[Snorkell.ai] Please review the generated documentation for commit - 0334f61 #8
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…334f61_45ef8 Hardening suggestions for huawei-noah-Pretrained-Language-Model / snorkell_ai/auto_doc_0334f61_45ef8
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Hello @Snorkell-ai[bot]! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:
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| warnings.filterwarnings("ignore") | ||
| logging.basicConfig(level=logging.INFO) | ||
| logger = logging.getLogger(__name__) |
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The usage of warnings.filterwarnings("ignore") and the configuration of the logging level to INFO globally at the module level can suppress important warnings and affect the logging configuration of other modules that import this one. It's recommended to handle warnings and logging configurations more locally or explicitly, ensuring that they do not unintentionally suppress important messages or interfere with other modules' logging configurations. Consider configuring logging within a function or class, or using a more specific filter for warnings.
| res = safe_requests.get(img_url, stream=True, verify=True, timeout=5) | ||
| if res.status_code == 200: | ||
| buf = BytesIO() | ||
| buf.write(res.content) |
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The current implementation of downloading and saving the image content directly into a buffer using res.content can be inefficient for large files, as it loads the entire file into memory. This approach can lead to high memory usage and potential memory exhaustion issues. It's recommended to stream the content and write it to the file in chunks. This can be achieved by iterating over res.iter_content(chunk_size=1024) and writing each chunk to the file or buffer, which is more memory-efficient and suitable for handling large files.
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🔍 Ready for Review
This PR focuses exclusively on updating and refining the documentation throughout the codebase. There are no functional changes to the code itself.
Changes:
🐍 Noah_Wukong-MindSpore/src/dataset/wukong_download.py
🙏 Request:
Please review the changes to ensure that the documentation is clear, accurate, and adheres to our project's standards.
Any feedback regarding areas that might still need clarification or additional details would be highly appreciated.
You can also raise the request on the Snorkell Community or mail us at support@snorkell.ai