Module Instance

"feature5": 0.2 } # Create architecture and add modules architecture = Architecture() module1 = Module("Module 1", "This is the first module with feature1 and feature2") module2 = Module("Module 2", "This is the second module with feat…

class ResizingModule(nn.Module): def __init__(self): super(ResizingModule, self).__init__() self.fc1 = nn.Linear(512, 128) self.fc2 = nn.Linear(128, 128) def forward(self, x): x = torch.relu(self.fc1…

print(module.get_synonyms('hello')) # Output: [] ``` ### Explanation 1. **Thread Safety**: - Use a `threading.Lock` to ensure thread-safe access to the `synonyms` dictionary. - The `with self.lock:` context manager ensures that onl…

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2. **Efficient Data Structures**: Use a more efficient data structure like a `defaultdict` to handle multiple synonyms. 3. **Integration with Elasticsearch**: Ensure that the rewritten queries are indexed correctly. ### Updated Code Here'…

self.synonyms[context][term].append(synonym) def get_synonyms(self, term, context): return self.synonyms[context].get(term, []) # Example usage: module = ContextAwareSynonymLookupModule() # Add synonyms with context m…