# What is tencdec A number array to/from bytes high performance encoder/decoder. It gets a list of monotonic increasing integers and can encode it to a byte object very fast in a compressed form using deltas. Then you may store that byte object in a DB or whatever, and when you need the list of integers back, you just decode it. https://github.com/facundobatista/tencdec Example: ```

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numbers = [0, 1, 2, 3, 4, 28, 87, 87, 500, 501, 507, 2313] enc = tencdec.encode(numbers) enc b'\x00\x01\x01\x01\x01\x18;\x00\x9d\x03\x01\x06\x8e\x0e' dec = tencdec.decode(enc) numbers == dec True

And it's very fast!

Using the numbers from the example above, `timeit` shows around 2
microseconds to encode or decode (in a AMD Ryzen 7 PRO 4750U CPU):

$ python3 -m timeit -s "import tencdec; numbers = [0, 1, 2, 3, 4, 28, 87, 87, 500, 501, 507, 2313]" "tencdec.encode(numbers)" 100000 loops, best of 5: 2.28 usec per loop $ python3 -m timeit -s "import tencdec; e = tencdec.encode([0, 1, 2, 3, 4, 28, 87, 87, 500, 501, 507, 2313])" "tencdec.decode(e)" 100000 loops, best of 5: 2.42 usec per loop ``` The restriction are that numbers need to be integers (else encoding will crash with `TypeError`) and monotonic increasing positive (this is verified, otherwise it gets into an infinite loop, but with an `assert` so you may disable the verification running Python with `-O` if you are already sure that list of numbers is ok). Note that there are no external dependencies for this. It's just Python 3 and its standard library. -- . Facundo Blog: http://www.taniquetil.com.ar/plog/ PyAr: http://www.python.org.ar/ Twitter: @facundobatista