Ejemplo n.º 1
0
def generate_main(data_dir, extra_flags=None):
    generate_parser = options.get_generation_parser()
    generate_args = options.parse_args_and_arch(
        generate_parser,
        [
            data_dir,
            '--path', os.path.join(data_dir, 'checkpoint_last.pt'),
            '--beam', '3',
            '--batch-size', '64',
            '--max-len-b', '5',
            '--gen-subset', 'valid',
            '--no-progress-bar',
            '--print-alignment',
        ] + (extra_flags or []),
    )

    # evaluate model in batch mode
    generate.main(generate_args)

    # evaluate model interactively
    generate_args.buffer_size = 0
    generate_args.max_sentences = None
    orig_stdin = sys.stdin
    sys.stdin = StringIO('h e l l o\n')
    interactive.main(generate_args)
    sys.stdin = orig_stdin
Ejemplo n.º 2
0
def generate_main(data_dir, extra_flags=None):
    generate_parser = options.get_generation_parser()
    generate_args = options.parse_args_and_arch(
        generate_parser,
        [
            data_dir,
            '--path',
            os.path.join(data_dir, 'checkpoint_last.pt'),
            '--beam',
            '3',
            '--batch-size',
            '64',
            '--max-len-b',
            '5',
            '--gen-subset',
            'valid',
            '--no-progress-bar',
            '--print-alignment',
        ] + (extra_flags or []),
    )

    # evaluate model in batch mode
    generate.main(generate_args)

    # evaluate model interactively
    generate_args.buffer_size = 0
    generate_args.input = '-'
    generate_args.max_sentences = None
    orig_stdin = sys.stdin
    sys.stdin = StringIO('h e l l o\n')
    interactive.main(generate_args)
    sys.stdin = orig_stdin
Ejemplo n.º 3
0
def generate_main(data_dir, extra_flags=None):
    if extra_flags is None:
        extra_flags = [
            "--print-alignment",
        ]
    generate_parser = options.get_generation_parser()
    generate_args = options.parse_args_and_arch(
        generate_parser,
        [
            data_dir,
            "--path",
            os.path.join(data_dir, "checkpoint_last.pt"),
            "--beam",
            "3",
            "--batch-size",
            "64",
            "--max-len-b",
            "5",
            "--gen-subset",
            "valid",
            "--no-progress-bar",
        ] + (extra_flags or []),
    )

    # evaluate model in batch mode
    generate.main(generate_args)

    # evaluate model interactively
    generate_args.buffer_size = 0
    generate_args.input = "-"
    generate_args.max_sentences = None
    orig_stdin = sys.stdin
    sys.stdin = StringIO("h e l l o\n")
    interactive.main(generate_args)
    sys.stdin = orig_stdin
Ejemplo n.º 4
0
 def runCommand(self, str):
     sys.stdout = io.StringIO()
     sys.stdin = io.StringIO(str + '\n')
     interactive.main()
     allstr = sys.stdout.getvalue()
     prompt = interactive.prompt
     length = len(prompt)
     assert len(allstr) >= length * 2
     assert allstr.startswith(self.prompt)
     assert allstr.endswith(self.prompt)
     return allstr[length:-length]
    def generate(self, data_dir):
        generate_parser = options.get_generation_parser()
        generate_args = generate_parser.parse_args([
            data_dir,
            '--path', os.path.join(data_dir, 'checkpoint_best.pt'),
            '--beam', '5',
            '--batch-size', '32',
            '--gen-subset', 'valid',
            '--no-progress-bar',
        ])

        # evaluate model in batch mode
        generate.main(generate_args)

        # evaluate model interactively
        orig_stdin = sys.stdin
        sys.stdin = StringIO('h e l l o\n')
        interactive.main(generate_args)
        sys.stdin = orig_stdin
Ejemplo n.º 6
0
 def raw_run(args):
     from interactive import main
     return main(['<fundy-test>'] + args)
Ejemplo n.º 7
0
def main():
    parser = argparse.ArgumentParser()

    parser.add_argument('-i',
                        '--interactive',
                        help="launch an interactive session in pygame",
                        action="store_true")

    parser.add_argument(
        "-x",
        help="number of pixels in x of the picture (-1 : default)",
        type=int,
        default=-1)
    parser.add_argument(
        "-y",
        help="number of pixels in y of the picture (-1 : default)",
        type=int,
        default=-1)
    parser.add_argument(
        "-n",
        help="number of iteration to determine if the series is divergent",
        type=int,
        default=400)

    parser.add_argument('--no-color',
                        help="Picture in black and white only",
                        action="store_true")

    parser.add_argument("-s",
                        "--show",
                        help="Show the computed image",
                        action="store_true")
    parser.add_argument(
        "-f",
        "--files",
        help="name of the files where you want to store the picture",
        action="append",
        default=[])

    args = parser.parse_args()
    if not args.interactive:
        if args.x == -1:
            args.x = 1000
        if args.y == -1:
            args.y = 1000
        if not args.files and not args.show:
            parser.error(
                "If you're not in interactive mode, you don't want to see the picture, and you don't save it to a file, why are you running this program ?"
            )
        image = make_img((args.x, args.y), args.n, no_color=args.no_color)
        for file in args.files:
            image.save(file)
        if args.show:
            image.show()
    else:
        if args.x == -1:
            args.x = 500
        if args.y == -1:
            args.y = 500

        import interactive
        interactive.main(args.x, args.y, args.n, args.no_color)
Ejemplo n.º 8
0
import interactive

print 'Hello world!'

interactive.main()
Ejemplo n.º 9
0
 def testChengePrompt(self):
     sys.stdin = io.StringIO()
     prompt_str = '(test) '
     interactive.prompt = prompt_str
     interactive.main()
     self.assertEqual(sys.stdout.getvalue(), prompt_str)