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Benchmarking: Updated the Attentive kernel benchmark to use tf.Adam for better performance, and added mutual information (MI) to benchmark outputs.
Attentive kernel: Skip redundant representation computation when inputs match for faster execution.
Metrics: Added mean squared error (MSE).
Datasets: Added support for .npy datasets.
TSP: Removed the planner-level time limit argument and improved solver behavior/options (initial path support, solution limits, and running the secondary solver only when a time limit is provided).
Packaging
Capped setuptools to address pkg_resources deprecation issues, tightened dependency constraints (including TensorFlow-related requirements), and added numba.