Attempt to figure out whether multiple datasets are actually two Gaussian distributions.

Specifically: read an input file that looks EXACTLY like

Elapsed Times (ms)
STEP 1	STEP 2	STEP 3
179	112	68
164	60	154
167	61	125
...	...	...

into 3 lists of ints: [179, 164, 167, ...] and so forth.

Then does some NumPy and scikit-learn black magic to assess whether each list of ints fits two overlapping Gaussian distributions. Prints some numbers.

One time only:

python3 -m venv venv
./venv/bin/pip install -r requirements.txt

./bigauss.py <INFILE>