Help Wanted

AI Summary: This GitHub issue proposes improving test cleanup in `validate-tokens.spec.ts` by replacing `vi.clearAllMocks()` with `vi.restoreAllMocks()`. The current approach only clears mock call history, potentially leading to flaky tests in sharded environments due to stale mock implementations. The recommended fix ensures proper restoration of all spies and mock implementations, enhancing test stability.

AI Summary: This GitHub issue outlines the task of adding a new FAQ entry to the TDM Calculator's database. The entry, which has been drafted and approved by stakeholders, provides step-by-step instructions on how users can export their projects to a .CSV file. It also notes a dependency on another issue.

AI Summary: This GitHub issue requests the addition of a new color theme named "J-Pop Energy" to the KanaDojo application. It's classified as a good first issue, requiring contributors to add a predefined JSON object containing theme details (ID, background, main, and secondary colors) to the `community/content/community-themes.json` file.

AI Summary: This GitHub issue details the addition of new content to the FAQ database, specifically explaining how users can search and filter their projects on the "My Projects" page within the TDM Calculator. It provides a step-by-step guide and lists all currently searchable and filterable fields, with the content already stakeholder-approved and a dependency on issue #2836.

AI Summary: The `packages/mcp-core/examples/README.md` file is missing documentation for the `connect:call-tool` example script. This script demonstrates how to connect to an MCP service and call tools, including parameter handling and error management. The issue proposes adding a new section to the README to describe this existing and functional example.

AI Summary: This GitHub issue describes a critical corner case where an Approximate Nearest Neighbor (ANN) graph traversal gets stuck. If an entry point node contains a number of duplicate vectors (vectors with identical values) that is equal to or greater than the `max_degree` parameter, the search algorithm repeatedly selects these duplicates as nearest neighbors. This prevents further exploration of the graph, causing the recall to drop to zero.

AI Summary: This GitHub issue outlines the task of adding a new, pre-approved FAQ entry to the database. The content provided details how users can duplicate projects within the TDM Calculator, including step-by-step instructions and the approved question and answer text. It also lists specific action items for the assignee and notes a dependency on another issue.

AI Summary: The issue describes a bug where manually loading a model checkpoint for testing in `geo_deep_learning/train.py` leads to incorrect test results, while using `Trainer.test(ckpt_path=...)` works correctly. The proposed solution is to replace the manual loading with a PyTorch Lightning-compliant approach, passing the model and `ckpt_path` directly to `test_trainer.test()`.

AI Summary: The persistent `HashMap` uses `None` as an internal sentinel to indicate a key was not found. This design choice creates a conflict when the map's value type `V` can also legitimately be `None`, making it impossible to distinguish between a missing key and a stored `None` value. This issue affects internal methods like `_MapSubNodes.apply` and `_MapEntry.apply`, leading to surprising behavior in the public API.

AI Summary: This GitHub issue requests an optimization for `scipy.sparse.lil_matrix` where assigning a sparse matrix to a slice currently densifies the assigned matrix, leading to `MemoryError` for large inputs. The proposed enhancement is to modify the `lil_matrix.__setitem__` method to handle sparse inputs directly without densification, thereby improving memory efficiency and enabling the intended use of LIL matrices for constructing large sparse matrices.

AI Summary: This issue aims to integrate Codecov coverage for the C# SDK, aligning it with existing Rust and Java implementations. The task involves configuring `dotnet test` calls in GitHub Actions to collect coverage, adding a Codecov upload step, and setting up a post-merge baseline job. Additionally, the `codecov.yml` file needs to be updated to include C# coverage and remove it from ignored paths.

AI Summary: The Go SDK is missing Codecov coverage uploads, despite coverage reports being generated. This issue aims to add Codecov integration by configuring GitHub Actions to upload the Go coverage report in both test and post-merge workflows, and updating the `codecov.yml` to properly track the Go SDK.

AI Summary: This issue aims to integrate Codecov coverage for the Node SDK, mirroring existing setups for Rust and Java. It involves generating lcov output, adding a Codecov upload step to the CI workflow, establishing a post-merge baseline job, and updating the Codecov configuration file.

AI Summary: This issue aims to integrate Codecov coverage for the Python SDK, bringing it in line with existing Rust and Java coverage. The task involves adding `pytest-cov` to development dependencies, configuring pytest calls in the CI to generate XML coverage reports, and adding a Codecov upload step to the main test workflow. Additionally, a new post-merge baseline job will be created following the pattern of the Java coverage job, and `codecov.yml` will be updated to include Python coverage paths.

AI Summary: The `compile-report` node in the `tech_news_reporter` example agent is configured with `client_facing: false` in `agent.json`. However, its system prompt explicitly instructs it to provide a text summary and a file link directly to the user, which constitutes client-facing output. This issue highlights a contradiction and suggests the `client_facing` field should be set to `true` to accurately reflect the node's behavior.

AI Summary: A Scrapy spider fails with an exception when attempting to crawl an IPv6 URL (e.g., `https://[2402:4e00:40:40::2:3b6]`) while the `JOBDIR` setting is enabled. The issue suggests that the `safe_url_string` function, or a related component used for generating job directory paths, does not correctly handle the bracketed IPv6 literal addresses in URLs.

AI Summary: The user reports that their "Claude code" (likely an AI tool or integration) truncates GitHub issue content when attempting to retrieve the full raw markdown of a single issue. This prevents working with issues longer than approximately 21 lines, despite the user's expectation that truncation should only occur when fetching multiple issues simultaneously.

AI Summary: The issue proposes adding readers and writers for `conda-meta/history` files to `rattler`. This functionality is crucial for imperative package managers like `conda` to track user-requested specifications over time, as there's no declarative input. The implementation should allow parsing revisions, accessing accumulated specs, and writing new revisions and their associated specs.

AI Summary: This GitHub issue proposes clarifying the API contract for `present_key` and `past_key` parameters within an Attention mechanism. It suggests specifying whether these two keys must always be provided together or never provided, aiming for consistent usage and clearer expectations.

AI Summary: This GitHub issue is a follow-up task to enhance the X86 backend of LLVM by adding specific handling for `X86ISD::AND` operations within the `computeKnownBitsForTargetNode` function. The implementation should be similar to existing coverage for `X86ISD::FANDN` and `X86ISD::FOR`. The task also requires adding new unit tests in `X86SelectionDAGTest` to validate the changes.

AI Summary: The CLI's agent selection menu incorrectly states that arrow keys can be used for navigation. Users attempting to use arrow keys receive an "Invalid input" error, as only numeric input is currently accepted. The expected behavior is for arrow keys to function as described, or for the prompt message to be updated to reflect the actual input method.

AI Summary: GET routes for generic actions in the framework fail to interpret optional arguments as query parameters. The OpenAPI specification incorrectly suggests these arguments are part of the request body, which only works if the route is changed to POST. The expected behavior is for these optional arguments to be correctly parsed from query parameters.

AI Summary: This issue requests the creation of a new agent file, `dt-learning-tutor.agent.md`, which will serve as a Design Thinking learning tutor. This tutor will provide structured, syllabus-based education, including comprehension checks and adaptive pacing, complementing the project-driven `dt-coach` agent. It will also include a handoff mechanism to `dt-coach` for project application.

AI Summary: The Patroni PostgreSQL charm currently lacks a dedicated alert to detect a split-brain scenario, where multiple primary databases are active within the same cluster. While alerts exist for a cluster being down or having no leader, an explicit alert for multiple leaders is needed to promptly identify and address this critical state.

AI Summary: The "Export settings" button in VueTorrent is non-functional, failing to initiate a download of the configuration file. Users observe no console errors or relevant network activity when clicking the button, making diagnosis difficult. This issue occurs within a specific Dockerized environment utilizing the `linuxserver` image with the `vuetorrent-lsio-mod` behind an NGINX reverse proxy.

AI Summary: This GitHub issue requests the addition of a new entry to the FAQ database, providing instructions on how to rename a snapshot within the TDM Calculator. A draft question and a four-step answer are provided, along with action items to update the FAQ as an admin and ensure a corresponding slide is linked.

AI Summary: This issue describes the creation of a new attack profile for mass assignment vulnerabilities, targeting APIs that allow attackers to set privileged fields like `isAdmin` or `balance` by injecting them into request bodies. The profile will include over 20 payloads covering various field names, naming conventions (snake_case, camelCase), nested objects, and different body types (JSON, form-data, XML), with success indicators and remediation guidance.