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Directory :  /usr/lib/python3/dist-packages/markdown_it/

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Current File : /usr/lib/python3/dist-packages/markdown_it/parser_inline.py
"""Tokenizes paragraph content.
"""
from __future__ import annotations

from . import rules_inline
from .ruler import RuleFunc, Ruler
from .rules_inline.state_inline import StateInline
from .token import Token

# Parser rules
_rules: list[tuple[str, RuleFunc]] = [
    ("text", rules_inline.text),
    ("newline", rules_inline.newline),
    ("escape", rules_inline.escape),
    ("backticks", rules_inline.backtick),
    ("strikethrough", rules_inline.strikethrough.tokenize),
    ("emphasis", rules_inline.emphasis.tokenize),
    ("link", rules_inline.link),
    ("image", rules_inline.image),
    ("autolink", rules_inline.autolink),
    ("html_inline", rules_inline.html_inline),
    ("entity", rules_inline.entity),
]

_rules2: list[tuple[str, RuleFunc]] = [
    ("balance_pairs", rules_inline.link_pairs),
    ("strikethrough", rules_inline.strikethrough.postProcess),
    ("emphasis", rules_inline.emphasis.postProcess),
    ("text_collapse", rules_inline.text_collapse),
]


class ParserInline:
    def __init__(self):
        self.ruler = Ruler()
        for name, rule in _rules:
            self.ruler.push(name, rule)
        # Second ruler used for post-processing (e.g. in emphasis-like rules)
        self.ruler2 = Ruler()
        for name, rule2 in _rules2:
            self.ruler2.push(name, rule2)

    def skipToken(self, state: StateInline) -> None:
        """Skip single token by running all rules in validation mode;
        returns `True` if any rule reported success
        """
        ok = False
        pos = state.pos
        rules = self.ruler.getRules("")
        maxNesting = state.md.options["maxNesting"]
        cache = state.cache

        if pos in cache:
            state.pos = cache[pos]
            return

        if state.level < maxNesting:
            for rule in rules:
                #  Increment state.level and decrement it later to limit recursion.
                # It's harmless to do here, because no tokens are created.
                # But ideally, we'd need a separate private state variable for this purpose.
                state.level += 1
                ok = rule(state, True)
                state.level -= 1
                if ok:
                    break
        else:
            # Too much nesting, just skip until the end of the paragraph.
            #
            # NOTE: this will cause links to behave incorrectly in the following case,
            #       when an amount of `[` is exactly equal to `maxNesting + 1`:
            #
            #       [[[[[[[[[[[[[[[[[[[[[foo]()
            #
            # TODO: remove this workaround when CM standard will allow nested links
            #       (we can replace it by preventing links from being parsed in
            #       validation mode)
            #
            state.pos = state.posMax

        if not ok:
            state.pos += 1
        cache[pos] = state.pos

    def tokenize(self, state: StateInline) -> None:
        """Generate tokens for input range."""
        ok = False
        rules = self.ruler.getRules("")
        end = state.posMax
        maxNesting = state.md.options["maxNesting"]

        while state.pos < end:
            # Try all possible rules.
            # On success, rule should:
            #
            # - update `state.pos`
            # - update `state.tokens`
            # - return true

            if state.level < maxNesting:
                for rule in rules:
                    ok = rule(state, False)
                    if ok:
                        break

            if ok:
                if state.pos >= end:
                    break
                continue

            state.pending += state.src[state.pos]
            state.pos += 1

        if state.pending:
            state.pushPending()

    def parse(self, src: str, md, env, tokens: list[Token]) -> list[Token]:
        """Process input string and push inline tokens into `tokens`"""
        state = StateInline(src, md, env, tokens)
        self.tokenize(state)
        rules2 = self.ruler2.getRules("")
        for rule in rules2:
            rule(state)
        return state.tokens

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