AI Summary: This issue proposes adding a new parameter to the `get_condorcet_cycles` function in the `pwcg` library. The goal is to allow users to specify whether to detect only weak Condorcet cycles (where ties are permitted) or to also detect strict Condorcet cycles.
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AI Summary: This issue proposes updating a GitHub bot script to include recommendations for the Hiero JavaScript SDK's "Good First Issue" and "Beginner Issue" labels. The goal is to expand the bot's functionality to suggest relevant issues from the JS SDK repository alongside existing supported repositories.
A python SDK for Hiero: A python toolkit for creating, updating, and interacting with on-ledger assets and smart contracts on Hedera and other Hiero networks
AI Summary: The `InternalMCPManagerAdapter` class registers event listeners with `mcpManager` in its constructor but fails to remove them in the `cleanup()` method. This oversight leads to memory leaks when `InternalMCPManagerAdapter` instances are repeatedly created and destroyed, potentially impacting performance.
AI Summary: This issue requests the addition of a famous Japanese video game quote from Final Fantasy X to a JSON file. The task involves editing a data file, making it suitable for first-time open-source contributors with no coding experience required.
Aesthetic, minimalist platform for learning Japanese inspired by Duolingo and Monkeytype, built with Next.js and sponsored by Vercel. Beginner-friendly with plenty of good first issues - all contributions are welcome!
AI Summary: This issue is a "good first issue" that asks contributors to add a famous anime quote from Chainsaw Man to a JSON file. The task involves forking the repository, editing a specific JSON file to include the quote's Japanese, Romaji, and English translations along with its anime and character, and then submitting a pull request.
Aesthetic, minimalist platform for learning Japanese inspired by Duolingo and Monkeytype, built with Next.js and sponsored by Vercel. Beginner-friendly with plenty of good first issues - all contributions are welcome!
AI Summary: This issue is a "good first issue" that asks contributors to add a new Japanese grammar point, "〜てくれる" (someone does a favor for the speaker), to a JSON file. The task involves forking the repository, editing a specific JSON file by pasting the grammar string, and submitting a pull request. No coding experience is required, making it ideal for beginners.
Aesthetic, minimalist platform for learning Japanese inspired by Duolingo and Monkeytype, built with Next.js and sponsored by Vercel. Beginner-friendly with plenty of good first issues - all contributions are welcome!
AI Summary: This issue identifies significant code duplication (approximately 204 lines) between `ByteDanceV2Controller` and `ByteDanceV3Controller` in their `listen()` methods. The duplication violates the DRY (Don't Repeat Yourself) principle, increasing maintenance overhead and the risk of inconsistencies. The proposed solution is to refactor the shared logic into a base class `ByteDanceController` using the template method pattern.
AI Summary: This issue proposes adding a `reset()` method to `DetectionMetricsFactory` and `SegmentationMetricsFactory`. This method would allow users to clear accumulated data within these factories, enabling them to be reused for multiple evaluations within a single script without needing to instantiate new objects.
A toolkit designed to unify and streamline the evaluation of object detection and segmentation models across different sensor modalities, frameworks, and datasets.
AI Summary: This issue requires fixing incorrect ':return:' entries in the docstrings of several methods within the `SegmentationMetricsFactory` class. The goal is to ensure the documentation accurately reflects the return values of these methods.
A toolkit designed to unify and streamline the evaluation of object detection and segmentation models across different sensor modalities, frameworks, and datasets.
AI Summary: This issue proposes to optimize the `compute_iou_matrix` function by replacing its nested Python loops with vectorized NumPy operations. The goal is to significantly improve performance for large datasets by leveraging NumPy's broadcasting capabilities for efficient pairwise IoU calculations, while ensuring the output remains identical to the current implementation.
A toolkit designed to unify and streamline the evaluation of object detection and segmentation models across different sensor modalities, frameworks, and datasets.
AI Summary: This issue requests the addition of unit tests for the `DetectionMetricsFactory` class and related standalone functions within the `detection_metrics.py` file. Currently, other utility modules have good test coverage, but this specific detection metrics module is lacking. The task also involves renaming an existing test file to improve clarity.
A toolkit designed to unify and streamline the evaluation of object detection and segmentation models across different sensor modalities, frameworks, and datasets.
AI Summary: This issue requests improvements to the 'Extra Docker Commands' section of the project's README file. The goal is to fix markdown rendering issues, ensure commands are clear and copy-paste friendly, and improve the overall visual presentation for better readability.
Open-source RAG engine for ingesting, indexing, and querying unstructured documents
AI Summary: This issue proposes refactoring the "Quick Links" section in the README. The goal is to remove descriptive text, display badges side-by-side for a cleaner look, and integrate the section into the Table of Contents. This is a documentation and UI polish task.
Open-source RAG engine for ingesting, indexing, and querying unstructured documents