Importing the library as either main or a specific release

runtime_vis @ git+https://github.com/chrisxaustin/python-runtime-vis.git@main
runtime_vis @ git+https://github.com/chrisxaustin/python-runtime-vis.git@v1.0

Updating requirements with pip

pip install --upgrade -r requirements.txt

Examples

The following example will call some_method with the argument 1000, then 2000, etc.

vis = Vis()
vis.visualize(
    some_method,
    [1000,2000,4000,8000]
)

This prints the results as they are observed:

vis.visualize(
    batch,
    [1000, 2000, 4000, 8000, 16000, 32000, 64000, 128000, 256000],
    performance_callback=lambda size, time, complexity, confidence: print(f"{size}\t{time:0.2f}\t{complexity}\t{confidence:0.2f}%"),
    keep_open=False
)

Sample output:

1000	0.04	None	0.00%
2000	0.17	n2	100.00%
4000	0.66	n2	99.99%
8000	2.61	n2	99.96%
16000	10.43	n2	99.99%

Curve names

Name	Big O
n	O(n)
logn	O(log n)
nlogn	O(n log n)
n2	O(n^2)
n3	O(n^3)
2n	O(s^n)