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* ⚡️ Speed up method `Graph.sort_chat_inputs_first` by 152%
Certainly! Optimization in this large context requires streamlining I/O operations, leveraging efficient data structures, and minimizing repeated operations. Below is the optimized version that focuses on these aspects.
### Explanation of Improvements.
1. **Remove Unnecessary Attributes**: Removed unused attributes to reduce memory footprint and complexity.
2. **Streamlined `__deepcopy__` Method**: Combined conditional logic to avoid redundant checks.
3. **Efficient Loop Handling**: Used list comprehensions and in-place modifications for the layers in the `sort_chat_inputs_first` method to reduce additional loops and copies.
4. **Exception Handling**: Simplified exception raise statements for clarity.
These changes focus on minimizing redundant operations, optimizing data structure usages, and ensuring that the operations performed are as direct and efficient as possible. Further optimization could be performed by profiling this code with real data to identify specific bottlenecks.
* Remove extra imports
* fix lint issues
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Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
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