def run_file(filename): settings.set_quiet(True) orig_level = settings.get_opt_level() settings.set_opt_level(0) prog = program.load(filename) assert prog.evaluate().result.succeeded() settings.set_opt_level(orig_level)
def run_file(filename): orig_quiet = settings.is_quiet() settings.set_quiet(True) prog = program.load(filename) assert prog.evaluate().result.succeeded() settings.set_quiet(orig_quiet)
def run_file(filename, expected_output): orig_quiet = settings.is_quiet() settings.set_quiet(True) f = io.StringIO() with redirect_stdout(f): prog = program.load(filename) assert prog.evaluate().result.succeeded() assert f.getvalue().strip() == expected_output.strip() settings.set_quiet(orig_quiet)
def main(): parser = argparse.ArgumentParser(description='An automated theorem prover for Büchi Automata') parser.add_argument('file', help='A Pecan file to execute', nargs='?') parser.add_argument('-i', '--interactive', help='Run Pecan in interactive mode (REPL)', required=False, action='store_true') parser.add_argument('-d', '--debug', help='Output debugging information', required=False, action='count') parser.add_argument('-q', '--quiet', help='Quiet mode', required=False, action='store_true') parser.add_argument('--no-opt', help='Turns off optimizations', required=False, action='store_true') parser.add_argument('--min-opt', help='Set optimizations to minimal levels (only boolean and arithmetic optimizations).', required=False, action='store_true') parser.add_argument('--no-stdlib', help='Turns off the default behavior of loading the standard library (from library/std.pn in your Pecan installation)', required=False, action='store_false') parser.add_argument('--generate', help='Enumerate true statements, argument is how many variables to use', type=int, required=False) parser.add_argument('--heuristics', help='Use heuristics to determine how to simplify automata. This flag is typically useful with large automata (>10000 states), and can cause worse performance with smaller automata.', required=False, action='store_true') parser.add_argument('--extract-implications', help='Alternate mode of running a program involving going through each theorem, extracting the top-level implication that needs to be checked (if applicable).', required=False, action='store_true') parser.add_argument('--use-var-map', help='Use the var_map from the specified file and convert the main file to use the same var map (i.e., the argument corresponding to <file>)', required=False, type=str) parser.add_argument('--stats', help='Write out statistics about each predicate defined and theorem tested (i.e., in save_aut and assert_prop)', required=False, action='store_true') parser.add_argument('--output-hoa', help='Outputs encountered Buchi automata into the file', required=False, type=str, dest="output_hoa", metavar="HOA_FILE") parser.add_argument('--output-json', help='Write the output in a JSON format of {"stdout": str, "files": array of strings} where the files array is the names of all the files generated by the Pecan program to standard output when Pecan exists. Useful for running headless on a server to gather the result files.', required=False, action='store_true') parser.add_argument('--no-progress', help='Disables all progress bars/indicators. Quiet mode implies this option is on. Should use if planning to pipe output to a file.', required=False, action='store_true') args = parser.parse_args() settings.set_quiet(args.quiet) settings.set_opt_level(0 if args.no_opt else 1) settings.set_load_stdlib(args.no_stdlib) settings.set_use_heuristics(args.heuristics) settings.set_min_opt(args.min_opt) settings.set_extract_implications(args.extract_implications) settings.set_write_statistics(args.stats) settings.set_output_hoa(args.output_hoa) settings.set_output_json(args.output_json) settings.set_show_progress(not args.no_progress) if args.debug is None: settings.set_debug_level(0) else: settings.set_debug_level(args.debug) if args.use_var_map is not None: if args.file is None: print('If --use-var-map is specified, you must also specify <file>!') exit(1) from pecan.tools.hoa_loader import load_hoa use_var_map_aut = load_hoa(args.use_var_map) main_file_aut = load_hoa(args.file) ap_subs = {} for v, aps in use_var_map_aut.get_var_map().items(): for main_ap, new_ap in zip(main_file_aut.get_var_map().get(v, []), aps): ap_subs[main_ap] = new_ap s = main_file_aut.aut.to_str('hoa') for a,b in ap_subs.items(): s = s.replace(a, b) print(s) # print(ap_subs) # main_file_aut = main_file_aut.ap_substitute(ap_subs) # print(main_file_aut.to_str()) return env = None prog = None if args.generate is not None: for pred in theorem_generator.gen_thms(args.generate): print(pred) elif args.file is not None: try: prog = program.load(args.file) if not settings.get_extract_implications(): env = prog.evaluate() except UnexpectedToken as e: print(e) return None elif not args.interactive: parser.print_help() if args.interactive: if env is None: prog = program.from_source('') env = prog.evaluate() prog = run_repl(env) if settings.get_output_json(): if prog is not None: print(json.dumps({'output': settings.get_output(), 'files': prog.get_generated_files()})) else: print(json.dumps({'output': '', 'files': []}))
def main(): parser = argparse.ArgumentParser( description='An automated theorem prover for Büchi Automata') parser.add_argument('file', help='A Pecan file to execute', nargs='?') parser.add_argument('-i', '--interactive', help='Run Pecan in interactive mode (REPL)', required=False, action='store_true') parser.add_argument('-d', '--debug', help='Output debugging information', required=False, action='count') parser.add_argument('-q', '--quiet', help='Quiet mode', required=False, action='store_true') parser.add_argument('--no-opt', help='Turns off optimizations', required=False, action='store_true') parser.add_argument( '--no-stdlib', help= 'Turns off the default behavior of loading the standard library (from library/std.pn in your Pecan installation)', required=False, action='store_false') parser.add_argument( '--generate', help='Enumerate true statements, argument is how many variables to use', type=int, required=False) args = parser.parse_args() if args.debug is None: settings.set_debug_level(0) else: settings.set_debug_level(args.debug) settings.set_quiet(args.quiet) settings.set_opt_level(0 if args.no_opt else 1) settings.set_load_stdlib(args.no_stdlib) env = None if args.generate is not None: for pred in theorem_generator.gen_thms(args.generate): print(pred) elif args.file is not None: try: prog = program.load(args.file) env = prog.evaluate() except UnexpectedToken as e: print(e) return None elif not args.interactive: parser.print_help() if args.interactive: if env is None: prog = program.from_source('') env = prog.evaluate() run_repl(env)