"""
EnhanceSemanticIntegration
Generated by Eden via recursive self-improvement
2025-11-01 09:12:18.252754
"""

import nltk
from nltk.corpus import wordnet as wn

def enhance_semantic_integration(text):
    """
    Enhance the semantic integration of input text by analyzing synonyms,
    antonyms, and hypernyms/hyponyms for improved understanding.
    
    :param text: A string containing the text to be processed.
    :return: A list of enhanced words with their synonym sets, antonym sets, and hierarchical relationships.
    """
    # Ensure the necessary NLTK data is downloaded
    nltk.download('wordnet')
    
    # Tokenize the input text into individual words
    tokens = nltk.word_tokenize(text)
    
    enhanced_words = []
    
    for token in tokens:
        # Get synonyms, antonyms, and hypernyms/hyponyms
        synsets = wn.synsets(token)
        
        if not synsets:
            continue  # Skip the word if no synsets are found
        
        synonyms = {word.lemmas()[0].name() for synset in synsets for word in synset.lemmas()}
        antonyms = set()
        hierarchy = {}
        
        for synset in synsets:
            for lemma in synset.lemmas():
                if lemma.antonyms():
                    antonyms.update({antonym.name() for antonym in lemma.antonyms()})
                hypernyms = [hypernym for hypernym in synset.hypernyms()]
                hyponyms = [hyponym for hyponym in synset.hyponyms()]
                
                hierarchy[synset] = {
                    'hypernyms': {h.name() for h in hypernyms},
                    'hyponyms': {h.name() for h in hyponyms}
                }
        
        # Add the original token and its enhancements to the list
        enhanced_words.append({
            'token': token,
            'synonyms': list(synonyms),
            'antonyms': list(antonyms),
            'hierarchy': hierarchy
        })
    
    return enhanced_words

# Example usage
input_text = "The quick brown fox jumps over the lazy dog."
enhanced_data = enhance_semantic_integration(input_text)
for word_info in enhanced_data:
    print(f"Token: {word_info['token']}")
    print("Synonyms:", word_info['synonyms'])
    print("Antonyms:", word_info['antonyms'])
    print("Hierarchy:")
    for synset, relationships in word_info['hierarchy'].items():
        print(f"{synset.name()}:")
        print("  Hypernyms:", relationships['hypernyms'])
        print("  Hyponyms:", relationships['hyponyms'])