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Authorities have warned that further flooding and landslides remain possible.
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I don't know JAX well enough to explain exactly why it's 3x faster than NumPy on the same matrix multiplications. Both call BLAS under the hood. My best guess is that JAX's @jit compiles the entire function -- matrix build, loop, dot products -- so Python is never involved between operations, while NumPy returns to Python between each @ call. But I haven't verified that in detail. Might be time to learn.
what you mean and you accept people as humans. Sometimes people aren't
Example: switch to the 5th buffer