def main():
parse_options()
http_server = tornado.httpserver.HTTPServer(Application(),xheaders=True)
print "Server started on port "+str(options.port)
http_server.bind(int(options.port), "0.0.0.0")# listen local only "127.0.0.1"
http_server.start(1)
tornado.ioloop.IOLoop.instance().start()
def generate(self,
opts,
outfile=None,
format='svg',
preview=None,
stylesheet=None):
"""
Generates a the map and renders it using the specified output format.
"""
if preview is None:
preview = outfile is None
# Create a deep copy of the options dictionary so our changes will not be
# visible to the calling application.
opts = deepcopy(opts)
# Parse the options dictionary. See options.py for more details.
parse_options(opts)
# Create the map instance. It will do all the hard work for us, so you
# definitely should check out [map.py](map.html) for all the fun stuff happending
# there..
_map = Map(opts, self.layerCache, format=format)
# Check if the format is handled by a renderer.
format = format.lower()
if format in _known_renderer:
# Create a stylesheet
style = MapStyle(stylesheet)
# Create a renderer instance and render the map.
renderer = _known_renderer[format](_map)
renderer.render(style, opts['export']['prettyprint'])
if preview:
if 'KARTOGRAPH_PREVIEW' in os.environ:
command = os.environ['KARTOGRAPH_PREVIEW']
else:
commands = dict(win32='start',
win64='start',
darwin='open',
linux2='xdg-open')
import sys
if sys.platform in commands:
command = commands[sys.platform]
else:
sys.stderr.write(
'don\'t know how to preview SVGs on your system. Try setting the KARTOGRAPH_PREVIEW environment variable.'
)
print renderer
return
renderer.preview(command)
# Write the map to a file or return the renderer instance.
if outfile is None:
return renderer
elif outfile == '-':
print renderer
else:
renderer.write(outfile)
else:
raise KartographError('unknown format: %s' % format)
def generate(self, opts, output=None): """ new generic render api, will replace all render_... methods """ import options options.parse_options(opts) self.prepare_layers(opts) print opts
def generate(self, opts, outfile=None, format="svg", preview=None, stylesheet=None):
"""
Generates a the map and renders it using the specified output format.
"""
if preview is None:
preview = outfile is None
# Create a deep copy of the options dictionary so our changes will not be
# visible to the calling application.
opts = deepcopy(opts)
# Parse the options dictionary. See options.py for more details.
parse_options(opts)
# Create the map instance. It will do all the hard work for us, so you
# definitely should check out [map.py](map.html) for all the fun stuff happending
# there..
_map = Map(opts, self.layerCache, format=format)
# Check if the format is handled by a renderer.
format = format.lower()
if format in _known_renderer:
# Create a stylesheet
style = MapStyle(stylesheet)
# Create a renderer instance and render the map.
renderer = _known_renderer[format](_map)
renderer.render(style, opts["export"]["prettyprint"])
if preview:
if "KARTOGRAPH_PREVIEW" in os.environ:
command = os.environ["KARTOGRAPH_PREVIEW"]
else:
commands = dict(win32="start", win64="start", darwin="open", linux2="xdg-open")
import sys
if sys.platform in commands:
command = commands[sys.platform]
else:
sys.stderr.write(
"don't know how to preview SVGs on your system. Try setting the KARTOGRAPH_PREVIEW environment variable."
)
print renderer
return
renderer.preview(command)
# Write the map to a file or return the renderer instance.
if outfile is None:
return renderer
elif outfile == "-":
print renderer
else:
renderer.write(outfile)
else:
raise KartographError("unknown format: %s" % format)
def generate_kml(self, opts, outfile=None):
"""
generates KML file
"""
parse_options(opts)
self.prepare_layers(opts)
# proj = self.get_projection(opts)
# bounds_poly = self.get_bounds(opts,proj)
# bbox = bounds_poly.bbox()
proj = projections["ll"]()
view = View()
# view = self.get_view(opts, bbox)
# w = view.width
# h = view.height
# view_poly = MultiPolygon([[(0,0),(0,h),(w,h),(w,0)]])
# view_poly = bounds_poly.project_view(view)
view_poly = None
kml = self.init_kml_canvas()
layers = []
layerOpts = {}
layerFeatures = {}
# get features
for layer in opts["layers"]:
id = layer["id"]
layerOpts[id] = layer
layers.append(id)
features = self.get_features(layer, proj, view, opts, view_poly)
layerFeatures[id] = features
self.simplify_layers(layers, layerFeatures, layerOpts)
# self.crop_layers_to_view(layers, layerFeatures, view_poly)
self.crop_layers(layers, layerOpts, layerFeatures)
self.join_layers(layers, layerOpts, layerFeatures)
self.substract_layers(layers, layerOpts, layerFeatures)
self.store_layers_kml(layers, layerOpts, layerFeatures, kml, opts)
if outfile is None:
outfile = open("tmp.kml", "w")
from lxml import etree
outfile.write(etree.tostring(kml, pretty_print=True))
def run():
# Print a banner message
# print "Parboil parallel benchmark suite, version 0.2"
# print
# Global variable setup
if not globals.root:
globals.root = os.getcwd()
python_path = (os.path.join(globals.root,'common','python') +
":" +
os.environ.get('PYTHONPATH',""))
bmks = parboilfile.Directory(os.path.join(globals.root,'benchmarks'),
[], benchmark.benchmark_scanner())
globals.benchdir = bmks
globals.datadir = parboilfile.Directory(
os.path.join(globals.root, 'datasets'), [],
benchmark.dataset_repo_scanner())
globals.benchmarks = benchmark.find_benchmarks()
globals.program_env = {'PARBOIL_ROOT':globals.root,
'PYTHONPATH':python_path,
}
# Parse options
act = options.parse_options(sys.argv)
# Perform the specified action
if act:
return act()
def append(self, token):
""" Appends a token to the line while keeping the integrity of
the line, and checking if the logical line is complete.
"""
# The token content does not include whitespace, so we need to pad it
# adequately
token_started_new_line = False
if token.start_row > self.end_row:
self.end_col = 0
token_started_new_line = True
self.string += (token.start_col - self.end_col) * " " + token.content
self.end_row = token.end_row
self.end_col = token.end_col
self.last_token_type = token.type
# Keep count of the open and closed brakets.
if token.type == 'OP':
if token.content in self.open_symbols:
self.open_symbols[token.content] += 1
elif token.content in self.closing_symbols:
self.open_symbols[self.closing_symbols[token.content]] += -1
self.brakets_balanced = ( self.open_symbols.values() == [0, 0, 0] )
self.complete = ( self.brakets_balanced
and ( token.type in ('NEWLINE', 'ENDMARKER')
or ( token_started_new_line
and token.type == 'COMMENT' )
)
)
if ( token.type == 'COMMENT'
and token_started_new_line
and token.content[:10] == "#pyreport " ):
self.options.update(parse_options(self.string[10:].split(" "))[0])
def commandline_call():
""" Entry point of the program when called from the command line
"""
options, args = parse_options(sys.argv[1:])
if not len(args)==1:
if len(args)==0:
option_parser.print_help()
else:
print >> sys.stderr, "1 argument: input file"
sys.exit(1)
import time
t1 = time.time()
if args[0] == "-":
pyfile = sys.stdin
else:
pyfile = open(args[0],"r")
# fix include path
from os.path import dirname, abspath
path_of_pyfile = dirname(abspath(args[0]))
sys.path.insert(0, path_of_pyfile)
print sys.path
# Store the name of the input file for later use
options.update({'infilename':args[0]})
main(pyfile, overrides=options)
# FIXME: wath about the options defined in the script: options.quiet
if not 'quiet' in options:
print >>sys.stderr, "Ran script in %.2fs" % (time.time() - t1)
def append(self, token):
""" Appends a token to the line while keeping the integrity of
the line, and checking if the logical line is complete.
"""
# The token content does not include whitespace, so we need to pad it
# adequately
token_started_new_line = False
if token.start_row > self.end_row:
self.end_col = 0
token_started_new_line = True
self.string += (token.start_col - self.end_col) * " " + token.content
self.end_row = token.end_row
self.end_col = token.end_col
self.last_token_type = token.type
# Keep count of the open and closed brakets.
if token.type == 'OP':
if token.content in self.open_symbols:
self.open_symbols[token.content] += 1
elif token.content in self.closing_symbols:
self.open_symbols[self.closing_symbols[token.content]] += -1
self.brakets_balanced = (self.open_symbols.values() == [0, 0, 0])
self.complete = (
self.brakets_balanced
and (token.type in ('NEWLINE', 'ENDMARKER') or
(token_started_new_line and token.type == 'COMMENT')))
if (token.type == 'COMMENT' and token_started_new_line
and token.content[:10] == "#pyreport "):
self.options.update(parse_options(self.string[10:].split(" "))[0])
def receive_message():
print('Method: ' + str(request.method))
if request.method == 'GET':
"""Before allowing people to message your bot, Facebook has implemented a verify token
that confirms all requests that your bot receives came from Facebook."""
token_sent = request.args.get("hub.verify_token")
return verify_fb_token(token_sent)
#if the request was not get, it must be POST and we can just proceed with sending a message back to user
else:
# get whatever message a user sent the bot
output = request.get_json()
for event in output['entry']:
messaging = event['messaging']
for message in messaging:
msg = message.get('message')
if msg:
#Facebook Messenger ID for user so we know where to send response back to
sender_id = message['sender']['id']
print('The sender id is: ')
print(sender_id)
print('The message received is: ')
print(msg)
msg_text = msg.get('text')
if msg_text:
if msg_text.startswith('#start-translate'):
# set a flag in the database
# response_sent_text = get_message()
options.update_options(sender_id,
options.default_opts)
response_sent_text = 'Starting translation. All audio attachments\
will now be converted from speech to text'
send_message(sender_id, response_sent_text)
elif msg_text.startswith('#options'):
opts = options.parse_options(msg_text)
options.update_options(sender_id, opts)
send_message(
sender_id, 'Translating FROM: %s, TO: %s' %
(opts['src'], opts['dest']))
#if user sends us a GIF, photo,video, or any other non-text item
attachments = msg.get('attachments')
if attachments:
attch = attachments[0]
attch_type = attch.get('type')
if attch_type == 'audio':
try:
opts = options.get_options(sender_id)
except Exception as e:
print(e)
opts = options.default_opts
url = attch['payload']['url']
src = opts['src']
dest = opts['dest']
response = a2t.convert_audio_from_url(url, src)
translator = Translator()
converted_response = \
translator.translate(response, dest=dest, src=src)
send_message(sender_id, converted_response.text)
return "Message Processed"
def run():
# Print a banner message
print "Parboil parallel benchmark suite, version 0.2"
print
# Global variable setup
if not globals.root:
globals.root = os.getcwd()
python_path = (os.path.join(globals.root, 'common', 'python') + ":" +
os.environ.get('PYTHONPATH', ""))
bmks = parboilfile.Directory(os.path.join(globals.root, 'benchmarks'), [],
benchmark.benchmark_scanner())
globals.benchdir = bmks
globals.datadir = parboilfile.Directory(
os.path.join(globals.root, 'datasets'), [],
benchmark.dataset_repo_scanner())
globals.benchmarks = benchmark.find_benchmarks()
globals.program_env = {
'PARBOIL_ROOT': globals.root,
'PYTHONPATH': python_path,
}
# Parse options
act = options.parse_options(sys.argv)
# Perform the specified action
if act:
return act()
def main():
(options, args) = parse_options()
bus = smbus.SMBus(1)
display = VFDController(MCP23017(bus, 0x20))
display.setDisplay(True, False, False)
display.cls()
display.set_color(COLOR_NONE)
player = VFDMidiPlayer(root=options.dir, display=display)
print "Loaded ", player.count, "files into database"
if (options.writecatalog):
player.write_catalog()
print "catalog saved"
return
try:
while True:
player.poll()
time.sleep(0.1)
finally:
player.shutdown()
termios.tcsetattr(stdin_fd, termios.TCSAFLUSH, old_term)
def commandline_call():
""" Entry point of the program when called from the command line
"""
options, args = parse_options(sys.argv[1:])
if not len(args) == 1:
if len(args) == 0:
option_parser.print_help()
else:
print >> sys.stderr, "1 argument: input file"
sys.exit(1)
import time
t1 = time.time()
if args[0] == "-":
pyfile = sys.stdin
else:
pyfile = open(args[0], "r")
# Store the name of the input file for later use
options.update({'infilename': args[0]})
main(pyfile, overrides=options)
# FIXME: wath about the options defined in the script: options.quiet
if not 'quiet' in options:
print >> sys.stderr, "Ran script in %.2fs" % (time.time() - t1)
def generate_kml(self, opts, outfile=None):
"""
generates KML file
"""
parse_options(opts)
self.prepare_layers(opts)
#proj = self.get_projection(opts)
#bounds_poly = self.get_bounds(opts,proj)
#bbox = bounds_poly.bbox()
proj = projections['ll']()
view = View()
#view = self.get_view(opts, bbox)
#w = view.width
#h = view.height
#view_poly = MultiPolygon([[(0,0),(0,h),(w,h),(w,0)]])
# view_poly = bounds_poly.project_view(view)
view_poly = None
kml = self.init_kml_canvas()
layers = []
layerOpts = {}
layerFeatures = {}
# get features
for layer in opts['layers']:
id = layer['id']
layerOpts[id] = layer
layers.append(id)
features = self.get_features(layer, proj, view, opts, view_poly)
layerFeatures[id] = features
self.simplify_layers(layers, layerFeatures, layerOpts)
# self.crop_layers_to_view(layers, layerFeatures, view_poly)
self.crop_layers(layers, layerOpts, layerFeatures)
self.join_layers(layers, layerOpts, layerFeatures)
self.substract_layers(layers, layerOpts, layerFeatures)
self.store_layers_kml(layers, layerOpts, layerFeatures, kml, opts)
if outfile is None:
outfile = open('tmp.kml', 'w')
from lxml import etree
outfile.write(etree.tostring(kml, pretty_print=True))
def generate(self, opts, outfile=None, preview=True):
"""
generates svg map
"""
parse_options(opts)
self.prepare_layers(opts)
proj = self.get_projection(opts)
print proj
bounds_poly = self.get_bounds(opts, proj)
bbox = bounds_poly.bbox()
view = self.get_view(opts, bbox)
w = view.width
h = view.height
view_poly = MultiPolygon([[(0, 0), (0, h), (w, h), (w, 0)]])
# view_poly = bounds_poly.project_view(view)
svg = self.init_svg_canvas(opts, proj, view, bbox)
layers = []
layerOpts = {}
layerFeatures = {}
# get features
for layer in opts['layers']:
id = layer['id']
layerOpts[id] = layer
layers.append(id)
features = self.get_features(layer, proj, view, opts, view_poly)
layerFeatures[id] = features
self.join_layers(layers, layerOpts, layerFeatures)
self.simplify_layers(layers, layerFeatures, layerOpts)
self.crop_layers_to_view(layers, layerFeatures, view_poly)
self.crop_layers(layers, layerOpts, layerFeatures)
self.substract_layers(layers, layerOpts, layerFeatures)
self.store_layers_svg(layers, layerOpts, layerFeatures, svg, opts)
if outfile is None:
if preview:
svg.preview()
else:
return svg.tostring()
else:
svg.save(outfile)
def generate(self, opts, outfile=None, preview=True):
"""
generates svg map
"""
parse_options(opts)
self._verbose = 'verbose' in opts and opts['verbose']
self.prepare_layers(opts)
proj = self.get_projection(opts)
bounds_poly = self.get_bounds(opts, proj)
bbox = bounds_poly.bbox()
view = self.get_view(opts, bbox)
w = view.width
h = view.height
view_poly = MultiPolygon([[(0, 0), (0, h), (w, h), (w, 0)]])
# view_poly = bounds_poly.project_view(view)
svg = self.init_svg_canvas(opts, proj, view, bbox)
layers = []
layerOpts = {}
layerFeatures = {}
# get features
for layer in opts['layers']:
id = layer['id']
layerOpts[id] = layer
layers.append(id)
features = self.get_features(layer, proj, view, opts, view_poly)
layerFeatures[id] = features
self.join_layers(layers, layerOpts, layerFeatures)
self.simplify_layers(layers, layerFeatures, layerOpts)
self.crop_layers_to_view(layers, layerFeatures, view_poly)
self.crop_layers(layers, layerOpts, layerFeatures)
self.substract_layers(layers, layerOpts, layerFeatures)
self.store_layers_svg(layers, layerOpts, layerFeatures, svg, opts)
if outfile is None:
if preview:
svg.preview()
else:
return svg.tostring()
else:
svg.save(outfile)
def main():
# Determine training options specified by user. The full list of available options can be found in "options.py" file.
FLAGS = parse_options()
# Instantiate the agent and Mujoco environment. The designer must assign values to the hyperparameters listed in the "design_agent_and_env2.py" file.
agent, env = design_agent_and_env(FLAGS)
# Begin training
run_HAC(FLAGS, env, agent)
def receive_message():
print('Method: ' + str(request.method))
if request.method == 'GET':
"""Before allowing people to message your bot, Facebook has implemented a verify token
that confirms all requests that your bot receives came from Facebook."""
token_sent = request.args.get("hub.verify_token")
return verify_fb_token(token_sent)
#if the request was not get, it must be POST and we can just proceed with sending a message back to user
else:
# get whatever message a user sent the bot
output = request.get_json()
for event in output['entry']:
messaging = event['messaging']
for message in messaging:
msg = message.get('message')
if msg:
#Facebook Messenger ID for user so we know where to send response back to
sender_id = message['sender']['id']
print('The sender id is: ')
print(sender_id)
print('The message received is: ')
print(msg)
msg_text = msg.get('text')
if msg_text:
if msg_text.startswith('#start-translate'):
# set a flag in the database
# response_sent_text = get_message()
options.update_options(sender_id, options.default_opts)
response_sent_text = 'Starting translation. All audio attachments\
will now be converted from speech to text'
send_message(sender_id, response_sent_text)
elif msg_text.startswith('#options'):
opts = options.parse_options(msg_text)
options.update_options(sender_id, opts)
send_message(sender_id, 'Translating FROM: %s, TO: %s' % (opts['src'], opts['dest']))
#if user sends us a GIF, photo,video, or any other non-text item
attachments = msg.get('attachments')
if attachments:
attch = attachments[0]
attch_type = attch.get('type')
if attch_type == 'audio':
try:
opts = options.get_options(sender_id)
except Exception as e:
print(e)
opts = options.default_opts
url = attch['payload']['url']
src = opts['src']
dest = opts['dest']
response = a2t.convert_audio_from_url(url, src)
translator = Translator()
converted_response = \
translator.translate(response, dest=dest, src=src)
send_message(sender_id, converted_response.text)
return "Message Processed"
def main():
(options, args) = parse_options()
player = ConsoleMidiPlayer(root = options.dir)
print "Loaded ", player.count, "files into database"
if (options.writecatalog):
player.write_catalog()
print "catalog saved"
return
print "n - next file"
print "p - previous file"
print "> - next sub-folder"
print "< - previous sub-folder"
print "] - next major-folder"
print "[ - previous major-folder"
print "q - quit"
print ""
stdin_fd = sys.stdin.fileno()
new_term = termios.tcgetattr(stdin_fd)
old_term = termios.tcgetattr(stdin_fd)
new_term[3] = (new_term[3] & ~termios.ICANON & ~termios.ECHO)
termios.tcsetattr(stdin_fd, termios.TCSAFLUSH, new_term)
try:
while True:
if player.idle:
player.next_file()
dr,dw,de = select.select([sys.stdin], [], [], 0.1)
if dr != []:
ch = sys.stdin.read(1)
#ch = getchar()
if (ch == "n"):
player.next_file()
elif (ch == "p"):
player.prev_file()
elif (ch == ">"):
player.next_folder()
elif (ch == "<"):
player.prev_folder()
elif (ch == "]"):
player.next_major()
elif (ch == "["):
player.prev_major()
elif (ch == "q"):
break
finally:
player.shutdown()
termios.tcsetattr(stdin_fd, termios.TCSAFLUSH, old_term)
def main(argv=None):
global parser, settings
parser, settings = parse_options(argv)
cpu_util = CpuUtil(load_limit=int(settings.cpu_load_limit))
cpu_util.load_limit = int(settings.cpu_load_limit)
cpu_util.daemon = True
cpu_util.start()
Sender.host = settings.rabbit_host
Sender.port = int(settings.rabbit_port)
Sender.credentials = [settings.rabbit_login, settings.rabbit_psw]
app.run(host='0.0.0.0', threaded=True)
def run():
# Print a banner message
print "Parboil parallel benchmark suite, version 0.1"
print
# Global variable setup
root_path = os.getcwd()
python_path = (os.path.join(root_path,'common','python') +
":" +
os.environ.get('PYTHONPATH',""))
globals.root = root_path
globals.benchmarks = benchmark.find_benchmarks()
globals.program_env = {'PARBOIL_ROOT':root_path,
'PYTHONPATH':python_path,
}
# Parse options
act = options.parse_options(sys.argv)
# Perform the specified action
if act: act()
def run():
# Print a banner message
print "Parboil parallel benchmark suite, version 0.1"
print
# Global variable setup
root_path = os.getcwd()
python_path = (os.path.join(root_path, 'common', 'python') + ":" +
os.environ.get('PYTHONPATH', ""))
globals.root = root_path
globals.benchmarks = benchmark.find_benchmarks()
globals.program_env = {
'PARBOIL_ROOT': root_path,
'PYTHONPATH': python_path,
}
# Parse options
act = options.parse_options(sys.argv)
# Perform the specified action
if act: act()
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
# 02110-1301, USA.
#
from gi.repository import GObject as gobject
import datetime, random
import options, sys
options = options.parse_options (graphic_mode=False, period=2, msgsize=1, timeout=0)
if options['graphic_mode']:
import gtk
from abstract_engine import AbstractEngine
superKlass = AbstractEngine
mainloop = gtk.main
else:
from abstract_text_engine import AbstractTextEngine
superKlass = AbstractTextEngine
mainloop = gobject.MainLoop().run
class WebBrowserEngine (superKlass):
def __init__ (self, name, period, msgsize, timeout):
""" This is the starting file for the Hierarchical Actor-Critc (HAC) algorithm. The below script processes the command-line options specified by the user and instantiates the environment and agent. """ import comet_ml from design_agent_and_env import design_agent_and_env from options import parse_options from agent import Agent from run_HAC import run_HAC # Determine training options specified by user. The full list of available options can be found in "options.py" file. FLAGS = parse_options() # Instantiate the agent and Mujoco environment. The designer must assign values to the hyperparameters listed in the "design_agent_and_env.py" file. agent, env = design_agent_and_env(FLAGS) # Begin training run_HAC(FLAGS, env, agent)
import argparse
import sys
import torch
import torch.optim as optim
from torch.autograd import Variable
from options import parse_options
# from util import SharedLogDirichletInitializer
import random
from terpret_problem import TerpretProblem, TerpretProblem_ConcreteDistribution, TerpretProblem_STE, TerpretProblem_Bop, TerpretProblem_NR, TerpretProblem_NR_New
from terpret_problem import Bop, CustomizedAdam, NewAdam
from terpret_problem import TerpretProblem_binary
from terpret_problem import NewOp
if __name__ == "__main__":
opts = parse_options()
manualSeed = 0
manualSeed = random.randint(1, 10000) # use if you want new results
print("Random Seed: ", manualSeed)
random.seed(manualSeed)
torch.manual_seed(manualSeed)
if opts.type == 0:
''' type 0: continuous surrogate '''
tp = TerpretProblem(opts)
# optimizer = optim.Adam(tp.parameters(), lr=0.001)
optimizer = optim.Adam(tp.parameters(), lr=0.001)
elif opts.type == 1:
''' type 1: using a local reparameterization of gumble-softmax trick '''
import torch
import torch.nn.functional as F
import pickle
import os
import options
import logger
from rl.qlearning_trainer_gc import (
QLearningGraphCenteredTrainer,
QLearningPrioritizedBufferGraphCenteredTrainer,
)
from model.graph_centered import GraphCenteredNet, GraphCenteredNetV2
from data.embedding import DirectionalPositionalEmbedding, DirectionalEmbedding
opt = options.parse_options()
opt.embedding = DirectionalPositionalEmbedding()
# Setup logger
logger.setup_logger(opt.logs, training_id=opt.training_id)
history_train = dict()
history_eval = dict()
if opt.use_prioritised_replay:
trainer = QLearningPrioritizedBufferGraphCenteredTrainer(opt)
else:
trainer = QLearningGraphCenteredTrainer(opt)
# Load pretrained models if any
if opt.pretrained:
trainer.policy_net.load_state_dict(torch.load(opt.weights_path))
trainer.target_net.load_state_dict(torch.load(opt.weights_path))
from torch.utils.data import DataLoader
from torch.autograd import Variable
from PIL import Image
import torch
from models import Generator
from models import Discriminator
from utils import ReplayBuffer
from utils import LambdaLR
from utils import Logger
from utils import weights_init_normal
from datasets import ImageDataset
from dataloader import load_dataset_da
from options import parse_options
from tqdm import tqdm
opt = parse_options()
if torch.cuda.is_available() and not opt['cuda']:
print("WARNING: You have a CUDA device, so you should probably run with --cuda")
###### Definition of variables ######
# Networks
netG_A2B = Generator(opt['input_nc'], opt['output_nc'])
netG_B2A = Generator(opt['output_nc'], opt['input_nc'])
netD_A = Discriminator(opt['input_nc'])
netD_B = Discriminator(opt['output_nc'])
if opt['cuda']:
netG_A2B.cuda()
netG_B2A.cuda()
netD_A.cuda()
def generate(self, opts, outfile=None, format='svg', preview=None, stylesheet=None, render_format='wikiplace', curr_place=00000, cache_bounds=False, cache_view = False, cache_union = False, verbose=False):
"""
Generates a the map and renders it using the specified output format.
"""
if preview is None:
preview = False#outfile is None
# Create a deep copy of the options dictionary so our changes will not be
# visible to the calling application.
opts = deepcopy(opts)
# Parse the options dictionary. See options.py for more details.
parse_options(opts)
# Create the map instance. It will do all the hard work for us, so you
# definitely should check out [map.py](map.html) for all the fun stuff happending
# there..
alt_outfile=''
countyalt_file=''
curr_place_name=''
curr_state_name=''
curr_state_fips=''
_map = Map(opts, self.layerCache, format=format,boundCache=self.boundCache, cache_bounds=cache_bounds, viewCache=self.viewCache, cache_view=cache_view, unionCache = self.unionCache, cache_union = cache_union, verbose=verbose)
for layer in _map.layers:
if layer.id=='countylayer':
county_and_flag=False
county_list=[(feat.props['NAME'],self.lsad_map[feat.props['LSAD']]) for feat in layer.features]
county_list=sorted(county_list)
for (county, county_type) in county_list:
if county_and_flag:
countyalt_file+='_and_'
countyalt_file=countyalt_file+county+'_'+county_type
county_and_flag=True
#print 'Feature={0}'.format(feature.props)
curr_state_name=self.state_fips[feature.props['STATEFP']]
curr_state_fips=feature.props['STATEFP']
for feature in layer.features:
if 'PLACEFP' in feature.props and feature.props['PLACEFP']==curr_place: # this is highlighting place
curr_place_name=re.sub('\s','_',feature.props['NAME']+' '+self.lsad_map[feature.props['LSAD']])
#print('feature.props={0}'.format(feature.props))
alt_outfile=countyalt_file+'_'+curr_state_name+'_Incorporated_and_Unincorporated_areas_'+curr_place_name+'_Highlighted_'+curr_state_fips+curr_place+'.svg'
#print('alt_outfile={0}'.format(alt_outfile))
if outfile is None:
outfile=re.sub('/','-',alt_outfile) # use the alt outfile if nothing else specified
outfile=outfile.encode('utf-8','replace')
print 'outfile was None, now={0}'.format(outfile)
else:
print('outfile={0}'.format(outfile))
stylesheet+=_map.add_styling();
# Check if the format is handled by a renderer.
format = format.lower()
if format in _known_renderer:
# Create a stylesheet
style = MapStyle(stylesheet)
# Create a renderer instance and render the map.
renderer = _known_renderer[format](_map)
renderer.render(style, opts['export']['prettyprint'], render_format)
if preview:
if 'KARTOGRAPH_PREVIEW' in os.environ:
command = os.environ['KARTOGRAPH_PREVIEW']
else:
commands = dict(win32='start', win64='start', darwin='open', linux2='xdg-open')
import sys
if sys.platform in commands:
command = commands[sys.platform]
else:
sys.stderr.write('don\'t know how to preview SVGs on your system. Try setting the KARTOGRAPH_PREVIEW environment variable.')
print renderer
return
renderer.preview(command)
# Write the map to a file or return the renderer instance.
if outfile is None:
return renderer
elif outfile == '-':
print renderer
else:
renderer.write(outfile)
else:
raise KartographError('unknown format: %s' % format)
result = lisp_tree_str(tree[0])
else:
result = tree[0]
print>>destination,result
class ReadlineWrap(object):
def readline(self):
return raw_input()
def main(options,args):
destination = sys.stdout
if options.expression != None:
eval_expression(options.expression,options.eval,destination)
return
if options.filename:
input_file = open(options.filename)
else:
input_file = ReadlineWrap()
while True:
try:
input = input_file.readline().strip()
if input == "":
break
eval_expression(input,options.eval,destination,options)
except EOFError:
break
if __name__=="__main__":
options,args = options.parse_options(sys.argv)
main(options,args)
class ReadlineWrap(object):
def readline(self):
return raw_input()
def main(options, args):
destination = sys.stdout
if options.expression != None:
eval_expression(options.expression, options.eval, destination)
return
if options.filename:
input_file = open(options.filename)
else:
input_file = ReadlineWrap()
while True:
try:
input = input_file.readline().strip()
if input == "":
break
eval_expression(input, options.eval, destination, options)
except EOFError:
break
if __name__ == "__main__":
options, args = options.parse_options(sys.argv)
main(options, args)