algo change

[haritha1313]

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Hot-Path Documentation Analysis

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Semantic Analysis Summary

• 1 files analyzed in 66.4s
• 0 added, 0 deleted

Change Classification (using Zhang-Shasha tree edit distance):

• IDENTICAL: 16 files
• REWRITE: 1 files

Documentation Impact:

• HIGH priority (MAJOR/REWRITE): 1 files need docs
• MEDIUM priority (MINOR): 0 files

Code Entities:

• Total entities found: 257
• Documented: 73
• Undocumented: 192
• Code communities detected: 1

High Priority Changes (Require Documentation)

algorithmia.py

• Change Type: REWRITE
• Tree Edit Distance: 0.88
• Language: python

AI-Generated Documentation Suggestions

The following suggestions were generated using LLM analysis:

1. algorithmia.py - algorithmia

Change Type: REWRITE
Confidence: 85%

Explanation:

This documentation covers the algorithmia module which implements emotion recognition with advanced features like weighted emotion scoring and temporal smoothing. The module contains two main functions: calculate_weighted_emotion and smooth_emotion_with_history. The first applies weights to different emotions (giving higher importance to emotions like Angry and Fear), while the second implements a temporal smoothing algorithm that prevents rapid emotion switching by considering recent emotion history. The module appears to be part of a larger system that likely uses the Algorithmia API for emotion recognition from images, though the actual API call function is not visible in the provided code snippet.

View Suggestion

# algorithmia Module Documentation

This module provides emotion recognition functionality using the Algorithmia API and implements emotion smoothing and weighting algorithms.

## Key Functions

### calculate_weighted_emotion(emotions_dict)

Applies weighted scoring to emotion confidence values to emphasize certain emotions.

**Parameters:**
- `emotions_dict` (dict): Dictionary mapping emotion names to confidence scores

**Returns:**
- dict: Dictionary of emotions with weighted confidence scores

Cost for this analysis: $0.0152

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Next Steps

1. Review the changed code files above
2. Update corresponding documentation
3. Test that examples in docs still work
4. Consider applying AI suggestions (review carefully first)

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[haritha1313]

/update-docs

[haritha1313]

/update-docs