cpython/Parser/pgen/grammar.py
tyomitch 1b304f992d Remove d_initial from the parser as it is unused (GH-12212)
d_initial, the first state of a particular DFA in the parser has always been initialized to 0 in the old pgen as well as the new pgen. As this value is not used and the first state of each DFA is assumed to be the first element in the array representing it, remove d_initial from the parser to reduce complexity.
2019-03-09 15:35:50 +00:00

146 lines
5.5 KiB
Python

import collections
class Grammar:
"""Pgen parsing tables class.
The instance variables are as follows:
symbol2number -- a dict mapping symbol names to numbers. Symbol
numbers are always 256 or higher, to distinguish
them from token numbers, which are between 0 and
255 (inclusive).
number2symbol -- a dict mapping numbers to symbol names;
these two are each other's inverse.
states -- a list of DFAs, where each DFA is a list of
states, each state is a list of arcs, and each
arc is a (i, j) pair where i is a label and j is
a state number. The DFA number is the index into
this list. (This name is slightly confusing.)
Final states are represented by a special arc of
the form (0, j) where j is its own state number.
dfas -- a dict mapping symbol numbers to (DFA, first)
pairs, where DFA is an item from the states list
above, and first is a set of tokens that can
begin this grammar rule.
labels -- a list of (x, y) pairs where x is either a token
number or a symbol number, and y is either None
or a string; the strings are keywords. The label
number is the index in this list; label numbers
are used to mark state transitions (arcs) in the
DFAs.
start -- the number of the grammar's start symbol.
keywords -- a dict mapping keyword strings to arc labels.
tokens -- a dict mapping token numbers to arc labels.
"""
def __init__(self):
self.symbol2number = collections.OrderedDict()
self.number2symbol = collections.OrderedDict()
self.states = []
self.dfas = collections.OrderedDict()
self.labels = [(0, "EMPTY")]
self.keywords = collections.OrderedDict()
self.tokens = collections.OrderedDict()
self.symbol2label = collections.OrderedDict()
self.start = 256
def produce_graminit_h(self, writer):
writer("/* Generated by Parser/pgen */\n\n")
for number, symbol in self.number2symbol.items():
writer("#define {} {}\n".format(symbol, number))
def produce_graminit_c(self, writer):
writer("/* Generated by Parser/pgen */\n\n")
writer('#include "pgenheaders.h"\n')
writer('#include "grammar.h"\n')
writer("grammar _PyParser_Grammar;\n")
self.print_dfas(writer)
self.print_labels(writer)
writer("grammar _PyParser_Grammar = {\n")
writer(" {n_dfas},\n".format(n_dfas=len(self.dfas)))
writer(" dfas,\n")
writer(" {{{n_labels}, labels}},\n".format(n_labels=len(self.labels)))
writer(" {start_number}\n".format(start_number=self.start))
writer("};\n")
def print_labels(self, writer):
writer(
"static label labels[{n_labels}] = {{\n".format(n_labels=len(self.labels))
)
for label, name in self.labels:
label_name = '"{}"'.format(name) if name is not None else 0
writer(
' {{{label}, {label_name}}},\n'.format(
label=label, label_name=label_name
)
)
writer("};\n")
def print_dfas(self, writer):
self.print_states(writer)
writer("static dfa dfas[{}] = {{\n".format(len(self.dfas)))
for dfaindex, dfa_elem in enumerate(self.dfas.items()):
symbol, (dfa, first_sets) = dfa_elem
writer(
' {{{dfa_symbol}, "{symbol_name}", '.format(
dfa_symbol=symbol, symbol_name=self.number2symbol[symbol]
)
+ "{n_states}, states_{dfa_index},\n".format(
n_states=len(dfa), dfa_index=dfaindex
)
+ ' "'
)
bitset = bytearray((len(self.labels) >> 3) + 1)
for token in first_sets:
bitset[token >> 3] |= 1 << (token & 7)
for byte in bitset:
writer("\\%03o" % (byte & 0xFF))
writer('"},\n')
writer("};\n")
def print_states(self, write):
for dfaindex, dfa in enumerate(self.states):
self.print_arcs(write, dfaindex, dfa)
write(
"static state states_{dfa_index}[{n_states}] = {{\n".format(
dfa_index=dfaindex, n_states=len(dfa)
)
)
for stateindex, state in enumerate(dfa):
narcs = len(state)
write(
" {{{n_arcs}, arcs_{dfa_index}_{state_index}}},\n".format(
n_arcs=narcs, dfa_index=dfaindex, state_index=stateindex
)
)
write("};\n")
def print_arcs(self, write, dfaindex, states):
for stateindex, state in enumerate(states):
narcs = len(state)
write(
"static arc arcs_{dfa_index}_{state_index}[{n_arcs}] = {{\n".format(
dfa_index=dfaindex, state_index=stateindex, n_arcs=narcs
)
)
for a, b in state:
write(
" {{{from_label}, {to_state}}},\n".format(
from_label=a, to_state=b
)
)
write("};\n")