ipy -m ironstubs RhinoCommon --overwrite
Options:
<assembly-name> Name of Dll Assembly to load
--all Process all Assemblies in the default_settings.py
--folder=<dir> Name of Output Directory [default: {out_dir}]
--directory=<dir> Additional Directory to add to Path [default: ]
--overwrite Force Overwrite if stub already exists [default: False].
--no-json Disables Json Log
--debug Enables Debug Messages
-h, --help Show this screen.
""".format(out_dir='stubs', version=__version__)
arguments = docopt(__doc__, version=__version__)
# OPTIONS
option_assembly_name = arguments['<assembly-name>']
option_all = arguments['--all']
option_output_dir = arguments['--folder']
option_overwrite = arguments['--overwrite']
option_json = not arguments['--no-json']
option_directory = arguments['--directory']
if arguments['--debug']:
logger.enable_debug()
# PROJECT_DIR = os.getcwd() # Must execute from project dir
PKG_DIR = os.path.dirname(__file__)
PROJECT_DIR = os.path.dirname(PKG_DIR)
Usage:
stem.py <StemmerID> <InputFile> <OutputFile>
stem.py -h | --help
stem.py --version
Options:
-h --help Show this screen.
--version Show version.
"""
from utils.docopt import docopt
if __name__ == '__main__':
arguments = docopt(__doc__, version="1.0.0")
from subprocess import call
import urllib, os, platform
# Parse command line arguments
stemmerID = arguments["<StemmerID>"]
inputFile = arguments["<InputFile>"]
outputFile = arguments["<OutputFile>"]
is_windows = True if platform.system() == "Windows" else False
command = "java -jar SCStemmers.jar".split()
# Check if SCStemmers.jar is in the current directory
if (not os.path.isfile("SCStemmers.jar")):
print("Downloading SCStemmers.jar...")
from keras.callbacks import EarlyStopping, ModelCheckpoint, CSVLogger, Callback
from utils.global_config import __DEF_HEIGHT, __DEF_WIDTH, __CHANNEL
from utils.metrics_functions import dice_coef, dice_coef_loss
from utils.models import get_encoder_decoder, build_refinement
from utils.data_generator import generator_batch
from keras.optimizers import Adam
from keras import backend as K
from utils.docopt import docopt
import tensorflow as tf
import os.path as P
import numpy as np
import keras
import glob
import cv2
arguments = docopt(__doc__, version='FIXME')
print(arguments)
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
config.gpu_options.per_process_gpu_memory_fraction = float(arguments['--gpu'])
sess = tf.Session(config=config)
try:
K.set_session(sess)
except:
pass
train_steps = int(arguments['--train-steps'])
valid_steps = int(arguments['--valid-steps'])
train_samples = arguments['--train-samples']
valid_samples = arguments['--valid-samples']
bs = int(arguments['--bs'])
--dist=<> Distance name. Valid are {L1,L2} [default: L2]
--delimiter=<> Delimiter used in the csv files [default: ,]
--pcapl=<> Compute results for pca-power law descr [default: no]
For more visit: https://github.com/hpatches/
"""
from utils.hpatch import *
from utils.tasks import *
from utils.misc import *
from utils.docopt import docopt
import os
import time
import dill
if __name__ == '__main__':
opts = docopt(__doc__, version='HPatches 1.0')
path = os.path.join(opts['--descr-dir'], opts['--descr-name'])
try:
assert os.path.exists(path)
except:
print("%r does not exist." % (path))
exit(0)
if not os.path.exists('results'):
os.makedirs('results')
descr_name = opts['--descr-name']
print('\n>> Running HPatch evaluation for %s' % blue(descr_name))
descr = load_descrs(path, dist=opts['--dist'], sep=opts['--delimiter'])
Usage:
main.py [-l | -s] [(-o <path>)]
Options:
-h, --help Show this help
-l, -large Use large pool of words to guess
-s, -small Use small pool of words to guess
-o <path> Open external file as a pool of words: not implemented yet
Pikabou!
"""
# enjoy ))))
import utils.game_docopt as hangman
from utils.docopt import docopt
doc = '''
Usage:
my_program tcp <host> <port> [--timeout=<seconds>]
my_program serial <port> [--baud=<n>] [--timeout=<seconds>]
my_program (-h | --help | --version)
Options:
-h, --help Show this screen and exit.
--version Show version.
--baud=<n> Baudrate [default: 9600]
'''
#argv = ['tcp', '127.0.0.1', '80', '--timeout', '30']
#docopt(doc, argv)
docopt(__doc__, version='0.2')
game = hangman.Hangman()
game.start_game()
