usse/funda-scraper/venv/lib/python3.10/site-packages/pygments/lexers/bdd.py

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"""
pygments.lexers.bdd
~~~~~~~~~~~~~~~~~~~
Lexer for BDD(Behavior-driven development).
More information: https://en.wikipedia.org/wiki/Behavior-driven_development
:copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexer import RegexLexer, include
from pygments.token import Comment, Keyword, Name, String, Number, Text, Punctuation, Whitespace
__all__ = ['BddLexer']
class BddLexer(RegexLexer):
"""
Lexer for BDD(Behavior-driven development), which highlights not only keywords,
but also comments, punctuations, strings, numbers, and variables.
.. versionadded:: 2.11
"""
name = 'Bdd'
aliases = ['bdd']
filenames = ['*.feature']
mimetypes = ['text/x-bdd']
step_keywords = r'Given|When|Then|Add|And|Feature|Scenario Outline|Scenario|Background|Examples|But'
tokens = {
'comments': [
(r'^\s*#.*$', Comment),
],
'miscellaneous': [
(r'(<|>|\[|\]|=|\||:|\(|\)|\{|\}|,|\.|;|-|_|\$)', Punctuation),
(r'((?<=\<)[^\\>]+(?=\>))', Name.Variable),
(r'"([^\"]*)"', String),
(r'^@\S+', Name.Label),
],
'numbers': [
(r'(\d+\.?\d*|\d*\.\d+)([eE][+-]?[0-9]+)?', Number),
],
'root': [
(r'\n|\s+', Whitespace),
(step_keywords, Keyword),
include('comments'),
include('miscellaneous'),
include('numbers'),
(r'\S+', Text),
]
}
def analyse_text(self, text):
return