def __init__(self, parent=None):
super(MainWindow, self).__init__(parent)
self.setupUi(self)
self.action_system_quit.triggered.connect(self.on_exit)
self.action_system_restart.triggered.connect(self.on_restart)
self.action_system_start.triggered.connect(self.on_start)
self.action_cmd.triggered.connect(self.show_cmd)
self.action_file.triggered.connect(self.show_file)
self.action_process.triggered.connect(self.show_process)
self.action_ctlSettings.triggered.connect(
self.show_controller_settings)
self.action_svrSettings.triggered.connect(self.show_server_settings)
self.table.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch)
self.table.setEditTriggers(QAbstractItemView.NoEditTriggers)
self.table.setSelectionBehavior(QAbstractItemView.SelectRows)
self.table.customContextMenuRequested.connect(self._right_menu)
XStream.stdout().messageWritten.connect(self.textEdit.insertPlainText)
XStream.stderr().messageWritten.connect(self.textEdit.insertPlainText)
logger.info('[*] Load system config')
self.conf = Config('system.ini')
self.system = None
self.thread_pool = QThreadPool()
self.process = QProcess(self)
self.process.readyRead.connect(self.data_ready)
# self.process.waitForStarted(1)
self.process.started.connect(lambda: self.write_data('help'))
self.process.error.connect(self.on_error)
# self.textEdit.textChanged.connect(lambda: self.write_data(self.textEdit.document()))
# self.textEdit.textChanged.connect(lambda: print(self.textEdit.toPlainText()))
# self.process.finished.connect(lambda: self.runButton.setEnabled(True))
self.process_manager = WorkerManager(max_threads=4)
import pandas as pd
from controller.config import Config
from controller.data_label_utils import get_all_sentiment_labels
from controller.database_service import DatabaseService
from controller.ml_utils import MLUtils
config = Config()
dbs = DatabaseService(config)
# get databases
collection_names = ['sickhillary', 'baghdadi_dead', 'death_hoax']
# declare test parameters
description = "Experiment 2"
n_iterations_per_classifier = 100
test_ratio = 0.2
target_label = "tweet_sentiment_label"
classifier_dict = MLUtils.get_classifiers_standard_suite()
features_tested_dict = {'feature_nlp_afinn_swn': MLUtils.gen_feature_afinn_swn,
'feature_nlp_pos': MLUtils.gen_feature_pos,
'feature_term_tfidf': MLUtils.gen_feature_term_tfidf}
ml_collections_result = {}
# iterate through collections
for collection_name in collection_names:
print("Collection: " + collection_name)
# get labelled tweets (unique)
mongo_search_query = {"tweet_sentiment_label": {"$exists": True}}
mongo_filter_query = {"text": 1, "tweet_type": 1, "tweet_sentiment_label": 1}
mongo_filter_query.update({label: 1 for label in get_all_sentiment_labels()})
print " || || |___| "
print " ___||_____||____|_____|____"
print ""
print "############################"
print ""
if __name__ == '__main__':
# Moveit! initialise and init node
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('cobra_towers_of_hanoi', anonymous=True)
# welcome screen
show_tower_of_hanoi()
config = Config(MAX_GRIPPER, NUMBER_OF_DISKS, DISK_HEIGHT, TOWER_HEIGHT,
TOWER_POSITION, DIFFERENT_HEIGHT_OF_TOWERS, DEBUG)
# configure and initialise objects
controller = Controller(config, DEBUG)
# initialise planning scene
world = World(controller.tower_array, controller.disk_array, config, DEBUG)
# remove old objects from scene
world.clean_up()
# add new objects
world.create_planning_scene()
# start the game
controller.tower_of_hanoi(world)