math-a3k

======================================
On Github’s Copilot copyright concerns
======================================

(Submission for https://www.fsf.org/blogs/licensing/fsf-funded-call-for-white-papers-on-philosophical-and-legal-questions-around-copilot)


In Software, a machine-learning model is the application of a mathematical model - usually from Probability and Statistics - to the decision process.

The same mathematical model can be implemented to perform an analysis on other realms - i.e. in gene sequencing it may be called a Bioinformatics model.

math-a3k

# Adapted from https://gist.github.com/math-a3k/4f660fcc7976a63049b92feed77ca759

from itertools import combinations
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from scipy.special import comb
from sklearn.ensemble import HistGradientBoostingClassifier

math-a3k

from itertools import combinations
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from scipy.special import comb
from sklearn.ensemble import HistGradientBoostingClassifier

matplotlib.use("GTK3Cairo")
np.random.seed(123456)

math-a3k

#
import argparse
from sys import stdout 

parser = argparse.ArgumentParser(
	description='Updates the plural forms of a .po from initial to final')

parser.add_argument('pofile', type=str, help='Po file to be updated')

parser.add_argument("--from", type=int, dest='from_plural',