f3c77b1750
- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads. - Added a comprehensive training utility for the model, including loss functions and training steps. - Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
34 lines
1.0 KiB
Markdown
34 lines
1.0 KiB
Markdown
# Search and Replace Guidelines
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## search_and_replace
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```xml
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<search_and_replace>
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<path>File path here</path>
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<operations>
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[{"search":"old_text","replace":"new_text","use_regex":true}]
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</operations>
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</search_and_replace>
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```
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### Required Parameters:
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- `path`: The file path to modify
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- `operations`: JSON array of search and replace operations
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### Each Operation Must Include:
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- `search`: The text to search for (REQUIRED)
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- `replace`: The text to replace with (REQUIRED)
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- `use_regex`: Boolean indicating whether to use regex (optional, defaults to false)
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### Common Errors to Avoid:
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- Missing `search` parameter
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- Missing `replace` parameter
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- Invalid JSON format in operations array
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- Attempting to modify non-existent files
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- Malformed regex patterns when use_regex is true
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### Best Practices:
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- Always include both search and replace parameters
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- Verify the file exists before attempting to modify it
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- Use apply_diff for complex changes instead
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- Test regex patterns separately before using them
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- Escape special characters in regex patterns |