Python sys.argv方法代碼示例

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def weather_icons():
    try:

        if argv[1] == 'loop':

            loop()

        elif argv[1] in os.listdir(folder_path):

            print('Drawing Image: {}'.format(argv[1]))

            img = Image.open(folder_path + argv[1])

            draw_animation(img)
            unicorn.off()

        else:
            help()

    except IndexError:
        help() 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def __init__(self, model_nm, logfile=None, props=None,
                 loglevel=logging.INFO):
        self.model_nm = model_nm
        self.graph = nx.Graph()
        if props is None:
            self.props = {}
        else:
            self.props = props
            logfile = self.get("log_fname")
        self.logger = Logger(self, model_name=model_nm,logfile=logfile)
        self.graph.add_edge(self, self.logger)
        self["OS"] = platform.system()
        self["model"] = model_nm
        # process command line args and set them as properties:
        prop_nm = None
        for arg in sys.argv:
            # the first arg (-prop) names the property
            if arg.startswith(SWITCH):
                prop_nm = arg.lstrip(SWITCH)
            # the second arg is the property value
            elif prop_nm is not None:
                self[prop_nm] = arg
                prop_nm = None 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def __init__(self, defaults, args):
        script_name = os.path.splitext(os.path.basename(sys.argv[0]))[0]
        self.defaults = defaults
        self.dir = self.__find_config_dir(script_name)
        self.parser = self.__init_configparser(script_name)
        global DEBUG
        DEBUG = self.parser.getboolean('debug', DEBUG) or args.debug
        global VERBOSE
        VERBOSE = self.parser.getboolean('verbose', VERBOSE) or args.verbose
        global VERIFY_SSL
        VERIFY_SSL = self.parser.getboolean('verify_ssl', VERIFY_SSL)
        global UNICODE
        UNICODE = self.parser.getboolean('unicode', UNICODE)
        if DEBUG:
            # Turn on some extras
            global SAVE_PLAYLIST_FILE
            SAVE_PLAYLIST_FILE = True 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def main():
    env = os.environ.copy()

    # in case the PYTHONHASHSEED was not set, set to 0 to denote
    # that hash randomization should be disabled and
    # restart python for the changes to take effect
    if 'PYTHONHASHSEED' not in env:
        env['PYTHONHASHSEED'] = "0"
        proc = subprocess.Popen([sys.executable] + sys.argv,
                                env=env)
        proc.communicate()
        exit(proc.returncode)

    # check if hash has been properly de-randomized in python 3
    # by comparing hash of magic tuple
    h = hash(eden.__magic__)
    assert h == eden.__magic_py2hash__ or h == eden.__magic_py3hash__, 'Unexpected hash value: "{}". Please check if python 3 hash normalization is disabled by setting shell variable PYTHONHASHSEED=0.'.format(h)

    # run program and exit
    print("This is the magic python hash restart script.")
    exit(0) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def ensure_lambda_helper():
    awslambda = getattr(clients, "lambda")
    try:
        helper_desc = awslambda.get_function(FunctionName="aegea-dev-process_batch_event")
        logger.info("Using Batch helper Lambda %s", helper_desc["Configuration"]["FunctionArn"])
    except awslambda.exceptions.ResourceNotFoundException:
        logger.info("Batch helper Lambda not found, installing")
        import chalice.cli
        orig_argv = sys.argv
        orig_wd = os.getcwd()
        try:
            os.chdir(os.path.join(os.path.dirname(__file__), "batch_events_lambda"))
            sys.argv = ["chalice", "deploy", "--no-autogen-policy"]
            chalice.cli.main()
        except SystemExit:
            pass
        finally:
            os.chdir(orig_wd)
            sys.argv = orig_argv 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def main(wf):
    query = sys.argv[1]
    baseUrl = os.getenv('baseUrl')
    url = baseUrl + 'user?keyword=' + query
    try:
        result = web.get(url=url)
        result.raise_for_status()
        resp = result.text
        userList = json.loads(resp)
        if len(userList) > 0:
            for item in userList:
                title = item['title']
                subtitle = item['subTitle']
                icon = item['icon']
                userId = item['userId']
                copyText = item['copyText']
                qlurl = item['url']
                wf.add_item(title=title, subtitle=subtitle, icon=icon, largetext=title, copytext=copyText, quicklookurl=qlurl, arg=userId, valid=True)
        else:
            wf.add_item(title='找不到聯係人…',subtitle='請重新輸入')
    except IOError:
        wf.add_item(title='請先啟動微信 & 登錄…',subtitle='並確保安裝微信小助手')

    wf.send_feedback() 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Re-evaluate results')
  parser.add_argument('output_dir', nargs=1, help='results directory',
                      type=str)
  parser.add_argument('--imdb', dest='imdb_name',
                      help='dataset to re-evaluate',
                      default='voc_2007_test', type=str)
  parser.add_argument('--matlab', dest='matlab_eval',
                      help='use matlab for evaluation',
                      action='store_true')
  parser.add_argument('--comp', dest='comp_mode', help='competition mode',
                      action='store_true')
  parser.add_argument('--nms', dest='apply_nms', help='apply nms',
                      action='store_true')

  if len(sys.argv) == 1:
    parser.print_help()
    sys.exit(1)

  args = parser.parse_args()
  return args 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Re-evaluate results')
  parser.add_argument('output_dir', nargs=1, help='results directory',
                      type=str)
  parser.add_argument('--imdb', dest='imdb_name',
                      help='dataset to re-evaluate',
                      default='voc_2007_test', type=str)
  parser.add_argument('--comp', dest='comp_mode', help='competition mode',
                      action='store_true')

  if len(sys.argv) == 1:
    parser.print_help()
    sys.exit(1)

  args = parser.parse_args()
  return args 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def main (argv):
    global host, hosts, tests
    
    if len(argv) == 3:      # tnode.py torch.cfg hostname
        cfile = argv[1]
        host = argv[2]
    else:
        print 'usage: tnode torch.cfg hostname'
        exit()
    
    try:
        config = tlib.parser(cfile)
        hosts = config.hosts
        bgprouters = config.bgprouters
    except Exception, e:
        print 'Bad configuration: ' + repr(e)
        exit() 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def shutdown():
    if lp_events.timer != None:
        lp_events.timer.cancel()
    scripts.to_run = []
    for x in range(9):
        for y in range(9):
            if scripts.threads[x][y] != None:
                scripts.threads[x][y].kill.set()
    if window.lp_connected:
        scripts.unbind_all()
        lp_events.timer.cancel()
        launchpad_connector.disconnect(lp)
        window.lp_connected = False
    logger.stop()
    if window.restart:
        if IS_EXE:
            os.startfile(sys.argv[0])
        else:
            os.execv(sys.executable, ["\"" + sys.executable + "\""] + sys.argv)
    sys.exit("[LPHK] Shutting down...") 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def parse_options():
    """
    parse command line options
    """
    parser = argparse.ArgumentParser()

    helptext="Root path of input run for which metadata should be created, should contain metadata.tsv and genome_to_id.tsv"
    parser.add_argument("-i", "--input-run", type=str, help=helptext)

    helptext="output file to write metadata to"
    parser.add_argument("-o", "--output", type=str, help=helptext)
    
    helptext="Name of the data set"
    parser.add_argument("-n", "--name", type=str, help=helptext)

    if not len(sys.argv) > 1:
        parser.print_help()
        return None
    args = parser.parse_args()

    return args 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def main(argv):
    """ Spleeter runner. Parse provided command line arguments
    and run entrypoint for required command (either train,
    evaluate or separate).

    :param argv: Provided command line arguments.
    """
    try:
        parser = create_argument_parser()
        arguments = parser.parse_args(argv[1:])
        enable_logging()
        if arguments.verbose:
            enable_tensorflow_logging()
        if arguments.command == 'separate':
            from .commands.separate import entrypoint
        elif arguments.command == 'train':
            from .commands.train import entrypoint
        elif arguments.command == 'evaluate':
            from .commands.evaluate import entrypoint
        params = load_configuration(arguments.configuration)
        entrypoint(arguments, params)
    except SpleeterError as e:
        get_logger().error(e) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def main():
    global output_file
    num_args = len(sys.argv)
    if num_args < 3:
        print("usage: %s <json-file-1> [json-file-2 ...] <output-csv-file>" % sys.argv[0], file=sys.stderr)
        exit(1)

    json_files = sys.argv[1:num_args - 1]
    output_file = sys.argv[num_args - 1]

    merged_json_data = {}
    for json_file in json_files:
        print("> reading JSON file '%s'..." % json_file)
        with open(json_file) as f:
            json_data = json.load(f)
            for label, data in json_data.items():
                if label not in merged_json_data:
                    merged_json_data[label] = data
                else:
                    merged_json_data[label]['data'].extend(data['data'])

    # pprint(merged_json_data)
    analyse(merged_json_data) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def read_props(model_nm):
    """
    A prop file to read must be our first arg, if it exists.
    """
    if len(sys.argv) > 1:
        poss_props = sys.argv[1]
        if not poss_props.startswith('-'):  # not a property but a prop file
            return prop_args.read_props(model_nm, poss_props)

    return None 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import argv [as 別名]
def main(args=None):
    """The main routine."""
    if args is None:
        args = sys.argv[1:]

    print("The modules containing models are: ")
    for num, module in modules.items():
        print(str(num) + ". " + module[MODULE_NAME])
    choice = int(
                input("Enter module number to view avialable models: "))
    modules[choice][MODULE_MAIN]()