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Methods for modifying array values using immutable indexing patterns.
Distinguishing note: Focuses on functional-style array updates, distinct from in-place mutation.
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This project is a high-performance numerical computing library designed for large-scale scientific and machine learning workloads. It functions as an automatic differentiation framework and a just-in-time compilation engine, transforming high-level Python code into optimized machine instructions. By enforcing pure functional programming patterns and immutable array semantics, the library ensures that mathematical functions remain compatible with automated graph transformations and symbolic differentiation. The platform distinguishes itself through its distributed array computing capabilities,
Modifies array values using immutable indexing operations to ensure compatibility with functional programming patterns.