import time
import cv2 as cv
import matplotlib.image as mpimg
import numpy as np
from skimage.feature import hog
from configuration import Configuration
config = Configuration().__dict__
class FeatureExtraction:
@staticmethod
def bin_spatial(img, size=(32, 32)):
color1 = cv.resize(img[:, :, 0], size).ravel()
color2 = cv.resize(img[:, :, 1], size).ravel()
color3 = cv.resize(img[:, :, 2], size).ravel()
return np.hstack((color1, color2, color3))
@staticmethod
def color_hist(img, nbins=32): # bins_range=(0, 256)
# Compute the histogram of the color channels separately
channel1_hist = np.histogram(img[:, :, 0], bins=nbins)[0]
channel2_hist = np.histogram(img[:, :, 1], bins=nbins)[0]
channel3_hist = np.histogram(img[:, :, 2], bins=nbins)[0]
# Concatenate the histograms into a single feature vector
hist_features = np.concatenate(
(channel1_hist, channel2_hist, channel3_hist))
# Return the individual histograms, bin_centers and feature vector
return hist_features
import requests, json, os
from flask import Flask, request, jsonify
from configuration import Configuration
from CustomJSONEncoder import CustomJSONEncoder
app = Flask(__name__)
app.json_encoder = CustomJSONEncoder
configuration = Configuration()
##Test if application is up
@app.route('/')
def index():
return "Test page the program is running. Consumer."
##Test function to read customer
@app.route('/events', methods=['GET'])
def getEvents():
eventData = getFromEventStore(-1)
return jsonify(eventData), 200
##Test function to read customer
@app.route('/events/<int:event_id>', methods=['GET'])
def getEventByID(event_id):
eventData = getFromEventStore(event_id)
return jsonify(eventData), 200
def getFromEventStore(eventID):
from configuration import Configuration
#test the configuration class:
#login credentials:
conf = Configuration()
us, pw = conf.getUsernamePassword('Laurenz')
#course entries:
print(us + ":" + pw)
id, date, place = conf.getCourseByName('GDPII')
print(str(id) + ", " + str(date) + " - " + str(place))
def __init__(self):
configuration = Configuration()
self.token_bot = configuration.config['TELEGRAM']['BOT_TOKEN']
self.admins = configuration.config["ADMINS"]
self.users_state = dict()
self.storage_helper = StorageHelper()
self.updater = Updater(self.token_bot, use_context=False)
dp = self.updater.dispatcher
dp.add_error_handler(on_error)
dp.add_handler(CommandHandler('start', self.start))
dp.add_handler(
ConversationHandler(
entry_points=[CommandHandler('newuser', self.new_user)],
states={
ASKED_NEW_USER:
[MessageHandler(Filters.forwarded, self.new_user_add)],
},
allow_reentry=True,
fallbacks=[CommandHandler('cancel', self.start)]))
dp.add_handler(
ConversationHandler(
entry_points=[
CommandHandler('statusers', self.change_status_user)
],
states={
ASKED_DEACTIVATE_USER: [
MessageHandler(Filters.command,
self.change_status_user_do)
],
},
allow_reentry=True,
fallbacks=[CommandHandler('cancel', self.start)]))
dp.add_handler(
ConversationHandler(
entry_points=[CommandHandler('newlink', self.new_link)],
states={
ASKED_NEW_LINK: [
MessageHandler(Filters.regex('^https://www.avito.ru/'),
self.new_link_add)
],
},
allow_reentry=True,
fallbacks=[CommandHandler('cancel', self.start)]))
dp.add_handler(
ConversationHandler(
entry_points=[CommandHandler('dellink', self.del_link)],
states={
ASKED_DEL_LINK: [
MessageHandler(Filters.regex('^/delparser'),
self.del_parser)
],
},
allow_reentry=True,
fallbacks=[CommandHandler('cancel', self.start)]))
dp.add_handler(
ConversationHandler(
entry_points=[CommandHandler('binduser', self.binduser)],
states={
ASKED_BIND_USER:
[MessageHandler(Filters.command, self.list_parser)],
ASKED_PARSER: [
MessageHandler(Filters.regex('^/bindparser'),
self.bind_parser),
MessageHandler(Filters.regex('^/unbindparser'),
self.unbind_parser)
]
},
allow_reentry=True,
fallbacks=[CommandHandler('cancel', self.start)]))
logging.info('Starting long poll')
self.updater.start_polling()
from controllers.game_api import GameApi from configuration import Configuration api = GameApi(Configuration()) print(api.getMissions())
def render(source, **kwargs):
template = Template(source.decode('utf-8'))
return template.render(kwargs)
def QString2str(qstring):
return str(qstring.toUtf8()).decode('utf-8')
g_pwd = '' #当前程序目录
g_templates = [] #当前所有可用模板列表
g_projects = [] #所有工程
g_configurations = Configuration() #用来渲染的配置数据
g_qt_library = [{
"name": "XML",
"qt": "xml",
"refer": False
}, {
"name": "SVG",
"qt": "svg",
"refer": False
}, {
"name": "Qml",
"qt": "qml",
"refer": False
}, {
"name": "Quick",
# h_time += te - ts
# ts = time.time()
if not frontier.hasValue(child):
frontier.enqueue(f_score[child], child)
# te = time.time()
# e_time += te - ts
return Stack()
if __name__ == "__main__":
from water_sort import create_puzzle, show, init
tubes = create_puzzle()
config = Configuration(tubes)
print(config)
# win = init(500, 400, "A-Star")
# config.draw(win)
# show(win)
ts = time.time()
sol = a_star(config, calculate_heuristic)
te = time.time()
# print(sol)
print("Solution found in {}".format(te - ts))
def radioState(self, b):
c = Configuration()
if b.text() == 'Gnome':
if b.isChecked() == True:
c.setSystem('gnome')
system = c.getSystem()
runCommand, terminalCommand, interpreterCommand = self.getCommands(
c, system)
self.changeLineEdit(runCommand, terminalCommand,
interpreterCommand)
if b.text() == 'Mate':
if b.isChecked() == True:
c.setSystem('mate')
system = c.getSystem()
runCommand, terminalCommand, interpreterCommand = self.getCommands(
c, system)
self.changeLineEdit(runCommand, terminalCommand,
interpreterCommand)
if b.text() == 'KDE':
if b.isChecked() == True:
c.setSystem('kde')
system = c.getSystem()
runCommand, terminalCommand, interpreterCommand = self.getCommands(
c, system)
self.changeLineEdit(runCommand, terminalCommand,
interpreterCommand)
if b.text() == 'xterm':
if b.isChecked() == True:
c.setSystem('xterm')
system = c.getSystem()
runCommand, terminalCommand, interpreterCommand = self.getCommands(
c, system)
self.changeLineEdit(runCommand, terminalCommand,
interpreterCommand)
if b.text() == 'Windows':
if b.isChecked() == True:
c.setSystem('windows')
system = c.getSystem()
runCommand, terminalCommand, interpreterCommand = self.getCommands(
c, system)
self.changeLineEdit(runCommand, terminalCommand,
interpreterCommand)
if b.text() == 'Mac OS':
if b.isChecked() == True:
c.setSystem('mac')
system = c.getSystem()
runCommand, terminalCommand, interpreterCommand = self.getCommands(
c, system)
self.changeLineEdit(runCommand, terminalCommand,
interpreterCommand)
self.view.show_menu()
user_choice = input('请输入以上选项：')
if user_choice == '1':
self.controller.add_student()
elif user_choice == '2':
self.controller.list_student()
elif user_choice == '3':
self.controller.remove_student()
elif user_choice == '4':
self.controller.modify_student()
elif user_choice == '5':
self.controller.sort_student(list_key='score', high2low=True)
elif user_choice == '6':
self.controller.sort_student(list_key='score', high2low=False)
elif user_choice == '7':
self.controller.sort_student(list_key='age', high2low=True)
elif user_choice == '8':
self.controller.sort_student(list_key='age', high2low=False)
elif user_choice == '9':
self.controller.save_students_list()
elif user_choice == '10':
self.controller.load_student_list()
elif user_choice == 'q':
break
else:
print('您的输入有误，请重新输入。')
m = Main(Configuration('configuration.jc'))
m.run()
import os, sys
from utils import *
from configuration import Configuration
writer = codecs.open(os.path.abspath(sys.argv[2]), 'w', encoding='utf-8')
for i, sen in enumerate(read_conll(os.path.abspath(sys.argv[1]))):
if is_projective([e.head for e in sen[1:]]):
conf = Configuration(sen)
while not conf.is_terminal_state():
act, l = conf.next_gold_action()
label = (act + ':' + l) if l else act
wf, pf, lf = conf.features()
writer.write(' '.join(wf) + ' ' + ' '.join(pf) + ' ' +
' '.join(lf) + ' ' + label + '\n')
conf.do(act, l)
if (i + 1) % 100 == 0: sys.stdout.write(str(i + 1) + '...')
writer.close()
print('done!')
def workflow(input_name,
input_type='video',
roi=None,
automatic_ap_creation=True):
"""
Execute the whole stacking workflow for a test case. This can either use a video file (.avi .mov .mp4 .ser)
or still images stored in a single directory.
:param input_name: Video file (.avi .mov .mp4 .ser) or name of a directory containing still images
:param input_type: Either "video" or "image" (see "input_name")
:param roi: If specified, tuple (y_low, y_high, x_low, x_high) with pixel bounds for "region
of interest"
:return: average, [average_roi,] color_image_with_aps, stacked_image
with: - average: global mean frame
- average_roi: mean frame restricted to ROI (only if roi is specified)
- color_image_with_aps: mean frame overlaid with alignment points and their
boxes (white) and patches (green)
"""
# Initalize the timer object used to measure execution times of program sections.
my_timer = timer()
# Images can either be extracted from a video file or a batch of single photographs. Select
# the example for the test run.
# For video file input, the Frames constructor expects the video file name for "names".
if input_type == 'video':
names = input_name
# For single image input, the Frames constructor expects a list of image file names for "names".
else:
names = [
os.path.join(input_name, name) for name in os.listdir(input_name)
]
stacked_image_name = input_name + '.stacked.tiff'
# The name of the alignment point visualization file is derived from the input video name or
# the input directory name.
ap_image_name = input_name + ".aps.jpg"
print(
"\n" +
"*************************************************************************************\n"
+ "Start processing " + str(input_name) +
"\n*************************************************************************************"
)
my_timer.create('Execution over all')
# Get configuration parameters.
configuration = Configuration()
configuration.initialize_configuration()
# Read the frames.
print("+++ Start reading frames")
my_timer.create('Read all frames')
try:
frames = Frames(configuration,
names,
type=input_type,
buffer_original=False,
buffer_monochrome=False,
buffer_gaussian=True,
buffer_laplacian=True)
print("Number of images read: " + str(frames.number))
print("Image shape: " + str(frames.shape))
except Error as e:
print("Error: " + str(e))
exit()
my_timer.stop('Read all frames')
# Rank the frames by their overall local contrast.
print("+++ Start ranking images")
my_timer.create('Ranking images')
rank_frames = RankFrames(frames, configuration)
rank_frames.frame_score()
my_timer.stop('Ranking images')
print("Index of best frame: " + str(rank_frames.frame_ranks_max_index))
# Initialize the frame alignment object.
align_frames = AlignFrames(frames, rank_frames, configuration)
if configuration.align_frames_mode == "Surface":
my_timer.create('Select optimal alignment patch')
# Select the local rectangular patch in the image where the L gradient is highest in both x
# and y direction. The scale factor specifies how much smaller the patch is compared to the
# whole image frame.
(y_low_opt, y_high_opt, x_low_opt,
x_high_opt) = align_frames.compute_alignment_rect(
configuration.align_frames_rectangle_scale_factor)
my_timer.stop('Select optimal alignment patch')
print("optimal alignment rectangle, y_low: " + str(y_low_opt) +
", y_high: " + str(y_high_opt) + ", x_low: " + str(x_low_opt) +
", x_high: " + str(x_high_opt))
# Align all frames globally relative to the frame with the highest score.
print("+++ Start aligning all frames")
my_timer.create('Global frame alignment')
try:
align_frames.align_frames()
except NotSupportedError as e:
print("Error: " + e.message)
exit()
except InternalError as e:
print("Warning: " + e.message)
my_timer.stop('Global frame alignment')
print("Intersection, y_low: " + str(align_frames.intersection_shape[0][0]) + ", y_high: "
+ str(align_frames.intersection_shape[0][1]) + ", x_low: " \
+ str(align_frames.intersection_shape[1][0]) + ", x_high: " \
+ str(align_frames.intersection_shape[1][1]))
# Compute the average frame.
print("+++ Start computing average frame")
my_timer.create('Compute reference frame')
average = align_frames.average_frame()
my_timer.stop('Compute reference frame')
print("Average frame computed from the best " +
str(align_frames.average_frame_number) + " frames.")
# If the ROI is to be set to a smaller size than the whole intersection, do so.
if roi:
print("+++ Start setting ROI and computing new average frame")
my_timer.create('Setting ROI and new reference')
average_roi = align_frames.set_roi(roi[0], roi[1], roi[2], roi[3])
my_timer.stop('Setting ROI and new reference')
# Initialize the AlignmentPoints object.
my_timer.create('Initialize alignment point object')
alignment_points = AlignmentPoints(configuration, frames, rank_frames,
align_frames)
my_timer.stop('Initialize alignment point object')
if automatic_ap_creation:
# Create alignment points, and create an image with wll alignment point boxes and patches.
print("+++ Start creating alignment points")
my_timer.create('Create alignment points')
# If a ROI is selected, alignment points are created in the ROI window only.
alignment_points.create_ap_grid()
my_timer.stop('Create alignment points')
print("Number of alignment points selected: " +
str(len(alignment_points.alignment_points)) +
", aps dropped because too dim: " +
str(alignment_points.alignment_points_dropped_dim) +
", aps dropped because too little structure: " +
str(alignment_points.alignment_points_dropped_structure))
else:
# Open the alignment point editor.
app = QtWidgets.QApplication(sys.argv)
alignment_point_editor = AlignmentPointEditorWidget(
None, configuration, align_frames, alignment_points, None)
alignment_point_editor.setMinimumSize(800, 600)
alignment_point_editor.showMaximized()
app.exec_()
print("After AP editing, number of APs: " +
str(len(alignment_points.alignment_points)))
count_updates = 0
for ap in alignment_points.alignment_points:
if ap['reference_box'] is not None:
continue
count_updates += 1
AlignmentPoints.set_reference_box(ap, alignment_points.mean_frame)
print("Buffers allocated for " + str(count_updates) +
" alignment points.")
# Produce an overview image showing all alignment points.
if roi:
color_image_with_aps = alignment_points.show_alignment_points(
average_roi)
else:
color_image_with_aps = alignment_points.show_alignment_points(average)
# For each alignment point rank frames by their quality.
my_timer.create('Rank frames at alignment points')
print("+++ Start ranking frames at alignment points")
alignment_points.compute_frame_qualities()
my_timer.stop('Rank frames at alignment points')
# Allocate StackFrames object.
stack_frames = StackFrames(configuration, frames, align_frames,
alignment_points, my_timer)
# Stack all frames.
print("+++ Start stacking frames")
stack_frames.stack_frames()
# Merge the stacked alignment point buffers into a single image.
print("+++ Start merging alignment patches")
stacked_image = stack_frames.merge_alignment_point_buffers()
# Save the stacked image as 16bit int (color or mono).
my_timer.create('Saving the final image')
Frames.save_image(stacked_image_name,
stacked_image,
color=frames.color,
header=configuration.global_parameters_version)
my_timer.stop('Saving the final image')
# Print out timer results.
my_timer.stop('Execution over all')
my_timer.print()
# Write the image with alignment points.
Frames.save_image(ap_image_name,
color_image_with_aps,
color=True,
header=configuration.global_parameters_version)
# If a ROI is selected, return both the original and the reduced-size average frame.
if roi:
return average, average_roi, color_image_with_aps, stacked_image
else:
return average, color_image_with_aps, stacked_image
def get_configuration(self):
if self.parsed_arguments is None:
self.parse_args()
self.configuration = Configuration(self.parsed_arguments)
return self.configuration
class LogService:
config = Configuration().doc_config_dict
INFO = logging.INFO
ERROR = logging.ERROR
DEBUG = logging.DEBUG
WARNING = logging.WARNING
CRITICAL = logging.CRITICAL
NOTSET = logging.NOTSET
FATAL = logging.FATAL
def __init__(self):
self.log_enable = None
self.log_file_name = None
self.only_save_once = None
self.log_level = None
self.log_format = None
self.logger = None
self.config_init()
self.init_log_setting()
def config_init(self):
self.log_enable = self.config['logSaveFlag']
self.log_file_name = self.config['logFileNameValue']
self.only_save_once = self.config['onlyOnceLogFlag']
self.log_level = self.config['logLevelValue']
self.log_format = self.config['logFormatterValue']
def log_for_call_method(self, log_level):
def log_method(fun):
def make_log(*args, **kwargs):
if self.log_enable:
params = ''
for arg in args:
params += f'{arg},'
for kwarg in kwargs:
params += f'{kwarg}={kwargs[kwarg]},'
self.log(fun.__qualname__ + f'({params[:-1]})执行',
log_level)
try:
ret = fun(*args, **kwargs)
except Exception as e:
# ttype, tvalue, ttraceback = sys.exc_info()
# traceback_str = ''
# for traceback_info in traceback.format_exception(ttype, tvalue, ttraceback):
# traceback_str += traceback_info
# print(ttype, tvalue, end="\n")
# i = 1
# while ttraceback:
# print("第{}层堆栈信息".format(i))
# tracebackCode = ttraceback.tb_frame.f_code
# print("文件名：{}".format(tracebackCode.co_filename))
# print("函数或者模块名：{}".format(tracebackCode.co_name))
# ttraceback = ttraceback.tb_next
# i += 1
# 等效
self.log(
fun.__qualname__ + f'({params[:-1]})' +
"调用出错，错误信息如下：\n" + traceback.format_exc(),
self.ERROR)
raise e
self.log(fun.__qualname__ + f'({params[:-1]})执行结束',
log_level)
return ret
return make_log
return log_method
def log(self, message, level):
if self.log_enable:
if level == self.ERROR:
self.logger.error(message)
if level == self.CRITICAL:
self.logger.critical(message)
if level == self.WARNING:
self.logger.warning(message)
if level == self.INFO:
self.logger.info(message)
if level == self.FATAL:
self.logger.fatal(message)
if level == self.DEBUG:
self.logger.debug(message)
def init_log_setting(self):
if self.log_enable:
logger = logging.getLogger('autoCheckMysql')
logger.setLevel(self.log_level)
log_file_handle = logging.FileHandler(
self.log_file_name,
'w' if self.only_save_once else 'a',
encoding='utf8')
log_file_handle.setLevel(self.log_level)
formatter = logging.Formatter(self.log_format)
log_file_handle.setFormatter(formatter)
logger.addHandler(log_file_handle)
self.logger = logger
exp_path = "experiments/%s" % exp_name
if not os.path.exists(exp_path):
os.makedirs(exp_path)
else:
print("Experiment %s already exists" % exp_name)
sys.exit()
file_names = ["data/data_batch_%d.bin" % i for i in range(1, 6)]
pipeline = ip.DataPipeline(file_names, batch_size=batch_size)
train_x, train_y = pipeline.get_batch_op()
config = Configuration(
input_size=3072,
output_size=10,
examples_per_epoches=examples_per_epoches,
batch_size=batch_size,
a_function=a_function
)
dropout = tf.placeholder(tf.float32)
global_step = tf.Variable(0, trainable=False)
convo_model = m.ConvoModel(config)
convo_model.initialize(train_x, dropout)
loss_op, train_op = convo_model.train_op(train_y, global_step)
with tf.Session() as session:
def __init__(self, builder, text: str) -> None:
self._builder = Configuration().handle_request(builder)
self._text: str = text
def get_configuration(db) -> Configuration:
config = Configuration(db)
return config
def main():
# print disclaimer
disclaimer.print_disclaimer()
# get the full path of configuration/ini file given in the system argument
iniFileName = os.path.abspath(sys.argv[1])
# debug option
debug_mode = False
if len(sys.argv) > 2:
if sys.argv[2] == "debug": debug_mode = True
# no modification in the given ini file, use it as it is
no_modification = True
# use the output directory as given in the system argument
if len(sys.argv) > 3 and sys.argv[3] == "--output_dir":
no_modification = False
output_directory = sys.argv[4]
# object to handle configuration/ini file
configuration = Configuration(iniFileName = iniFileName, \
debug_mode = debug_mode, \
no_modification = no_modification)
if no_modification == False:
configuration.main_output_directory = output_directory
configuration.globalOptions['outputDir'] = output_directory
configuration.set_configuration()
# timeStep info: year, month, day, doy, hour, etc
currTimeStep = ModelTime()
# object for spin_up
spin_up = SpinUp(configuration)
# spinningUp
noSpinUps = int(configuration.globalOptions['maxSpinUpsInYears'])
initial_state = None
if noSpinUps > 0:
logger.info('Spin-Up #Total Years: '+str(noSpinUps))
spinUpRun = 0 ; has_converged = False
while spinUpRun < noSpinUps and has_converged == False:
spinUpRun += 1
currTimeStep.getStartEndTimeStepsForSpinUp(
configuration.globalOptions['startTime'],
spinUpRun, noSpinUps)
logger.info('Spin-Up Run No. '+str(spinUpRun))
deterministic_runner = DeterministicRunner(configuration, currTimeStep, initial_state)
all_state_begin = deterministic_runner.model.getAllState()
dynamic_framework = DynamicFramework(deterministic_runner,currTimeStep.nrOfTimeSteps)
dynamic_framework.setQuiet(True)
dynamic_framework.run()
all_state_end = deterministic_runner.model.getAllState()
has_converged = spin_up.checkConvergence(all_state_begin, all_state_end, spinUpRun, deterministic_runner.model.routing.cellArea)
initial_state = deterministic_runner.model.getState()
# Running the deterministic_runner (excluding DA scheme)
currTimeStep.getStartEndTimeSteps(configuration.globalOptions['startTime'],
configuration.globalOptions['endTime'])
logger.info('Transient simulation run started.')
deterministic_runner = DeterministicRunner(configuration, currTimeStep, initial_state)
dynamic_framework = DynamicFramework(deterministic_runner,currTimeStep.nrOfTimeSteps)
dynamic_framework.setQuiet(True)
dynamic_framework.run()
# for debugging to PCR-GLOBWB version one
if configuration.debug_to_version_one:
logger.info('\n\n\n\n\n'+'Executing PCR-GLOBWB version 1.'+'\n\n\n\n\n')
# reset modelTime object
currTimeStep = None; currTimeStep = ModelTime()
currTimeStep.getStartEndTimeSteps(configuration.globalOptions['startTime'],
configuration.globalOptions['endTime'])
# execute PCR-GLOBWB version 1
# - including comparing model outputs (from versions one and two)
pcrglobwb_one = oldcalc_framework.PCRGlobWBVersionOne(configuration, \
currTimeStep, \
deterministic_runner.model.routing.landmask, \
deterministic_runner.model.routing.cellArea)
dynamic_framework = DynamicFramework(pcrglobwb_one, currTimeStep.nrOfTimeSteps)
dynamic_framework.setQuiet(True)
dynamic_framework.run()
os.mkdir(c.FOLDER_CONFIGS)
if not os.path.exists(c.FOLDER_USER_CONFIGS):
os.mkdir(c.FOLDER_USER_CONFIGS)
if not os.path.exists(c.FOLDER_OUTPUT_CONSOLE):
os.mkdir(c.FOLDER_OUTPUT_CONSOLE)
if '--no-gui' in sys.argv:
print(sys.argv)
input_fname = 'planet_48.9,55.703_49.317,55.871.osm'
output_fname = 'output/console/map.jpg'
max_dim = 6000
# Create and save map render using the MapWidget object
widget = MapWidget()
# Same size as in MainWindowHandlers
widget.resize(986, 631)
widget.setConfiguration(Configuration())
widget.setOSMFile(input_fname)
widget.saveImage(max_dim, output_fname)
# Kill application
app.quit()
else:
# Start the program
window = MainWindowHandlers()
window.initialize()
window.show()
sys.exit(app.exec_())
import json
import collections
import helper_test
from configuration import Configuration
from helper import Helper
debug = True
configuration = Configuration('actioncam',
path=helper_test.config_path(),
debug=debug)
config_actioncam = configuration.config["actioncam"]
helper = Helper(configuration.config)
helper.state_set_start()
def test_config_default():
print("test_config_default")
assert configuration.config['DEFAULT'] != "", "Failed checkingd Default"
j = configuration.config['DEFAULT']
j = collections.OrderedDict(sorted(j.items()))
print(json.dumps(j, indent=4, sort_keys=True))
def test_config_output_folder():
print("test_config_output_folder")
c_camera = configuration.config["camera"]
type = "motion.avi"
out = c_camera["recording_location"] + "/" + c_camera[
'identify'] + "_" + helper.now_str() + "_" + type
def import_last_file():
config = Configuration()
files = config.read_last_file()
import_file(files, True)
def test_all_existing_settings_are_modified(self):
configsetting = Configuration("config.ini", self.settings03)
self.assertEqual(self.settings03, configsetting.settings)
def import_data(data):
"""导入数据"""
data_query = DataQuery()
data_query.process(Configuration(), data)
def __init__(self, parent=None):
super().__init__(parent)
self.filename = None
self.fileBrowser = None
self.mainWindow = parent
self.debugging = False
c = Configuration()
self.pointSize = int(c.getFontSize())
self.tabWidth = int(c.getTab())
# Scrollbars
self.verticalScrollBar().setStyleSheet(
"""border: 20px solid black;
background-color: darkgreen;
alternate-background-color: #FFFFFF;""")
self.horizontalScrollBar().setStyleSheet(
"""border: 20px solid black;
background-color: darkgreen;
alternate-background-color: #FFFFFF;""")
# matched / unmatched brace color ...
self.setMatchedBraceBackgroundColor(QColor('#000000'))
self.setMatchedBraceForegroundColor(QColor('cyan'))
self.setUnmatchedBraceBackgroundColor(QColor('#000000'))
self.setUnmatchedBraceForegroundColor(QColor('red'))
self.setBraceMatching(QsciScintilla.SloppyBraceMatch)
# edge mode ... line at 79 characters
self.setEdgeColumn(79)
self.setEdgeMode(1)
self.setEdgeColor(QColor('dark green'))
# Set the default font
self.font = QFont()
system = platform.system().lower()
if system == 'windows':
self.font.setFamily('Consolas')
else:
self.font.setFamily('Monospace')
self.font.setFixedPitch(True)
self.font.setPointSize(self.pointSize)
self.setFont(self.font)
self.setMarginsFont(self.font)
# Margin 0 is used for line numbers
fontmetrics = QFontMetrics(self.font)
self.setMarginsFont(self.font)
self.setMarginWidth(0, fontmetrics.width("00000") + 5)
self.setMarginLineNumbers(0, True)
self.setMarginsBackgroundColor(QColor("#000000"))
self.setMarginsForegroundColor(QColor("#FFFFFF"))
# Margin 1 for breakpoints
self.setMarginSensitivity(1, True)
self.markerDefine(QsciScintilla.RightArrow, 8)
self.setMarkerBackgroundColor(QColor('#FF0000'), 8)
# variable for breakpoint
self.breakpoint = False
self.breakpointLine = None
# FoldingBox
self.setFoldMarginColors(QColor('dark green'), QColor('dark green'))
# CallTipBox
self.setCallTipsForegroundColor(QColor('#FFFFFF'))
self.setCallTipsBackgroundColor(QColor('#282828'))
self.setCallTipsHighlightColor(QColor('#3b5784'))
self.setCallTipsStyle(QsciScintilla.CallTipsContext)
self.setCallTipsPosition(QsciScintilla.CallTipsBelowText)
self.setCallTipsVisible(-1)
# change caret's color
self.SendScintilla(QsciScintilla.SCI_SETCARETFORE, QColor('#98fb98'))
self.setCaretWidth(4)
# tab Width
self.setIndentationsUseTabs(False)
self.setTabWidth(self.tabWidth)
# use Whitespaces instead tabs
self.SendScintilla(QsciScintilla.SCI_SETUSETABS, False)
self.setAutoIndent(True)
self.setTabIndents(True)
# BackTab
self.setBackspaceUnindents(True)
# Current line visible with special background color or not :)
#self.setCaretLineVisible(False)
#self.setCaretLineVisible(True)
#self.setCaretLineBackgroundColor(QColor("#020202"))
self.setMinimumSize(300, 300)
# get style
self.style = None
# Call the Color-Function: ...
self.setPythonStyle()
#self.SendScintilla(QsciScintilla.SCI_SETHSCROLLBAR, 0)
# Contextmenu
self.setContextMenuPolicy(Qt.ActionsContextMenu)
undoAction = QAction("Undo", self)
undoAction.triggered.connect(self.undoContext)
redoAction = QAction("Redo", self)
redoAction.triggered.connect(self.redoContext)
sepAction1 = QAction("", self)
sepAction1.setSeparator(True)
cutAction = QAction("Cut", self)
cutAction.triggered.connect(self.cutContext)
copyAction = QAction("Copy", self)
copyAction.triggered.connect(self.copyContext)
pasteAction = QAction("Paste", self)
pasteAction.triggered.connect(self.pasteContext)
sepAction2 = QAction("", self)
sepAction2.setSeparator(True)
sepAction3 = QAction("", self)
sepAction3.setSeparator(True)
selectAllAction = QAction("Select All", self)
selectAllAction.triggered.connect(self.getContext)
sepAction4 = QAction("", self)
sepAction4.setSeparator(True)
breakpointAction = QAction("Run until Breakpoint", self)
breakpointAction.triggered.connect(self.breakpointContext)
terminalAction = QAction("Open Terminal", self)
terminalAction.triggered.connect(self.termContext)
self.addAction(undoAction)
self.addAction(redoAction)
self.addAction(sepAction1)
self.addAction(cutAction)
self.addAction(copyAction)
self.addAction(pasteAction)
self.addAction(sepAction2)
self.addAction(selectAllAction)
self.addAction(sepAction3)
self.addAction(breakpointAction)
self.addAction(sepAction4)
self.addAction(terminalAction)
# signals
self.SCN_FOCUSIN.connect(self.onFocusIn)
self.textChanged.connect(self.onTextChanged)
self.marginClicked.connect(self.onMarginClicked)
def import_resources():
"""导入资源文件"""
data_query = DataQuery()
data_query.import_resources(Configuration())
import os
import socket
import logging as log
from configuration import Configuration
config = Configuration()
#print("Using GPU {} on {}".format(config.train.cuda_device_id[socket.gethostname()], socket.gethostname()))
# os.environ["CUDA_VISIBLE_DEVICES"] = str(config.train.cuda_device_id[socket.gethostname()])
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" # see issue #152
os.environ["CUDA_VISIBLE_DEVICES"] = str(
config.train.cuda_device_id
) #str(config.train.cuda_device_id[socket.gethostname()])
#os.environ["TF_CPP_MIN_LOG_LEVEL"]="2" # Silence tensorflow initialization messages
from workflow.evaluate import *
if config.eval.verbose == 0:
log.basicConfig(format="%(levelname)s: %(message)s", level=log.WARN)
log.warn("logging level WARN")
elif config.eval.verbose == 2:
log.basicConfig(format="%(levelname)s: %(message)s", level=log.DEBUG)
log.debug("logging level DEBUG")
else:
log.basicConfig(format="%(levelname)s: %(message)s", level=log.INFO)
log.info("logging level INFO")
if config.eval.verbose in [1, 2]:
parse_configuration(config,
def open_config():
# 打开配置文件
open_file(Configuration().app_config_file)
import pickle
import random
from deap import base
from math import isinf
from util import DFATooLargeException
from hmm import HMM
from grammar import Grammar
from nfa_parser import nfa_parser_get_most_probable_parse
from configuration import Configuration
from uniform_encoding import UniformEncoding
from rule_set import RuleSet
from copy import deepcopy
import ga_config
configurations = Configuration()
uniform_encoding = UniformEncoding()
class HypothesisFitness(base.Fitness):
def __init__(self):
self.weights = (-1.0,)
super(HypothesisFitness, self).__init__()
class Hypothesis:
def __init__(self, grammar):
self.grammar = grammar
# these three fields have temporal cohesion with get_energy()
self.energy_signature = None
self.energy = None
def builder(self, value) -> None:
self._builder = Configuration().handle_request(value)
def __init__(self):
self.hardwConst = HardwareConstants()
self.configs = Configuration()
self.sampleRate = 5000
if self.board[0, x, y]:
res += 'X' + blank
elif self.board[1, x, y]:
res += 'O' + blank
else:
res += '.' + blank
if x != 2: res += '\n\n'
return res
if __name__ == '__main__':
from encoding import *
from configuration import Configuration
c = Configuration()
randAI = randomAI.RandomAI()
nnAI = snnAI.SnnAI(c)
nnAI_plays = True
human_plays = True
s = GameState()
while not s.finished:
if human_plays and not nnAI_plays:
move_str = input("\nChoose your move: ")
move = tuple(int(x) for x in move_str.split(','))
elif nnAI_plays: