def main():
"""It's the main function. You call this to start the bot."""
try:
settings.load()
except (FileNotFoundError or IOError or json.decoder.JSONDecodeError):
settings.save()
try:
settings.manager["OAUTH_TOKEN_DISCORD"]
except KeyError:
print(
"Please enter an OAuth token for this bot, so it can sign into Discord."
)
settings.manager["OAUTH_TOKEN_DISCORD"] = input("> ")
try:
settings.manager["SUPPORT_GUILD"]
except KeyError:
print(
"Please enter a support guild link for this bot. You may leave it blank."
)
settings.manager["SUPPORT_GUILD"] = input("> ")
logger.info("Warming up...")
extensions = settings.manager.get("EXTENSIONS",
settings.DEFAULT_EXTENSIONS)
for extension in extensions:
logger.info(f"Loading extension {extension}")
try:
bot.load_extension(extension)
logger.info(f"Extension {extension} loaded")
except Exception as error:
logger.warning(f"Extension {extension} seems to be broken")
logger.warning(error)
bot.run(settings.manager["OAUTH_TOKEN_DISCORD"])
def startup():
settings.load('settings.ini')
db.setup()
logging.getLogger().info("Checking database integrity.")
#db.connection.execute("VACUUM")
logging.getLogger().info("Integrity check complete. Continuing.")
def main():
root = tk.Tk()
settings.load()
root.geometry(settings.get('main_window_geometry'))
app = MainWindow(root)
db.init()
root.mainloop()
def finish(self): newres = not self.resbuttons.buttonmap[settings.size].selected newwin = not self.wbuttons.buttonmap[settings.fullscreen].selected for buttonset in self.buttonsets: for button in buttonset.buttons: if button.selected: button.confirm() context.pop() settings.save() settings.load() if newres or newwin: vista.init()
def load():
print "main.load"
settings.load()
window = mc.GetActiveWindow()
window.GetControl(1).SetVisible(False)
focus_control = __restore_menu(window, __menu)
if focus_control:
print "SETTING focus in LOAD"
focus(focus_control)
else:
__set_title('Main')
window.GetList(MAIN_LIST_ID).SetVisible(True)
window.GetControl(1).SetVisible(True)
def evaluate(individual):
#sim_uuid = uuid.uuid4()
#print("Beginning pyloric circuit simulation {0}...".format(sim_uuid))
settings.load(individual)
y = expEuler.run(settings.func, settings.y0, settings.t, settings.params)
volts = [y[:,8], y[:,21], y[:,34]]
featuresOf = features.extract_circuit_features(y, settings.tmin, settings.tmax, settings.trange, settings.h)
errs = objectives.errFunc(featuresOf)
errs2nd = objectives2nd.errFunc(featuresOf)
return [volts, featuresOf, errs, errs2nd]
def main(): #start the game running try: # poke_types.load_data() #load pokemon type data # pokemon.load_data() map.load_data() settings.load(g) g.save = savegame.SaveGame(g) #initialize a new savegame manager g.reset() #reset the game g.mainloop() #start the main loop except error.QuitException: #if it was just a forced quit pass except Exception as e: #if it's any other exception error.exception_handler(g, e) #pass it to exception handler g.keeprunning = False
def send_reset_email(self):
expires = datetime.datetime.now() + reset_password_timeout
url = self.generate_reset_link()
body = ("A password reset for {} has been requested.\r\n".format(
self.username), "Navigate to {} to complete reset.".format(url),
"Expires on {}".format(expires.isoformat()))
message = MIMEText('\r\n'.join(body))
message['Subject'] = "Password Reset Link for CASCADE on {}".format(
settings.load()['server']['hostname'])
message['From'] = 'cascade@' + settings.load()['server']['hostname']
message['To'] = self.email
server = smtplib.SMTP(settings.load()['links']['smtp'])
server.set_debuglevel(1)
server.sendmail(message['From'], [self.email], message.as_string())
server.quit()
def run(self):
self.config = settings.load(self, "jame.ini")
query = "SELECT VERSION()"
print "MySQL version: %s" % dbase.db.connect(self, query)[0]
for i in xrange(-9, 9):
for j in xrange(-9, 9):
terrain.gen.createTile(self, "grass", i, j, 0)
def __init__(self, settings=None, midi_port=None):
self.midi_out = rtmidi.MidiOut(b'in')
if not settings:
self.settings = default_settings.load()
# Default to first port
if midi_port == None:
# TODO: check to see if there are any ports at all first!
midi_port = self.midi_out.ports[0]
self.midi_enabled = True
self.midi_out.open_port(midi_port)
# Control Change is signalled by 0xb0, see: https://www.midi.org/specifications/item/table-1-summary-of-midi-message
# Also good to stick to typically undefined range, http://nickfever.com/music/midi-cc-list
# TODO: don't hardcode cc!
self.cc_hex = 0xb0
self.x_cc = 86
self.y_cc = 87
self.z_cc = 88
self.metrics = {
"x": 0,
"y": 0,
"z": 0
}
self.tracker = Tracker()
def set_properties(self):
# Load the settings
settings = Settings()
settings.load()
# Get the checkboxes
x11_forward = self.builder.get_object("chk_enable_x11")
request_compression = self.builder.get_object("chk_request_compress")
force_ipv4 = self.builder.get_object("radio_force_ipv4")
force_ipv6 = self.builder.get_object("radio_force_ipv6")
# Set the config
x11_forward.set_active(bool(settings.x11_forward))
request_compression.set_active(bool(settings.request_compression))
force_ipv4.set_active(bool(settings.force_ipv4))
force_ipv6.set_active(bool(settings.force_ipv6))
def __main():
"""
Configures run options based off of arguments and starts lane_detection
:return: void
"""
if camera is not None: # use camera as input
source = camera
elif file is not None: # use file as input
source = file
else: # use default as input
source_settings = settings.load(settings.SettingsCategories.INPUT,
settings.InputSettings.SOURCES)
defaultInput = source_settings.default.input
if defaultInput == 'file':
source = __get_abs_path(source_settings.default.file_source)
elif defaultInput == 'camera':
camera_type = source_settings.default.camera_source
source = settings.cameras[camera_type]
else:
raise Exception('Invalid default input type')
hough = HoughTransform(source, n_consumers=1)
histopeak = HistogramPeakDetection(source, n_consumers=1)
lane_departure = LaneDeparture(hough)
def set_properties(self):
# Load the settings
settings = Settings()
settings.load()
# Get the checkboxes
x11_forward = self.builder.get_object("chk_enable_x11")
request_compression = self.builder.get_object("chk_request_compress")
force_ipv4 = self.builder.get_object("radio_force_ipv4")
force_ipv6 = self.builder.get_object("radio_force_ipv6")
# Set the config
x11_forward.set_active(bool(settings.x11_forward))
request_compression.set_active(bool(settings.request_compression))
force_ipv4.set_active(bool(settings.force_ipv4))
force_ipv6.set_active(bool(settings.force_ipv6))
def create_user():
if not settings.load()['config'].get('allow_account_creation', False):
return JSONResponse(status=httplib.FORBIDDEN)
""" This API route is used by the create new account template to add a new user into Mongo """
if isinstance(request.json, dict):
args = request.json
if args.get('username') and args.get('password'):
try:
user = users.create_user(args['username'], args['password'],
args.get('email'),
args.get('full_name'))
except users.PasswordPolicyError as error:
regex, rules = error.args
return JSONResponse(
{'violation': {
'regex': regex,
'rules': rules
}}, httplib.BAD_REQUEST)
if user is not None:
response = Response(status=httplib.CREATED)
response.set_cookie('user-token',
user.generate_token(),
max_age=datetime.timedelta(days=7))
return response
else:
return JSONResponse({'message': 'Username already exists!'},
status=httplib.BAD_REQUEST)
return JSONResponse(
{'message': 'Username, email and password are required'},
status=httplib.BAD_REQUEST)
def _refresh(self):
channels = []
cpaths = glob.glob(path.join(locations.CHAN_PATH, CHANID_GLOB))
#print "cpath=>"
#print cpaths
for p in cpaths:
try:
#print "p=>"
#print p
channels.append(Channel(p, False))
except ImportError:
pass
cpaths = glob.glob(path.join(locations.PLUGIN_PATH, CHANID_GLOB))
#print "plugin path=>"
#print cpaths
for p in cpaths:
try:
channels.append(Channel(p, True))
except ImportError:
pass
# Ignore channels with no image
#print "channels"
#print channels
channels = filter(lambda chan: chan.imageExists(), channels)
self.channels = sorted(channels,
key=lambda chan: chan.getTitle().upper())
self.settings = settings.load("channels")
def _set_subs_lang(self, subs):
if subs is not None:
sub_settings = settings.load("subtitles")
if 'lang' in sub_settings:
subs['lang'] = sub_settings['lang']
else:
subs['lang'] = 'eng'
return subs
def _set_subs_lang(self, subs):
if subs is not None:
sub_settings = settings.load("subtitles")
if "lang" in sub_settings:
subs["lang"] = sub_settings["lang"]
else:
subs["lang"] = "eng"
return subs
def set_password(self, value):
password_config = settings.load().get('password', None)
if password_config and password_config.get('enforce'):
regex = password_config['regex']
rules = password_config.get('rules', [])
if re.match(regex, value) is None:
raise PasswordPolicyError(regex, rules)
self.sha256_hash = sha256_crypt.encrypt(value)
def _set_subs_lang(self, subs):
if subs is not None:
sub_settings = settings.load("subtitles")
if 'lang' in sub_settings:
subs['lang'] = sub_settings['lang']
else:
subs['lang'] = 'eng'
return subs
def main():
settings.load()
midi.setupMidiPorts()
octatrack_pages.setup()
setupLaunchpad()
triggerOctatackMidiDump()
gotoSavedSelectedPage()
try:
while True:
pass
except KeyboardInterrupt:
pass
finally:
print('\n')
print('save settings . . .')
settings.save()
print('exit.')
def get_meid(mvid):
import sqlalchemy
sett = settings.load()
cstr = sett['epi_conn_str']
eng = sqlalchemy.create_engine(cstr)
meid = pd.read_sql(
"""
SELECT modelable_entity_id FROM epi.model_version
WHERE model_version_id = %s""" % mvid, eng)
return meid.values[0][0]
def _refresh(self):
channels = []
cpaths = glob.glob(path.join(locations.CHAN_PATH, CHANID_GLOB))
for p in cpaths:
channels.append(Channel(p, False))
cpaths = glob.glob(path.join(locations.PLUGIN_PATH, CHANID_GLOB))
for p in cpaths:
channels.append(Channel(p, True))
self.channels = sorted(channels, key=lambda chan: chan.getTitle().upper())
self.settings = settings.load("channels")
def _refresh(self):
channels = []
cpaths = glob.glob(path.join(locations.CHAN_PATH, CHANID_GLOB))
for p in cpaths:
channels.append(Channel(p, False))
cpaths = glob.glob(path.join(locations.PLUGIN_PATH, CHANID_GLOB))
for p in cpaths:
channels.append(Channel(p, True))
self.channels = sorted(channels,
key=lambda chan: chan.getTitle().upper())
self.settings = settings.load("channels")
def getpath(force_select=False):
filename = settings.load().get("tzpath", "")
if not filename or force_select:
FILE_OPTS = ___ = dict()
___["title"] = u"Locate the 桶裝出貨表 file."
___["defaultextension"] = ".xls"
___["filetypes"] = [("Excel files", ".xls"), ("all files", ".*")]
___["initialdir"] = u"T:\\Users\\chairman\\Documents\\"
___["initialfile"] = u"桶裝出貨表.xls"
filename = os.path.normpath(tkFileDialog.askopenfilename(**FILE_OPTS))
settings.update(tzpath=filename)
return filename
def run():
"""
TODO: write docstring
"""
# Set environment variables
settings.load()
# Get PostgreSQL database credentials
psql_credentials = settings.get_psql()
# Create SQLAlchemy engine from database credentials
engine = create_connection_from_dict(psql_credentials, 'postgresql')
# Get data to process from postgres
quants_df = execute_sql('select * from features.quants;', engine, read_file=False, return_df=True)
data_dir = settings.get_data_dir()
labeled_fishing_dir = data_dir / 'labeled_data' / 'fishing'
labeled_nonfishing_dir = data_dir / 'labeled_data' / 'nonfishing'
cnn_split_dir = data_dir / 'cnn_split'
if cnn_split_dir.exists():
shutil.rmtree(cnn_split_dir, ignore_errors=False, onerror=None)
cnn_split_dir.mkdir(parents=True, exist_ok=True)
# Create labeled data
print('Creating labeled data.')
fishy_stuff = fishing_prefilter(quants_df)
nonfish = nonfishing_dataframe_creator(quants_df, fishy_stuff)
dataset = sampler(fishy_stuff, nonfish)
trajectory_separator(dataset, data_dir)
# Create train / test split
print("Creating train/test split")
split_data(labeled_fishing_dir, labeled_nonfishing_dir, cnn_split_dir, binary_name='fishing', set_seed=223)
# Train the cnn
run_cnn(cnn_split_dir, batchsize=256, epochs=50, color_mode='rgb', start_filters=8, depth=2, dense_count = 2, dense_neurons = 256, bnorm = False)
def get_directories(mvid):
""" Define and creat directories for cascade outputs and logs """
sett = settings.load()
logdir = '%s/%s' % (sett['log_dir'], mvid)
try:
os.makedirs(logdir)
except:
pass
root_dir = '%s/%s' % (sett['cascade_ode_out_dir'], mvid)
try:
os.makedirs(root_dir)
except:
pass
os.chmod(logdir, 0o775)
os.chmod(root_dir, 0o775)
return {'logdir': logdir, 'root_dir': root_dir}
def main():
args = args_parser()
sets = settings.load(args.setting)
if len(sets) == 0:
print("No servers found.")
exit(1)
loop = asyncio.get_event_loop()
loop.set_default_executor(ThreadPoolExecutor())
servers = [s.build(loop) for s in sets]
servers.append(core.idle(loop))
try:
loop.run_until_complete(asyncio.gather(*servers))
except KeyboardInterrupt:
pass
loop.close()
def _refresh(self):
channels = []
cpaths = glob.glob(path.join(locations.CHAN_PATH, CHANID_GLOB))
for p in cpaths:
try:
channels.append(Channel(p, False))
except ImportError:
pass
cpaths = glob.glob(path.join(locations.PLUGIN_PATH, CHANID_GLOB))
for p in cpaths:
try:
channels.append(Channel(p, True))
except ImportError:
pass
# Ignore channels with no image
channels = filter(lambda chan: chan.imageExists(), channels)
self.channels = sorted(channels, key=lambda chan: chan.getTitle().upper())
self.settings = settings.load("channels")
def load(self) -> bool:
"""
Loads the region of interest from disk for the pipeline's source
:return: bool (the success status of the load operation)
"""
rois = settings.load(settings.SettingsCategories.INPUT,
settings.InputSettings.ROI,
must_exist=False)
if rois is None or rois.get(self._pipeline.source, None) is None:
if self._when_missing_open_editor:
return self.editor(self._pipeline.frame)
else:
return False # failed to load and could not open editor (ROI does not exist)
else:
self._roi = rois[self._pipeline.source]
return True
def main(_):
settings = load('settings.yaml')
# Detect number of training examples
images_path = settings['dirs']['raw_data'] + '/data/images'
num_examples = len([name for name in os.listdir(images_path) if os.path.isfile(os.path.join(images_path,name))])
# Randomly subdivide examples into training and evaluation sets
ratio = settings['training_ratio']
random.seed()
training_ids = random.sample(range(1, num_examples + 1), int(ratio * num_examples))
eval_ids = list(set(range(1, num_examples + 1)) - set(training_ids))
# Put images into their directories
for id in training_ids:
src = images_path + '/' + str(id) + '.jpg'
dest = settings['dirs']['test_images'] + '/' + str(id) + '.jpg'
shutil.copyfile(src, dest)
for id in eval_ids:
src = images_path + '/' + str(id) + '.jpg'
dest = settings['dirs']['eval_images'] + '/' + str(id) + '.jpg'
shutil.copyfile(src, dest)
# Generate TFRecord for training examples
writer = tf.python_io.TFRecordWriter(FLAGS.training_output)
examples = create_tf_examples(training_ids, \
settings['dirs']['test_images'], \
settings['dirs']['raw_data'] + '/data/database/training_examples.sqlite3')
for e in examples:
writer.write(e.SerializeToString())
writer.close()
# Generate TFRecord for evaluation examples
writer = tf.python_io.TFRecordWriter(FLAGS.evaluation_output)
examples = create_tf_examples(eval_ids, \
settings['dirs']['eval_images'], \
settings['dirs']['raw_data'] + '/data/database/training_examples.sqlite3')
for e in examples:
writer.write(e.SerializeToString())
writer.close()
def setUp(self):
settings.load(conf_path)
response = Response(response=body, status=status, headers=headers)
if not sid_is_valid:
curr_data = dict(request.session)
request.session = sessions.new()
request.session.update(curr_data)
request.session.modified = True
if request.session.should_save:
sessions.save(request.session)
cookie_path = settings.get_str('global', 'cookie_path_prefix', '/')
response.set_cookie(sessions.get_cookie_name(),
request.session.sid,
path=cookie_path)
return response(environ, start_response)
settings.load(path=CONF_PATH)
if settings.get('global', 'manatee_path', None):
sys.path.insert(0, settings.get('global', 'manatee_path'))
# please note that some environments may provide umask setting themselves
if settings.get('global', 'umask', None):
os.umask(int(settings.get('global', 'umask'), 8))
if not settings.get_bool('global', 'maintenance'):
application = KonTextWsgiApp()
else:
application = MaintenanceWsgiApp()
robots_path = os.path.join(os.path.dirname(__file__), 'files/robots.txt')
if os.path.isfile(robots_path):
parser.add_argument('-r',
'--replace',
metavar='REPLACE',
action='store_const',
const=True,
help='Remove possible existing record first')
args = parser.parse_args()
if args.kontext_conf:
conf_path = args.kontext_conf
else:
conf_path = os.path.join(os.getcwd(), 'conf', 'config.xml')
logging.getLogger(__name__).info(
'No config.xml path specified - assuming ./conf/config.xml')
conf = Config(registry_dir_path=args.registry_dir,
kontext_conf_path=conf_path)
settings.load(conf_path)
jsonpath = args.jsonpath.rstrip('/')
conf.update_missing(load_default_conf(jsonpath))
db_conf = find_db_reg_paths(settings)
backend = WritableBackend(db_conf)
if os.path.isfile(jsonpath):
file_list = [jsonpath]
elif os.path.isdir(jsonpath):
file_list = get_conf_list(jsonpath)
process_corpora(file_list,
backend=backend,
reg_dir=conf.registry_dir_path,
variant=args.variant,
replace=args.replace)
backend.commit()
def spawn_simulation(infile, pauses, outfolder): settings = load(infile) write_pauses(pauses, outfolder) settings["pauses"] = pauses experiment = ExperimentSet(settings, outfolder) experiment.run()
from settings import load
import sys
import csv
from math import ceil
try:
output = sys.argv[2]
import matplotlib
matplotlib.use("Agg")
except:
output = None
import pylab
settings = load(sys.argv[1])
with open(settings["output"] + "/" + "densities.csv", "rb") as f:
# load data
data = list(
map(float, densities) for densities in csv.reader(f, delimiter=','))
# fill in width
dataFilled = []
for tick in data:
newTick = []
length = len(data)
for pos in range(length):
newTick.append(
sum(tick[pos:min(pos + settings['fatness'], length)]))
dataFilled.append(newTick)
data = dataFilled
class HistogramPeakDetection(Pipeline):
"""
Explain Histogram Peak Detection here
"""
DEGREE_TO_FIT_TO_LINES: int = 1
settings: config_dict = settings.load(
settings.SettingsCategories.PIPELINES,
settings.PipelineSettings.HISTOGRAM_PEAK_DETECTION)
def __init__(self,
source: str,
*,
n_consumers: int = 0,
should_start: bool = True,
show_pipeline: bool = True,
debug: bool = False):
"""
Calls superclass __init__ (see Pipeline.__init__ for more details)
:param source: the filename or device that the pipeline should be run on
:param should_start: a flag indicating whether or not the pipeline should start as soon as it is instantiated
:param debug: a flag indicating whether or not the use is debugging the pipeline. In debug, the pipeline is
shown and debug statements are enabled
"""
super().__init__(source,
n_consumers=n_consumers,
image_mask_enabled=True,
should_start=should_start,
show_pipeline=show_pipeline,
debug=debug)
def _init_pipeline(self, first_frame):
super()._init_pipeline(first_frame)
self._historic_fill = HistoricFill(
self.fps,
HistogramPeakDetection.DEGREE_TO_FIT_TO_LINES,
max_consecutive_autofills=5)
def _add_knot(self, name: str, image: numpy.array, hls: bool = False):
if hls:
image = cv2.cvtColor(image, cv2.COLOR_HLS2RGB)
return super()._add_knot(name, image)
def filter_thresholds(self, image: numpy.array, thresholds: Union[tuple[int, int], list[tuple[int, int]]])\
-> numpy.array:
if isinstance(thresholds, tuple):
thresholds = [thresholds]
filter_mask = numpy.zeros_like(image)
for threshold in thresholds:
lower_threshold, upper_threshold = threshold
filter_mask[(lower_threshold <= image)
& (image <= upper_threshold)] = 255
return filter_mask
def fill_filter_close_regions(self,
filter_image: numpy.array,
max_fill_distance: int = 20) -> numpy.array:
filter = numpy.copy(filter_image)
for row_index, row in enumerate(filter):
last_filled_index = None
for pixel_index, pixel in enumerate(row):
if pixel == 255:
if last_filled_index is not None and pixel_index - last_filled_index <= max_fill_distance:
filter[row_index,
last_filled_index + 1:pixel_index - 1] = 255
last_filled_index = pixel_index
return filter
def get_histogram_peak_points(self, detected_image: numpy.array,
window_height: int = settings.sliding_window.height,
n_max_per_window: int = settings.sliding_window.n_max_per_window)\
-> tuple[numpy.array, numpy.array]:
height, width, *_ = detected_image.shape
height -= general.pipeline_settings.lanes.bottom_offset + general.pipeline_settings.lanes.top_offset
if height % window_height != 0:
raise FloatingPointError(
"window_height must evenly divide the detected_image height")
num_vertical_windows = height // window_height
# 3rd dimension: 0th entry is left side, 1st entry is right side
vertical_averages = numpy.empty(
(constants.NUM_LANES_TO_DETECT, num_vertical_windows,
width // constants.NUM_LANES_TO_DETECT), numpy.float)
for i in range(num_vertical_windows):
window = detected_image[
general.pipeline_settings.lanes.top_offset +
i * window_height:general.pipeline_settings.lanes.top_offset +
(i + 1) * window_height + 1, :]
vertical_window_average = numpy.average(window, axis=0)
vertical_averages[
0,
i, :] = vertical_window_average[0:width //
constants.NUM_LANES_TO_DETECT]
vertical_averages[
1,
i, :] = vertical_window_average[width //
constants.NUM_LANES_TO_DETECT:]
window_maxes = numpy.iinfo(numpy.uint16).max * numpy.ones(
(constants.NUM_LANES_TO_DETECT, num_vertical_windows,
n_max_per_window), numpy.uint16)
for i in range(num_vertical_windows):
for lane in range(constants.NUM_LANES_TO_DETECT):
n_max_indices = numpy.argpartition(
vertical_averages[lane, i, :],
-n_max_per_window)[-n_max_per_window:]
maxes_greater_than_threshold_indices = vertical_averages[
lane, i,
n_max_indices] >= HistogramPeakDetection.settings.sliding_window.active_threshold
n_max_indices = n_max_indices[
maxes_greater_than_threshold_indices]
window_maxes[lane, i, 0:n_max_indices.shape[0]] = n_max_indices
# if numpy.max(vertical_averages[lane, i, :]) >= 150:
# window_maxes[lane, i] = numpy.argmax(vertical_averages[lane, i, :])
if self.debug:
plot.bar(numpy.arange(width), numpy.average(detected_image,
axis=0))
plot.show()
time.sleep(7.5)
points: list[list[tuple[int, int]]] = [
[] for i in range(constants.NUM_LANES_TO_DETECT)
]
for window_index in range(num_vertical_windows):
y_cord = general.pipeline_settings.lanes.top_offset + window_index * window_height + window_height // 2
for lane in range(constants.NUM_LANES_TO_DETECT):
for i in range(n_max_per_window):
if window_maxes[lane, window_index, i] != numpy.iinfo(
numpy.uint16).max:
points[lane].append(
(window_maxes[lane, window_index, i] +
lane * width // constants.NUM_LANES_TO_DETECT,
y_cord))
left_points, right_points = points
return numpy.array(left_points), numpy.array(right_points)
def filter_points(self,
points: numpy.array,
reject_outside_n_std_devs: float = 1.5,
max_iterations: int = 5,
max_residual: int = 20) -> numpy.array:
assert len(points) >= 2
assert numpy.all(numpy.diff(points[:, 1]) >= 0) # sorted by y value
def line_of_best_fit(
data: numpy.array) -> tuple[numpy.poly1d, numpy.array, float]:
assert len(points) > 1 # there are points to fit a line on
best_fit_coef = numpy.polyfit(
data[:, 1],
data[:, 0],
deg=HistogramPeakDetection.DEGREE_TO_FIT_TO_LINES)
best_fit = numpy.poly1d(best_fit_coef)
residuals = numpy.linalg.norm(
(best_fit(data[:, 1]) - data[:, 0]).reshape(len(data), 1),
axis=1)
residuals_std_dev = numpy.std(residuals)
mean_centered_residuals = residuals - numpy.mean(residuals)
return best_fit, mean_centered_residuals, residuals_std_dev
for iter in range(max_iterations):
best_fit, mean_centered_residuals, residuals_std_dev = line_of_best_fit(
points)
points_to_keep = mean_centered_residuals <= reject_outside_n_std_devs * residuals_std_dev
if self.debug:
plot.bar(numpy.arange(mean_centered_residuals.shape[0]),
mean_centered_residuals)
plot.show()
time.sleep(7.5)
if numpy.all(points_to_keep): # no points to remove, break early
break
else: # we have points to remove -> remove them
points = points[points_to_keep]
best_fit, mean_centered_residuals, residuals_std_dev = line_of_best_fit(
points)
points = points[
mean_centered_residuals <=
max_residual] # enforce a hard limit on the maximum residual
return points
def fit_lane_to_points(self, points, polynomial_degree: int = DEGREE_TO_FIT_TO_LINES)\
-> numpy.array:
# predict x from y coordinate
left_points, right_points = points
left_lane = numpy.polyfit(left_points[:, 1],
left_points[:, 0],
deg=polynomial_degree)
right_lane = numpy.polyfit(right_points[:, 1],
right_points[:, 0],
deg=polynomial_degree)
polyfit_lanes = numpy.array([left_lane, right_lane])
# find the inverse function - i.e. convert so that y is the dependant variable
# since there is no generic solution for finding an inverse function, we do it on a case by case basis
# only polynomial_degree == 1 is implemented as a higher order polynomial is never fitted to the data
if polynomial_degree == 1:
lanes = numpy.ones_like(polyfit_lanes)
for i, lane in enumerate(polyfit_lanes):
lanes[i] /= lane[0] # m_new = 1/m_old
lanes[i][1] *= -lane[1] # b_new = -b_old/m_old
else:
raise NotImplementedError(
'Finding the inverse function for polynomial of degree {deg} has not been implemented yet'
.format(deg=polynomial_degree))
return lanes
def _display_points(self,
image,
points,
radius: int = 5,
color: tuple[int, int, int] = (255, 0, 255),
display_overlay: bool = True,
overlay_name: str = 'Points') -> numpy.array:
points_image = numpy.zeros_like(image)
for point in points:
cv2.circle(points_image, tuple(point), radius, color, -1)
if display_overlay:
self._add_knot(overlay_name, points_image, hls=False)
return points_image
def _run(self, frame):
"""
Histogram Peak Detection is run on the frame to detect the lane lines
This method handles detecting the lines, drawing them, and passing them to the lane departure algorithm
*insert more info about Histogram Peak Detection here*
:param frame: the current frame of the capture
:return: void
"""
frame = numpy.copy(frame)
self._add_knot('Raw', frame)
hls = cv2.cvtColor(frame, cv2.COLOR_RGB2HLS)
# apply gaussian blur, reducing noise in grayscale image, reducing the effect of undesired lines
blurred = cv2.GaussianBlur(
hls, HistogramPeakDetection.settings.gaussian_blur.kernel_size,
HistogramPeakDetection.settings.gaussian_blur.deviation)
self._add_knot('Gaussian Blur', blurred, hls=True)
hls_64f = blurred.astype(numpy.float)
h_channel = hls_64f[:, :, 0]
l_channel = hls_64f[:, :, 1]
s_channel = hls_64f[:, :, 2]
# Negative slopes will be ignored if using uint8, thus, we run the sobel filter over a float image and convert later
sobelx_64f = cv2.Sobel(l_channel, cv2.CV_64F, 1, 0, ksize=5)
abs_sobelx_64f = numpy.absolute(sobelx_64f)
sobelx = numpy.uint8(abs_sobelx_64f)
sobelx_scaled = numpy.uint8(255 * (sobelx / numpy.max(sobelx)))
self._add_knot('Sobel X', sobelx_scaled, hls=False)
sobel_filter_mask = self.filter_thresholds(sobelx_scaled, (125, 255))
self._add_knot('Sobel Filter Mask', sobel_filter_mask)
sobel_filtered = cv2.bitwise_and(sobelx_scaled, sobel_filter_mask)
self._add_knot('Sobel Filtered', sobel_filtered)
s_channel = s_channel.astype(numpy.uint8)
self._add_knot('Saturation Channel', s_channel)
saturation_filter_mask = self.filter_thresholds(s_channel, (6, 85))
self._add_knot('Saturation Filter Mask', saturation_filter_mask)
saturation_filtered = cv2.bitwise_and(s_channel,
saturation_filter_mask)
self._add_knot('Saturation Filtered', saturation_filtered)
combined_filter = sobel_filter_mask & saturation_filter_mask
self._add_knot('Combined Filters', combined_filter)
# fill contours in combined filters
contours = cv2.findContours(combined_filter, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]
for contour in contours:
cv2.drawContours(combined_filter, [contour], -1, (255, 255, 255),
-1)
self._add_knot('Filled Contours Combined Filters', combined_filter)
masked = region_of_interest(self, combined_filter)
self._add_knot('Region Of Interest Mask', masked)
# do the 'Histogram Peak Detection'
left_points, right_points = self.get_histogram_peak_points(masked)
combined_points = [*left_points, *right_points]
# display the detected points on the image
masked_image_rgb = cv2.cvtColor(masked, cv2.COLOR_GRAY2RGB)
self._display_points(masked_image_rgb,
left_points,
color=(255, 255, 0),
overlay_name='Detected Left Points')
self._display_points(masked_image_rgb,
right_points,
color=(0, 255, 255),
overlay_name='Detected Right Points')
points_image = self._display_points(masked_image_rgb,
combined_points,
display_overlay=False)
detected_points_result = cv2.addWeighted(masked_image_rgb, 0.5,
points_image, 1, 0)
self._add_knot('Detected Points Result', detected_points_result)
# filter the points to remove 'incorrect' detections
left_points = self.filter_points(left_points)
right_points = self.filter_points(right_points)
combined_points = [*left_points, *right_points]
left_points_image = self._display_points(
masked_image_rgb,
left_points,
color=(255, 255, 0),
overlay_name='Filtered Left Points')
right_points_image = self._display_points(
masked_image_rgb,
right_points,
color=(0, 255, 255),
overlay_name='Filtered Right Points')
points_image = self._display_points(masked_image_rgb,
combined_points,
display_overlay=False)
detected_points_result = cv2.addWeighted(masked_image_rgb, 0.5,
points_image, 1, 0)
self._add_knot('Filtered Points Result', detected_points_result)
lanes = self.fit_lane_to_points((left_points, right_points))
display_lanes(frame,
numpy.array([lanes[0]]),
self._add_knot,
overlay_name='Left Lane')
display_lanes(frame,
numpy.array([lanes[1]]),
self._add_knot,
overlay_name='Right Lane')
lane_image = display_lanes(frame, lanes, self._add_knot)
detected_lanes_result = cv2.addWeighted(frame, 0.75, lane_image, 1, 0)
detected_lanes_result = cv2.addWeighted(detected_lanes_result, 1,
left_points_image, 1, 0)
detected_lanes_result = cv2.addWeighted(detected_lanes_result, 1,
right_points_image, 1, 0)
self._add_knot('Detected Lanes Result', detected_lanes_result)
lanes = self._historic_fill.get(lanes)
lane_image = display_lanes(frame,
lanes,
self._add_knot,
overlay_name='Historic Filtered')
detected_lanes_result = cv2.addWeighted(frame, 0.75, lane_image, 1, 0)
self._add_knot('Historic Filtered Result', detected_lanes_result)
self._add_lanes(lanes)
"""
import os
import imp
import sys
import time
APP_PATH = os.path.realpath('%s/..' %
os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, '%s/../lib' % APP_PATH)
import settings
import initializer
import translation
from bgcalc.stderr2f import stderr_redirector
settings.load(os.path.join(APP_PATH, 'conf', 'config.xml'))
if settings.get('global', 'manatee_path', None):
sys.path.insert(0, settings.get('global', 'manatee_path'))
import manatee
os.environ['MANATEE_REGISTRY'] = settings.get('corpora', 'manatee_registry')
initializer.init_plugin('db')
initializer.init_plugin('sessions')
initializer.init_plugin('auth')
initializer.init_plugin('conc_cache')
initializer.init_plugin('query_storage')
initializer.init_plugin('conc_persistence')
initializer.init_plugin('sessions')
initializer.init_plugin('user_items')
initializer.init_plugin('corparch')
initializer.init_plugin('token_connect', optional=True)
parser.add_argument('-d', '--data-only', metavar='DATA_ONLY', action='store_const', const=True)
parser.add_argument('-c', '--create-if-none', metavar='CREATE_IF_NONE',
action='store_const', const=True)
parser.add_argument('-j', '--json-out', metavar='JSON_OUT', type=str,
help='A directory where corpus installation JSON should be stored')
parser.add_argument('-r', '--reg-path', type=str, default='',
help='Path to registry files')
parser.add_argument('-a', '--variant', type=str,
help='Try to search for alternative registry in a directory with this name')
parser.add_argument('-v', '--verbose', action='store_const', const=True,
help='Print some additional (error) information')
parser.add_argument('-y', '--dry-run', action='store_const', const=True,
help='No actual database operation will be performed. SQL queries will be printed.')
args = parser.parse_args()
import settings
settings.load(args.conf_path)
if args.dry_run:
db = DummySQL()
else:
db = MySQL(MySQLConf(settings))
if args.schema_only:
prepare_tables(db)
else:
reg_path = args.reg_path if args.reg_path else settings.get('corpora', 'manatee_registry')
shared = DummyShared() if args.dry_run else Shared(reg_path=reg_path)
ijson = InstallJsonDir(args.json_out)
parse_corplist(path=args.corplist, db=db, shared=shared, json_out=ijson,
variant=args.variant, verbose=args.verbose, data_only=args.data_only,
create_if_none=args.create_if_none)
ijson.write()
db.commit()
# Title: main.py
# this is the main file of exectuion
# import file # imaginary import modeling code directly after perl version
import project
import settings # imginary import of settings
import os;
from languageDir import *; # import all language parsers.
import lang;
#import topics
#import builder
if __name__ == "__main__": # start point of python interpeter.
args = settings.load();
# languages.load();
# topics.load();
# project.loadConfigFileInfo();
# print 'starting normal_docs'
oldTimes = project.getOldFileTimes(args);
curTimes = project.getCurrentFileTimes(args);
ParseList = project.cmpFileTimes(curTimes,oldTimes);
project.updateModTimes(curTimes,args);
print("now filtering the ParseList");
project.filterParseList(ParseList);
print ParseList;
for sourceFile in ParseList:
lang_parser = lang.langRegister().languageOf(sourceFile);
lang_parser.ParseFile(sourceFile);
import model
import settings
urls = (
r'/artists/', 'controllers.artists.List',
r'/artists/(.+)/tracks/', 'controllers.artists.Tracks',
r'/artists/(.+)/albums/', 'controllers.artists.Albums',
r'/artists/(.+)/albums/(.+)/tracks', 'controllers.artists.AlbumTracks',
r'/tracks/', 'controllers.tracks.List',
)
def check_modified(handler):
web.http.expires(300)
web.http.modified(etag=model.datastore_state_tag())
return handler()
# Load our settings
settings.load("choonweb.conf")
# Connect to Mongo
model.connect()
app = web.application(urls, globals())
# As we're only a read only reflection of Mongo every can be checked against
# our MongoDB state
app.add_processor(check_modified)
if __name__ == '__main__':
app.run()
import action
import user
import iptv
#####################################################################
# Prerequisites #
#####################################################################
settings_file = '.settings.conf'
users_file = '.users.json'
handlers_dir = 'actions/'
# Table for global data storing
public = table.Table()
# Load settings
config = settings.load(settings_file)
# Load users list
users = user.UserStore(users_file)
# Load action handlers
actions = action.ActionStore()
actions.load(handlers_dir)
#####################################################################
# XMPP specific methods #
#####################################################################
def handleKnownUser(connection, message, params):
data = params.data
user = params.self
handler, match = actions.select(data, user.access or 0)
import sys
import time
try:
import cPickle as pickle
except ImportError:
import pickle
CURR_PATH = os.path.realpath(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, '%s/lib' % CURR_PATH)
import settings
import initializer
import plugins
import translation
from bgcalc.stderr2f import stderr_redirector
settings.load('%s/conf/config.xml' % CURR_PATH)
if settings.get('global', 'manatee_path', None):
sys.path.insert(0, settings.get('global', 'manatee_path'))
import manatee
os.environ['MANATEE_REGISTRY'] = settings.get('corpora', 'manatee_registry')
initializer.init_plugin('db')
initializer.init_plugin('sessions')
initializer.init_plugin('auth')
initializer.init_plugin('conc_cache')
initializer.init_plugin('query_storage')
initializer.init_plugin('conc_persistence')
initializer.init_plugin('sessions')
initializer.init_plugin('user_items')
initializer.init_plugin('corparch')
initializer.init_plugin('live_attributes', optional=True)
ERROR = "ERROR"
SUCCESS = "SUCCESS"
SKIP = "SKIP"
REJECT = "REJECT"
UNKNOWN = "UNKNOWN"
def codi_sortida(estat):
return (0 if estat == SUCCESS or estat == SKIP else 1)
if __name__ == '__main__':
a = None
opts, args = getopt.getopt(sys.argv[1:], 'c:')
for o, a in opts:
if o == '-c':
settings.load(a)
logging.basicConfig(
filename=settings.get("log_file"),
level=settings.get("log_level"),
format='%(asctime)s [%(process)d] %(name)-12s'
' %(levelname)-8s %(message)s'
)
buffer_logs = StringIO()
logger.addHandler(logging.StreamHandler(buffer_logs))
if a is not None:
logger.info("Fitxer de configuracio [%s]", a)
estat = UNKNOWN
+ ' --pipeline_config_path=' + settings['paths']['updated_config']
)
def export(settings):
os.system('python ' + settings['paths']['export_script'] \
+ ' --input_type image_tensor' \
+ ' --pipeline_config_path ' + settings['dirs']['output'] + '/pipeline.config' \
+ ' --trained_checkpoint_prefix ' + settings['dirs']['output'] + '/model.ckpt-' + str(settings['config']['train_config']['num_steps']) \
+ ' --output_directory ' + settings['dirs']['tuned_models']
)
if __name__ == '__main__':
print 'Loading settings'
settings = settings.load('settings.yaml')
print 'Creating directories'
create_dirs(settings)
print 'Downloading the base model'
download_base_model(settings)
print 'Generating "pipeline.config"'
populate_config(settings)
print 'Downloading the dataset'
download_dataset(settings)
print 'Generating TFRecords for object_detection framework'
training_output = settings['config']['train_input_reader'][
parser.add_argument('-s',
'--test-setuid',
action='store_true',
default=False,
help='test setuid for files/directories')
parser.add_argument('-u',
'--webserver-user',
type=str,
default='www-data',
help='A system user a webserver runs under.')
parser.add_argument('-g',
'--webserver-group',
type=str,
default='www-data',
help='A system group a webserver runs under.')
args = parser.parse_args()
settings.load(args.config_file)
finfo = FileInfo(args.test_setuid,
webserver_user=args.webserver_user,
webserver_group=args.webserver_group,
config_path=args.config_file)
print('--------------------------------------')
for test in TESTS:
print('')
print('\n'.join(test(finfo)))
print('\n--------------------------------------')
print('Total number of tests: {0}'.format(len(SCORE)))
print('Number of failed tests: {0}'.format(
len(filter(lambda x: x is False, SCORE))))
print('')
controller_class = self.load_controller_class(environ['PATH_INFO'])
app = controller_class(request=request, ui_lang=ui_lang)
status, headers, sid_is_valid, body = app.run()
response = Response(response=body, status=status, headers=headers)
if not sid_is_valid:
curr_data = dict(request.session)
request.session = sessions.new()
request.session.update(curr_data)
request.session.modified = True
if request.session.should_save:
sessions.save(request.session)
response.set_cookie(sessions.get_cookie_name(), request.session.sid)
return response(environ, start_response)
settings.load(path=CONF_PATH)
if settings.get('global', 'manatee_path', None):
sys.path.insert(0, settings.get('global', 'manatee_path'))
# please note that some environments may provide umask setting themselves
if settings.get('global', 'umask', None):
os.umask(int(settings.get('global', 'umask'), 8))
if not settings.get_bool('global', 'maintenance'):
application = KonTextWsgiApp()
else:
application = MaintenanceWsgiApp()
robots_path = os.path.join(os.path.dirname(__file__), 'files/robots.txt')
if os.path.isfile(robots_path):
dest="keys",
default="",
help="comma-separated list of keys to use in query")
parser.add_option("-p",
"--private",
dest="private",
default=False,
action="store_true",
help="request only private results")
opts, args = parser.parse_args()
if len(args) != 1:
parser.print_help()
sys.exit(1)
s.conf = s.load(args[0])
# set up readline
HISTFILE = os.path.expanduser('~/.smap-query-history')
readline.parse_and_bind('tab: complete')
readline.parse_and_bind('set editing-mode emacs')
if hasattr(readline, "read_history_file"):
try:
readline.read_history_file(HISTFILE)
except IOError:
pass
atexit.register(readline.write_history_file, HISTFILE)
cp = adbapi.ConnectionPool(s.conf['database']['module'],
host=s.conf['database']['host'],
database=s.conf['database']['db'],
from uuid import uuid4
import json
import os
import re
from bottle import Bottle, redirect, request, response, static_file, template
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.asymmetric import rsa
import fakeredis
import jwt
import redis
import settings
DIR = os.path.dirname(os.path.abspath(__file__))
SETTINGS = settings.load()
if SETTINGS['RedisURL']:
REDIS = redis.StrictRedis.from_url(SETTINGS['RedisURL'])
else:
REDIS = fakeredis.FakeStrictRedis() # <-- Only suitable for local testing
app = Bottle()
# HTTP Routes ----------------------------------------------------------------
@app.get('/')
def index():
"""Render the homepage."""
def get_db(conf):
return redis.StrictRedis(host=conf['default:host'],
port=int(conf['default:port']),
db=int(conf['default:id']))
if __name__ == '__main__':
import argparse
argparser = argparse.ArgumentParser(description="RedisDB clean-up utility")
argparser.add_argument(
'clean_what',
metavar="ACTION",
help="what item group should be cleaned (session, concordance)")
args = argparser.parse_args()
patterns = {'session': 'session:*', 'concordance': 'concordance:*'}
if not args.clean_what in patterns:
raise ValueError('Unknown action: %s' % args.clean_what)
settings.load('%s/conf/config.xml' % app_path)
db = get_db(settings.get('plugins', 'db'))
keys = db.keys(patterns[args.clean_what])
i = 0
for key in keys:
db.delete(key)
print(('deleted: %s' % key))
i += 1
print(('Finished deleting %d keys' % i))
import settings
def get_db(conf):
return redis.StrictRedis(host=conf['default:host'], port=int(conf['default:port']), db=int(conf['default:id']))
if __name__ == '__main__':
import argparse
argparser = argparse.ArgumentParser(description="RedisDB clean-up utility")
argparser.add_argument('clean_what', metavar="ACTION", help="what item group should be cleaned (session, concordance)")
args = argparser.parse_args()
patterns = {
'session': 'session:*',
'concordance': 'concordance:*'
}
if not args.clean_what in patterns:
raise ValueError('Unknown action: %s' % args.clean_what)
settings.load('%s/conf/config.xml' % app_path)
db = get_db(settings.get('plugins', 'db'))
keys = db.keys(patterns[args.clean_what])
i = 0
for key in keys:
db.delete(key)
print('deleted: %s' % key)
i += 1
print('Finished deleting %d keys' % i)
def write_pauses(pauses, folder):
with open(path.join(folder, "pauses.csv"), "w") as pause_file:
pause_file.write("\n".join("%i\t%f\t%f" % pause for pause in pauses))
def inject_pauses(settings, output_folder, count):
pauses = generate_pauses(settings["size"], count, settings["time"])
write_pauses(pauses, output_folder)
settings["pauses"] = pauses
def spawn_simulation(infile, pauses, outfolder):
settings = load(infile)
write_pauses(pauses, outfolder)
settings["pauses"] = pauses
experiment = ExperimentSet(settings, outfolder)
experiment.run()
if __name__ == "__main__":
temp = load("pauses_run_1.json")
pauses = generate_pauses(temp["size"], 120, temp["time"])
pool = Pool(6)
pool.apply_async(spawn_simulation, ("pauses_run_1.json", pauses, "pauses_run_1"))
pool.apply_async(spawn_simulation, ("pauses_run_2.json", pauses, "pauses_run_2"))
pool.apply_async(spawn_simulation, ("pauses_run_3.json", pauses, "pauses_run_3"))
pool.apply_async(spawn_simulation, ("pauses_run_4.json", pauses, "pauses_run_4"))
pool.apply_async(spawn_simulation, ("pauses_run_5.json", pauses, "pauses_run_5"))
pool.apply_async(spawn_simulation, ("pauses_run_6.json", pauses, "pauses_run_6"))
pool.close()
pool.join()
#!/usr/bin/python
from settings import load
from experiment import ExperimentSet
import traceback, sys, os
if __name__ == "__main__":
# Read arguments
try:
settingsfile = sys.argv[1]
print "Settings file: " + settingsfile
except IndexError:
print "Bad parameters, should be 'python engine.py settingsfile'"
quit()
# Generate variables
settings = load(settingsfile)
# Create and run the experiment
experiments = ExperimentSet(settings)
experiments.run()
print "Experiments concluded :)"
APP_PATH = os.path.realpath('%s/..' % AUTOCONF_PATH)
sys.path.insert(0, '%s/lib' % APP_PATH)
DEFAULT_LOG_FILE_SIZE = 1000000
DEFAULT_NUM_LOG_FILES = 5
# this specifies recommended argument values for setting logging level from command line
LOG_LEVELS = OrderedDict(
[('debug', logging.DEBUG), ('info', logging.INFO), ('warning', logging.WARNING),
('error', logging.ERROR), ('critical', logging.CRITICAL)]
)
DEFAULT_LOG_OUT = sys.stderr
import settings
settings.load('%s/conf/config.xml' % APP_PATH)
logger = logging.getLogger('kontext_script')
def setup_logger(log_path=None, logger_name=None, logging_level=None):
"""
Configures logging (= module's logger variable).
arguments:
log_path -- path to a file where log will be written; if omitted then stdout is used
logger_name -- a name to be used for logger (by default it is 'kontext_script')
"""
if logger_name is not None:
logger.name = logger_name
def setUp(self):
settings.load(conf_path)
def build_model(self, pos=None, *posi):
from modeltest import ModelTest
self.position_model = model.TreeModel(position.build_positions(settings.load('quotes.json')))
-si, --splitinto: number of files the source archive should be split into. If not specified, the number of files is
determined based on the archive rows limit config value
-c, --clear: delete all files from the archives directory before splitting
-v, --verbose: verbose mode
"""
import argparse
import os
import sys
sys.path.insert(0, os.path.realpath(os.path.join(os.path.dirname(__file__), '../../../../lib')))
from plugins.ucnk_conc_persistence3 import ArchMan
import settings
conf_path = os.path.realpath(os.path.join(os.path.dirname(__file__), '../../../../conf/config.xml'))
settings.load(conf_path)
plugin_conf = settings.get('plugins', 'conc_persistence3')
db_path = plugin_conf.get('ucnk:archive_db_path')
rows_limit = int(plugin_conf.get('ucnk:archive_rows_limit'))
arch_man = ArchMan(db_path, rows_limit)
parser = argparse.ArgumentParser()
parser.add_argument("source_archive", help="full path to the source archive db file")
parser.add_argument("-si", "--splitinto", help="number of files the source archive should be split into")
parser.add_argument("-c", "--clear", action="store_true", help="clear the archives directory before splitting")
parser.add_argument("-v", "--verbose", action="store_true", help="verbose mode")
args = parser.parse_args()
source_path = args.source_archive
if not os.path.exists(source_path):
def run(checkupdate=False):
import sys,os
if "--help" in sys.argv or "-h" in sys.argv or "-?" in sys.argv or "/?" in sys.argv:
print "%s -run 'path/to/game' : run a game directly"%(sys.argv[0],)
print "%s -text : text mode, no graphics created, must use -run"%(sys.argv[0],)
sys.exit()
#Check for updates!
newengine = None
if checkupdate:
import libupdate
eng = libupdate.Engine()
libupdate.screen.blit(arial14.render("Checking for Updates...",1,[255,255,255]),[0,0])
pygame.display.flip()
libupdate.root.start_index = 0
try:
assets.threads = [eng.Update_PyWright(thread=True)]
pygame.event.clear()
pygame.event.pump()
while libupdate.list.status_box.text=="Fetching data from server...":
libupdate.screen.fill([0,0,0])
libupdate.screen.blit(arial14.render("Checking for Updates... (Click to cancel)",1,[255,255,255]),[0,0])
pygame.display.flip()
for e in pygame.event.get():
if e.type == pygame.MOUSEBUTTONDOWN:
libupdate.list.status_box.text = "cancelled"
libupdate.screen.fill([0,0,0])
if libupdate.list.status_box.text == "cancelled":
libupdate.screen.blit(arial14.render("Cancelled checking for updates",1,[255,255,255]),[0,0])
else:
libupdate.screen.blit(arial14.render("Finished checking for updates",1,[255,255,255]),[0,0])
pygame.display.flip()
for pane in libupdate.list.children[2:]:
c = pane.children[1].children[0]
if isinstance(c,gui.checkbox):
c.checked = True
libupdate.Engine.quit_threads = 0
libupdate.screen.blit(arial14.render("Doing update to "+c.text,1,[255,255,255]),[0,20])
pygame.display.flip()
eng.do_update(output=True)
goodkeys = "copy_reg,sre_compile,locale,_sre,__main__,site,__builtin__,\
operator,encodings,os.path,encodings.encodings,encodings.cp437,errno,\
encodings.codecs,sre_constants,re,ntpath,UserDict,nt,stat,zipimport,warnings,\
encodings.types,_codecs,encodings.cp1252,sys,codecs,types,_types,_locale,signal,\
linecache,encodings.aliases,exceptions,sre_parse,os,goodkeys,k,core,libengine".split(",")
for k in sys.modules.keys():
if k not in goodkeys:
del sys.modules[k]
import core as core2
reload(core2)
import libengine as le2
reload(le2)
newengine = le2.run
break
except SystemExit:
sys.exit()
#~ except:
#~ pass
if newengine:
newengine()
sys.exit()
assets.init_sound()
pygame.display.init()
settings.load(assets)
game = "menu"
scene = "intro"
if sys.argv[1:] and sys.argv[2:]:
game = sys.argv[1]
scene = sys.argv[2]
assets.game = game
assets.items = []
running = True
text_only = False
if "-text" in sys.argv:
text_only = True
assets.Script = debug_script.TextScript
os.environ["SDL_VIDEODRIVER"] = "dummy"
assets.make_screen()
assets.make_start_script()
if "-run" in sys.argv:
def ms(*args):
print "make_start_script to exit"
sys.exit()
assets.make_start_script = ms
assets.stack = []
assets.start_game(sys.argv[sys.argv.index("-run")+1])
import time
lt = time.time()
ticks = 0
fr = 0
#~ import time
#~ end = time.time()+5
#~ while time.time()<end:
#~ pass
#~ sys.exit()
laststack = []
if android:
android.map_key(android.KEYCODE_MENU, pygame.K_ESCAPE)
android.map_key(android.KEYCODE_BACK, pygame.K_SPACE)
def androidpause():
if android:
if android.check_pause():
assets.save_game("android_pause",True)
android.wait_for_resume()
assets.next_screen = assets.screen_refresh
while running:
androidpause()
#~ ticks = time.time()-lt
#~ lt = time.time()
#~ while ticks<(1/(float(assets.variables.get("_framerate",60))+20.0)):
#~ if ticks: time.sleep(0.02)
#~ ticks += time.time()-lt
#~ lt = time.time()
#~ dt = ticks*1000.0
assets.dt = clock.tick(getattr(assets,"framerate",60))
assets.dt = min(assets.dt*.001*60,10.0)*assets.game_speed
pygame.display.set_caption("PyWright "+VERSION)
assets.cur_script.update()
script.interpret_scripts()
#~ if vtrue(assets.variables.get("_debug","false")):
#~ ns = assets.get_stack()
#~ if ns != laststack:
#~ laststack = ns
#~ print "^^^^^^^^^^^^^^^^^^^"
#~ for s in ns:
#~ print s
#~ print "vvvvvvvvvvvvvvvvvvvvvvv"
#~ print [[x,x.pri] for x in assets.cur_script.obs]
if not assets.cur_script: break
assets.next_screen -= assets.dt
[o.unadd() for o in assets.cur_script.obs if getattr(o,"kill",0) and hasattr(o,"unadd")]
for o in assets.cur_script.world.all[:]:
if getattr(o,"kill",0):
assets.cur_script.world.all.remove(o)
if assets.next_screen < 0:
pygame.screen.blit(pygame.blank,[0,0])
try:
assets.cur_script.draw(pygame.screen)
except (art_error,script_error),e:
import traceback
traceback.print_exc()
assets.cur_script.obs.append(error_msg(e.value,assets.cur_script.lastline_value,assets.cur_script.si,assets.cur_script))
if assets.flash:
try:
fl = flash()
assets.cur_script.obs.append(fl)
fl.ttl = assets.flash
if hasattr(assets,"flashcolor"):
fl.color = assets.flashcolor
except (art_error,script_error),e:
import traceback
traceback.print_exc()
assets.cur_script.obs.append(error_msg(e.value,assets.cur_script.lastline_value,assets.cur_script.si,assets.cur_script))
assets.flash = 0
assets.flashcolor = [255,255,255]
if assets.shakeargs != 0:
try:
assets.cur_script._shake("shake",*assets.shakeargs)
except (art_error,script_error),e:
import traceback
traceback.print_exc()
assets.cur_script.obs.append(error_msg(e.value,assets.cur_script.lastline_value,assets.cur_script.si,assets.cur_script))
assets.shakeargs = 0
import os
import sys
APP_PATH = os.path.realpath('%s/../..' % os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, '%s/lib' % APP_PATH)
import settings
from celery import Celery
settings.load(os.path.join(APP_PATH, 'conf', 'config.xml'))
import imp
conf_mod = imp.load_source('beatconfig', settings.get('job_scheduler', 'conf'))
app = Celery('kontext', config_source=conf_mod)
parser.add_option("-v", "--verbose", dest="verbose",
action="store_true", default=False,
help="print generated SQL")
parser.add_option("-k", "--keys", dest="keys",
default="",
help="comma-separated list of keys to use in query")
parser.add_option("-p", "--private", dest="private",
default=False, action="store_true",
help="request only private results")
opts, args = parser.parse_args()
if len(args) != 1:
parser.print_help()
sys.exit(1)
s.conf = s.load(args[0])
# set up readline
HISTFILE = os.path.expanduser('~/.smap-query-history')
readline.parse_and_bind('tab: complete')
readline.parse_and_bind('set editing-mode emacs')
if hasattr(readline, "read_history_file"):
try:
readline.read_history_file(HISTFILE)
except IOError:
pass
atexit.register(readline.write_history_file, HISTFILE)
cp = adbapi.ConnectionPool(s.conf['database']['module'],
host=s.conf['database']['host'],
database=s.conf['database']['db'],
import os, sys, ConfigParser, logging, signal, string, time
from daemon import runner
working_directory = os.path.dirname(os.path.realpath(__file__))
sys.path.insert(1, working_directory + '/classes')
sys.path.insert(1, working_directory + '/lib')
import settings
from irc import *
from blockupdate import *
from commands import *
# Load our local configuration
config = ConfigParser.RawConfigParser()
if not config.read(working_directory + '/conf/config.cfg'):
raise RuntimeError('Failed to load configuration: conf/config.cfg')
settings = settings.load(config)
# Ensure some paths exist
logfile = working_directory + '/' + config.get('Logging', 'file')
if not os.path.exists(os.path.dirname(logfile)):
os.makedirs(os.path.dirname(logfile))
# Setup logging according to configuration
numeric_level = getattr(logging, config.get('Logging', 'level').upper(), None)
formatter = config.get('Logging', 'format')
if not isinstance(numeric_level, int):
raise ValueError('Invalid log level: %s' % config.get('Logging', 'level'))
logging.basicConfig(format=formatter, level=numeric_level)
logFormatter = logging.Formatter(formatter)
logger = logging.getLogger('bot')
fh = logging.FileHandler(logfile)