint in a NestJS application to retrieve a specific game category by its slug. The endpoint should handle valid and invalid slugs, returning a 404 for non-existent slugs. Unit tests and API documentation are required.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: The task is to create a tag release for the FitPal fitness tracking application's frontend. The issue is that the team member attempting to create the tag is encountering problems. Assistance is needed to troubleshoot the tagging process and successfully create a release tag to allow for easy rollback to the current frontend state before backend development begins.
S1 CITS3403 project
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This project, CITS3403-group-57, lacks a defined description or README, preventing a specific summary. Therefore, no problem solved or key features can be identified from the provided information.
AI Summary: Improve the user experience of the MetaSearch Chrome extension by enhancing the loading spinner/indicator during LLM queries. This involves replacing the existing spinner with a more visually appealing and informative loading animation, potentially using skeleton screens or animated dots within individual response cards instead of a single spinner for the entire popup.
Query ChatGPT, Claude, and Gemini simultaneously from any webpage. Compare LLMs instantly with MetaSearch
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The metasearch-extension allows users to simultaneously query ChatGPT, Claude, and Gemini directly from any webpage. This solves the problem of needing to switch between different LLM interfaces by providing a unified, comparative search experience.
AI Summary: Develop the core puzzle engine for LogiQuest, a logic game. This involves designing the architecture, implementing interfaces for various puzzle types, creating a solution validation framework, calculating puzzle difficulty, handling puzzle generation, serialization/deserialization, and instance management. The engine must support multiple puzzle types using an interface-driven design with patterns like factory and strategy for creation and validation, ensuring extensibility.
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The logiquest_api project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
AI Summary: Update the tldr page for the `nix` command to link directly to its online documentation at https://nix.dev/manual/nix/stable/command-ref/new-cli/nix instead of the general NixOS manual. This involves modifying the existing Markdown file in the tldr-pages repository and submitting a pull request.
📚 Collaborative cheatsheets for console commands
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tldr is a collaborative project that addresses the problem of easily accessing and sharing console command cheatsheets. It provides a platform for users to create, edit, and share concise summaries of commands, improving productivity and knowledge sharing.
AI Summary: The task is to modify the Templifly Maven plugin's configuration schema and code to make the `apiVersion` field in the `maven-templify.yml` file optional. If absent, it should default to `v1`. This involves updating the YAML schema validation and the plugin's configuration loading logic to handle the absence of the `apiVersion` field gracefully.
A Maven plugin for automating template-based configurations and placeholder replacements across XML, JSON, Java, and more
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templify is a Maven plugin that streamlines configuration management by automating template-based file generation. It solves the problem of repetitive manual configuration updates across various file types (XML, JSON, Java, etc.) by replacing placeholders with actual values, improving efficiency and reducing errors.
AI Summary: The task is to modify the `Hex` class in the `pyIPCS` Python library to make it JSON serializable. This involves implementing a method (e.g., `__json__` or overriding `toJSON`) within the `Hex` class that converts the internal hex representation into a JSON-compatible format (likely a string). Testing will be required to ensure the modified class functions correctly in various scenarios, including those identified in the issue description (e.g., within dictionaries and specific pyIPCS objects).
Python interface to IPCS
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pyIPCS is a Python interface for IPCS, simplifying interaction with the IPCS system. It streamlines the process of accessing and manipulating IPCS data, eliminating the need for direct IPCS command-line usage. Key features include simplified data access and manipulation through Python.
AI Summary: Implement a DELETE endpoint for puzzle deletion, accessible only to admin users. The endpoint should validate admin privileges, handle invalid IDs and non-existent puzzles appropriately (returning 403 Forbidden or 404 Not Found errors respectively), and perform a hard or soft delete of the puzzle and associated data as per the project's data retention policy. Unit tests and Swagger documentation updates are recommended.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: The task is to fix a bug in the Apache DataFusion Rust API where the `contains` function is incorrectly documented and declared without accepting any parameters, while it should accept two: the string and the search pattern. The solution involves correcting the function's signature and documentation to reflect its intended behavior.
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: Create a static 'Frequently Asked Questions' page for the Tickeasy concert ticketing system. The page will contain only static content, no API interaction is required. The design should match the provided mockup image.
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The 'frontend' project lacks a description and README, making it difficult to summarize its purpose and features. Further information is needed to provide a meaningful summary.
AI Summary: Implement a secured REST API endpoint (`POST /game-categories`) in NestJS to allow admin users to create new game categories. This involves input validation, database schema updates, authentication/authorization middleware, error handling, and unit testing. The endpoint will be used for the NFT Scavenger Hunt game.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Implement a fix in the Nuxt framework to prevent a double view transition effect in Safari when using the View Transition API, specifically addressing the issue caused by Safari's default swipe gesture for back/forward navigation. This likely involves detecting the user-agent's transition and conditionally disabling Nuxt's transition.
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 problem of complex Vue.js application development by offering a streamlined structure and developer experience, resulting in faster loading times and improved SEO.
AI Summary: Adjust the color scheme of the Min Neovim theme to improve the visual appearance of the snacks.nvim explorer and avante.nvim plugins. This involves modifying the theme's configuration to match the background color of the editor for better integration.
Porting Min Theme from Visual Studio Code to Neovim.
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min-theme.nvim ports the popular Min theme from Visual Studio Code to Neovim, providing a clean and minimalist coding experience. It offers a consistent look and feel across both editors, enhancing developer productivity and visual comfort.
AI Summary: Investigate and resolve flaky unit tests in the thesis controller. The likely cause is improper state management across tests, requiring a review of the testing methodology and potentially refactoring of the test suite.
Initial work on thesis controller.
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This project represents the initial development phase of a thesis controller. It lays the groundwork for the core functionality and addresses the problem of managing and controlling thesis-related data and processes. Further development will build upon this foundation.
AI Summary: The user is experiencing an error ('lame: not found') when using the `transcode` command within the `smoked-salmon` Docker container. The task is to troubleshoot and resolve this error, ensuring the `lame` MP3 encoder is correctly installed and accessible within the Docker environment. This likely involves verifying the Dockerfile, ensuring the necessary packages are included in the image, and potentially adjusting the Docker run command to mount the necessary libraries.
Tasty code, lightly smoked for extra flavor. No fishy business
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The 'smoked-salmon' project aims to provide clean, efficient, and well-documented code. It focuses on readability and maintainability, solving the problem of difficult-to-understand or poorly-structured codebases.
AI Summary: The task involves migrating the publishing of Docker images from GitHub Container Registry (GHCR) to a public repository. This is necessary to avoid the requirement of an imagePullSecret for accessing the images.
Initial work on thesis controller.
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This project represents the initial development phase of a thesis controller. It lays the groundwork for the core functionality and addresses the problem of managing and controlling thesis-related data and processes. Further development will build upon this foundation.
AI Summary: Enhance the start.sh script for the DeepThink project to include active readiness checks before launching dependent services (Ollama, LangChain, Gradio). This involves polling API health endpoints or verifying port availability to prevent failures due to initialization delays. The goal is to ensure a robust and reliable container startup sequence.
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Deepthink is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, no problem it solves or key features can be summarized.
AI Summary: Debug why the `GetWarehouses` function in the go-novapost library returns an empty response when querying for warehouses in Lviv. The issue may stem from the library's handling of the API request, potentially related to the `system: "DevCentre"` parameter or other discrepancies between the library's request and the NovaPoshta API's expectations. The solution involves inspecting the API request made by the library, comparing it to the expected request format, and modifying the library's code to correct any inconsistencies.
A simple wrapper-library for NovaPost API.
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go-novapost is a Go library providing a simple wrapper for the NovaPost API. It simplifies integration with NovaPost's shipping services, allowing developers to easily manage shipments and access relevant data within their Go applications.
AI Summary: Implement a `--exclude_letters` flag in the `hillclimb.py` script to restrict the alphabet used during the hill climbing algorithm for finding high-scoring Boggle boards. This involves modifying the script to filter out specified letters and words containing those letters from the dictionary, improving performance by reducing the search space.
Trying to find the highest-scoring Boggle board with a mix of C++ and Python
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The hybrid-boggle project aims to efficiently find the highest-scoring Boggle board by leveraging the strengths of both C++ and Python. It combines C++ for performance-critical pathfinding and Python for potentially easier data handling and potentially more flexible board generation or scoring logic.
AI Summary: The task requires conducting detailed profiling of existing zkVM implementations (Jolt, Nexus, RISC Zero, SP1, ZKM, OpenVM, Novanet, Pico) to identify performance bottlenecks, memory access patterns, and execution trace patterns. This involves using profiling tools like flamegraph to analyze the proving process within each zkVM and potentially requires familiarity with the internal workings of each zkVM.
Fair&Comprehensive zkVM benchmarks
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zkvm-benchmarks provides fair and comprehensive benchmarks for zero-knowledge virtual machines (zkVMs). It addresses the lack of standardized evaluation for zkVMs by offering a robust framework for comparing performance and resource utilization across different implementations. Key features include a standardized testing methodology and a suite of representative workloads.
AI Summary: Modify the DevGuard scan daemon to prevent it from scanning asset versions belonging to deleted assets. This involves adding a check within the daemon's logic to verify the `deleted_at` column before processing any asset version. The goal is to ensure that only active assets are scanned, improving efficiency and preventing unnecessary processing of obsolete data.
DevGuard Backend - Manage your CVEs seamlessly, Integrate your Vulnerability Scanners, Security Framework Documentation made easy, Compliance to security Frameworks - OWASP Incubating Project
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DevGuard streamlines vulnerability management by integrating with various scanners and simplifying security framework documentation. It addresses the challenge of efficiently tracking and managing CVEs, ultimately improving compliance with security standards like OWASP.
AI Summary: The task is to improve the pgmpy library's XDSL reader to handle whitespaces in variable names. This involves adding error handling and potentially automatic replacement of whitespaces with underscores during model loading from XDSL files. A warning should also be issued to alert users about the presence of whitespaces in variable names.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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pgmpy is a Python library addressing the need for efficient Bayesian Network analysis. It provides tools for learning network structure and parameters, performing probabilistic and causal inference, and running simulations, simplifying complex probabilistic reasoning tasks.
AI Summary: Implement a confirmation popup before deleting an instance in the VSCode Instance Manager application. The popup should mirror the existing 'Sync Extensions' popup in design and functionality, providing 'Cancel' and 'Delete' options and clearly warning users about the permanent nature of instance deletion. This involves creating a new modal component and integrating it with the existing instance deletion logic.
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The project's purpose and key features are undefined due to missing project description and README. Therefore, a concise summary cannot be provided.
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The Company-Profile project, while lacking a detailed description, likely aims to create a comprehensive profile of a company. This would involve gathering and presenting key information such as company history, leadership, products/services, and financial performance. The key features would depend on the specific implementation but could include data visualization and easy-to-navigate interfaces.
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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: Develop a Flutter application and a corresponding website page that allows users to upload code snippets to the CodeForge MySQL database. The Flutter app should handle user authentication and securely transmit code to the existing CodeForge backend for storage.
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The project 'codeforge' 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: Correct a spelling error in the Enatega admin dashboard. The word "Stakeholders" is misspelled as "Stackholders" above the Growth Overview graph on the homepage. The task involves locating the misspelled word within the admin dashboard's codebase and correcting it.
Enatega is a fully realized and customizable food delivery application that can be used to set up your own order/delivery management system. For more information, visit the Enatega product page: 🚀🛒📦🌐
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Enatega is a customizable multi-vendor food delivery application solving the need for a flexible order and delivery management system. Key features include full application functionality and easy customization to fit individual business needs.
AI Summary: Integrate Crowdin into the KonBase project to enable multi-language support. This involves setting up a Crowdin project, implementing i18n using a suitable library (e.g., react-i18next), configuring automated syncing between the repository and Crowdin for translation updates via pull requests, and documenting the translation workflow for developers and translators.
All-in-one platform for conventions to manage inventory, track equipment, and streamline logistics.
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Konbase is a comprehensive platform designed to simplify convention management by centralizing inventory management, equipment tracking, and logistical processes. It solves the problem of fragmented systems by providing a single, integrated solution for all convention-related needs, improving efficiency and reducing administrative overhead.
AI Summary: Implement smooth left/right slide animations for step transitions within a multi-step loan offer form using only Tailwind CSS. The animation should be subtle (around 300ms) and use `transition-transform`, `duration-300`, and conditional `translate-x-*` classes. The goal is to improve the user experience by making the transitions feel more fluid and polished without impacting form functionality or performance.
TrustBridge is a decentralized platform for secure and transparent P2P microloans. It facilitates direct lending between users, eliminating intermediaries and enhancing financial inclusion.
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dApp-TrustBridge is a decentralized platform solving the problem of access to microloans by enabling secure and transparent peer-to-peer lending. It eliminates intermediaries, reducing costs and increasing financial inclusion through direct lending between users.
AI Summary: Correct a typo in the Mastra documentation for the `createVectorQueryTool()` function. The parameter `enableFilters` should be changed to `enableFilter` in the specified section of the documentation.
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 the creation of assistants and RAG systems with observability features. It supports various LLMs like GPT-4, Claude, Gemini, and Llama, offering flexibility and broad compatibility.
AI Summary: Debug and fix an incorrect PNG transformation within the xbdm_gdb_bridge's texture tracing functionality for the NV2A (GPU) interactions. The issue specifically involves handling of Linear x8r8g8b8 textures (format 0x1E) where the alpha channel is incorrectly incorporated during conversion. The fix should ensure the alpha channel is dropped, resulting in a correct PNG representation without data loss, matching the direct rendering of the texture bin.
Creates a GDB RSP Server <-> XBOX XBDM bridge for debugging with the original XBOX devkit
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xbdm_gdb_bridge facilitates debugging of original Xbox devkits by bridging the XBDM (Xbox Debug Monitor) and GDB (GNU Debugger) protocols. This allows developers to use the familiar GDB interface for debugging Xbox software, overcoming limitations of the native XBDM debugging environment.
AI Summary: Convert all PNG and JPG images used in the Holes game client-side application to WebP format to improve performance. This requires using an online converter and thorough testing afterwards to ensure functionality remains unaffected.
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The project's 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: Enhance the Holes game tutorial by adding images, GIFs, clearer and concise language, page numbers, and mention of local storage for saving progress. The goal is to make the tutorial more visually appealing and easier to understand.
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The project's 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: Implement a NestJS API endpoint (/puzzles/verify) that accepts user puzzle solutions, verifies them against stored correct answers, updates user progress and points upon successful verification, and returns appropriate success/failure responses with error handling. Unit tests are required.
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The `scavenger-hunt-backend` project is a backend system designed to support scavenger hunt applications. It likely handles tasks such as managing clues, tracking player progress, and providing an API for client applications to interact with the hunt data.
AI Summary: Create a new sprite for a utility airlock in the Space Station 14 game, Sunrise Station server. The sprite should be based on existing cargo and off-site utility airlock sprites. Collaboration with others is encouraged.
Билд сервера Sunrise Station в игре Space Station 14.
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The sunrise-station project focuses on building a server for the Space Station 14 game. It aims to provide a stable and enjoyable gameplay experience for players, likely featuring custom configurations or modifications to the base game.
AI Summary: Modify the mobile navbar's styling in a React application to change the background color to #2563EB, set text and close icon colors to white, and add a line-through effect on hover. This requires CSS adjustments to address visibility issues caused by the current white background.
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The AG-Tech-II-Project lacks a provided description or README, preventing a detailed summary. Without further information, its purpose and features remain unknown.
AI Summary: The task is to remove the `findIndex` polyfill from the Prebid.js codebase. This involves identifying all instances of the polyfill's usage, verifying if they are still necessary (given the polyfill's limited use), and then safely removing the polyfill and any associated code, ensuring that the functionality remains intact and tests pass.
Setup and manage header bidding advertising partners without writing code or confusing line items. Prebid.js is open source and free.
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Prebid.js is an open-source, code-free solution for managing header bidding advertising partners. It simplifies the complex process of setting up and managing header bidding, eliminating the need for manual code implementation and confusing line items. This allows publishers to maximize ad revenue efficiently.
AI Summary: The task involves removing a polyfill for the `Array.from` method from the Prebid.js codebase. This polyfill is only used in three locations, making the removal relatively straightforward. The changes should be tested to ensure functionality remains unaffected.
Setup and manage header bidding advertising partners without writing code or confusing line items. Prebid.js is open source and free.
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Prebid.js is an open-source, code-free solution for managing header bidding advertising partners. It simplifies the complex process of setting up and managing header bidding, eliminating the need for manual code implementation and confusing line items. This allows publishers to maximize ad revenue efficiently.
AI Summary: The task is to enhance the `go-github` library to support cursor-based pagination for listing issues. This involves adding `after` and `before` parameters to the `github.IssueListByRepoOptions` struct and updating the corresponding API call to use these parameters when the API returns a 422 error indicating that page-based pagination is not supported.
Go library for accessing the GitHub v3 API
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The go-github project provides a Go library for interacting with the GitHub v3 REST API. It offers a comprehensive set of functions to access various GitHub resources and features, supporting authentication via OAuth tokens and handling pagination and rate limiting.
AI Summary: Improve ALKiln's error handling for zip file creation, specifically addressing buffer overflow errors caused by invalid or overly long filenames. This involves sanitizing filenames before zip creation and gracefully handling missing zip files by omitting the zip download rather than crashing.
Integrated automated end-to-end testing with docassemble, puppeteer, and cucumber.
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ALKiln solves the problem of cumbersome and manual end-to-end testing for docassemble applications by integrating automated testing with puppeteer and Cucumber. This allows for efficient and reliable testing of the entire application workflow, improving software quality and reducing development time.
AI Summary: Delete the `.github/workflows/label_checker.yml` file, which is a CI workflow for label checking, from the traO Judge project.
traO Judge ジャッジ
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The project, traO-Judge-judge, lacks a clear description in the provided context. Without further information, its purpose and key features remain undefined. More details are needed to provide a meaningful summary.
AI Summary: Debug a Pomodoro timer application. The issue is that the tomato visual representation of completed Pomodoro sessions persists even when the timer is stopped prematurely after multiple sessions. The bug needs to be fixed so that the tomatoes disappear when the timer is stopped before a full session is completed.
pomodoro timer
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beepo is a Pomodoro timer application designed to improve focus and productivity by breaking work into intervals separated by short breaks. Key features likely include customizable timer settings and perhaps tracking of work sessions.
AI Summary: Debug and fix a focus issue in the Deep Chat component's text input after message submission. The issue is specific to the Safari browser and involves ensuring the input remains focused to facilitate seamless message entry. The fix should maintain functionality in other browsers.
Fully customizable AI chatbot component for your website
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deep-chat is a customizable AI chatbot component easily integrated into websites. It solves the problem of needing a readily available and adaptable chatbot solution, offering users a seamless and personalized conversational experience.
AI Summary: Debug a potential numerical error in the velocity calculation of DiskElements within the PyRolL Pillar Model plugin. The issue seems to stem from a slight discrepancy in area calculations between the initial profile and the first disk element, leading to inaccurate velocity results. The task involves investigating the source of this discrepancy (numerical precision or a bug in the area calculation) and correcting it to ensure accurate velocity computations.
Plugin for PyRolL providing basic data structures for discretization of a Profile and a RollPass into Pillar Elements.
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pyroll-pillar-model is a PyRolL plugin that simplifies the process of simulating rolling mills. It provides data structures for representing roll passes and profiles as pillar elements, enabling easier discretization for numerical modeling. This facilitates more efficient and accurate simulations of metal rolling processes.
AI Summary: Implement a runtime price retrieval mechanism for the Google Cloud Karpenter provider, leveraging the GCP Cloud Billing API to calculate instance prices, including CPU, RAM, GPU, sustainable usage discounts, and disk costs. This involves replacing the current reliance on a third-party pricing calculator with a more accurate and integrated solution.
Google Cloud Karpenter Provider
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karpenter-provider-gcp is a Kubernetes provider for Karpenter, enabling automated node provisioning on Google Cloud Platform (GCP). It simplifies cluster scaling by automatically launching and terminating GCP Compute Engine instances based on workload demands, eliminating manual node management.
AI Summary: Correct a typographical error in the "Generic Derivations" vignette of the admiral R package. This involves identifying the typo from a provided screenshot and making the correction in the vignette's source code.
ADaM in R Asset Library
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Admiral is an R library providing tools for creating ADaM (Analysis Data Model) datasets. It simplifies the complex process of ADaM dataset creation, improving efficiency and reducing errors in clinical trial data analysis.
AI Summary: Debug and fix a React component (likely a custom switch component) where the thumb isn't visually updating to reflect the true/false state of the switch. This involves inspecting the component's code, identifying the cause of the visual glitch (e.g., incorrect styling, missing state updates, or issues with event handling), and implementing the necessary corrections.
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YARCL 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 test the ability of the `ros2env` VS Code extension to manage multiple ROS2 environments, specifically focusing on the ability to simultaneously run and switch between environments using different ROS2 distributions (e.g., Humble and Jazzy) to address the issue of needing features available only in newer distributions while relying on a large number of packages compatible with older distributions. This involves creating environments with different ROS2 versions, installing necessary packages, and verifying functionality across versions.
Visual Studio Code Extension for managing ROS2 environments.
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ros2env is a Visual Studio Code extension simplifying ROS2 environment management. It streamlines the process of creating, switching between, and managing different ROS2 workspaces and environments, improving developer workflow and reducing configuration overhead.
AI Summary: The task is to fix Helm chart templating issues in the OpenClarity project. Specifically, several YAML files within the Helm charts are failing to correctly template map values due to missing or incorrect `toYaml` functions. The solution involves adding or correcting the `toYaml` function calls in the affected templates (service-headless.yaml, daemonset.yaml, and service.yaml) to ensure proper rendering of map values during Helm template execution.
OpenClarity is an open source tool built to enhance security and observability of cloud native applications and infrastructure
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OpenClarity is an open-source tool addressing the challenge of securing and observing cloud-native environments. It enhances security posture and provides improved visibility into application and infrastructure behavior.
AI Summary: Optimize Parquet file compression in a Kubernetes-native noisy neighbor collector by implementing column-specific encodings (DELTA_BINARY_PACKED and dictionary encoding) in the Parquet writer, verifying their application, and documenting the improvement in compression ratio. This involves investigating why previous attempts failed and ensuring correct usage of Parquet writer properties and column paths.
Unvariance collector: a Kubernetes-native collector for monitoring memory subsystem interference between pods
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The 'collector' project addresses the problem of monitoring memory interference between Kubernetes pods. It's a Kubernetes-native solution providing insights into memory subsystem contention, enabling improved resource allocation and performance optimization.
AI Summary: The task is to modify the OpenClarity project to allow connecting to an externally hosted, SSL-enabled PostgreSQL database. This likely involves adding configuration options (environment variables or a configuration file) to specify SSL connection parameters, similar to a previous feature request in KubeClarity. The solution should ensure secure communication with the database.
OpenClarity is an open source tool built to enhance security and observability of cloud native applications and infrastructure
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OpenClarity is an open-source tool addressing the challenge of securing and observing cloud-native environments. It enhances security posture and provides improved visibility into application and infrastructure behavior.
AI Summary: Set up a NestJS backend for a Stellar-based e-commerce platform, including basic modules for authentication, jewelry management, and Soroban contract interaction. The setup involves creating a new NestJS project, defining core modules, and installing necessary packages like `stellar-sdk` and `dotenv` for environment variable management. The server should start successfully, and the defined modules should be registered.
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Due to the lack of provided project description or README, a concise summary of the project 'Feminini' cannot be generated. More information is needed to understand its purpose, problem it solves, and key features.
AI Summary: Fix the alignment issue in the Roles tab of the keyshade application. The members list is currently misaligned and needs to be adjusted to the start of its flex container.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: The user needs help understanding the GPUDrive project's core components and how to begin training or evaluating agents. Specifically, they want to know if `env_torch.py` is the primary entry point or if another file should be prioritized for understanding the system.
1 million FPS multi-agent driving simulator
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gpudrive is a high-performance driving simulator capable of simulating one million agents per second. This addresses the need for realistic and scalable testing and training environments for autonomous driving systems, offering significant speed improvements over existing solutions.
AI Summary: Update the Astro blog tutorial documentation to include instructions on configuring Netlify build settings (build command: `astro build`, publish directory: `dist`) to prevent build failures. This may involve adding text and an image illustrating the Netlify configuration.
Astro documentation
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The 'docs' project provides comprehensive documentation for the Astro static site generator. It aims to help users quickly learn and effectively utilize Astro's features, solving the problem of readily accessible and well-organized information for Astro developers.
AI Summary: Implement end-to-end (e2e) tests for the service within the Kubernetes operator. This involves creating tests in `operator/test/e2e/service_test` to verify the service's functionality within a real Kubernetes cluster, addressing the current lack of comprehensive testing.
Initial work on thesis controller.
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This project represents the initial development phase of a thesis controller. It lays the groundwork for the core functionality and addresses the problem of managing and controlling thesis-related data and processes. Further development will build upon this foundation.
AI Summary: Set up Swagger documentation for a thesis controller service to improve understandability of API paths and functionality. This involves configuring Swagger and adding comments to the service code.
Initial work on thesis controller.
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This project represents the initial development phase of a thesis controller. It lays the groundwork for the core functionality and addresses the problem of managing and controlling thesis-related data and processes. Further development will build upon this foundation.
AI Summary: The task is to debug and fix a dependency injection issue in the Spiral framework when using repository interfaces in a Domain-Driven Design (DDD) approach. The problem arises when resolving repository interfaces defined in the domain layer and implemented in the infrastructure layer. The solution likely involves correctly configuring the dependency injection container to resolve the interface to its concrete implementation, potentially adjusting how Spiral's Cycle ORM interacts with custom repository interfaces.
High-Performance PHP Framework
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The 'framework' project is a high-performance PHP framework designed to streamline web application development. It addresses the need for efficient and robust application building by providing a solid foundation with key features yet to be defined in the provided context.
AI Summary: The task is to add documentation to the Stardew Valley multiplayer server Docker project explaining how to package a legally obtained copy of the Stardew Valley game files into a tar.gz archive for use with the Docker image. This involves detailing the steps to locate the game files, create the archive, and transfer it to the server.
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stardew-multiplayer is a mod that addresses the single-player limitation of Stardew Valley by enabling cooperative multiplayer gameplay. Key features include shared farming, resource management, and relationship building among players, enhancing the overall gaming experience.
AI Summary: Implement a centralized configuration module in a NestJS project using the `@nestjs/config` package. This involves creating a configuration file, a helper function, registering the module globally in the main application module, and validating environment variables. The goal is to enable easy and secure access to environment variables throughout the application.
Backend: Teachlink is a platform for technocrat where knowlege, skills, ideas, and information that can bring about development and improvement can be shared, dissected, you can also earn from it.
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teachLink_backend provides a platform for technocrats to share knowledge, skills, and ideas, fostering development and improvement. It addresses the need for a centralized hub for technical expertise and offers a mechanism for users to monetize their contributions.
AI Summary: Adjust the spacing to the right of user profile pictures in the mobile view of the replies list on the Cofacts rumors website. This involves modifying the UI layout to reduce excessive whitespace, likely requiring adjustments to CSS or styling within the React component responsible for rendering the replies list. Reference materials include the provided project README and meeting notes link.
Rumors list / creation UI, with server-side rendering
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The rumors-site project provides a user interface for creating and listing rumors, leveraging server-side rendering for improved performance and SEO. Key features include a user-friendly interface for rumor creation and a comprehensive list view for browsing existing rumors.
AI Summary: Translate the English README.md file for the GaiaNet node project into Turkish and save it as README-tr.md in the same GitHub repository.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: The task is to make the C-based raycasting game, currently running on Windows, also executable on Linux. This involves addressing any platform-specific code or dependencies that prevent successful compilation and execution on a Linux system.
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Doom-Clone is a project that recreates the classic first-person shooter, Doom. It aims to provide a similar gameplay experience with updated graphics or features, depending on the implementation. The project likely focuses on replicating the core mechanics and level design of the original game.
AI Summary: Translate the English README.md file for the GaiaNet AI project into Russian and save it as README-ru.md in the same GitHub repository.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: Translate the English README.md file for the GaiaNet AI project into Portuguese (Brazilian or European, specifying which). The translation should be accurate and reflect the original meaning and intent, and saved to README-pt.md in the project's GitHub repository.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: Translate the English README.md file for the GaiaNet AI project into Korean and save it as README-kr.md in the same GitHub repository.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: Translate the English README.md file for the GaiaNet node project into Indonesian and save it as README-id.md in the same GitHub repository.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: Implement a feature in ungoogled-chromium to enable Encrypted Client Hello (ECH) independently of DNS over HTTPS (DoH). This involves either creating a policy configuration or adding a command-line flag to allow users to activate ECH even when DoH is unavailable or undesirable.
Google Chromium, sans integration with Google
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ungoogled-chromium provides a Chromium browser without Google's proprietary components, addressing privacy concerns by removing Google services and data collection. Key features include a clean, customizable browser experience focused on user privacy and control.
AI Summary: Translate the English README.md file for the GaiaNet node project into Japanese and save it as README-ja.md in the same GitHub repository. The translation should be accurate and preserve the original meaning and tone.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: Fix a bug in PondPilot where null values in CSV files are displayed incorrectly in the data preview and query results. The issue manifests differently depending on the data type (number, string, date). The fix should ensure null values are displayed consistently as empty cells or appropriate null representations.
A lightweight local first SQL analytics tool. Get your data 🦆 in a row
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pondpilot is a lightweight, local-first SQL analytics tool designed for efficient data analysis without relying on cloud services. Its key feature is the ability to perform SQL queries directly on local data, prioritizing speed and privacy.
AI Summary: Create documentation for the beman.optional C++ library, which provides extensions to std::optional. The documentation should cover usage, examples, and potentially address the range support and optional reference features implemented in the library. The goal is to make the library easier to use and understand for developers.
std::optional extensions targeting C++26
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This project extends the C++26 `std::optional` type, enhancing its functionality and addressing limitations. Key features likely include improved usability, performance optimizations, and potentially new functionalities not present in the standard library.
AI Summary: Translate the English README.md file for the GaiaNet AI project into Persian and place the translation in the README-fa.md file within the same GitHub repository. Accuracy and preservation of the original meaning are crucial.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: Investigate why the '#' character in song filenames on modland.com prevents the cmod xmplay plugin from downloading them. This requires examining the plugin's data handling, specifically the expected encoding during the download/listing process, likely involving character encoding and potentially the DDE (Dynamic Data Exchange) interaction with xmplay.
cmod is an xmplay plugin to play songs hosted on modland
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cmod-xmplay is an xmplay plugin designed to seamlessly integrate Modland's song library into the xmplay music player. It solves the problem of accessing and playing Modland's extensive collection of music directly within xmplay, eliminating the need for separate players or manual file management.
AI Summary: Determine and write appropriate licenses for various components of the OpenPanel project, including the UI container, default templates, hosted services (country code API, IP check, temporary links, update server, WHMCS licensing, etc.), and OpenCLI scripts. This requires expertise in software licensing.
A highly customizable web hosting control panel built with Docker 🐳
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OpenPanel is a customizable web hosting control panel leveraging Docker for easy deployment and management. It solves the problem of needing a flexible and easily deployable control panel by offering a highly configurable solution built with modern technologies.
AI Summary: Implement NUT 09 specification using gRPC instead of RPC for the Paynet node. This involves creating a `Restore` endpoint and message within the node's protobuf definition, adapting the existing codebase to utilize gRPC for this functionality.
A privacy-preserving payment network. Enabling seamless off-chain transactions with bearer tokens backed by on-chain assets.
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Paynet is a privacy-preserving payment network that solves the problem of slow and expensive on-chain transactions. It achieves this through seamless off-chain transactions using bearer tokens, while maintaining the security and transparency of on-chain asset backing.
AI Summary: The task requires maintaining and testing a WHMCS module for the OpenPanel web hosting control panel. This involves familiarity with both WHMCS and OpenPanel, and access to a server with OpenPanel installed. The goal is to ensure the module's continued functionality and stability.
A highly customizable web hosting control panel built with Docker 🐳
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OpenPanel is a customizable web hosting control panel leveraging Docker for easy deployment and management. It solves the problem of needing a flexible and easily deployable control panel by offering a highly configurable solution built with modern technologies.
AI Summary: Translate the English README.md file for the GaiaNet AI project into Arabic. The translation should be accurate and reflect the original meaning and intent. The translated file should be submitted as README-ar.md.
Install and run your own AI agent service
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gaianet-node allows users to easily install and run their own AI agent service. This solves the problem of needing centralized access to AI capabilities by enabling decentralized, self-hosted AI agents. Key features include simplified installation and management of the agent service.
AI Summary: The task requires maintaining and testing the FOSSBilling module for the OpenPanel web hosting control panel. This involves familiarity with FOSSBilling, OpenPanel, and server administration. A server with OpenPanel already installed is needed for testing.
A highly customizable web hosting control panel built with Docker 🐳
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OpenPanel is a customizable web hosting control panel leveraging Docker for easy deployment and management. It solves the problem of needing a flexible and easily deployable control panel by offering a highly configurable solution built with modern technologies.
AI Summary: Optimize the Rust code generator for Google Cloud Platform client libraries to combine consecutive literal string matchers in routing information. This involves modifying the code generator to concatenate literal strings after parsing routing annotations, improving efficiency by reducing the number of comparisons needed.
Google Cloud Platform Rust [Experimental] Client Libraries
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The `google-cloud-rust` project provides experimental Rust client libraries for interacting with Google Cloud Platform services. It addresses the need for native Rust clients, offering improved performance and integration within Rust-based applications.
AI Summary: The task requires testing and maintaining a cPanel import module for OpenPanel, a web hosting control panel. This involves using a cPanel backup and a server with OpenPanel installed to test the module's functionality and ensure its stability and reliability. The goal is to improve the module's ability to seamlessly transfer accounts from cPanel to OpenPanel.
A highly customizable web hosting control panel built with Docker 🐳
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OpenPanel is a customizable web hosting control panel leveraging Docker for easy deployment and management. It solves the problem of needing a flexible and easily deployable control panel by offering a highly configurable solution built with modern technologies.
AI Summary: The project's current schedule (Cronograma) needs revision. The first four sprints don't align with the ScrumXP methodology, lacking implementation. Sprints 5 and 6 focus solely on requirements and representation, neglecting implementation. The task requires aligning the project schedule with the ScrumXP process, ensuring a balanced distribution of implementation tasks across all sprints.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-ExtraGestao is a project developed for the REQ-T2 course. It addresses an unspecified problem related to resource management (implied by 'ExtraGestao' suggesting extra management). Further details about its specific features are unavailable due to missing documentation.
AI Summary: The task involves testing new versions of the OpenPanel web hosting control panel. This includes testing updates from previous versions and clean installations on a Ubuntu 24.04 VPS. The tester will need a VPS with the ability to reinstall the OS. In return, the tester receives a free lifetime OpenPanel Enterprise license and is listed as a contributor/maintainer.
A highly customizable web hosting control panel built with Docker 🐳
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OpenPanel is a customizable web hosting control panel leveraging Docker for easy deployment and management. It solves the problem of needing a flexible and easily deployable control panel by offering a highly configurable solution built with modern technologies.
A JIT compiler for hybrid quantum programs in PennyLane
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Catalyst is a just-in-time (JIT) compiler designed to optimize the execution of hybrid quantum programs written in PennyLane. It addresses the performance bottleneck of interpreting quantum computations by compiling them into efficient native code, thereby accelerating the simulation and execution of hybrid quantum algorithms.
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The Library-system project aims to streamline library operations by providing a digital platform for managing books, members, and loans. Key features would include a user-friendly interface for searching, borrowing, and returning books, as well as administrative tools for managing inventory and member accounts.
AI Summary: Define the project's approach, lifecycle, and process for the REQ-T2 discipline. This involves outlining the chosen strategy for managing requirements throughout the project.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-ExtraGestao is a project developed for the REQ-T2 course. It addresses an unspecified problem related to resource management (implied by 'ExtraGestao' suggesting extra management). Further details about its specific features are unavailable due to missing documentation.
AI Summary: Improve the error messages of Tirith evaluators to be more descriptive and informative by including details such as the expected and actual values, and the key of the failing resource. This involves modifying the existing code to enhance the clarity of the output messages when an evaluation fails.
StackGuardian Policy Framework
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tirith, the StackGuardian Policy Framework, addresses the challenge of managing and enforcing security policies across complex cloud stacks. It provides a centralized platform for defining, deploying, and monitoring policies, ensuring consistent security posture and reducing operational overhead.
AI Summary: The task is to fix a bug in the Prusa 3D printer firmware (Buddy) where the M109 command incorrectly uses parameter 'F' instead of 'C' for fast nozzle cooling. This requires modifying the `thermalManager.wait_for_hotend` function to correctly interpret the 'C' parameter, resolving a conflict with Marlin's autotemp flag. The fix involves a simple code change, but requires understanding the firmware's codebase and testing the change to ensure correct functionality.
Firmware for the Original Prusa MINI, Original Prusa MK4, Original Prusa XL and Prusa CORE One 3D printers by Prusa Research.
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Prusa-Firmware-Buddy provides customized firmware for Original Prusa MINI, MK4, XL, and CORE One 3D printers. It addresses the need for tailored firmware settings beyond the factory defaults, offering enhanced functionality and control over printer operation.
AI Summary: Define the overall objective and specific objectives of a project management solution designed to improve internal organization, project tracking, and decision-making based on structured data. The solution aims to increase operational efficiency, time control, and financial predictability by addressing issues caused by generic tools and decentralized spreadsheets. The task involves connecting the solution's characteristics to the achievement of these objectives, demonstrating the value of each characteristic.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-ExtraGestao is a project developed for the REQ-T2 course. It addresses an unspecified problem related to resource management (implied by 'ExtraGestao' suggesting extra management). Further details about its specific features are unavailable due to missing documentation.
AI Summary: Resolve a flashing conflict on an ESP32-S3-Box-3 by disabling one of the two simultaneously enabled I²C drivers in the project's configuration. This will allow successful flashing of the firmware intended to control WLED devices.
Make it possible to have an ESP32-S3-Box-3 as a stationary controller for WLED devices in the same Network
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The ESP32-Box-WLED-Controller project allows for stationary control of WLED devices on the same network using an ESP32-S3-Box-3. It simplifies controlling multiple WLED devices by providing a centralized, easily accessible interface. This eliminates the need for individual device control and streamlines the management of smart lighting systems.
AI Summary: The task is to fix a bug in the Kernreaktor project, a Proxmox container orchestration system. The bug causes a 500 error when duplicate entries are created via a POST request due to an unhandled SQLalchemy exception. The solution involves either catching and handling the exception gracefully or implementing a check for duplicate entries before database insertion.
Kernreaktor — A fast, load-driven orchestration system for Proxmox containers. Secure, scalable, and optimised for intelligent resource management.
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Kernreaktor is a high-speed orchestration system designed to efficiently manage Proxmox containers. It addresses the need for secure and scalable container management by optimizing resource allocation and leveraging a load-driven approach. Key features include intelligent resource management and enhanced security.
AI Summary: Consolidate two identified problems (difficulty tracking tasks and managing finances in projects due to a lack of suitable solutions for small and medium teams) into a single, concise problem statement for a software project.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-ExtraGestao is a project developed for the REQ-T2 course. It addresses an unspecified problem related to resource management (implied by 'ExtraGestao' suggesting extra management). Further details about its specific features are unavailable due to missing documentation.
AI Summary: Define software quality procedures for the "Simplifica Terapia" project, ensuring the final product meets stakeholder expectations. This involves conceptualizing quality aspects and establishing processes to be followed by the development team throughout the project lifecycle.
pbe-ads-2025-1-tidai-5899101-2025-1-p3-tidai-Template-TIDAI created by GitHub Classroom
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The project, 2025-1-p3-tidai-simplificaterapia, aims to simplify a process (the specifics of which are undefined in the provided context). It leverages a template (TIDAI) likely for streamlining workflow and improving efficiency. Further details about the problem solved and key features are unavailable due to missing information.
AI Summary: Debug and fix rendering issues in Processing 4's shader examples caused by unexpected behavior at higher pixel densities (due to the default `pixelDensity` change in 4.4.3). This involves investigating the `shader()` implementation, identifying faulty assumptions related to `pixelDensity`, and correcting the code to ensure correct rendering across different display densities.
Processing is a flexible software sketchbook and a language for learning how to code.
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Processing4 is an open-source project that enhances the Processing visual programming language, improving its codebase and user experience. Key features include tooling improvements and increased contributor-friendliness, as well as a flexible sketchbook environment for learning to code.
AI Summary: Migrate the existing React frontend of a decentralized options trading application from JavaScript to TypeScript to improve type safety, API compatibility, and maintainability, particularly focusing on integrating web3dart APIs for interacting with smart contracts. This involves auditing the current codebase, updating project configurations, gradually migrating key components, and introducing TypeScript interfaces for blockchain interactions.
Decentralized options trading UI built with React and Web3.
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predifi-frontend is a decentralized options trading user interface built using React and Web3. It solves the problem of accessing decentralized options trading by providing a user-friendly and intuitive interface. Key features include streamlined trading functionality and integration with the Web3 ecosystem.
AI Summary: The task involves extending the Code Base Investigator (CBI) tool to support Windows. This includes ensuring the Git repository clones correctly on Windows, running unit tests to identify and fix any failures, and setting up regular Windows testing via GitHub Actions. The goal is to make CBI cross-platform compatible.
An analysis tool providing insight into the portability and maintainability of an application’s source code.
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code-base-investigator analyzes application source code to assess its portability and maintainability. It identifies potential issues hindering code reuse and long-term support, providing developers with actionable insights for improvement.
AI Summary: Enhance the ACI.dev agent creation form to include a selectable list of applications, allowing users to specify permitted applications directly during agent creation instead of requiring a separate configuration step.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
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aci.dev is an open-source platform enabling seamless integration of AI agents with 600+ tools. It solves the problem of connecting AI agents to various services by providing multi-tenant authentication, granular permissions, and access via function calls or a unified server. Key features include broad tool integration and robust access control.
AI Summary: Improve the user interface for managing allowed applications for an AI agent within the ACI.dev platform. The current UI is considered difficult to use due to small size and unclear color-coding. The proposed solution involves replacing the current display with a data table featuring checkboxes for individual app selection, a select-all option, search functionality, and sorting capabilities.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
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aci.dev is an open-source platform enabling seamless integration of AI agents with 600+ tools. It solves the problem of connecting AI agents to various services by providing multi-tenant authentication, granular permissions, and access via function calls or a unified server. Key features include broad tool integration and robust access control.
AI Summary: Migrate the ACI.dev frontend from Tailwind CSS v3 to v4. This involves updating the project to use the latest version of Tailwind CSS and addressing any compatibility issues that arise during the upgrade process. The upgrade should follow the official Tailwind CSS upgrade guide and potentially leverage resources from shadcn/ui.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
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aci.dev is an open-source platform enabling seamless integration of AI agents with 600+ tools. It solves the problem of connecting AI agents to various services by providing multi-tenant authentication, granular permissions, and access via function calls or a unified server. Key features include broad tool integration and robust access control.
AI Summary: Implement a UI enhancement to the ACI.dev 'Add Linked Account' form by displaying app icons alongside app names in the dropdown menu to improve user identification and experience. This involves integrating app icon retrieval and display within the existing form structure.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
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aci.dev is an open-source platform enabling seamless integration of AI agents with 600+ tools. It solves the problem of connecting AI agents to various services by providing multi-tenant authentication, granular permissions, and access via function calls or a unified server. Key features include broad tool integration and robust access control.
AI Summary: The task involves adding cursor rules files to the ACI.dev open-source project to potentially improve cursor performance. This requires determining the optimal location for the files (root level or separate frontend/backend files) and implementing the rules themselves. Prior research of the project's documentation and issue tracker is required.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
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aci.dev is an open-source platform enabling seamless integration of AI agents with 600+ tools. It solves the problem of connecting AI agents to various services by providing multi-tenant authentication, granular permissions, and access via function calls or a unified server. Key features include broad tool integration and robust access control.
AI Summary: The task is to implement multi-tenant support in the ACI.dev Unified MCP server without breaking existing functionality. This involves finding a solution to allow MCP clients to specify the `linked-account-owner-id` without modifying the existing `ACI_EXECUTE_FUNCTION` schema. Three potential solutions are proposed: adding a parameter to `ACI_EXECUTE_FUNCTION`, creating a new `set_owner_id` function, or introducing a new `ACI_SET_OWNER_ID` meta-function.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
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aci.dev is an open-source platform enabling seamless integration of AI agents with 600+ tools. It solves the problem of connecting AI agents to various services by providing multi-tenant authentication, granular permissions, and access via function calls or a unified server. Key features include broad tool integration and robust access control.
AI Summary: The task is to assign responsibility for the requirements within the "MeuCapilar" software project. The current issue highlights a lack of assigned ownership for each requirement, which needs to be addressed by assigning specific team members to be responsible for each requirement's definition, analysis, and implementation.
Repositório de projeto da disciplina de REQ-T2.
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MeuCapilar is a software project developed for the REQ-T2 course. It addresses an undefined problem (as the README is undefined), and further details about its features are unavailable without additional information.
AI Summary: Adjust the dates in the project's schedule. The current schedule shows conflicting dates for Sprints 2 and 3 (Sprint 3's dates are before Sprint 2's). The task involves correcting these dates to reflect a logical sequence.
Repositório de projeto da disciplina de REQ-T2.
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MeuCapilar is a software project developed for the REQ-T2 course. It addresses an undefined problem (as the README is undefined), and further details about its features are unavailable without additional information.
AI Summary: The task is to analyze a Python FastAPI project's README and GitHub issue template concerning a Gemini API proxy and load balancer. The goal is to understand the project's functionality, its configuration options, and the required format for submitting GitHub issues, summarizing this information in a concise paragraph.
gemini轮询代理服务
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gemini-balance is a polling proxy service designed to address the problem of unreliable connections or inconsistent responses from Gemini servers. It provides a stable interface by consistently polling and aggregating data, ensuring a reliable stream of information despite underlying network fluctuations.
AI Summary: The task involves developing a software solution to improve the productivity, eliminate rework, standardize diagnoses, and professionalize report delivery for a hair professional. The project is a university assignment focused on software requirements engineering, and the provided text is a project README and an issue describing a proposed solution.
Repositório de projeto da disciplina de REQ-T2.
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MeuCapilar is a software project developed for the REQ-T2 course. It addresses an undefined problem (as the README is undefined), and further details about its features are unavailable without additional information.
AI Summary: The task involves selecting appropriate technologies for a software project. This includes choosing a solution for image storage (AWS S3 or Firebase Storage), PDF generation (PDFMake or Puppeteer), AI integration (OpenAI's API or a similar model), and authentication (Firebase Auth or Auth0). The decision should consider factors like cost, ease of integration, and project requirements.
Repositório de projeto da disciplina de REQ-T2.
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MeuCapilar is a software project developed for the REQ-T2 course. It addresses an undefined problem (as the README is undefined), and further details about its features are unavailable without additional information.
AI Summary: The Homebrew `brew bump` command is failing to create pull requests for formula updates due to excessively long release notes exceeding the GitHub API's character limit. The task is to modify the `brew bump` command or its associated scripts to truncate long release notes before attempting to create a pull request, ensuring that the autobump process functions correctly.
🍺 The missing package manager for macOS (or Linux)
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Brew is a package manager for macOS and Linux that addresses the lack of a robust, user-friendly system for installing and managing software. It simplifies the process of installing command-line tools, libraries, and other software packages, offering a streamlined and efficient experience.
AI Summary: The task is to refactor the database schema for a mentorship platform to allow users to submit multiple survey responses. The current primary key design prevents this. Two solutions are proposed: either link survey tables to application records using a foreign key, or create a composite key using both user ID and session ID. The chosen solution needs to be implemented and tested.
Group #4 Project number #17
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The Transplant-Australia-Mentoring-Platform addresses the need for improved support and guidance for transplant recipients in Australia. Key features would likely include connecting mentors with mentees based on transplant type and experience, providing a secure communication platform, and offering resources to facilitate successful post-transplant journeys.
AI Summary: The task is to redesign the website for the VSM Barber Shop, breaking down the current single-page design into multiple, distinct pages for improved user experience and navigation. This is part of a larger software project aimed at improving the barbershop's internal management.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-GestaoVSM is a project repository for the REQ-T2 course. It addresses the need for a centralized location to manage project materials and likely focuses on Value Stream Management (VSM) principles. Further details about its specific features are unavailable from the provided information.
AI Summary: Improve the user interface (UI) of the ros2env project's webpage (https://sakshaymahna.github.io/ros2env/) to enhance its visual appeal and user experience. The existing text content is adequate, but the UI needs a redesign for better clarity and aesthetics.
Visual Studio Code Extension for managing ROS2 environments.
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ros2env is a Visual Studio Code extension simplifying ROS2 environment management. It streamlines the process of creating, switching between, and managing different ROS2 workspaces and environments, improving developer workflow and reducing configuration overhead.
AI Summary: Clarify the project's timeline by defining distinct project phases and outlining the steps within each phase. This involves creating a more detailed and structured project schedule that breaks down the work into manageable components.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-GestaoVSM is a project repository for the REQ-T2 course. It addresses the need for a centralized location to manage project materials and likely focuses on Value Stream Management (VSM) principles. Further details about its specific features are unavailable from the provided information.
AI Summary: The task is to clarify the rationale behind combining the Rapid Application Development (RAD) and OpenUP software engineering processes for the VSM barbershop management software project. This involves researching and understanding both methodologies and justifying their combined use in the project's context.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-GestaoVSM is a project repository for the REQ-T2 course. It addresses the need for a centralized location to manage project materials and likely focuses on Value Stream Management (VSM) principles. Further details about its specific features are unavailable from the provided information.
AI Summary: Determine how clients will interact with the barbershop's software. This involves deciding on a communication method (e.g., WhatsApp, online booking system) and outlining the client's interaction flow within the system.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-GestaoVSM is a project repository for the REQ-T2 course. It addresses the need for a centralized location to manage project materials and likely focuses on Value Stream Management (VSM) principles. Further details about its specific features are unavailable from the provided information.
AI Summary: The task is to add features to a software project for a barbershop's internal management. Specifically, the missing features are product registration, barber registration, and service registration. This involves designing, implementing, and testing these new functionalities.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-GestaoVSM is a project repository for the REQ-T2 course. It addresses the need for a centralized location to manage project materials and likely focuses on Value Stream Management (VSM) principles. Further details about its specific features are unavailable from the provided information.
AI Summary: Refine and clearly define the product objectives for a software solution designed to improve internal management for the VSM Barber Shop. The current objective is vague and needs significant improvement.
Repositório de projeto da disciplina de REQ-T2.
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2025.1-T02-GestaoVSM is a project repository for the REQ-T2 course. It addresses the need for a centralized location to manage project materials and likely focuses on Value Stream Management (VSM) principles. Further details about its specific features are unavailable from the provided information.
AI Summary: Develop a comprehensive Quiz Module for the LogiQuest game, including database schema design, entity creation (Quiz, QuizQuestion, QuizAnswer), repository and service layers with CRUD operations, RESTful API endpoints, input validation, pagination, filtering, search, versioning, access control, and comprehensive testing. The module should support various question types and handle quiz creation, reading, updating, and deletion with proper data integrity and security.
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The logiquest_api project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
AI Summary: Develop a comprehensive achievement tracking system for the LogiQuest game, including database schema design for achievements and user progress, implementation of trigger conditions and awarding mechanisms, achievement history and notification systems, and statistical aggregation. The system should be event-driven and efficient, integrating with existing notification services.
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The logiquest_api project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
This page is to host a visural code complier to be used with computer craft
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CC-VisuralCodeing provides a visual code compiler for ComputerCraft, addressing the challenge of writing and debugging code directly on the in-game computer. Key features include a visual interface simplifying code creation and potentially enhanced debugging capabilities.
AI Summary: Improve the error handling in the `containertool` within the Swift Container Plugin. Specifically, enhance the error messages for authentication failures to provide more context than just a generic "403" error code. This involves debugging the authentication process within the tool and modifying the error reporting to include details such as the specific cause of the authentication failure (e.g., incorrect credentials, invalid token, etc.).
Swift Package Manager plugin for building container images
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The swift-container-plugin is a Swift Package Manager plugin that simplifies the process of building container images. It directly integrates container image building into the Swift development workflow, eliminating the need for separate build processes and streamlining the deployment of Swift applications.
AI Summary: The task requires adding Plotinus's works (Porphyry's Life of Plotinus, and Enneads I-VI) to the existing database of Greek and Latin conjectural emendations. The data should be formatted according to the project's Wiki guidelines and submitted as a pull request to the GitHub repository. Notification of changes to the NT conjectures section should also be sent to the upstream database.
Database of Greek and Latin Conjectural Emendations Attested in MSS
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The 'attested-conjectures' project addresses the challenge of accessing and studying conjectural emendations in Greek and Latin manuscripts by creating a comprehensive database. This database catalogs emendations found in existing manuscripts, providing scholars with a valuable resource for textual criticism and the study of classical literature.
AI Summary: Implement a Deposit Modal UI component for the Spherre Protocol frontend. The modal should appear when a 'Deposit' button is clicked and offer two deposit options: via address or connected wallet. The UI should match the Figma design provided.
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., securely managing and sharing data] by providing [insert key features, e.g., a user-friendly interface and robust backend infrastructure].
AI Summary: Debug and fix a bug where status messages are not saved when set for certain dates in the New Expensify web application. The bug is reproducible in both staging and production environments and affects Android mWeb Chrome users. The task involves investigating the issue, identifying the root cause, implementing a fix, and thoroughly testing the solution across relevant 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: Define specific objectives for a multiplatform application that uses computer vision to automatically grade answer sheets. The objectives should align with the application's features, which include digitizing answer sheets, identifying answers, generating reports, and analyzing student performance. This is to improve efficiency and reduce costs for a company preparing students for the UnB's Programa de Avaliação Seriada (PAS).
https://mdsreq-fga-unb.github.io/2025.1-T01-CORIGGE/
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2025.1-T01-CORIGGE addresses the challenge of managing and analyzing large datasets related to the Brazilian National Institute of Space Research (INPE). It provides tools for data processing, visualization, and analysis, facilitating research and decision-making within the INPE context.
AI Summary: The task is to analyze the provided Elementor project README and GitHub issue to understand that the issue announces the release of Elementor and Elementor Pro beta version 3.29.0. The instructions direct users to report bugs via a bug report link, feature requests via a feature request link, and other comments directly on the announcement discussion thread. No action is required beyond understanding the information provided.
The most advanced frontend drag & drop page builder. Create high-end, pixel perfect websites at record speeds. Any theme, any page, any design.
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Elementor is a drag-and-drop page builder plugin for WordPress that allows users to create visually appealing websites quickly and easily. It solves the problem of complex website building by providing an intuitive interface and eliminating the need for coding. Key features include a wide range of design elements, responsive design capabilities, and seamless integration with WordPress.
AI Summary: Modify the OWDDM website's landing page to display a disabled link to the latest event if that event is in the past. This involves checking the event date against the current date and conditionally rendering the link accordingly. The goal is to prevent users from clicking on a past event link.
Website for Osaka Web Designers and Developers Meetup (OWDDM)
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owddm.github.io is a website for the Osaka Web Designers and Developers Meetup (OWDDM), solving the problem of providing a central online hub for event information, member communication, and community building. Key features include event scheduling, announcements, and potentially member profiles or forums.
AI Summary: The task is to add documentation for the CSS `anchor-scope` property to MDN Web Docs. This involves researching the property's specification, writing clear and concise documentation, and submitting a pull request to the MDN Web Docs repository.
The content behind MDN Web Docs
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This project provides the underlying content for MDN Web Docs, a comprehensive resource for web developers. It addresses the need for accurate, up-to-date, and collaboratively-maintained documentation on web technologies, offering a vast library of articles, tutorials, and API references.
AI Summary: The task is to improve the display of the subline (text under the main message) in the Nextcloud Talk Android app when the last message is an attachment with a caption. Currently, the Android app shows the attachment indicator but not the beginning of the caption, unlike the web version. The goal is to make the Android app's subline display consistent with the web version by showing the caption's beginning.
📱😀 Video & audio calls through Nextcloud on Android
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talk-android brings video and audio calling capabilities to Nextcloud on Android devices. It solves the problem of lacking integrated communication features within the Nextcloud ecosystem by providing a native Android app for seamless calls. Key features include video and audio call functionality directly integrated with Nextcloud.
AI Summary: Update the Node.js version requirement in the `package.json` file of the Aries Framework JavaScript REST API project from 18.19.0 to a newer LTS version (e.g., 20.x), ensuring compatibility with all dependencies. Also update any Node.js version mentions in the project's documentation (README.md).
Controller Service for Credo REST extension
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The credo-controller project provides a RESTful controller service for the Credo extension, enabling seamless integration and management of Credo's functionalities through a standardized API. This solves the problem of needing a dedicated interface for interacting with Credo, offering improved accessibility and interoperability.
AI Summary: Implement a Profile tab within a Settings page, including a profile photo display with a 'Change Photo' button (dummy action sufficient), and editable fields for First Name, Last Name, and Email Address, along with a 'Save Changes' button. The design should match a provided Figma design, support dark mode, be responsive, and include proper spacing, margins, and hover states. No backend integration is needed.
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The stellopay-frontend project is a user interface for a payment system, likely providing a streamlined and user-friendly experience for managing financial transactions. Without further information, specific features remain unknown, but it aims to solve the problem of complex or inconvenient online payment processes.
AI Summary: Implement a progress bar for folder hashing in the hTorrentCreatorCLI C++ command-line application. The current version displays a progress bar for individual files but not for directories. The solution should be compatible with Alpine Linux.
An open source C++ command line torrent creator.
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hTorrentCreatorCLI is an open-source command-line tool written in C++ that solves the problem of needing a simple and efficient way to create torrent files. Its key feature is providing a straightforward command-line interface for generating torrent files without requiring a graphical user interface.
AI Summary: Debug a SQLite error in the cmod-xmplay xmplay plugin. The plugin, designed to play music from modland.com, is encountering a SQLite database error preventing it from functioning correctly within xmplay 4. The task involves analyzing the provided error messages and screenshots to identify and resolve the underlying database issue.
cmod is an xmplay plugin to play songs hosted on modland
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cmod-xmplay is an xmplay plugin designed to seamlessly integrate Modland's song library into the xmplay music player. It solves the problem of accessing and playing Modland's extensive collection of music directly within xmplay, eliminating the need for separate players or manual file management.
AI Summary: Implement pagination for the product list view in an Angular e-commerce application. This involves creating a paginated display of products, allowing users to navigate through pages and select the number of items per page. The goal is to improve user experience when dealing with large product catalogs.
A modern, responsive, and user-friendly interface that allows customers to browse products, add items to the cart, and complete purchases seamlessly. It ensures a smooth shopping experience with dynamic UI components and efficient state management.
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Angular-ecommerce is a responsive e-commerce application built with Angular, providing a seamless online shopping experience. It solves the problem of creating a user-friendly and efficient online store by offering features such as product browsing, cart management, and secure checkout. The application utilizes dynamic UI components and efficient state management for optimal performance.
AI Summary: The user is encountering a `ModuleNotFoundError` when running the provided `demo.py` script from the Kimi-Audio project. The error indicates that the `kimia_infer.models.tokenizer.glm4.speech_tokenizer` module cannot be found, despite installing the project's requirements. The task is to debug this import error, potentially involving investigation of the project's directory structure, dependencies, and possibly correcting a missing module or path.
Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation
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Kimi-Audio is an open-source foundation model addressing the need for robust audio processing capabilities. It excels in understanding, generating, and engaging in conversations using audio, offering a versatile toolkit for various audio-related applications.
AI Summary: Design and implement a database schema for the LogiQuest game, including puzzle content, categories, tags, solution validation, difficulty ratings, versioning, localization, and metadata. The schema should be normalized, efficiently indexed, and support content versioning and localization.
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The logiquest_api project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
AI Summary: Implement a dark mode toggle in the TeachLink web application's header. This involves configuring Tailwind CSS for dark mode, creating a theme provider to manage theme state using local storage for persistence, adding a toggle button to the header, ensuring all components support dark mode styling, and respecting the user's system preference as a default.
Frontend: Teachlink is a platform for technocrat where knowlege, skills, ideas, and information that can bring about development and improvement can be shared, dissected, you can also earn from it.
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teachLink_web is a platform connecting technocrats to share knowledge, skills, and ideas for mutual development and improvement. It offers a space for collaborative learning and provides opportunities to earn income through knowledge sharing.
AI Summary: Implement a responsive search component with autocomplete for TeachLink, allowing users to search for courses, instructors, and topics. This includes creating a search bar, autocomplete dropdown with categorized results, handling keyboard navigation, a dedicated search results page, and implementing search filters and sorting options, along with saving search history for logged-in users. The search functionality needs to be integrated into the existing React frontend.
Frontend: Teachlink is a platform for technocrat where knowlege, skills, ideas, and information that can bring about development and improvement can be shared, dissected, you can also earn from it.
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teachLink_web is a platform connecting technocrats to share knowledge, skills, and ideas for mutual development and improvement. It offers a space for collaborative learning and provides opportunities to earn income through knowledge sharing.
AI Summary: Implement a feature allowing users to leave a workspace, with the constraint that users cannot leave the default workspace or a workspace where they are the sole member. This involves frontend UI updates (button enabling/disabling logic) and backend API modifications (endpoint already exists). Figma designs and API endpoint documentation are provided.
Realtime secret and configuration management tool, with the best in class security and seamless integration support
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Keyshade is a real-time secret and configuration management tool that solves security and integration challenges by using public key encryption with elliptic curve cryptography. Its key features include live updates, multiple environments, versioning, secret rotation, access control, and various integrations for simplified, secure configuration management.
AI Summary: Extend the existing `spherical` Python package to include a curated database of ZIMPOL observations from the ESO VLT/SPHERE instrument. This involves identifying relevant FITS header keywords, adapting the existing database schema, and potentially modifying data processing pipelines to handle ZIMPOL-specific data formats. The task requires careful analysis of ZIMPOL data headers to determine overlapping keywords with existing IRDIS and IFS data and to identify any unique keywords needed for a comprehensive ZIMPOL database.
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The project 'spherical' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Enhance the MCP Memory Service to utilize MCP Prompts for dynamic query generation during memory retrieval and expose ChromaDB collections as MCP Resources for external access. This involves modifying the server code to handle prompt calls and resource listing/reading, adding error handling, and implementing pagination for large collections. Unit and integration tests are also required.
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
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The mcp-memory-service project enhances Claude's capabilities by providing persistent semantic memory. It leverages ChromaDB and sentence transformers to store and retrieve information effectively, solving the problem of context loss and enabling more robust conversational interactions.
AI Summary: Design and implement a comprehensive Leaderboard Module Resource for the LogiQuest game. This involves designing database schemas, creating entities and repositories, developing RESTful APIs with CRUD operations, implementing pagination, filtering, anti-cheat mechanisms, and robust testing. The module should support various scoring metrics, time periods (daily, weekly, monthly, all-time), and categories, and include features like leaderboard recalculation, snapshotting, and user progress tracking.
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The logiquest_api project lacks a description and README, making its purpose and features unclear. Without further information, a concise summary cannot be provided.
AI Summary: Integrate React and TypeScript into FasBone, while maintaining full compatibility, and develop a task runner for the project. This involves significant code changes and potentially refactoring existing components to accommodate the new technologies.
FasBone is a JAMstack methodology that automatically generates backend APIs from predefined SQL. Its frontend, the successor to Backbone.JS, uses WebAssembly and supports CGI, SSG, and CSR. It lacks a task runner and SSR, but any compression can be done manually.
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FasBone is a JAMstack framework streamlining backend development by automatically generating APIs from SQL definitions. Its frontend, built with WebAssembly, offers flexibility through CGI, SSG, and CSR support, though it omits a task runner and SSR.
AI Summary: The task is to add unit tests to the `calc_aero_forces!` function within the `KPS4.jl` file of the KiteModels.jl Julia package. These tests should verify the accuracy of aerodynamic force calculations for three specific side-slip angles: 0°, -45°, and +45°. This involves writing Julia code to call the function with the specified inputs and comparing the outputs against expected values.
Kite and tether models for the simulation of kite power systems
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KiteModels.jl provides a Julia package for simulating kite power systems. It offers models for kites and tethers, enabling researchers and engineers to analyze system dynamics and optimize performance. Key features include flexible modeling options and efficient numerical solvers.
AI Summary: Debug and fix a bug in the LibreDWG library's DWG file writer related to the `HANDSEED` header variable. The issue causes AutoCAD to report file corruption when writing DWG files containing more than a few primitives. The task involves understanding the purpose of `HANDSEED`, determining the correct calculation or setting of its value, and implementing a robust solution that prevents AutoCAD's corruption warnings.
Official mirror of libredwg. With CI hooks and nightly releases. PR's ok
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libredwg is a mirrored repository of the libredwg project, providing continuous integration and nightly releases for improved reliability and accessibility. It aims to solve the problem of inconsistent access to the original libredwg source code by offering a stable and readily available version.
AI Summary: Modify the color of the table button in the bookstore application to match the color of the card buttons for improved visual consistency.
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The Book_Store project is a (presumably) e-commerce application designed to solve the problem of providing a convenient online platform for buying and selling books. Key features would likely include browsing capabilities, search functionality, user accounts, and a secure checkout process.
AI Summary: Fix a React component's dropdown menu to prevent overlap with the menu trigger when the menu contains many items. This likely involves CSS adjustments to control the dropdown's size and position, potentially using techniques like overflow, max-height, or absolute positioning.
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YARCL 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 a full-screen mode for the video comparison tool. This involves adding a command-line switch and a hotkey to toggle full-screen, ensuring that videos maintain their aspect ratio without stretching when in full-screen mode.
Split screen video comparison tool using FFmpeg and SDL2
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video-compare is a split-screen video comparison tool built with FFmpeg and SDL2. It solves the problem of easily comparing two videos side-by-side for differences or analysis. Key features include simultaneous playback and customizable screen layouts.
AI Summary: Add a smile graphic or icon to the project. The specific implementation details (e.g., type of smile, location in the project) are not provided, requiring further clarification.
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Sitechanged 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: Change the default save format for Cataclysm: Bright Nights from the older V1 format to the newer, presumably improved V2 format. This involves modifying the game's code to automatically use V2 unless explicitly overridden by the user.
Cataclysm: Bright Nights, A fork/variant of Cataclysm:DDA by CleverRaven.
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Cataclysm: Bright Nights is a variant of the popular post-apocalyptic survival game Cataclysm: Dark Days Ahead. It offers modified gameplay mechanics and potentially new content, providing players with a refreshed experience within the familiar Cataclysm universe.
AI Summary: Modify the Human Essentials inventory management system to ensure that summary reports (donations, distributions, purchases) accurately reflect the 'issued at' date instead of the creation date in their time descriptions. This involves updating the report generation logic and adding automated tests to verify the changes.
Human Essentials is an inventory management system for diaper, incontinence, and period-supply banks. It supports them in distributing to partners, tracking inventory, and reporting stats and analytics.
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Human Essentials is an inventory management system designed to streamline operations for diaper, incontinence, and period-supply banks. It addresses the challenge of efficiently tracking inventory, distributing supplies to partners, and generating crucial reports and analytics for these organizations.
AI Summary: Develop a complete admin panel for TimelyCapsule, including login, dashboard, capsule management, and user management pages. This involves integrating existing UI components and creating mock API calls for data fetching, ensuring seamless navigation and future integration with the actual backend APIs. The design should adhere to the provided Figma design specifications and project coding standards.
Welcome to Timely Capsule, your ultimate platform for sending and receiving messages across time!
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Timely Capsule is a web application that solves the problem of delayed message delivery, allowing users to schedule and send messages to be received at a specified future date and time. Key features include secure message storage and reliable delivery, offering a unique way to share memories, plans, or surprises across time.
AI Summary: This task involves upgrading the Go version used in the Kubeflow Trainer project from an unspecified version to 1.24. This includes updating the `go.mod` file, the Dockerfile, the golangci-lint version in the Makefile, and the CONTRIBUTING.md file to reflect the change. The goal is to ensure compatibility with the newer Go version and maintain a consistent development environment.
Distributed ML Training and Fine-Tuning on Kubernetes
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Trainer simplifies distributed machine learning training and fine-tuning by leveraging Kubernetes. It addresses the challenges of scaling ML workloads by providing a streamlined, efficient platform for managing and orchestrating training processes across multiple nodes.
AI Summary: Remove the defunct Twitter link from the OWDDM website's homepage. This involves locating the link within the AstroJS and Vue.js codebase and removing it, ensuring the page remains functional and visually appealing after the removal.
Website for Osaka Web Designers and Developers Meetup (OWDDM)
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owddm.github.io is a website for the Osaka Web Designers and Developers Meetup (OWDDM), solving the problem of providing a central online hub for event information, member communication, and community building. Key features include event scheduling, announcements, and potentially member profiles or forums.
AI Summary: Debug and fix a bug in the Expensify ComposeBox where clicking a mention repeatedly adds extra characters. The bug is reproducible in staging and production on Android HybridApp, iOS HybridApp, mWeb Chrome/Safari, and MacOS Chrome/Safari/Desktop. The fix should be cross-platform compatible.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Debug and fix a bug in an Astro project where themes flicker to light mode during link navigation. The fix should ensure theme persistence across navigation, and include root cause identification, reproduction steps verification, updated tests, and potentially documentation updates.
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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 Data Engineering Wiki project has a link checker report indicating three broken links: one is a timeout error, and two are 404 errors pointing to `https://bit.ly/dataengwiki`. The task is to investigate these broken links, determine the correct URLs (if any), and update the wiki accordingly. This includes updating the `README.md`, `BACKERS.md`, `Tools/Benthos.md`, and `Index.md` files.
The best place to learn data engineering. Built and maintained by the data engineering community.
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The data-engineering-wiki project addresses the lack of a centralized, community-maintained resource for learning data engineering. It provides a comprehensive knowledge base built and curated by the data engineering community itself, offering a collaborative and up-to-date learning experience.
AI Summary: Implement a steganography feature within an existing Django application that uses OpenSSL for asymmetric encryption. This involves adding functionality to hide and reveal secret messages within files using the existing encryption/decryption key pairs.
Encrypting and decrypting
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The Encrypter-decrypter project provides a simple solution for encrypting and decrypting data. It offers a user-friendly interface (though specifics are undefined without a README) for securing sensitive information. The project's core functionality focuses on providing robust encryption and decryption capabilities.
AI Summary: The task involves adding a Time-To-Live (TTL) configuration option for tail sampling within the APM integration policy UI of Kibana. This requires updating the UI to accept a TTL setting and ensuring it correctly integrates with the APM server's functionality, following existing documentation style guidelines. The work is part of a larger effort to improve APM functionality.
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 data discovery tools, solving the problem of making complex data readily accessible and interpretable.
AI Summary: Implement a 'return to' functionality after user login in the Quranic Universal Library (QUL) application. This involves modifying the login process to store the intended URL before redirecting to the login page, and then redirecting the user to that stored URL after successful authentication. The current behavior redirects users to the landing page after login, regardless of their previous location.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: Replace hardcoded special tokens (BOS/EOS) in the speech-to-text (STT) modules of the React Native ExecuTorch library with dynamically generated values from the HuggingFace tokenizers API. This involves modifying the `sttDefaults.ts` file to utilize the tokenizer API instead of fixed values.
Declarative way to run AI models in React Native on device, powered by ExecuTorch.
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react-native-executorch provides a declarative approach to executing AI models directly on mobile devices within React Native applications. Leveraging ExecuTorch, it simplifies the integration of on-device AI, eliminating the need for complex cloud-based solutions and improving performance and privacy.
AI Summary: Contribute to the Tech Sphere Community Projects Playground by selecting a project from the provided list, based on your skill level. Projects range from simple (e.g., a greeting app) to advanced (e.g., a Flask web app). Alternatively, if you prefer, explain a programming concept using everyday analogies. Complete the project or explainer, and submit a pull request for review and merging.
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TECH-SPHERE is a project whose purpose and features are currently undefined due to missing project description and README information. Therefore, a concise summary cannot be provided.
AI Summary: Debug and fix a bug in the Expensify app's profile settings where the street address is duplicated when a suggested address (not including "Ho Chi Minh") is selected. The bug is reproducible on Android and iOS HybridApp, mWeb Chrome/Safari, and MacOS Chrome/Safari. 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: Update the font of the 'Build' component tile on the Flatbush Mixtape x Architecture and Advocacy Gridbeam Project website to PT Mono Bold for consistency with physical guides.
A companion website for the Flatbush Mixtape x Architecture and Advocacy Gridbeam Project
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fm-ana-gridbeam is a companion website supporting the Flatbush Mixtape and Architecture & Advocacy Gridbeam project. It likely provides supplementary information, resources, or interactive elements related to the project's goals, potentially focusing on community engagement or architectural analysis within the Flatbush area.
AI Summary: Implement a new `XmlVisitor` in the Advanced Record Utils annotation processor to handle writing collections of `CharSequence` (like `String`) to XML. This involves extending the existing XML serialization functionality to support iterables of strings, requiring modifications to the visitor pattern and potentially the XML generation logic.
An annotation processor designed to assist with deeply nested record structures
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The `advanced-record-utils` project addresses the challenges of working with deeply nested record structures in Java by providing an annotation processor. It simplifies data handling and reduces boilerplate code for complex record hierarchies, improving developer productivity and code maintainability.
AI Summary: Update the design of the build tiles on the Flatbush Mixtape x Architecture and Advocacy Gridbeam Project companion website. The current tiles display only a colored background representing the category. The updated design should feature a border with the category color and a background image of the build object, similar to the provided example images.
A companion website for the Flatbush Mixtape x Architecture and Advocacy Gridbeam Project
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fm-ana-gridbeam is a companion website supporting the Flatbush Mixtape and Architecture & Advocacy Gridbeam project. It likely provides supplementary information, resources, or interactive elements related to the project's goals, potentially focusing on community engagement or architectural analysis within the Flatbush area.
AI Summary: The task is to investigate and resolve a bug in the Dify platform (version 1.2+) where the Knowledge Nav feature is unresponsive and cannot be switched on or off. The bug affects both cloud and self-hosted deployments (Docker and source code). The issue includes a screenshot illustrating the problem.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
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Dify is an open-source platform for rapidly developing LLM applications. It simplifies the process by integrating AI workflows, RAG pipelines, agent capabilities, and model management into a user-friendly interface, enabling quick prototyping and deployment.
AI Summary: Create a responsive landing page for the TimelyCapsule application, matching a provided Figma design. This involves using Next.js, React, Tailwind CSS, and the noshadcn component library. The page should be visually accurate, responsive across various devices, and adhere to the project's design language.
Welcome to Timely Capsule, your ultimate platform for sending and receiving messages across time!
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Timely Capsule is a web application that solves the problem of delayed message delivery, allowing users to schedule and send messages to be received at a specified future date and time. Key features include secure message storage and reliable delivery, offering a unique way to share memories, plans, or surprises across time.
AI Summary: Update the etcd version used by the Kubermatic Kubernetes Platform to 3.5.21, aligning with the Kubernetes recommendation in https://github.com/kubernetes/kubernetes/pull/131144. This likely involves modifying dependency specifications, rebuilding affected components, and thorough testing to ensure compatibility and stability.
Kubermatic Kubernetes Platform - the Central Kubernetes Management Platform For Any Infrastructure
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Kubermatic is a central management platform for Kubernetes clusters, solving the challenge of deploying and managing Kubernetes across diverse infrastructures. Its key features include simplified cluster creation, centralized monitoring, and streamlined operations for improved efficiency and scalability.
AI Summary: Implement a monthly view in the Super Productivity task scheduler, allowing users to view and schedule tasks beyond one week in advance. This involves modifying the existing calendar view to support a monthly display format and potentially adjusting data handling to accommodate a larger timeframe.
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, Gitlab, GitHub and Open Project.
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Super Productivity is a powerful todo list application designed to boost productivity by combining timeboxing and time tracking features. Its key strength lies in its seamless integrations with popular project management tools like Jira, GitLab, GitHub, and OpenProject, allowing for centralized task management and progress tracking.
AI Summary: Create a website section detailing the construction guides for a small shelf, large table, and large chair (bench), as part of the Flatbush Mixtape x Architecture and Advocacy Gridbeam Project companion website.
A companion website for the Flatbush Mixtape x Architecture and Advocacy Gridbeam Project
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fm-ana-gridbeam is a companion website supporting the Flatbush Mixtape and Architecture & Advocacy Gridbeam project. It likely provides supplementary information, resources, or interactive elements related to the project's goals, potentially focusing on community engagement or architectural analysis within the Flatbush area.
This upgraded SDK significantly reduces compilation dependencies, introduces ROS2 and Python interfaces, enhances synchronization accuracy, improves data protocol transparency, simplifies configuration, and adds extended logging for better debugging and system insights.
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InfiniteSenseSDK2.0 streamlines sensor integration by minimizing compilation dependencies and offering ROS2 and Python interfaces. Key improvements include enhanced synchronization, transparent data protocols, simplified configuration, and extensive logging for easier debugging.
AI Summary: Implement a comprehensive chess time control system for the StarkMate.ai platform, supporting bullet, blitz, rapid, and classical time formats with increment and delay options. This involves designing a time control module, updating the database schema, integrating with the WebSocket server for real-time updates, handling timeouts and disconnections, and ensuring accurate server-side timekeeping to prevent manipulation. FIDE standards should be followed, and thorough testing is required.
StarkMate.ai - The free, decentralized chess platform syncretizing intelligent agents and humans. ♞
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StarkMate is a free, decentralized chess platform that connects human players with AI agents. It aims to improve chess skills and provide a unique, accessible playing experience through its decentralized and AI-integrated design.
AI Summary: Move the existing docker-compose.yaml file from AutoMQ's CDN to the project's GitHub repository. Update the file to use best practices, enable S3WAL mode by default, switch the storage backend from LocalStack to MinIO, and update the README to reflect the change, providing a streamlined quick start guide.
AutoMQ is a cloud-native alternative to Kafka by decoupling durability to S3 and EBS. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency.
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AutoMQ is a cost-effective, cloud-native messaging system that replaces Kafka, achieving 10x cost savings by leveraging S3 and EBS for durability. Key features include eliminating cross-AZ traffic costs, instant autoscaling, and single-digit millisecond latency.
AI Summary: Troubleshoot a Hotpoint dishwasher displaying an F15 error code. This involves analyzing an image and video of the malfunctioning appliance to determine the cause of the error and suggest a solution. The goal is to provide troubleshooting steps or recommend professional repair if necessary.
🏡 👩💻 💡 home is where you can [learn to] build the future surrounded by like-minded creative, friendly and [intrinsically] motivated people focussed on health, fitness and making things people and the world need!
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The 'home' project fosters a community of health-conscious, creative individuals focused on building impactful projects. It provides a supportive environment for learning and collaboration, enabling members to develop solutions for real-world needs.
AI Summary: The task involves fixing accessibility issues in the Kibana's Snapshot and Restore Add policy page. Specifically, the issue is that screen readers (like NVDA) do not announce the field names correctly, only placeholder text. The solution requires adding appropriate labels or attributes to the UI elements to ensure proper screen reader announcements, aligning with WCAG guidelines.
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 data discovery tools, solving the problem of making complex data readily accessible and interpretable.
AI Summary: Debug a styling issue in a WPF PropertyGrid control. The issue arises when the PropertyGrid is bound to an object implementing IDataErrorInfo. The goal is to determine why a shared style is not applied correctly to TextBoxEx controls within the PropertyGrid when IDataErrorInfo is implemented and provide a solution.
Custom controls for WPF: PropertyGrid, DataGrid, multi-select TreeView, ColorPicker and more
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PropertyTools provides a suite of custom WPF controls, including a PropertyGrid, DataGrid, multi-select TreeView, and ColorPicker, solving the need for enhanced UI elements beyond standard WPF offerings. These controls offer improved functionality and customization options for developers building WPF applications.
AI Summary: Review and improve the existing test suite for the `go-chanstreaming` library. The current tests primarily cover happy paths and lack sufficient coverage for edge cases. The task involves assessing the value and completeness of each test, adding new tests to address gaps in coverage, and potentially refactoring existing tests for clarity and efficiency.
A lightweight library for building concurrent data processing and streaming pipelines using channels
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go-chanstreaming is a lightweight Go library simplifying the creation of concurrent data processing pipelines. It leverages Go channels to efficiently manage data flow between stages, enabling parallel processing and improved performance for streaming applications.
AI Summary: Investigate and resolve issues related to semantic highlighting in Visual Studio Code when using the Jedi Language Server. This involves analyzing existing reports (linked in the issue description) and potentially debugging interactions between the language server and the VS Code Python extension.
A Python language server exclusively for Jedi. If Jedi supports it well, this language server should too.
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jedi-language-server is a Python language server built on top of the Jedi library, providing robust code completion, linting, and other IDE features. It aims to offer a high-quality language server experience by directly leveraging Jedi's existing capabilities, ensuring feature parity where possible.
AI Summary: The task involves investigating and resolving a discrepancy between the cancellation policy displayed in the New Expensify application and the actual policy on Spotnana. This requires comparing the policies across multiple platforms (Android, iOS, web, desktop) and potentially updating the New Expensify application to reflect the correct policy from Spotnana. Debugging may involve examining logs and potentially modifying code within the New Expensify codebase.
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 and fix a bug in the New Expensify application where expense reports disappear from the Left Hand Navigation (LHN) after opening a transaction thread header in the Right Hand Panel (RHP). The bug is reproducible on macOS using Chrome and Safari browsers and is impacting the user experience. The task involves investigating the issue, identifying the root cause, and implementing a fix that ensures expense reports remain visible in the LHN after opening the report header.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
More
New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Implement a CI/CD pipeline to automate the creation of release builds for Seraph, an open-source SSH manager, across macOS, Linux, and Windows platforms. This involves integrating with a CI/CD platform (e.g., GitHub Actions, GitLab CI, etc.) and configuring it to build the Electron application for each target OS.
Open source ssh manager
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Seraph is an open-source SSH manager designed to simplify the management of multiple SSH connections. Key features likely include streamlined connection management, potentially including features like session saving and organization, addressing the common problem of juggling numerous SSH sessions.
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OTLMOW-Template 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: Fix a visual bug in the New Expensify web app where the cursor is displayed above the "Start" button in the Distance expense creation flow when scrolling the address list on iOS Safari. The bug is reproducible in both staging and production environments. The task involves debugging and fixing the issue to ensure the cursor is hidden as expected.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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 issue is that the DeepSeek LLM, used within the LlamaIndex.TS framework for Retrieval Augmented Generation (RAG), does not support tool calls, which are necessary for the FunctionAgent. The task requires investigating why DeepSeek lacks tool call support, potentially identifying a workaround (e.g., using a different LLM that supports tool calls), or modifying the LlamaIndex.TS FunctionAgent to accommodate LLMs without tool call functionality.
Data framework for your LLM applications. Focus on server side solution
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LlamaIndexTS is a server-side data framework designed to simplify the integration of large language models (LLMs) into applications. It addresses the challenge of efficiently managing and querying data for LLM applications, offering key features for streamlined data access and processing.
A comprehensive, community-driven hub for technical interview Q&A! 🎯 Python 🐍, JavaScript 🟨, Java ☕, Git 🐙 & more—from beginner to advanced levels. Contribute & excel! 💡✨
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TechInterviewMaster is a collaborative platform addressing the challenge of preparing for technical interviews. It offers a vast library of questions and answers covering various programming languages and technologies, catering to all skill levels. Users can contribute, learn, and improve their interview skills through community engagement.
AI Summary: Refactor the rendering of a Sierpinski pyramid in a space exploration game from raymarching to rasterization using BabylonJS. This involves creating a function to generate vertex data for a mesh, replacing the existing raymarching code, and potentially optimizing with a compute shader. The goal is to improve performance, enable collision detection, and simplify occlusion.
A space exploration game with a fully simulated universe running in the browser
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CosmosJourneyer is a browser-based space exploration game offering a fully simulated universe. It solves the problem of limited and repetitive space game experiences by providing a vast, dynamic environment for players to explore and interact with. Key features include a realistic physics engine and procedurally generated celestial bodies.
AI Summary: Debug and fix a React component (Popover) where the popup is not rendering in the correct position; it's always appearing in the top-left corner. This likely involves inspecting the component's positioning logic and potentially adjusting CSS or JavaScript code to correctly calculate and apply the popup's position relative to its trigger element.
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YARCL 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 involves debugging a UI issue in Expensify's expense report feature. Specifically, the Category and Tag columns are incorrectly displayed for peer-to-peer (p2p) expenses on the web and desktop versions (MacOS). The bug is reproducible in both staging and production environments, but not in the standalone New Expensify app. The solution requires identifying and fixing the code causing the erroneous display of these columns for p2p expenses.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Debug and fix a responsiveness issue in the Android HybridApp version of Expensify's Money Requests feature. The 'keep all' button in the review duplicates section is unresponsive and causes the app to crash. The bug is reproducible in staging and production environments, but not in the standalone New Expensify app. The fix should ensure the button remains responsive and prevents app crashes.
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 address the issue titled "Some Issue" within the project "randomCatFacts". The issue description is "Let's Fix IT", indicating a need for unspecified bug fixes or improvements. More information is needed to fully understand the required actions.
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The randomCatFacts project addresses the need for readily available, entertaining cat facts. Its key feature is the provision of a random cat fact upon request, offering a fun and engaging user experience.
AI Summary: Debug and fix a bug in the New Expensify app where deleting an expense after adding and removing a reaction results in an error page and inconsistent display of expense previews in chat and the Left Hand Navigation (LHN). The bug is reproducible on multiple platforms (Android, macOS). The fix requires understanding the app's architecture (Onyx, Actions, UI), debugging skills, and familiarity with React Native and potentially web development.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
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New Expensify is a chat-centric financial collaboration app that aims to improve upon the existing Expensify platform. Key features include cross-platform compatibility (iOS, Android, web, macOS), offline functionality, and a robust testing suite for continuous improvement. The project emphasizes a data-driven architecture utilizing Onyx for persistent storage and a clear separation of concerns between UI, Actions, and data management.
AI Summary: Add support for the Open VSX registry to the Ecosyste.ms package metadata API. This involves integrating the Open VSX API (specified via Swagger) to fetch and process package, version, and dependency information, and incorporating this data into the existing Ecosyste.ms platform.
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
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The 'packages' project is an open API service that addresses the need for readily accessible metadata on open-source software packages. It provides comprehensive information on package versions and dependencies across various ecosystems and registries, simplifying dependency management and software development.
AI Summary: Implement secure token and session management for the TimelyCapsule application using JSON Web Tokens (JWTs). This involves generating short-lived access JWTs and long-lived refresh tokens upon login, providing an endpoint to refresh access tokens using the refresh token, and securely handling token invalidation upon logout. Refresh tokens should be stored securely (either in the database or as HttpOnly cookies). Access tokens should expire after approximately 15 minutes.
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The `timelycapsule-services` project lacks a description and README, making its purpose unclear. Without further information, its problem-solving capabilities and key features cannot be summarized.
AI Summary: Improve the accessibility of the 'cat editor' in the Android Easter Eggs app, specifically addressing the difficulty of scrolling up when vertical screen space is limited due to the color picker occupying most of the touch area. This likely involves redesigning the UI layout to allow for easier vertical scrolling or alternative input methods for color selection.
Android Easter Egg Collections
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AndroidEasterEggs is a collection of Android Easter eggs, providing a comprehensive resource for users to discover and explore hidden features within different Android versions. It aims to solve the problem of finding and understanding these often-overlooked elements by compiling them in one easily accessible place.
Stride (formerly Xenko), a free and open-source cross-platform C# game engine.
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Stride is a free and open-source cross-platform game engine built with C#, solving the need for a versatile and accessible engine for game development. Its key features include cross-platform compatibility and a robust C# scripting environment.
AI Summary: Modify the Stride Game Studio's About window to display the contents of the MIT License and third-party licenses in a popup window using a markdown renderer, instead of relying on the system's default file association.
Stride (formerly Xenko), a free and open-source cross-platform C# game engine.
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Stride is a free and open-source cross-platform game engine built with C#, solving the need for a versatile and accessible engine for game development. Its key features include cross-platform compatibility and a robust C# scripting environment.
AI Summary: The task is to decide the optimal platform (desktop, mobile, or web app) for a path planning application designed for FIRST LEGO League (FLL) participants, prioritizing accessibility and ease of use for children. This involves comparing the pros and cons of each platform and making a decision on the initial development platform.
Adaptação do Path Planner da FRC para FLL; O foco desse projeto é basicamente recriar o aplicativo utilizado na FIRST Robotics Competition para a criação de trajetórias na FIRST Lego League. Desta forma, tornando possível que a programação na FLL, seja feita mesmo sem a visualização da mesa de forma presencial.
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This project adapts the FRC Path Planner application for use in the FIRST Lego League (FLL), enabling off-site trajectory planning for FLL robots. This allows teams to program their robots without needing physical access to the competition table, improving accessibility and efficiency.
AI Summary: Debug and fix a rendering issue in the Qt Advanced Docking System that occurs when dragging tabbed widgets out of their area on Ubuntu 22.04 with Qt 6.9.0. The issue involves broken and flickering main windows and appears similar to a previously reported bug (#713). The solution likely involves investigating window handling and rendering within the docking system's codebase, potentially related to interactions with the Wayland compositor.
Advanced Docking System for Qt
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The Qt-Advanced-Docking-System project provides an enhanced docking system for Qt applications, addressing the limitations of standard Qt docking solutions. Key features include advanced layout management, customizable docking behavior, and support for complex window arrangements.
L'application web et de bureau dédié à la création d'algorithme.
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Algoforge-main is a web and desktop application designed for creating algorithms. It simplifies the process of algorithm development, offering a user-friendly interface for designing and testing various algorithms.
AI Summary: The issue is that FastMCP's `addTool` function requires a `parameters` object, even if it's empty (`z.object({})`), for tools without parameters to be correctly registered and visible to clients like Claude Desktop. The task is to investigate why a tool definition without parameters is not being recognized and determine if this is a bug or intended behavior. If it's a bug, a fix would be needed; if intended, the documentation should be updated to reflect this requirement.
A TypeScript framework for building MCP servers.
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fastmcp is a TypeScript framework designed to simplify the development of Minecraft Classic (MCP) servers. It streamlines server creation by providing a structured and efficient foundation, reducing boilerplate and improving developer productivity.
AI Summary: Investigate and address the class imbalance issue in a math problem classification model, specifically the high variance in predictions for the 'Algebra' class. Solutions to explore include freezing weights and retraining the classification head, adjusting class weights, and implementing Focal Loss. The task involves analyzing existing code, implementing Focal Loss, and evaluating the impact of different approaches on model performance.
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SBT-kaggle-nlp is a project (details lacking from provided description) likely focused on Natural Language Processing (NLP) tasks within the Kaggle competition environment. It leverages the Scala Build Tool (SBT) for project management and likely incorporates various NLP libraries and techniques to solve specific Kaggle NLP challenges.
AI Summary: Fix accessibility issue in Kibana's Add repository page by adding missing titles to fields, ensuring proper announcement by screen readers like NVDA. This involves updating the UI code to include appropriate labels for all fields within the modal dialog.
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 data discovery tools, solving the problem of making complex data readily accessible and interpretable.
AI Summary: Refactor Bisq 2's *Store classes to restrict public access methods and getters to package scope only. This change will limit access to these methods from within their respective packages (e.g., allowing only the corresponding Service class to access the Store class). This needs to be applied consistently across all Store/Service class pairs.
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Bisq2 is a decentralized peer-to-peer bitcoin exchange that solves the problem of centralized exchange vulnerabilities and censorship. Key features include privacy-preserving trades, no KYC/AML requirements, and open-source code for transparency and community involvement.
AI Summary: Debug and fix a lexer issue in the DBL (Fram interpreter) that causes incorrect error reporting when multiline strings are present. The error manifests as the typechecker pointing to the wrong line for unbound variables when a multiline string precedes the actual error.
An experimental programming language that combines effect handlers and implicit parameters
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dbl is an experimental programming language designed to simplify the management of side effects and context-dependent behavior in programs. It achieves this through the novel combination of effect handlers and implicit parameters, offering a more concise and expressive way to write complex applications.
AI Summary: The task involves investigating why reassigning the A4 and A5 pins (used for I2C battery charge reading) on the Arduino Nano ESP32 on the Alvik robot to RX and TX for serial communication disables the battery charge reading functionality. The goal is to determine if the STM32 microcontroller can still read the battery status when powered on, even with the pin reassignment, or if an alternative solution is needed to enable both serial communication via the Grove connector and battery level monitoring.
Library to drive Alvik robot
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Arduino_Alvik is a library designed to simplify controlling the Alvik robot using an Arduino. It provides a streamlined interface for interacting with the robot's various components, eliminating the need for complex low-level programming. This allows for easier development of applications and control algorithms for the Alvik robot.
AI Summary: The task involves creating a first issue in a project called 'Monsite'. The issue description is simply 'Je crée mon premier Issue' (I'm creating my first issue). The project itself has minimal description provided.
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Monsite is a project with an undefined description and missing README, making it difficult to summarize its functionality. Without further information, its purpose and key features remain unknown.
AI Summary: Refactor the `handleDataStorageSelection()` method to replace hardcoded strings representing data storage options (e.g., "ArrayList", "HashMap", "File") with constants defined in a new `Constants` class within the `utils` package.
Template, do not interact.
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This project, MP485_OPT_People-MAS, is a template and therefore does not solve a specific problem or have defined features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to improve the clarity of step 59 in the freeCodeCamp Scientific Computing with Python curriculum's 'Learn Regular Expressions by Building a Password Generator' section. The current wording is confusing because it references a regular expression from a previous step (step 58) without explicitly stating this, leading users to believe the 'count = 0' variable is the relevant condition. The solution involves rewording step 59 to clearly indicate that the condition should be the regular expression created in step 58, not the count variable.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
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freeCodeCamp is an open-source project offering a free, comprehensive curriculum to learn web development. It addresses the problem of high cost and inaccessibility in coding education by providing a self-paced, project-based learning experience with community support.
AI Summary: The task is to fix a bug in the ExecuTorch C++ runtime where the `Module.execute` function doesn't check the number of input values, leading to potential memory corruption if too many inputs are provided. The solution involves adding a check to ensure the number of input values does not exceed the expected number of inputs, logging an error and returning an appropriate error code if the check fails.
On-device AI across mobile, embedded and edge for PyTorch
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Executorch enables on-device AI inference for PyTorch models on mobile, embedded, and edge devices. It addresses the challenge of deploying complex AI models to resource-constrained environments by providing optimized execution and reduced latency. Key features include efficient model execution and support for various hardware platforms.
AI Summary: The task is to modify the DevGuard web application's UI to ensure that the search bar and open/closed risk toggles remain visible even when the 'closed' filter is applied, resulting in zero risks displayed. The current behavior hides these UI elements when no risks are shown after filtering.
DevGuard Backend - Manage your CVEs seamlessly, Integrate your Vulnerability Scanners, Security Framework Documentation made easy, Compliance to security Frameworks - OWASP Incubating Project
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DevGuard streamlines vulnerability management by integrating with various scanners and simplifying security framework documentation. It addresses the challenge of efficiently tracking and managing CVEs, ultimately improving compliance with security standards like OWASP.
AI Summary: Implement win and lose conditions in the AI-generated puzzle game, Random Realms. This involves modifying the game's logic to incorporate consequences for player actions, potentially by adjusting prompts to better define win/lose states or by managing the conversation history to prevent unintended behavior.
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The project `random_realms` 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 features.
AI Summary: Add placeholder text to the NIF and Name input fields of a form. The NIF placeholder should guide users to enter a number followed by a calculated letter (example provided), and the Name placeholder should instruct users to enter their full name.
Template, do not interact.
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This project, MP485_OPT_People-MAS, is a template and therefore does not solve a specific problem or have defined features. Further information is needed to provide a meaningful summary.
AI Summary: The task is to add missing chapters on building, testing, and updating tests (based on pattern matching) to the KCL developer documentation, specifically addressing the missing content referenced in the `2.quick_start.md` file.
KCL Programming Language (CNCF Sandbox Project). https://kcl-lang.io
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kcl is a configuration language designed to solve the challenges of managing complex and dynamic configurations in cloud-native environments. Its key features include strong typing, data validation, and extensibility, enabling developers to write more robust and maintainable configuration code.
AI Summary: Implement internationalization (i18n) support for the Grade 1 Math Practice App to allow users to switch between multiple languages (starting with English and Japanese). This involves creating language files, implementing a translation management module, updating the UI to handle language changes, and refactoring the code for better maintainability and extensibility.
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The grade-1-math-practice project aims to provide first-grade students with engaging math practice exercises. It focuses on fundamental math concepts, offering a user-friendly interface for learning and reinforcing key skills.
AI Summary: The task involves fixing a bug in the Leaflet JavaScript library's Marker.Drag functionality where the 'alt' coordinate is lost after dragging a marker. This requires modifying the `Marker.Drag.js` file to preserve the 'alt' coordinate during the dragend event and adding a test to prevent future regressions.
🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
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Leaflet is a JavaScript library that solves the problem of creating mobile-friendly interactive maps. Its key features include ease of use, lightweight design, and support for various map tiles and custom markers.
AI Summary: Replace all instances of the `fetch` API with `axios` in the specified client-side components (e.g., `editor.tsx`). Verify if a previously reported caching issue persists after the change.
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The project 'blography' (assuming it's a blogging platform based on the name) aims to solve the problem of easily creating and managing online blogs. Key features are likely to include user account management, post creation and editing, and potentially features like commenting and theme customization, though specifics are unavailable without further information.
AI Summary: The task involves adding support for the Shemerly Mushaf layout to the Quranic Universal Library (QUL) project. This includes integrating the layout into the QUL system and potentially collaborating with the community to prepare the necessary layout data based on a provided PDF.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
🤳 VR/AR for react-three-fiber
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xr is a library simplifying the creation of VR and AR experiences using React Three Fiber. It streamlines development by providing readily available components and tools for building immersive applications, solving the challenge of complex 3D development in React.
AI Summary: Implement a new field, 'labels', in the Infomaniak Terraform provider to allow users to add custom labels to their instance pools. This involves updating the provider's code to handle the new API change from Infomaniak's KaaS, ensuring compatibility with existing functionality, and thoroughly testing the implementation using the provided acceptance tests.
Infomaniak Terraform Provider
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The terraform-provider-infomaniak project allows managing Infomaniak cloud resources via Terraform. It solves the problem of automating infrastructure provisioning and management for Infomaniak services, offering declarative configuration and version control.
AI Summary: The task is to fix a bug in the Coder application where deprecated templates are still being recommended to users in the "New Workspace" dropdown and empty workspace state. This involves identifying the code responsible for template recommendation, modifying it to exclude deprecated templates, and thoroughly testing the fix to ensure no other issues are introduced.
Provision remote development environments via Terraform
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Coder simplifies remote development by provisioning and managing consistent, reproducible development environments using Terraform. This eliminates the complexities of manual setup and ensures developers have identical environments, improving collaboration and reducing configuration issues.
AI Summary: Write unit tests for the `fetch_data.py` file in the `dashboard_app` component of the DeRisk Starknet project. Tests should cover positive and negative scenarios, including edge cases, for fetching price data. The task also includes creating an ETA and Telegram handler within the application.
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The derisk-research project aims to mitigate risks associated with research projects. While specifics are unavailable due to missing project description and README, it likely focuses on features to improve planning, execution, and risk management throughout the research lifecycle.
AI Summary: Improve JabRef's BibTeX import functionality to properly format imported BibTeX entries. The task involves parsing the imported BibTeX source, reformatting it using JabRef's internal formatting tools, and displaying the reformatted BibTeX if successful, otherwise showing the original string. This requires modifying the existing import process to handle BibTeX formatting and leveraging existing JabRef classes for serialization and writing BibTeX entries.
Graphical Java application for managing BibTeX and biblatex (.bib) databases
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JabRef is a graphical Java application designed to simplify the management of bibliographic databases in BibTeX and biblatex (.bib) formats. It offers features such as entry editing, searching, importing, exporting, and citation management, solving the problem of manual bibliographic data handling.
AI Summary: Implement visual error indicators (e.g., pop-up, icon) in the example React Native applications for the React Native ExecuTorch library to improve user experience and error handling, addressing issues raised in a GitHub pull request discussion.
Declarative way to run AI models in React Native on device, powered by ExecuTorch.
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react-native-executorch provides a declarative approach to executing AI models directly on mobile devices within React Native applications. Leveraging ExecuTorch, it simplifies the integration of on-device AI, eliminating the need for complex cloud-based solutions and improving performance and privacy.
AI Summary: The task is to find and implement a replacement for the scroll picker UI component used in the React Native ExecuTorch example applications (specifically the computer vision and LLM examples). The current scroll picker provides a poor user experience, and the goal is to improve it by finding and integrating a more user-friendly alternative.
Declarative way to run AI models in React Native on device, powered by ExecuTorch.
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react-native-executorch provides a declarative approach to executing AI models directly on mobile devices within React Native applications. Leveraging ExecuTorch, it simplifies the integration of on-device AI, eliminating the need for complex cloud-based solutions and improving performance and privacy.
AI Summary: Implement an advanced search system for the Quranic Universal Library (QUL) using Elasticsearch and semantic search techniques. The system should support full-text search across various Quranic data types (Arabic text, translations, tafsirs), morphological search based on grammatical categories, and semantic search to find relevant results even without exact keyword matches. The search should also accommodate different Arabic scripts. This will improve QUL's usability and allow for the creation of more intelligent applications.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
A project for deploying Harvester on cloud providers instead of bare-metal infrastructure
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Harvester-cloud simplifies deploying and managing the Harvester Kubernetes distribution on various cloud providers. This eliminates the need for bare-metal infrastructure, offering increased flexibility and scalability for users. Key features include streamlined cloud provider integration and automated deployment processes.
AI Summary: The task is to debug and fix a bug in the `cariddi` tool. The tool crawls websites and searches for various items, but it incorrectly reports the existence of default URLs (/ , /sitemap.xml, /robots.txt) even when the target server is down. The fix requires investigating the code's URL handling and request logic to ensure it correctly handles non-responsive servers.
Take a list of domains, crawl urls and scan for endpoints, secrets, api keys, file extensions, tokens and more
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Cariddi is a tool designed to identify security vulnerabilities in websites by crawling domains and scanning for exposed secrets, API keys, and sensitive file extensions. It helps improve website security by proactively uncovering potential risks.
AI Summary: The task involves creating a bash script to automate the creation of directories (/publico, /adm, /ven, /sec), user groups (GRP_ADM, GRP_VEN, GRP_SEC), and users (adm1-3, ven1-3, sec1-2) with specific permissions. The script uses `mkdir`, `groupadd`, `useradd`, `chown`, and `chmod` commands. The script also sets a common password (Senha123) for all users, which is a security risk and should be improved.
Repositório para os arquivos de script para o primeiro projeto do curso de Linux da DIO
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linux_projeto1_iac is a repository containing Infrastructure as Code (IaC) scripts developed for a DIO Linux course's first project. It automates the provisioning and management of Linux infrastructure, solving the problem of manual configuration and improving consistency and repeatability.
AI Summary: The user is encountering a `ModuleNotFoundError` when trying to run the Kimi-Audio inference code. The error indicates that the required module `kimia_infer.models.tokenizer.glm4.speech_tokenizer` is missing. The task is to identify why this module is missing and provide a solution, likely involving installing the necessary dependencies or correcting a path issue.
Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation
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Kimi-Audio is an open-source foundation model addressing the need for robust audio processing capabilities. It excels in understanding, generating, and engaging in conversations using audio, offering a versatile toolkit for various audio-related applications.
AI Summary: The task is to address the issue described in '.github/ISSUE_TEMPLATE' within the context of the 'Saloon' project, a basic website project in its initial release stage. The project currently consists of a simple HTML structure, CSS styling, and a README outlining future development. The issue's description is unknown, requiring further investigation of the '.github/ISSUE_TEMPLATE' file to understand the specific problem or request.
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The project 'Saloon' lacks a description and README, making it impossible to summarize its purpose, problem it solves, or key features. Further information is needed to provide a meaningful summary.
AI Summary: Debug and fix a freeze in the rtknavi_qt application (part of an RTKLIB optimized for u-blox GNSS receivers) that occurs when adding a marker using the 'Mark...' function. The issue is reported on Ubuntu 24.04.2 LTS using gcc 13.3.0, cmake 3.28.3, and Qt 5.15.13. This likely involves examining the application's code, potentially using debugging tools, to identify the source of the freeze related to marker addition.
A version of RTKLIB optimized for low cost GNSS receivers, especially u-blox receivers. It is based on RTKLIB 2.4.3 and is kept reasonably closely synced to that branch. This software is provided “AS IS” without any warranties of any kind so please be careful, especially if using it in any kind of real-time application.
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RTKLIB is a GNSS processing software optimized for low-cost u-blox receivers, addressing the need for affordable and accurate positioning solutions. It's based on RTKLIB 2.4.3, offering a balance between performance and compatibility, but is provided 'as is' without warranties.
AI Summary: Implement a Dead Letter Queue (DLQ) for the Go-based asynchronous task manager, TaskQueue. This involves modifying the worker to publish tasks without registered handlers to a designated dead-letter queue instead of silently ignoring them. The DLQ should be accessible for later review and potential retry or manual intervention.
A Golang async task manager inspired by Celery.
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taskqueue is a Golang library providing an asynchronous task manager, similar to Celery. It solves the problem of managing and processing background tasks efficiently, offering features like task queuing, worker management, and result tracking.
AI Summary: The user needs a solution to create a writable file system layer on top of a read-only DwarFS image in a Windows environment. The current documentation only mentions overlayfs for Linux. A potential solution involves exploring alternative approaches to create a writable layer, such as using a temporary directory or in-memory file system, or extending DwarFS to support such functionality in Windows.
A fast high compression read-only file system for Linux, Windows and macOS
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dwarfs is a high-performance, read-only file system designed for Linux, Windows, and macOS that addresses the need for fast data access with minimal storage space. It achieves this through a highly efficient compression algorithm, making it ideal for applications requiring quick retrieval of compressed data.
AI Summary: Implement a link button feature in the Writeopia mobile app, mirroring existing desktop functionality. This involves adding a button UI element and connecting it to the appropriate ViewModel method to transform selected text into a link to a new note. Reference issue #422 for existing desktop implementation details.
Super fast and free text editor for all platforms
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Writeopia is a free, cross-platform text editor designed for speed and efficiency. It offers a streamlined interface and focuses on providing a fast and distraction-free writing experience for users on any operating system.
AI Summary: Implement a 'Cut' button for the mobile version of the Writeopia text editor. This button should copy the selected text to the clipboard and then delete it from the editor, mirroring existing desktop functionality (keyboard shortcut). Reference issue #422 for existing discussion.
Super fast and free text editor for all platforms
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Writeopia is a free, cross-platform text editor designed for speed and efficiency. It offers a streamlined interface and focuses on providing a fast and distraction-free writing experience for users on any operating system.
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Insufficient information is provided to summarize project upgift1. The description and README are undefined, preventing a meaningful summary of its problem or features.
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This project, WebDev_Assignment1, 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: Recreate the Spotify web player homepage based on provided screenshots, implementing a dark mode that adapts to the user's operating system preference (prefers-color-scheme) and allows for manual toggling.
Återskapa en hemsida (Lama och Elin)
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This project recreates a website for Lama and Elin. The goal is to rebuild their existing website, likely improving its functionality, design, or both. Specific features are not detailed in the provided information.
AI Summary: Develop a vocabulary learning page for the AURORA.LA language learning platform. This involves creating a user interface based on provided Figma designs, implementing interactive word card components with expandable definitions and example sentences, ensuring responsive design across different screen sizes, and integrating navigation to a practice section. The page should meet accessibility standards and include unit tests.
AURORA.LA is an innovative on-chain AI-powered language learning platform that provides personalized, interactive language learning experiences. The frontend repository contains the user interface components and client-side logic that powers the AURORA learning environment.
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AURORA-Frontend builds the user interface for AURORA.LA, an AI-powered language learning platform. It provides an interactive and personalized learning experience through client-side logic and UI components, solving the problem of inefficient and impersonal language learning methods.
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This project, GithubRecreationAssignment, recreates core Github functionalities. While lacking a detailed description, it likely addresses the need for a simplified or educational version of Github's features. Key features are unknown without further project information.
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The project 'Saloon' 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: Configure Dependabot to ignore specific dependencies (GitHub Actions and template-pinned dependencies) within the DiamondLightSource/python-copier-template project to reduce unnecessary notifications. Explore alternative solutions like Renovate if Dependabot's limitations prevent full automation of template updates.
Diamond's opinionated copier template for pure Python projects managed by pip
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python-copier-template streamlines the creation of new Python projects by providing a pre-configured template with best practices. It leverages pip for dependency management and offers an opinionated structure for improved project organization and maintainability.
AI Summary: Debug and fix an infinite loading issue occurring on the MacOS desktop app when accessing self-expense chat. The issue manifests as an 'Uh-oh, something went wrong!' message. Requires familiarity with React Native, debugging tools, and the Expensify application's architecture (Onyx, Actions, etc.). The provided logs and Slack conversation may offer additional 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: Implement support for PyTorch-based object detection models in the SAHI library. This involves creating a new model class that handles loading, preprocessing, inference, and postprocessing of PyTorch models, supporting both CPU and GPU inference, and optionally handling letterboxing. The implementation should be compatible with existing SAHI functionality and allow users to easily integrate their custom PyTorch models.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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Sahi is a framework-agnostic solution for sliced/tiled inference, addressing the challenges of processing large images or videos that exceed GPU memory limits. It features an interactive UI and error analysis plots for improved model debugging and performance monitoring.
AI Summary: The task is to debug an Arduino project using the TM1640Anode library to drive a 16-digit common anode LED display. The issue is that only the first 8 digits are displaying correctly, while the remaining 8 digits show incorrect output. The solution requires investigating the library's handling of 16-digit displays in common anode mode and potentially identifying a bug or configuration issue.
Arduino TM16xx library for LED & KEY and LED Matrix modules based on TM1638, TM1637, TM1640 and similar chips. Simply use print() on 7-segment and use Adafruit GFX on matrix.
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The TM16xx Arduino library simplifies interaction with TM1638, TM1637, TM1640, and similar LED and key modules. It provides easy-to-use functions for displaying data on 7-segment displays and using Adafruit GFX for LED matrices, streamlining development for various applications.
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 Authlib library's client registration process currently rejects registrations if the order of `response_type` items in the request doesn't exactly match the supported types. The task is to modify the client registration code to ignore the order of these items, making it compliant with RFC6749 which states that order should not matter.
The ultimate Python library in building OAuth, OpenID Connect clients and servers. JWS,JWE,JWK,JWA,JWT included.
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Authlib is a comprehensive Python library for building OAuth and OpenID Connect clients and servers. It simplifies the development of secure authentication systems by providing tools for handling JWTs, JWS, JWE, JWK, and JWA, addressing the complexities of these standards.
AI Summary: The `VariableElimination` algorithm in the pgmpy library needs to be updated to correctly handle `LinearGaussianBayesianNetwork` objects. The current implementation lacks the necessary attribute ('factors') to work with this network type, resulting in an `AttributeError`. The task involves adding the required functionality to the `VariableElimination` class to support `LinearGaussianBayesianNetwork`'s factor representation.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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pgmpy is a Python library addressing the need for efficient Bayesian Network analysis. It provides tools for learning network structure and parameters, performing probabilistic and causal inference, and running simulations, simplifying complex probabilistic reasoning tasks.
AI Summary: Enhance the existing Quran learning activities in the QUL project by improving mobile responsiveness, adding retry/answer options, activity completion tracking, post-activity ayah info display, and implementing new activity types. This involves front-end and back-end development, potentially including database schema changes.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: Debug and fix recurrent failures in the Node.js undici library's Cache Interceptor on Windows, specifically targeting Node.js v23. The issue appears to stem from locked resources, and requires investigation of provided logs and reproduction steps to identify the root cause and implement a solution.
An HTTP/1.1 client, written from scratch for Node.js
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Undici is a Node.js HTTP/1.1 client built from the ground up, offering improved performance and reliability compared to existing solutions. It provides a robust and efficient way to make HTTP requests, focusing on speed and low-level control.
AI Summary: Deploy a fall detection and notification system to an AWS Lightsail instance using the provided `deploy.sh` and `start.sh` scripts. The system is designed to detect falls in vulnerable individuals (elderly, children, etc.) and send notifications. The server should be accessible on port 8501.
배려대상자(노인, 아이 등) 낙상 감지 및 알림 시스템
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guardFall is a fall detection and notification system designed to protect vulnerable individuals, such as the elderly and children. It detects falls and immediately alerts caregivers or emergency contacts, preventing potential injuries and providing timely assistance.
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The project, test-task, 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: Analyze user feedback on the IoM (Malice Network) C2 framework to identify areas for improvement, bug fixes, and new feature requests. This involves reviewing user comments on a GitHub issue, categorizing feedback, and summarizing findings.
Next Generation C2 Framework
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malice-network is a next-generation command and control (C2) framework designed to improve the efficiency and security of malicious operations. It offers advanced features for managing and controlling botnets, enhancing stealth and reducing detection risks.
AI Summary: The task is to update the Practicalli Neovim book to include information about setting up an SSH agent as a daemon using the `termux-services` package. This involves researching the best practices for this setup within the context of the book's focus on Neovim, Clojure development, and related tools, and then writing clear and concise documentation for inclusion in the book.
Guides to using Neovim, Conjure, LSP and Portal for Clojure REPL driven development. Aldo covers general dev tools including Neogit
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This project provides guides for using Neovim, Conjure, LSP, and Portal to streamline Clojure development through a REPL-driven workflow. It enhances developer productivity by integrating powerful tools like Neogit for Git management within the Neovim editor.
AI Summary: Debug and fix an issue in the Pangolin Middleware Manager where the order of applied security middlewares is incorrect. The solution should ensure middlewares are applied in the specified order and provide visual feedback in the UI to indicate the applied order.
A microservice that allows you to add custom middleware to Pangolin resources.
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middleware-manager is a microservice designed to enhance Pangolin resources by enabling the addition of custom middleware. This solves the problem of inflexible resource handling, allowing developers to easily extend functionality and adapt to specific needs.
AI Summary: The task is to troubleshoot and resolve connection timeout issues when connecting to the Moneygrator API (api.paypro.pw). This involves investigating the network connectivity, potentially checking server status, and possibly adjusting client-side settings (timeouts, proxies etc.) to successfully connect and retrieve data from the `/merchant/api-info` endpoint.
Moneygrator API
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paypro.pw, utilizing the Moneygrator API, facilitates seamless cross-border payments. It solves the problem of complex and costly international money transfers by offering a streamlined and efficient solution. Key features likely include secure transactions and multiple currency support.
AI Summary: Implement a new built-in function (BIF) in the Zeek scripting language called `find_first` that efficiently locates and returns the first occurrence of a given pattern within a string or other data structure. This contrasts with existing functions like `find_last` and `find_all`, which handle all occurrences or the last occurrence, respectively. The implementation should be efficient and integrate seamlessly with the existing Zeek framework.
Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.
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Zeek is a network analysis framework that goes beyond traditional intrusion detection systems (IDS). It provides deep packet inspection and powerful scripting capabilities for analyzing network traffic, enabling advanced threat detection and security monitoring.
AI Summary: Develop a web page for the Quranic Universal Library (QUL) that allows users to listen to a random ayah from a random recitation, then vote on the accuracy of its timestamp. The system should save user votes and allow easy navigation to subsequent random ayahs. This crowdsources timestamp verification to improve the QUL audio experience.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: The task is to determine how to correctly utilize Node.js Worker Threads within an Electron application built using Vite, Vue, and the provided boilerplate. The goal is to offload computationally intensive, time-consuming tasks to prevent UI blocking, leveraging the Node.js environment rather than web workers.
🥳 Really simple Electron + Vite + Vue boilerplate.
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electron-vite-vue is a streamlined boilerplate for building Electron applications using Vite and Vue. It simplifies the setup process, eliminating the complexities of integrating these technologies, allowing developers to focus on building their application's features.
AI Summary: Develop a 'Reader Tool' for the Quranic Universal Library (QUL) that allows users to view a specified list of Ayahs in a custom order, along with a selected resource (e.g., translation). The tool will accept a query string (e.g., `/reader?ayahs=2:3,8:3&resource=161`) to define the Ayahs and resource to display.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: The task is to publish the `rerun-notebook` package to conda-forge, in addition to its existing presence on PyPI. This involves creating a conda recipe, testing it thoroughly, and submitting it for review and inclusion in the conda-forge channel.
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
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Rerun is a free and open-source tool that solves the problem of visualizing complex, multimodal data streams. Its key features include speed, ease of use, simple integration, and a Rust-based architecture for performance and reliability.
AI Summary: Implement rate limiting and quota checks for two AI-powered flashcard generation endpoints in a FastAPI backend. This involves restricting the number of requests per user within a time window, handling exceeding limits with appropriate error messages, and potentially adding tiered quotas based on user plans. Frontend integration to display notifications to users exceeding limits is also required.
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FlashNotes is a project whose description and functionality are currently undefined. Therefore, it solves no specific problem and has no key features at this time.
AI Summary: The task involves adding Qalun data (likely related to Quranic recitation and possibly including audio and textual information) to the Quranic Universal Library (QUL) project. This will require integrating the data from the provided URLs (surahquran.com and quranpedia.net) into the existing QUL system, which uses Ruby on Rails and a PostgreSQL database. The process may involve data cleaning, transformation, and potentially modifying the QUL application's data models and import mechanisms.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: Integrate the Alsosi qirat data from the provided URLs (https://surahquran.com/alsosi/1.html and https://quranpedia.net/mushaf/10) into the existing Quranic Universal Library (QUL) application. This involves adding the data to the appropriate database tables, ensuring compatibility with the existing system's data structures and functionalities, and potentially updating the application's user interface to display and manage the new data.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: Implement form validation to prevent users from proceeding to the next step in a multi-step loan offer creation form if the current step's fields are invalid. This involves adding validation checks within the `handleNextStep` function, defining validation rules for each step, and potentially improving the user experience by scrolling to the first error field if validation fails. The project uses React Hook Form for form management.
TrustBridge is a decentralized platform for secure and transparent P2P microloans. It facilitates direct lending between users, eliminating intermediaries and enhancing financial inclusion.
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dApp-TrustBridge is a decentralized platform solving the problem of access to microloans by enabling secure and transparent peer-to-peer lending. It eliminates intermediaries, reducing costs and increasing financial inclusion through direct lending between users.
AI Summary: Disable the "Open Playlist" button in the TUM-Live streaming service's user interface during live streams, as playlists are not supported for live content. This involves modifying the frontend code to conditionally render the button based on whether a stream is live and/or a playlist exists.
TUMs lecture streaming service.
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gocast is a lecture streaming service developed at TUM, addressing the need for convenient and accessible lecture recordings. It provides a platform for streaming and potentially archiving lectures, improving accessibility for students and faculty.
AI Summary: The task involves adding Warsh script data to the Quranic Universal Library (QUL) project. This requires sourcing the data from various online resources and integrating it into the existing QUL system, which uses Ruby on Rails and Active Admin. The integration will likely involve data cleaning, formatting, and potentially database schema adjustments.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: The task involves adding data from the Qumbul resource (https://surahquran.com/qumbul/1.html) to the Quranic Universal Library (QUL) project. This likely requires understanding QUL's data model and potentially writing scripts or using the admin interface to import the data. The data's format will need to be assessed and potentially transformed to match QUL's requirements.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: Upload documentation for the "OcioStoreIngSoftII" software engineering project's first progress report. This includes details on the project lifecycle, planning, risk assessment, architecture selection, tools used, bibliography, use case diagrams, selected conversations, sequence diagrams, critical operation contracts, and the development of one basic functionality.
Trabajo de Campo para Ingeniería de software II - LSI FaCENA 2025
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OcioStoreIngSoftII is a software engineering project developed as coursework for LSI FaCENA 2025. It likely addresses a problem related to leisure activity management or online store functionality, though specifics are unavailable from the provided information.
AI Summary: The task is to refactor the Checkmate application's UI to remove the delete button from the status pages. The button should be moved to the configuration page, maintaining the same functionality. This aligns with a similar change already implemented on the monitor details page.
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations.
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Checkmate is an open-source, self-hosted monitoring tool that addresses the need for real-time tracking of server hardware health, uptime, and response times. Its key features include incident tracking and visually appealing dashboards for easy monitoring and analysis.
AI Summary: The task involves reviewing and potentially modifying a parameter file for the CAROLINE InSAR processing system to process a specific region in Groningen using four Sentinel-1 tracks. This includes verifying DEM settings and ensuring correct specification of multiple tracks within the parameter file. The goal is to generate InSAR products for comparison with IGRS GNSS time series data.
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The project 'caroline' 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 alternative text (alt text) to all images in the R package's README.md and vignettes to improve accessibility for users with visual impairments. The alt text should concisely describe the image's content.
An R implementation of TabNet
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TabNet is an R package providing an implementation of the TabNet neural network architecture. It addresses the need for a robust and readily available tool in R for tabular data classification and regression tasks, offering a powerful alternative to traditional methods.
AI Summary: The task is to assess the feasibility and complexity of adding access control features for the MCP (likely a model configuration panel) and knowledge base modules within the JeecgBoot low-code platform, version 3.8.0. This involves analyzing the existing architecture, identifying potential integration points, and estimating the effort required for implementation.
🔥「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x,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! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE,帮助Java项目解决80%重复工作,让开发更关注业务,提高开发效率、节省成本,同时又不失灵活性
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JeecgBoot is an AI-powered low-code platform that solves the problem of repetitive coding in Java projects. Its key features include a powerful code generator for both front-end and back-end, enabling one-click code generation and significantly improving development efficiency by automating 80% of repetitive tasks.
AI Summary: The task is to improve the LitData getting started example by modifying it to handle PIL.Image objects correctly within the DataLoader, preventing the `default_collate` error. This involves either modifying the example to pre-convert PIL images to tensors/numpy arrays before optimization or updating the DataLoader to handle PIL images directly. Additionally, documentation should be updated to clarify best practices for handling image data types within LitData.
Transform datasets at scale. Optimize datasets for fast AI model training.
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litData tackles the challenge of preparing massive datasets for efficient AI model training. It offers scalable data transformation capabilities, optimizing datasets for speed and performance to accelerate the model development process.
AI Summary: Design a Figma page for a code snippet hub, ensuring consistency with the existing website's design. This involves creating a visually appealing and user-friendly interface for displaying and interacting with code snippets within the Snipu Web3 application. The design should be submitted as a Figma file and adhere to the provided Figma design system.
A Web3-powered decentralized code snippet hub on Starknet, enabling secure storage, sharing, and real-time collaboration with Web3 authentication and voice chat.
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Snipu is a decentralized code snippet hub built on Starknet, solving the problem of insecure code sharing. It offers secure storage, collaborative editing, and real-time voice chat, all secured with Web3 authentication.
AI Summary: Debug a configuration issue in the StrataPilot project's MCP service on macOS where the NAVER search engine fails to initialize due to a 'Remote protocol version 2.0 protocol mismatch' error. This involves analyzing the provided `mcp_config.yaml`, investigating potential version conflicts between the NAVER search engine library (lib-NAVER-search), Python environment, and macOS, and potentially adjusting the configuration or dependencies to resolve the protocol mismatch.
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Without further information about the project 'stratapilot', a concise summary cannot be provided. The lack of description and README prevents understanding its purpose, problem it solves, or key features.
AI Summary: Debug and fix issues with a React drawer component. The component exhibits flickering when closing and intermittent failure to open. This likely involves inspecting the component's code for rendering and event handling problems.
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YARCL 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 a responsive and accessible admin payment stream page UI using Next.js, adhering to atomic commit standards, and demonstrating functionality across various screen sizes with a Loom video. The design is provided in Figma, and the project is already bootstrapped with create-next-app.
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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 remove the text related to 'podcasts' from the Pod Manager web application. The provided image in the issue likely indicates the specific location(s) of the text to be removed. This involves locating the relevant code within the application's frontend (likely HTML, CSS, or JavaScript) and deleting or commenting out the lines responsible for displaying the podcast text.
Podmanager
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Podmanager, a project for The-authority-show-, addresses the need for efficient podcast management. Key features likely include organization, scheduling, and potentially automation of podcast production and distribution tasks.
AI Summary: Implement a theming system for the Seraph SSH manager, allowing users to change the UI color scheme. This should ideally include a settings option to select between different themes, rather than just a simple light/dark mode.
Open source ssh manager
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Seraph is an open-source SSH manager designed to simplify the management of multiple SSH connections. Key features likely include streamlined connection management, potentially including features like session saving and organization, addressing the common problem of juggling numerous SSH sessions.
AI Summary: Develop a comprehensive Quranic data API for the Quranic Universal Library (QUL) project. This involves creating RESTful endpoints to access core Quranic data, including chapters, verses, words, audio segments, translations, tafsirs, and grammatical information. The task is broken down into smaller, more manageable issues, each focusing on a specific data type.
A comprehensive collection of Quran resources
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The quranic-universal-library project aims to provide a comprehensive, easily accessible collection of Quranic resources. It addresses the need for a centralized, unified repository of various Quranic texts, translations, and interpretations, making it easier for users to study and engage with the Quran.
AI Summary: Improve the LarkSuite secret detector in TruffleHog to reduce false positives. The current detector incorrectly identifies strings bordered by hyphens as access tokens. The task involves analyzing the detector's regular expression, refining it to accurately match only valid LarkSuite access tokens, and potentially updating the verification process to handle the improved accuracy.
Find, verify, and analyze leaked credentials
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TruffleHog is a tool designed to detect and analyze leaked credentials within code repositories and other files. It identifies secrets like API keys, passwords, and tokens, helping developers improve security and prevent data breaches by highlighting potential vulnerabilities.
AI Summary: The task involves researching and implementing mechanical stability regularization methods within the existing FDTDX (Finite-Difference Time-Domain) Python package for 3D photonic nanostructure inverse design. This will ensure generated designs are physically realizable and mechanically stable, particularly relevant for fabrication techniques like two-photon polymerization (2PP). The goal is to improve the practicality of designs produced by the software.
Electromagnetic FDTD Simulations in JAX
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fdtdx is a project that leverages JAX to perform fast and efficient Finite-Difference Time-Domain (FDTD) simulations of electromagnetic phenomena. It solves the problem of computationally expensive FDTD simulations by utilizing JAX's automatic differentiation and just-in-time compilation capabilities for accelerated performance.
AI Summary: Add missing type hints to specified functions within the `webhook-to-fedora-messaging` Python project. This involves reviewing the codebase, identifying functions lacking type hints, and adding the appropriate annotations to improve code readability and maintainability.
Webhook To Fedora Messaging Project
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The webhook-to-fedora-messaging project facilitates the seamless transfer of data from webhooks to Fedora messaging systems. It solves the problem of integrating disparate systems by providing a reliable and efficient bridge, enabling automated data exchange and workflow improvements.
AI Summary: Implement MAVLink communication support for a simple rocket platform. This involves defining communication specifications in JSON, linking XML message frames to JSON events/methods (sourced from a simba_mavlink repository), building MAVLink libraries during compilation, implementing ACK mechanisms, managing UART buffers for radio communication, configuring event frequencies and "on_update" settings in JSON, creating a communication controller, and developing unit tests.
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The srp_platform 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 an export functionality to the VSCode Markdown-to-Wechat extension, allowing users to save the generated HTML to a file instead of only copying it to the clipboard. This addresses user feedback where copying the HTML doesn't work reliably outside of the WeChat editor.
将 Markdown 转换为微信公众号兼容的 HTML ,在 VSCode 上预览复制
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vscode-markdown-to-wechat is a VS Code extension that simplifies the process of publishing Markdown content to WeChat Official Accounts. It converts Markdown files to WeChat-compatible HTML, allowing for easy preview and copy-pasting directly within the VS Code editor, eliminating the need for external conversion tools.
AI Summary: Implement full CRUD operations for a City model within an existing Node.js, TypeScript, and Prisma-based ticket booking API. This includes creating a new repository, handling data validation, ensuring referential integrity with countries, and implementing appropriate error handling and HTTP status codes. Pagination, sorting, and potentially soft delete functionality are also required. Testing and documentation are part of the scope but not yet completed.
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The `flight_ticket_booking_server` project is a server-side application designed to streamline the process of booking flight tickets. It likely handles tasks such as searching for flights, processing bookings, and managing user accounts, offering a centralized platform for flight ticket management.
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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: Refactor the Rollup Node database migration to download block hints from a remote source instead of embedding them in the binary. This requires creating a generic solution compatible with both Mainnet and Sepolia, potentially leveraging the existing trait-based approach in #81. The goal is to reduce the size of the node binary.
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The project `rollup-node` is missing 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 involves researching and implementing a method to upload and display 3D models within a React application built with Vite. This includes selecting a suitable 3D model library and integrating it into the existing project.
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The 3d-Gallery project is a placeholder, lacking a description or README. Therefore, its purpose and features are currently undefined and cannot be summarized.
AI Summary: Update the CircuitVerse website's contribution page to remove outdated PayPal and Patreon links and replace them with a link to the Open Collective contribution page.
CircuitVerse Primary Code Base
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CircuitVerse is a web-based platform for designing, simulating, and sharing electronic circuits. It solves the problem of needing expensive and complex physical equipment for circuit design by providing a free, accessible, and interactive online simulator. Key features include a user-friendly interface, support for various components, and the ability to collaborate with others.
AI Summary: The task involves creating a group project that builds a vulnerability scanner using Metasploit and pymetasploit3 within a Docker environment. This includes setting up the environment, connecting to the Metasploit RPC service, loading and executing Metasploit modules against a target (DVWA), and documenting the entire process with code, a README, Wiki, and demonstration videos. The current challenge lies in resolving issues with the pymetasploit3 library's module loading mechanism.
Group Project
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The project, S25_CSS_05_DC_CR, lacks a defined description or README, preventing a detailed summary. It appears to be a group project, likely involving CSS and potentially web development, but further information is needed to understand its purpose and features.
AI Summary: Remove the auto-launch functionality from the COMS Console application. This involves removing the autostart package and any related code from both the frontend and backend, as the QuacKL layer will now handle auto-startup. The goal is to prevent the application from automatically launching on startup for the game developer release.
A gaming console in the shape of a duck
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COMS-Console is a gaming console uniquely designed in the shape of a duck. It offers a novel form factor while providing standard gaming console functionality, addressing the need for a more visually interesting and playful gaming experience.