Vehicle-Anti-Theft-Face-Rec.../venv/Lib/site-packages/prompt_toolkit/contrib/regular_languages/lexer.py

92 lines
3.3 KiB
Python

"""
`GrammarLexer` is compatible with other lexers and can be used to highlight
the input using a regular grammar with annotations.
"""
from typing import Callable, Dict, Optional
from prompt_toolkit.document import Document
from prompt_toolkit.formatted_text.base import StyleAndTextTuples
from prompt_toolkit.formatted_text.utils import split_lines
from prompt_toolkit.lexers import Lexer
from .compiler import _CompiledGrammar
__all__ = [
"GrammarLexer",
]
class GrammarLexer(Lexer):
"""
Lexer which can be used for highlighting of fragments according to variables in the grammar.
(It does not actual lexing of the string, but it exposes an API, compatible
with the Pygments lexer class.)
:param compiled_grammar: Grammar as returned by the `compile()` function.
:param lexers: Dictionary mapping variable names of the regular grammar to
the lexers that should be used for this part. (This can
call other lexers recursively.) If you wish a part of the
grammar to just get one fragment, use a
`prompt_toolkit.lexers.SimpleLexer`.
"""
def __init__(
self,
compiled_grammar: _CompiledGrammar,
default_style: str = "",
lexers: Optional[Dict[str, Lexer]] = None,
) -> None:
self.compiled_grammar = compiled_grammar
self.default_style = default_style
self.lexers = lexers or {}
def _get_text_fragments(self, text: str) -> StyleAndTextTuples:
m = self.compiled_grammar.match_prefix(text)
if m:
characters: StyleAndTextTuples = [(self.default_style, c) for c in text]
for v in m.variables():
# If we have a `Lexer` instance for this part of the input.
# Tokenize recursively and apply tokens.
lexer = self.lexers.get(v.varname)
if lexer:
document = Document(text[v.start : v.stop])
lexer_tokens_for_line = lexer.lex_document(document)
text_fragments: StyleAndTextTuples = []
for i in range(len(document.lines)):
text_fragments.extend(lexer_tokens_for_line(i))
text_fragments.append(("", "\n"))
if text_fragments:
text_fragments.pop()
i = v.start
for t, s, *_ in text_fragments:
for c in s:
if characters[i][0] == self.default_style:
characters[i] = (t, characters[i][1])
i += 1
# Highlight trailing input.
trailing_input = m.trailing_input()
if trailing_input:
for i in range(trailing_input.start, trailing_input.stop):
characters[i] = ("class:trailing-input", characters[i][1])
return characters
else:
return [("", text)]
def lex_document(self, document: Document) -> Callable[[int], StyleAndTextTuples]:
lines = list(split_lines(self._get_text_fragments(document.text)))
def get_line(lineno: int) -> StyleAndTextTuples:
try:
return lines[lineno]
except IndexError:
return []
return get_line