Help Wanted

AI Summary: This issue proposes that when the Text tool is active and a text layer is selected, pressing the Enter key should initiate editing of that text layer. This aims to improve the user experience by providing a more intuitive shortcut for text editing.

AI Summary: This issue proposes adding a new `fenn.timeseries` module to Fenn to streamline common time-series preprocessing tasks. These tasks include timestamp handling, resampling, windowing for sequence models, and time-aware data splitting. Additionally, an LSTM forecasting template will be created to demonstrate the usage of these new utilities.

AI Summary: This issue is a "good first issue" requesting a new fun fact about Japan to be added to the `japan-facts.json` file. The contributor needs to append the provided fact to the existing JSON array, ensuring correct formatting and then submit a pull request.

AI Summary: This issue proposes replacing the PetStore integration test in the Quarkus Flow examples with a mock server. The current integration test relies on an external PetStore service, which introduces flakiness to the CI and user experience. Replacing it with a mock will improve test stability.

AI Summary: This issue is a "good first issue" requesting a new fun fact about Japan to be added to the `japan-facts.json` file. The task involves opening the specified file, appending the provided fact to the JSON array, and submitting a pull request with a specific title and issue closing.

AI Summary: The user is reporting an issue where the `DiffModified` parameter, listed in the custom color theme documentation, is being flagged as an invalid key in their `settings.json` file. This prevents Gemini CLI from loading their custom theme.

AI Summary: This issue proposes implementing an opt-in anonymous telemetry system for Inspect Evals to track usage patterns. The goal is to help maintainers prioritize efforts, understand eval lifecycles, and demonstrate impact by collecting minimal, privacy-conscious data like eval names and versions. The implementation should be non-blocking and transparent, with options like using a Google Form or Airtable as a backend.

AI Summary: The user is encountering a TypeError when attempting to establish a WebSocket connection using universal middleware. The error 'Cannot clone a response to a WebSocket handshake' occurs when the middleware attempts to enhance the request handler, suggesting an issue with how WebSocket handshake responses are being processed or cloned by the middleware.

AI Summary: This issue is a "good first issue" that asks contributors to add a new fun fact about Japan to a JSON file. The fact is about the Japanese word 'tarento' for TV personalities. The instructions are straightforward, involving editing a specific file, committing changes, and submitting a pull request.

AI Summary: This issue proposes improving error messages in the ffigen tool. When native functions fail to load, the tool should provide more specific guidance to the user, such as checking library linking or including generated source files.

AI Summary: The current implementation requires the 'Notes' field to be filled when creating a new secret, but this is not a necessary requirement. The issue proposes making the 'Notes' field optional to improve the user experience.

AI Summary: This issue proposes the implementation of LiveCodeBench Pro, a new benchmark for evaluating Large Language Models (LLMs) in competitive programming. The benchmark uses continuously updated problems from top-tier contests and is annotated by Olympiad medalists to assess LLM performance against human experts, highlighting current limitations in algorithmic reasoning and case analysis.

AI Summary: This issue is a "good first issue" that asks contributors to add a new fun fact about Japan to a JSON file. The task involves locating the `japan-facts.json` file, appending the provided fact to the array, ensuring correct JSON formatting with a preceding comma, and submitting a pull request with a specific title and issue closing link.

AI Summary: This issue is a "good first issue" requesting a new fun fact about Japan to be added to the `japan-facts.json` file. The task involves opening the specified file, appending the provided fact to the JSON array, and submitting a pull request with a specific title and closing link.

AI Summary: This issue requires updating outdated Bootstrap margin utility classes from `mr-*`/`ml-*` to their Bootstrap 5 equivalents, `me-*`/`ms-*`. This change is necessary after a Bootstrap 5 upgrade and aims to ensure consistent styling and potentially improve accessibility.

AI Summary: This issue proposes the creation of a standalone tool or package to analyze Inspect evaluation logs and estimate the cost of running those evaluations with different models. The goal is to allow users to prototype on cheaper models and understand the cost implications of using more expensive ones, with a consideration for varying token usage patterns between model families.

AI Summary: This issue is a "good first issue" that asks contributors to add a new fun fact about Japan to the `japan-facts.json` file. The task involves editing a JSON file, adding a new entry with a specific fact about 'tarento', and submitting a pull request with a predefined title and closing reference.

AI Summary: This issue describes a bug in the `coverage_probability_plot` function where plotting a 1D parameter with the `cat-gb` estimator results in an `AttributeError`. This occurs because the code attempts to reshape `None` values for `upper_proba` and `lower_proba`, which are not provided by the `cat-gb` method. The fix involves conditionally removing the `.reshape(-1)` call when these bounds are `None`.

AI Summary: This issue proposes optimizing DRep deregistration by introducing a reverse index that maps each DRep to its delegators. Currently, deregistration requires iterating through all stake addresses, which is inefficient. The proposed solution will allow deregistration to only process the delegators of a specific DRep, significantly improving performance.

AI Summary: This issue is a "good first issue" requesting the addition of a new fun fact about Japan to the `japan-facts.json` file. The task involves opening the specified file, adding the provided fact to the end of the array with proper formatting, and submitting a pull request with a specific title and issue closing link.

AI Summary: This issue is a "good first issue" requesting the addition of a new fun fact about Japan to a JSON file. The task involves opening a specific file, adding the provided fact to an array, and submitting a pull request with a specific title and closing reference.

AI Summary: This issue is a "good first issue" requesting the addition of a new fun fact about Japan to a JSON file. The task involves opening a specific file, adding the provided fact to an array, and submitting a pull request with a specific title and closing link.

AI Summary: This issue involves modifying the `AllocToInPlace.cpp` file in the OpenFHE library to correctly handle commutative operations during in-place transformations. The goal is to ensure that the in-place transformation logic accounts for the commutative property of certain operations, likely to optimize memory usage or improve performance.

AI Summary: This feature request aims to add support for the Spark `levenshtein` function within Comet. Currently, queries using this function fall back to Spark's JVM execution. Implementing this will allow Comet to natively accelerate Spark workloads that utilize Levenshtein distance calculations for string comparison.

AI Summary: This issue is a "good first issue" requesting a new fun fact about Japan to be added to the `japan-facts.json` file. The task involves opening the specified file, appending the provided fact to the JSON array, and submitting a pull request with a specific title and issue closing link.