def test_map_tokens_in_range(self):
text = '1.2. мама ಶ್ರೀರಾಮ'
tm = TextMap(text)
tokens = tm.tokens_by_range([0, 2])
self.assertEqual(len(tokens), 2)
self.assertEqual(tokens[0], '1.2.')
self.assertEqual(tokens[1], 'мама')
def line_features(tokens_map: TextMap, line_span: (int, int), line_number: int,
prev_features):
tokens: Tokens = tokens_map.tokens_by_range(line_span)
# TODO: add previous and next lines features
txt: str = tokens_map.text_range(line_span)
numbers, span, k, s = get_tokenized_line_number(tokens, 0)
if not numbers:
numbers = []
number_minor = -2
number_major = -2
else:
number_minor = numbers[-1]
number_major = numbers[0]
header_id = ' '.join(tokens[span[1]:])
header_id = header_id.lower()
all_upper = header_id.upper() == header_id
features = {
'line_number': line_number,
# 'popular': _onehot(header_id in popular_headers),
# 'cr_count': txt.count('\r'),
'has_contract': _onehot(txt.lower().find('договор')),
'has_article': _onehot(txt.lower().find('статья')),
'all_uppercase': _onehot(all_upper),
'len_tokens': len(tokens),
'len_chars': len(txt),
'number_level': len(numbers),
'number_minor': number_minor,
'number_major': number_major,
'number_roman': _onehot(s),
'endswith_dot': _onehot(txt.rstrip().endswith('.')),
'endswith_comma': _onehot(txt.rstrip().endswith(',')),
'endswith_underscore': _onehot(txt.rstrip().endswith('_')),
# counts
'dots': header_id.count('.'),
'tabs': txt.count('\t'),
'spaces_inside': txt.strip().count(' '),
'spaces_all': txt.count(' '),
'commas': header_id.count(','),
'brackets': _count_strange_symbols(txt, '(){}[]'),
'dashes': header_id.count('-'),
'colons': header_id.count(':'),
'semicolons': header_id.count(';'),
'strange_symbols': _count_strange_symbols(header_id, '[$@+]?^&'),
'capitals': _count_capitals(txt),
'digits': _count_digits(header_id),
'quotes': _count_strange_symbols(txt, '«»"\'"'),
'underscores': _count_strange_symbols(txt, '_')
}
# if prev_features is None:
# # features['prev-number_level'] = 0
# features['prev-len_chars']=-1
# else:
# # features['prev-number_level'] = prev_features['number_level']
# features['prev-len_chars'] = prev_features['len_chars']
return features
