78 lines
3.3 KiB
Python
78 lines
3.3 KiB
Python
|
# -*- coding: utf-8 -*-
|
||
|
"""
|
||
|
pygments.lexers.ezhil
|
||
|
~~~~~~~~~~~~~~~~~~~~~
|
||
|
|
||
|
Pygments lexers for Ezhil language.
|
||
|
|
||
|
:copyright: Copyright 2006-2020 by the Pygments team, see AUTHORS.
|
||
|
:license: BSD, see LICENSE for details.
|
||
|
"""
|
||
|
|
||
|
import re
|
||
|
from pygments.lexer import RegexLexer, include, words
|
||
|
from pygments.token import Keyword, Text, Comment, Name
|
||
|
from pygments.token import String, Number, Punctuation, Operator
|
||
|
|
||
|
__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'#.*\n', 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]+', Text),
|
||
|
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')
|