You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
bazarr/libs/pygments/lexers/ezhil.py

77 lines
3.3 KiB

"""
pygments.lexers.ezhil
~~~~~~~~~~~~~~~~~~~~~
Pygments lexers for Ezhil language.
:copyright: Copyright 2006-2021 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, include, words, bygroups
from pygments.token import Keyword, Text, Comment, Name
from pygments.token import String, Number, Punctuation, Operator, Whitespace
__all__ = ['EzhilLexer']
class EzhilLexer(RegexLexer):
"""
Lexer for `Ezhil, a Tamil script-based programming language <http://ezhillang.org>`_
.. versionadded:: 2.1
"""
name = 'Ezhil'
aliases = ['ezhil']
filenames = ['*.n']
mimetypes = ['text/x-ezhil']
flags = re.MULTILINE | re.UNICODE
# Refer to tamil.utf8.tamil_letters from open-tamil for a stricter version of this.
# This much simpler version is close enough, and includes combining marks.
_TALETTERS = '[a-zA-Z_]|[\u0b80-\u0bff]'
tokens = {
'root': [
include('keywords'),
(r'#.*$', Comment.Single),
(r'[@+/*,^\-%]|[!<>=]=?|&&?|\|\|?', Operator),
('இல்', Operator.Word),
(words(('assert', 'max', 'min',
'நீளம்', 'சரம்_இடமாற்று', 'சரம்_கண்டுபிடி',
'பட்டியல்', 'பின்இணை', 'வரிசைப்படுத்து',
'எடு', 'தலைகீழ்', 'நீட்டிக்க', 'நுழைக்க', 'வை',
'கோப்பை_திற', 'கோப்பை_எழுது', 'கோப்பை_மூடு',
'pi', 'sin', 'cos', 'tan', 'sqrt', 'hypot', 'pow',
'exp', 'log', 'log10', 'exit',
), suffix=r'\b'), Name.Builtin),
(r'(True|False)\b', Keyword.Constant),
(r'[^\S\n]+', Whitespace),
include('identifier'),
include('literal'),
(r'[(){}\[\]:;.]', Punctuation),
],
'keywords': [
('பதிப்பி|தேர்ந்தெடு|தேர்வு|ஏதேனில்|ஆனால்|இல்லைஆனால்|இல்லை|ஆக|ஒவ்வொன்றாக|இல்|வரை|செய்|முடியேனில்|பின்கொடு|முடி|நிரல்பாகம்|தொடர்|நிறுத்து|நிரல்பாகம்', Keyword),
],
'identifier': [
('(?:'+_TALETTERS+')(?:[0-9]|'+_TALETTERS+')*', Name),
],
'literal': [
(r'".*?"', String),
(r'(?u)\d+((\.\d*)?[eE][+-]?\d+|\.\d*)', Number.Float),
(r'(?u)\d+', Number.Integer),
]
}
def analyse_text(text):
"""This language uses Tamil-script. We'll assume that if there's a
decent amount of Tamil-characters, it's this language. This assumption
is obviously horribly off if someone uses string literals in tamil
in another language."""
if len(re.findall(r'[\u0b80-\u0bff]', text)) > 10:
return 0.25
def __init__(self, **options):
super().__init__(**options)
self.encoding = options.get('encoding', 'utf-8')