How does NumPy handle internal array dtype conversion pipelines?

NumPy converts dtypes through a staged pipeline involving casting rules and temporary buffers.

When dtype conversion is required, NumPy determines a safe target dtype, allocates a new buffer if needed, and performs element-wise casting using optimized C loops. If unsafe casting is attempted, NumPy raises errors or warnings depending on configuration. This ensures both performance and correctness.