<commit_before>from pylab import *

output = atleast_2d(loadtxt('sample.txt'))

figure(figsize=(13, 6))
ion()
hold(False)
for i in xrange(0, output.shape[0]):
	model = output[i, 3:]
	hist(model, 300, alpha=0.2)
	axis([0., 1., 0., 10.])<commit_msg>xrange --> range<commit_after>from pylab import *

output = atleast_2d(loadtxt('sample.txt'))

figure(figsize=(13, 6))
ion()
hold(False)
for i in range(0, output.shape[0]):
	model = output[i, 3:]
	hist(model, 300, alpha=0.2)
	axis([0., 1., 0., 10.])
{'fraction_non_alphanumeric': 0.21169354838709678, 'fraction_numerical': 0.06854838709677419, 'mean_word_length': 5.135802469135802, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4990131', 'n_tokens_mistral': 233, 'n_tokens_neox': 204, 'n_words': 48}