def main():
if Daemonize is None:
raise ImportError(REQUIRES_DAEMONIZE_MESSAGE)
arg_parser = ArgumentParser(description=DESCRIPTION)
GalaxyConfigBuilder.populate_options(arg_parser)
args = arg_parser.parse_args()
if args.log_file:
os.environ["GALAXY_CONFIG_LOG_DESTINATION"] = os.path.abspath(
args.log_file)
if args.server_name:
os.environ["GALAXY_CONFIG_SERVER_NAME"] = args.server_name
pid_file = args.pid_file
log.setLevel(logging.DEBUG)
log.propagate = False
if args.daemonize:
keep_fds = []
if args.daemon_log_file:
fh = logging.FileHandler(args.daemon_log_file, "w")
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
keep_fds.append(fh.stream.fileno())
else:
fh = logging.StreamHandler(sys.stderr)
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
daemon = Daemonize(
app="galaxy",
pid=pid_file,
action=functools.partial(app_loop, args, log),
verbose=DEFAULT_VERBOSE,
logger=log,
keep_fds=keep_fds,
)
daemon.start()
else:
app_loop(args, log)
def main(argv=None):
if argv is None:
argv = sys.argv
arg_parser = ArgumentParser(description=DESCRIPTION)
PulsarConfigBuilder.populate_options(arg_parser)
args = arg_parser.parse_args(argv)
pid_file = args.pid_file
log.setLevel(logging.DEBUG)
log.propagate = False
if args.daemonize:
if Daemonize is None:
raise ImportError(REQUIRES_DAEMONIZE_MESSAGE)
keep_fds = []
if args.daemon_log_file:
fh = logging.FileHandler(args.daemon_log_file, "w")
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
keep_fds.append(fh.stream.fileno())
else:
fh = logging.StreamHandler(sys.stderr)
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
daemon = Daemonize(
app="pulsar",
pid=pid_file,
action=functools.partial(app_loop, args, log),
verbose=DEFAULT_VERBOSE,
logger=log,
keep_fds=keep_fds,
)
daemon.start()
else:
app_loop(args, log)
def main(argv=None):
if argv is None:
argv = sys.argv
arg_parser = ArgumentParser(description=DESCRIPTION)
PulsarConfigBuilder.populate_options(arg_parser)
args = arg_parser.parse_args(argv)
pid_file = args.pid_file
log.setLevel(logging.DEBUG)
log.propagate = False
if args.daemonize:
if Daemonize is None:
raise ImportError(REQUIRES_DAEMONIZE_MESSAGE)
keep_fds = []
if args.daemon_log_file:
fh = logging.FileHandler(args.daemon_log_file, "w")
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
keep_fds.append(fh.stream.fileno())
else:
fh = logging.StreamHandler(sys.stderr)
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
daemon = Daemonize(
app="pulsar",
pid=pid_file,
action=functools.partial(app_loop, args, log),
verbose=DEFAULT_VERBOSE,
logger=log,
keep_fds=keep_fds,
)
daemon.start()
else:
app_loop(args, log)
def main():
if Daemonize is None:
raise ImportError("Attempted to use LWR in daemon mode, but daemonize is unavailable.")
arg_parser = ArgumentParser(description=DESCRIPTION)
LwrConfigBuilder.populate_options(arg_parser)
args = arg_parser.parse_args()
log.setLevel(logging.DEBUG)
log.propagate = False
fh = logging.FileHandler("daemon.log", "w")
fh.setLevel(logging.DEBUG)
log.addHandler(fh)
keep_fds = [fh.stream.fileno()]
daemon = Daemonize(
app="lwr",
pid=DEFAULT_PID,
action=functools.partial(app_loop, args),
verbose=DEFAULT_VERBOSE,
keep_fds=keep_fds,
)
daemon.start()
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import jv
from argparser import ArgumentParser
from numpy import exp, sqrt
parser = ArgumentParser()
parser.add_argument("--Er", type=str, help="complex relative permitivity")
args = parser.parse_args()
Er = np.complex(args.Er)
x_axis = np.arange(0, 1000, 0.01)
for size in x_axis:
rho = size*sqrt(Er)
alpha01n = rho*
# **************************************************************************** # # # # :::::::: # # ft_turing.py :+: :+: # # +:+ # # By: mgross <*****@*****.**> +#+ # # +#+ # # Created: 2019/10/21 11:19:45 by mgross #+# #+# # # Updated: 2019/10/27 18:52:02 by Marvin ######## odam.nl # # # # **************************************************************************** # from TuringMachine import TuringMachine from argparser import ArgumentParser if __name__ == '__main__': args = ArgumentParser() turing_machine = TuringMachine(args) turing_machine.print_machine_config() turing_machine.run()
