venv/lib/python3.11/site-packages/blib2to3/pgen2/pgen.py

# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.

# Pgen imports
from . import grammar, token, tokenize

from typing import (
    Any,
    Dict,
    IO,
    Iterator,
    List,
    Optional,
    Tuple,
    Union,
    Sequence,
    NoReturn,
)
from blib2to3.pgen2 import grammar
from blib2to3.pgen2.tokenize import GoodTokenInfo
import os


Path = Union[str, "os.PathLike[str]"]


class PgenGrammar(grammar.Grammar):
    pass


class ParserGenerator:
    filename: Path
    stream: IO[str]
    generator: Iterator[GoodTokenInfo]
    first: Dict[str, Optional[Dict[str, int]]]

    def __init__(self, filename: Path, stream: Optional[IO[str]] = None) -> None:
        close_stream = None
        if stream is None:
            stream = open(filename, encoding="utf-8")
            close_stream = stream.close
        self.filename = filename
        self.stream = stream
        self.generator = tokenize.generate_tokens(stream.readline)
        self.gettoken()  # Initialize lookahead
        self.dfas, self.startsymbol = self.parse()
        if close_stream is not None:
            close_stream()
        self.first = {}  # map from symbol name to set of tokens
        self.addfirstsets()

    def make_grammar(self) -> PgenGrammar:
        c = PgenGrammar()
        names = list(self.dfas.keys())
        names.sort()
        names.remove(self.startsymbol)
        names.insert(0, self.startsymbol)
        for name in names:
            i = 256 + len(c.symbol2number)
            c.symbol2number[name] = i
            c.number2symbol[i] = name
        for name in names:
            dfa = self.dfas[name]
            states = []
            for state in dfa:
                arcs = []
                for label, next in sorted(state.arcs.items()):
                    arcs.append((self.make_label(c, label), dfa.index(next)))
                if state.isfinal:
                    arcs.append((0, dfa.index(state)))
                states.append(arcs)
            c.states.append(states)
            c.dfas[c.symbol2number[name]] = (states, self.make_first(c, name))
        c.start = c.symbol2number[self.startsymbol]
        return c

    def make_first(self, c: PgenGrammar, name: str) -> Dict[int, int]:
        rawfirst = self.first[name]
        assert rawfirst is not None
        first = {}
        for label in sorted(rawfirst):
            ilabel = self.make_label(c, label)
            ##assert ilabel not in first # XXX failed on <> ... !=
            first[ilabel] = 1
        return first

    def make_label(self, c: PgenGrammar, label: str) -> int:
        # XXX Maybe this should be a method on a subclass of converter?
        ilabel = len(c.labels)
        if label[0].isalpha():
            # Either a symbol name or a named token
            if label in c.symbol2number:
                # A symbol name (a non-terminal)
                if label in c.symbol2label:
                    return c.symbol2label[label]
                else:
                    c.labels.append((c.symbol2number[label], None))
                    c.symbol2label[label] = ilabel
                    return ilabel
            else:
                # A named token (NAME, NUMBER, STRING)
                itoken = getattr(token, label, None)
                assert isinstance(itoken, int), label
                assert itoken in token.tok_name, label
                if itoken in c.tokens:
                    return c.tokens[itoken]
                else:
                    c.labels.append((itoken, None))
                    c.tokens[itoken] = ilabel
                    return ilabel
        else:
            # Either a keyword or an operator
            assert label[0] in ('"', "'"), label
            value = eval(label)
            if value[0].isalpha():
                if label[0] == '"':
                    keywords = c.soft_keywords
                else:
                    keywords = c.keywords

                # A keyword
                if value in keywords:
                    return keywords[value]
                else:
                    c.labels.append((token.NAME, value))
                    keywords[value] = ilabel
                    return ilabel
            else:
                # An operator (any non-numeric token)
                itoken = grammar.opmap[value]  # Fails if unknown token
                if itoken in c.tokens:
                    return c.tokens[itoken]
                else:
                    c.labels.append((itoken, None))
                    c.tokens[itoken] = ilabel
                    return ilabel

    def addfirstsets(self) -> None:
        names = list(self.dfas.keys())
        names.sort()
        for name in names:
            if name not in self.first:
                self.calcfirst(name)
            # print name, self.first[name].keys()

    def calcfirst(self, name: str) -> None:
        dfa = self.dfas[name]
        self.first[name] = None  # dummy to detect left recursion
        state = dfa[0]
        totalset: Dict[str, int] = {}
        overlapcheck = {}
        for label, next in state.arcs.items():
            if label in self.dfas:
                if label in self.first:
                    fset = self.first[label]
                    if fset is None:
                        raise ValueError("recursion for rule %r" % name)
                else:
                    self.calcfirst(label)
                    fset = self.first[label]
                    assert fset is not None
                totalset.update(fset)
                overlapcheck[label] = fset
            else:
                totalset[label] = 1
                overlapcheck[label] = {label: 1}
        inverse: Dict[str, str] = {}
        for label, itsfirst in overlapcheck.items():
            for symbol in itsfirst:
                if symbol in inverse:
                    raise ValueError(
                        "rule %s is ambiguous; %s is in the first sets of %s as well"
                        " as %s" % (name, symbol, label, inverse[symbol])
                    )
                inverse[symbol] = label
        self.first[name] = totalset

    def parse(self) -> Tuple[Dict[str, List["DFAState"]], str]:
        dfas = {}
        startsymbol: Optional[str] = None
        # MSTART: (NEWLINE | RULE)* ENDMARKER
        while self.type != token.ENDMARKER:
            while self.type == token.NEWLINE:
                self.gettoken()
            # RULE: NAME ':' RHS NEWLINE
            name = self.expect(token.NAME)
            self.expect(token.OP, ":")
            a, z = self.parse_rhs()
            self.expect(token.NEWLINE)
            # self.dump_nfa(name, a, z)
            dfa = self.make_dfa(a, z)
            # self.dump_dfa(name, dfa)
            oldlen = len(dfa)
            self.simplify_dfa(dfa)
            newlen = len(dfa)
            dfas[name] = dfa
            # print name, oldlen, newlen
            if startsymbol is None:
                startsymbol = name
        assert startsymbol is not None
        return dfas, startsymbol

    def make_dfa(self, start: "NFAState", finish: "NFAState") -> List["DFAState"]:
        # To turn an NFA into a DFA, we define the states of the DFA
        # to correspond to *sets* of states of the NFA.  Then do some
        # state reduction.  Let's represent sets as dicts with 1 for
        # values.
        assert isinstance(start, NFAState)
        assert isinstance(finish, NFAState)

        def closure(state: NFAState) -> Dict[NFAState, int]:
            base: Dict[NFAState, int] = {}
            addclosure(state, base)
            return base

        def addclosure(state: NFAState, base: Dict[NFAState, int]) -> None:
            assert isinstance(state, NFAState)
            if state in base:
                return
            base[state] = 1
            for label, next in state.arcs:
                if label is None:
                    addclosure(next, base)

        states = [DFAState(closure(start), finish)]
        for state in states:  # NB states grows while we're iterating
            arcs: Dict[str, Dict[NFAState, int]] = {}
            for nfastate in state.nfaset:
                for label, next in nfastate.arcs:
                    if label is not None:
                        addclosure(next, arcs.setdefault(label, {}))
            for label, nfaset in sorted(arcs.items()):
                for st in states:
                    if st.nfaset == nfaset:
                        break
                else:
                    st = DFAState(nfaset, finish)
                    states.append(st)
                state.addarc(st, label)
        return states  # List of DFAState instances; first one is start

    def dump_nfa(self, name: str, start: "NFAState", finish: "NFAState") -> None:
        print("Dump of NFA for", name)
        todo = [start]
        for i, state in enumerate(todo):
            print("  State", i, state is finish and "(final)" or "")
            for label, next in state.arcs:
                if next in todo:
                    j = todo.index(next)
                else:
                    j = len(todo)
                    todo.append(next)
                if label is None:
                    print("    -> %d" % j)
                else:
                    print("    %s -> %d" % (label, j))

    def dump_dfa(self, name: str, dfa: Sequence["DFAState"]) -> None:
        print("Dump of DFA for", name)
        for i, state in enumerate(dfa):
            print("  State", i, state.isfinal and "(final)" or "")
            for label, next in sorted(state.arcs.items()):
                print("    %s -> %d" % (label, dfa.index(next)))

    def simplify_dfa(self, dfa: List["DFAState"]) -> None:
        # This is not theoretically optimal, but works well enough.
        # Algorithm: repeatedly look for two states that have the same
        # set of arcs (same labels pointing to the same nodes) and
        # unify them, until things stop changing.

        # dfa is a list of DFAState instances
        changes = True
        while changes:
            changes = False
            for i, state_i in enumerate(dfa):
                for j in range(i + 1, len(dfa)):
                    state_j = dfa[j]
                    if state_i == state_j:
                        # print "  unify", i, j
                        del dfa[j]
                        for state in dfa:
                            state.unifystate(state_j, state_i)
                        changes = True
                        break

    def parse_rhs(self) -> Tuple["NFAState", "NFAState"]:
        # RHS: ALT ('|' ALT)*
        a, z = self.parse_alt()
        if self.value != "|":
            return a, z
        else:
            aa = NFAState()
            zz = NFAState()
            aa.addarc(a)
            z.addarc(zz)
            while self.value == "|":
                self.gettoken()
                a, z = self.parse_alt()
                aa.addarc(a)
                z.addarc(zz)
            return aa, zz

    def parse_alt(self) -> Tuple["NFAState", "NFAState"]:
        # ALT: ITEM+
        a, b = self.parse_item()
        while self.value in ("(", "[") or self.type in (token.NAME, token.STRING):
            c, d = self.parse_item()
            b.addarc(c)
            b = d
        return a, b

    def parse_item(self) -> Tuple["NFAState", "NFAState"]:
        # ITEM: '[' RHS ']' | ATOM ['+' | '*']
        if self.value == "[":
            self.gettoken()
            a, z = self.parse_rhs()
            self.expect(token.OP, "]")
            a.addarc(z)
            return a, z
        else:
            a, z = self.parse_atom()
            value = self.value
            if value not in ("+", "*"):
                return a, z
            self.gettoken()
            z.addarc(a)
            if value == "+":
                return a, z
            else:
                return a, a

    def parse_atom(self) -> Tuple["NFAState", "NFAState"]:
        # ATOM: '(' RHS ')' | NAME | STRING
        if self.value == "(":
            self.gettoken()
            a, z = self.parse_rhs()
            self.expect(token.OP, ")")
            return a, z
        elif self.type in (token.NAME, token.STRING):
            a = NFAState()
            z = NFAState()
            a.addarc(z, self.value)
            self.gettoken()
            return a, z
        else:
            self.raise_error(
                "expected (...) or NAME or STRING, got %s/%s", self.type, self.value
            )
            assert False

    def expect(self, type: int, value: Optional[Any] = None) -> str:
        if self.type != type or (value is not None and self.value != value):
            self.raise_error(
                "expected %s/%s, got %s/%s", type, value, self.type, self.value
            )
        value = self.value
        self.gettoken()
        return value

    def gettoken(self) -> None:
        tup = next(self.generator)
        while tup[0] in (tokenize.COMMENT, tokenize.NL):
            tup = next(self.generator)
        self.type, self.value, self.begin, self.end, self.line = tup
        # print token.tok_name[self.type], repr(self.value)

    def raise_error(self, msg: str, *args: Any) -> NoReturn:
        if args:
            try:
                msg = msg % args
            except:
                msg = " ".join([msg] + list(map(str, args)))
        raise SyntaxError(msg, (self.filename, self.end[0], self.end[1], self.line))


class NFAState:
    arcs: List[Tuple[Optional[str], "NFAState"]]

    def __init__(self) -> None:
        self.arcs = []  # list of (label, NFAState) pairs

    def addarc(self, next: "NFAState", label: Optional[str] = None) -> None:
        assert label is None or isinstance(label, str)
        assert isinstance(next, NFAState)
        self.arcs.append((label, next))


class DFAState:
    nfaset: Dict[NFAState, Any]
    isfinal: bool
    arcs: Dict[str, "DFAState"]

    def __init__(self, nfaset: Dict[NFAState, Any], final: NFAState) -> None:
        assert isinstance(nfaset, dict)
        assert isinstance(next(iter(nfaset)), NFAState)
        assert isinstance(final, NFAState)
        self.nfaset = nfaset
        self.isfinal = final in nfaset
        self.arcs = {}  # map from label to DFAState

    def addarc(self, next: "DFAState", label: str) -> None:
        assert isinstance(label, str)
        assert label not in self.arcs
        assert isinstance(next, DFAState)
        self.arcs[label] = next

    def unifystate(self, old: "DFAState", new: "DFAState") -> None:
        for label, next in self.arcs.items():
            if next is old:
                self.arcs[label] = new

    def __eq__(self, other: Any) -> bool:
        # Equality test -- ignore the nfaset instance variable
        assert isinstance(other, DFAState)
        if self.isfinal != other.isfinal:
            return False
        # Can't just return self.arcs == other.arcs, because that
        # would invoke this method recursively, with cycles...
        if len(self.arcs) != len(other.arcs):
            return False
        for label, next in self.arcs.items():
            if next is not other.arcs.get(label):
                return False
        return True

    __hash__: Any = None  # For Py3 compatibility.


def generate_grammar(filename: Path = "Grammar.txt") -> PgenGrammar:
    p = ParserGenerator(filename)
    return p.make_grammar()