mirror of https://github.com/python/cpython
195 lines
5.9 KiB
Python
Executable File
195 lines
5.9 KiB
Python
Executable File
#!/usr/bin/env python3.8
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"""pegen -- PEG Generator.
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Search the web for PEG Parsers for reference.
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"""
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import argparse
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import sys
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import time
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import token
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import traceback
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from typing import Tuple
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from pegen.grammar import Grammar
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from pegen.parser import Parser
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from pegen.parser_generator import ParserGenerator
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from pegen.tokenizer import Tokenizer
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from pegen.validator import validate_grammar
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def generate_c_code(
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args: argparse.Namespace,
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) -> Tuple[Grammar, Parser, Tokenizer, ParserGenerator]:
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from pegen.build import build_c_parser_and_generator
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verbose = args.verbose
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verbose_tokenizer = verbose >= 3
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verbose_parser = verbose == 2 or verbose >= 4
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try:
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grammar, parser, tokenizer, gen = build_c_parser_and_generator(
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args.grammar_filename,
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args.tokens_filename,
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args.output,
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args.compile_extension,
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verbose_tokenizer,
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verbose_parser,
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args.verbose,
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keep_asserts_in_extension=False if args.optimized else True,
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skip_actions=args.skip_actions,
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)
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return grammar, parser, tokenizer, gen
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except Exception as err:
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if args.verbose:
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raise # Show traceback
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traceback.print_exception(err.__class__, err, None)
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sys.stderr.write("For full traceback, use -v\n")
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sys.exit(1)
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def generate_python_code(
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args: argparse.Namespace,
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) -> Tuple[Grammar, Parser, Tokenizer, ParserGenerator]:
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from pegen.build import build_python_parser_and_generator
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verbose = args.verbose
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verbose_tokenizer = verbose >= 3
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verbose_parser = verbose == 2 or verbose >= 4
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try:
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grammar, parser, tokenizer, gen = build_python_parser_and_generator(
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args.grammar_filename,
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args.output,
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verbose_tokenizer,
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verbose_parser,
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skip_actions=args.skip_actions,
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)
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return grammar, parser, tokenizer, gen
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except Exception as err:
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if args.verbose:
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raise # Show traceback
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traceback.print_exception(err.__class__, err, None)
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sys.stderr.write("For full traceback, use -v\n")
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sys.exit(1)
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argparser = argparse.ArgumentParser(
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prog="pegen", description="Experimental PEG-like parser generator"
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)
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argparser.add_argument("-q", "--quiet", action="store_true", help="Don't print the parsed grammar")
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argparser.add_argument(
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"-v",
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"--verbose",
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action="count",
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default=0,
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help="Print timing stats; repeat for more debug output",
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)
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subparsers = argparser.add_subparsers(help="target language for the generated code")
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c_parser = subparsers.add_parser("c", help="Generate C code for inclusion into CPython")
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c_parser.set_defaults(func=generate_c_code)
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c_parser.add_argument("grammar_filename", help="Grammar description")
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c_parser.add_argument("tokens_filename", help="Tokens description")
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c_parser.add_argument(
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"-o", "--output", metavar="OUT", default="parse.c", help="Where to write the generated parser"
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)
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c_parser.add_argument(
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"--compile-extension",
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action="store_true",
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help="Compile generated C code into an extension module",
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)
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c_parser.add_argument(
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"--optimized", action="store_true", help="Compile the extension in optimized mode"
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)
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c_parser.add_argument(
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"--skip-actions",
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action="store_true",
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help="Suppress code emission for rule actions",
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)
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python_parser = subparsers.add_parser(
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"python",
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help="Generate Python code, needs grammar definition with Python actions",
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)
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python_parser.set_defaults(func=generate_python_code)
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python_parser.add_argument("grammar_filename", help="Grammar description")
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python_parser.add_argument(
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"-o",
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"--output",
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metavar="OUT",
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default="parse.py",
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help="Where to write the generated parser",
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)
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python_parser.add_argument(
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"--skip-actions",
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action="store_true",
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help="Suppress code emission for rule actions",
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)
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def main() -> None:
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from pegen.testutil import print_memstats
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args = argparser.parse_args()
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if "func" not in args:
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argparser.error("Must specify the target language mode ('c' or 'python')")
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t0 = time.time()
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grammar, parser, tokenizer, gen = args.func(args)
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t1 = time.time()
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validate_grammar(grammar)
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if not args.quiet:
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if args.verbose:
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print("Raw Grammar:")
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for line in repr(grammar).splitlines():
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print(" ", line)
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print("Clean Grammar:")
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for line in str(grammar).splitlines():
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print(" ", line)
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if args.verbose:
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print("First Graph:")
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for src, dsts in gen.first_graph.items():
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print(f" {src} -> {', '.join(dsts)}")
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print("First SCCS:")
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for scc in gen.first_sccs:
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print(" ", scc, end="")
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if len(scc) > 1:
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print(
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" # Indirectly left-recursive; leaders:",
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{name for name in scc if grammar.rules[name].leader},
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)
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else:
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name = next(iter(scc))
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if name in gen.first_graph[name]:
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print(" # Left-recursive")
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else:
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print()
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if args.verbose:
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dt = t1 - t0
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diag = tokenizer.diagnose()
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nlines = diag.end[0]
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if diag.type == token.ENDMARKER:
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nlines -= 1
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print(f"Total time: {dt:.3f} sec; {nlines} lines", end="")
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if dt:
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print(f"; {nlines / dt:.0f} lines/sec")
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else:
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print()
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print("Caches sizes:")
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print(f" token array : {len(tokenizer._tokens):10}")
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print(f" cache : {len(parser._cache):10}")
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if not print_memstats():
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print("(Can't find psutil; install it for memory stats.)")
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if __name__ == "__main__":
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if sys.version_info < (3, 8):
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print("ERROR: using pegen requires at least Python 3.8!", file=sys.stderr)
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sys.exit(1)
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main()
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