Add issue template - #3452
Add issue template#3452
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Caution Review failedThe pull request is closed. ℹ️ Recent review info⚙️ Run configurationConfiguration used: defaults Review profile: CHILL Plan: Pro Run ID: 📒 Files selected for processing (2)
📝 WalkthroughWalkthroughTwo new GitHub issue templates are added to standardize bug reporting and feature request submissions. Each template includes predefined metadata (labels, title prefixes) and structured forms to guide users in providing relevant information. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Poem
✨ Finishing Touches🧪 Generate unit tests (beta)
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Code Review
This pull request introduces GitHub issue templates for bug reports and feature requests to standardize issue submissions. The review feedback suggests generalizing the environment section in the bug report template to accommodate the project's multi-language and multi-platform support, as well as adding a markdown placeholder for logs to ensure better formatting and readability.
| ### Environment | ||
| - `sherpa-onnx` version: | ||
| - OS: | ||
| - Python version: | ||
| - onnxruntime version: | ||
| - GPU (if applicable): | ||
| - NPU (if applicable): |
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The environment section is currently Python-centric. Since sherpa-onnx supports a wide range of programming languages (C++, Java, Swift, Rust, etc.) and platforms (Android, iOS, WebAssembly), it is better to use more generic fields that apply to all users while still allowing for specific details like Python or onnxruntime versions where relevant.
| ### Environment | |
| - `sherpa-onnx` version: | |
| - OS: | |
| - Python version: | |
| - onnxruntime version: | |
| - GPU (if applicable): | |
| - NPU (if applicable): | |
| ### Environment | |
| - sherpa-onnx version: | |
| - OS & Version (e.g., Ubuntu 22.04, Android 13, macOS 14): | |
| - Programming Language & Version (e.g., Python 3.10, C++ 17, Kotlin 1.9): | |
| - Hardware Architecture (e.g., x86_64, ARM64, Raspberry Pi 4): | |
| - Accelerator & Version (e.g., onnxruntime 1.17.1, CUDA 12.1, RKNN, QNN): |
| - GPU (if applicable): | ||
| - NPU (if applicable): | ||
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| ### Logs |
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