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Contents 1 Frequently Asked Questions 2 Python Codec Speed Tests 2.1 Without NumPy (old) 2.2 With NumPy (thanks to James Bergstra)

Frequently Asked Questions

We're waiting for your questions!

Python Codec Speed Tests

These are ad-hoc tests done without being careful. They are meant to give a flavor of the speed of this codec.

Without NumPy (old)

Type 1 (Big Observations)  :: 498 milliseconds per step (2 steps per second) Type 2 (Regular Observations) :: .60 milliseconds per step (1667 steps per second)

With NumPy (thanks to James Bergstra)

Type 1 (Big Observations)  :: 41 milliseconds per step (24.4 steps per second) Type 2 (Regular Observations) :: .60 milliseconds per step (1667 steps per second)

That's a 10x speedup on large observations!