You cannot select more than 25 topics
			Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
		
		
		
		
		
			
		
			
				
	
	
		
			58 lines
		
	
	
		
			1.6 KiB
		
	
	
	
		
			Python
		
	
			
		
		
	
	
			58 lines
		
	
	
		
			1.6 KiB
		
	
	
	
		
			Python
		
	
"""
 | 
						|
    pygments.lexers.bdd
 | 
						|
    ~~~~~~~~~~~~~~~~~~~
 | 
						|
 | 
						|
    Lexer for BDD(Behavior-driven development).
 | 
						|
 | 
						|
    :copyright: Copyright 2006-2025 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.
 | 
						|
    """
 | 
						|
 | 
						|
    name = 'Bdd'
 | 
						|
    aliases = ['bdd']
 | 
						|
    filenames = ['*.feature']
 | 
						|
    mimetypes = ['text/x-bdd']
 | 
						|
    url = 'https://en.wikipedia.org/wiki/Behavior-driven_development'
 | 
						|
    version_added = '2.11'
 | 
						|
 | 
						|
    step_keywords = (r'Given|When|Then|Add|And|Feature|Scenario Outline|'
 | 
						|
                     r'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
 |