peilonrayz / graphtimer Goto Github PK
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License: MIT License
Small module to simplify the creation of graphs for timings.
License: MIT License
Sometimes algorithms run better on certain inputs, leading to 'zig-zag' graphs. A simple example of this would be the in operator on a list. Take 0 in [0, 1, ..., n]
as opposed to n in [0, 1, ..., n]
.
This can also be seen in this answer.
We should:
build_functions
with an additional _
parameter.args_conv
to add:
functools.lru_cache
so that each function has equal disadvantages/advantages to their speed._
- which will be used to allow the cache to output different random values.random
and numpy
to set a default seed so the output is reproducible. Allowing further analysis of the data.It seems like 2 and 3 could use the same class.
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