def main(): original_string = "Hello world!" # Create an object f of type Functions. Internal f.__string is set to original_string at initialization f = Functions(original_string) # If the internal variable f.__string has been changed, we check if it was changed using the setter f.setString() if f.getString() != original_string and f.setterUsed() == False: print "ERROR! Something is wrong here! Did you manipulate private variables in the Functions class directly??" # Hint: We didn't, there is a bug in the Functions class else: f.printString() # Print out f.__string
class Game(object):
def __init__(self):
pygame.init()
self.settings = Settings()
self.screen = pygame.display.set_mode(self.settings.screen_size)
self.compass = Compass()
self.place = Place(self.settings, self.screen, self.compass)
self.form = Form(self.settings, self.screen, self.compass)
self.functions = Functions(self.settings, self.screen, self.compass,
self.place, self.form)
def start(self):
while True:
self.functions.check_events()
self.functions.draw_screen()
def test_upload_objects(self):
self.__moto_setup()
f = Functions(parameter)
f.upload_objects()
s3_client = boto3.client("s3")
s3_bucket_object_count = 0
response = s3_client.list_objects_v2(Bucket='shivam1052061')
if response:
try:
for _object in response['Contents']:
s3_bucket_object_count = s3_bucket_object_count + 1
except KeyError:
print("KeyError. No such key exists in the specified bucket")
# print(s3_bucket_object_count)
self.assertEqual(s3_bucket_object_count, 10)
class Game(object):
def __init__(self):
pygame.init()
self.settings = Settings()
self.screen = pygame.display.set_mode(self.settings.screen_size)
self.data = Data()
self.block = Block(self.settings, self.screen, self.data)
self.functions = Functions(self.settings, self.screen, self.block,
self.data)
def start(self):
while True:
if self.functions.check_event():
self.data.random_display()
self.functions.draw_screen()
def __init__(self, address):
super().__init__(address)
self.about = About(self)
self.access = Access(self)
self.adjustment = Adjustment(self)
self.axis = Axis(self)
self.displacement = Displacement(self)
self.ecu = Ecu(self)
self.functions = Functions(self)
self.manual = Manual(self)
self.network = Network(self)
self.nlc = Nlc(self)
self.pilotlaser = Pilotlaser(self)
self.realtime = Realtime(self)
self.system = System(self)
self.system_service = System_service(self)
self.update = Update(self)
try:
self.streaming = Streaming(self)
except NameError as e:
if "Streaming" in str(e):
print("Warning: Streaming is not supported on your platform")
else:
raise e
def __init__(self, serial_port):
self.scorbot = Functions(serial_port)
self.pos_ini = 'ini'
self.pos_end = 'end'
self.pos_user = '******'
self.current_x = 97
self.current_y = -1959
def get_category_name(self, category_index):
li_elements = self.take_category_elements()
category_name = li_elements[category_index].text
Functions(self.driver).click_dynamic_element(
li_elements[category_index])
return category_name
def learn(self, M_x, v_y, learning_rate, max_loops=1000):
loop_nr = 0
while True:
for i in range(M_x.shape[0]): # for each example - index: i
# Just copy the input into INPUT of layer 0
self.layers[0].IN = M_x[i]
# Now propagate a[0] forward and store the interim results a[l] for the layers l
for l in range(
self.num_layers
): # for each layer except of the first - index l
layer = self.layers[l]
y = np.empty((layer.num_nodes))
res = np.empty((layer.num_nodes))
for j in range(
layer.num_nodes
): # for each row in weight matrix of layer l - index j
res[j] = np.dot(layer.weight_matrix[j], layer.IN)
y[j] = layer.activation(res[j])
layer.OUT = y # = g(RAW_OUT) = g(SUM(wv))
layer.RAW_OUT = res # = SUM(wv)
if l < self.num_layers - 1:
self.layers[l + 1].IN = self.layers[l].OUT
# Compute the error at the output layer
out_layer = self.layers[self.num_layers - 1] # output layer
out_layer.DELTA = out_layer.deriv_act(out_layer.RAW_OUT) * (
v_y[i] - out_layer.OUT) # i = example index
# Compute the other deltas, backwards running through the layers
for l in reversed(range(self.num_layers - 1)):
layer_m = self.layers[l]
layer_m_plus_1 = self.layers[l + 1]
delta_m = layer_m.deriv_act(layer_m.RAW_OUT) * \
np.dot(layer_m_plus_1.weight_matrix.T, layer_m_plus_1.DELTA)
layer_m.DELTA = delta_m
# And finally adjust weights.
# This may be done in forward order because all data are available here.
for l in range(self.num_layers):
layer = self.layers[l]
for j in range(layer.num_nodes):
delta_w = learning_rate * layer.DELTA[j] * layer.IN
layer.weight_matrix[
j] = layer.weight_matrix[j] + delta_w
# Calculate a more or less reasonable error metric
error = Functions.squared_error(
v_y[i], self.layers[self.num_layers - 1].OUT)
error = math.sqrt(error)
loop_nr += 1
if error < 0.001 or loop_nr > max_loops:
# print("learning loops: ", loop_nr)
break # while
return
def __init__(self): super().__init__( command_prefix = Config.prefix, description = "Host crowd sources Q&As directly in your Discord guild. https://github.com/wwwaffles/amabot" ) self.config = Config() self.db: AsyncIOMotorDatabase self.functions = Functions()
def __init__(self): super().__init__( command_prefix = "//", description = "" ) self.config = Config() self.db: AsyncIOMotorDatabase self.functions = Functions()
def __init__(self):
# Set Config files
self.home = os.path.expanduser("~")
self.configDir = self.home + "/.config/favoritesAppsIndicator"
self.iconDefault = APP_DIR + "/icon/favoritesApps.png"
# Init functions class
self.functions = Functions(APP_DIR, self.iconDefault)
# Read Json File
self.json_file = self.configDir + "/favoritesApps.json"
self.json_data = self.functions.read_json_file(self.json_file)
self.cmd_stat_json_file = "stat -c '%y' \"" + self.json_file + "\""
self.stats_config_file = self.functions.exec_command_get_output(
self.cmd_stat_json_file)
# Init other class
self.path_desktop_files = DesktopFilesInterface()
self.favorites_files_manager = FavoritesFilesManagerInterface(
self.json_data)
self.app_info = AppInfoInterface(APP_DIR, self.iconDefault)
# Other
self.applicationID = 'favorites_apps_indicator'
self.stop_thread = False
self.locale = self.functions.get_locale_code()
# Keys
self.key_comment_JsonFile = "INFO"
self.key_app_no_menu = "EXTERNALAPP"
self.key_separator = "separator_"
# Define Indicator
self.indicator = AppIndicator3.Indicator.new(
self.applicationID, self.iconDefault,
AppIndicator3.IndicatorCategory.OTHER)
self.indicator.set_status(AppIndicator3.IndicatorStatus.ACTIVE)
# start service
self.start_service_update_menu()
# Create Set Menu
self.indicator.set_menu(self.create_menu())
def create_widgets(self):
child = LabelFrame(self.parent, text="Text Box", padx=5, pady=5)
child.grid(row=1,
column=0,
columnspan=3,
padx=10,
pady=10,
sticky=E + W + N + S)
self.parent.columnconfigure(0, weight=1)
self.parent.rowconfigure(1, weight=1)
child.rowconfigure(0, weight=1)
child.columnconfigure(0, weight=1)
self.textBox = scrolledtext.ScrolledText(child, width=50, height=20)
self.textBox.grid(column=0, row=0, sticky=E + W + N + S)
self.t = Functions(self.textBox)
self.t.pack(fill='both', expand=1)
self.textBox.config(background='black', foreground='green')
self.t.config(background='black', foreground='green')
def __init__(self):
super().__init__()
self.setWindowTitle("Harmonisation")
self.functions = Functions()
self.functions.setFFromText(
"""def f(x, stats, alpha=1, beta=1, note_max=20):
if stats['max'] == 0:
return 0
a = note_max/stats['max']**3*(alpha-2+beta)
b = note_max/stats['max']**2*(3-beta-2*alpha)
c = alpha*note_max/stats['max']
d = 0
return a*x**3+b*x**2+c*x+d""")
# self.setF("""def f(x, a=1, b=0):
# return a*x+b""")
self.data = Data(self.functions)
self.createMenu()
self.setCentralWidget(self.mainWidget())
self.show()
class App(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("Harmonisation")
self.functions = Functions()
self.functions.setFFromText(
"""def f(x, stats, alpha=1, beta=1, note_max=20):
if stats['max'] == 0:
return 0
a = note_max/stats['max']**3*(alpha-2+beta)
b = note_max/stats['max']**2*(3-beta-2*alpha)
c = alpha*note_max/stats['max']
d = 0
return a*x**3+b*x**2+c*x+d""")
# self.setF("""def f(x, a=1, b=0):
# return a*x+b""")
self.data = Data(self.functions)
self.createMenu()
self.setCentralWidget(self.mainWidget())
self.show()
def createMenu(self):
exitAction = QAction("&Quitter", self)
exitAction.triggered.connect(self.close)
menu = self.menuBar()
fileMenu = menu.addMenu("&Fichier")
fileMenu.addAction(exitAction)
def mainWidget(self):
mainSplitter = QSplitter()
leftSplitter = QSplitter(Qt.Vertical)
listContainer = ListContainer(self.functions)
tableContainer = TableContainer(self.data)
leftSplitter.addWidget(listContainer)
leftSplitter.addWidget(tableContainer)
rightSplitter = QSplitter(Qt.Vertical)
parametersContainer = ParametersContainer(self.functions)
statContainer = StatContainer(self.data)
rightSplitter.addWidget(parametersContainer)
rightSplitter.addWidget(statContainer)
mainSplitter.addWidget(leftSplitter)
mainSplitter.addWidget(rightSplitter)
return mainSplitter
def __init__(self):
super().__init__(
command_prefix='!',
description=
"A simple yet powerful moderation bot. Written in discord.py",
intents=intents)
self.config = Config()
self.db: AsyncIOMotorDatabase
self.functions = Functions()
def __init__(self, symbol, function, apiKey):
self.symbol = symbol
self.apiKey = apiKey
functionEnum = Functions()
if function == 1:
self.function = functionEnum.Daily
elif function == 2:
self.function = functionEnum.Intraday
else:
self.function = functionEnum.DailyAdjusted
def create_groups_keys(self):
modifier = [GROUPS_KEY]
swap_modifier = [GROUPS_KEY, SWAP_GROUP_KEY]
screen_modifier = [MOVEMENT_KEY]
move_next = Key(modifier, NEXT_GROUP, lazy.screen.next_group())
move_prev = Key(modifier, PREV_GROUP, lazy.screen.prev_group())
swap_next = Key(swap_modifier, NEXT_GROUP,
Functions.window_to_next_group())
swap_prev = Key(swap_modifier, PREV_GROUP,
Functions.window_to_prev_group())
move_next_screen = Key(screen_modifier, NEXT_GROUP, lazy.next_screen())
move_prev_screen = Key(screen_modifier, PREV_GROUP, lazy.next_screen())
self.keys += [
move_next, move_prev, swap_next, swap_prev, move_next_screen,
move_prev_screen
]
def __init__(self, dimensions): # first element = input-dim, the following = layer-dims
self.num_layers = len(dimensions) - 1 # -1 : subtract input-dim
self.layers = []
# and now the specified layers
for i in range(self.num_layers):
num_in = dimensions[i]
num_out = dimensions[i+1]
self.layers.append(Layer(num_in, num_out))
# activation functions
self.activation_str = None
self.functions = Functions()
return
def marketMenu():
os.system("cls")
try:
option = int(
input(
"Digite para selecionar:\n\n1 - Verificar informações do mercado\n2 - Editar informações do mercado\n\nQualquer outro numero para voltar ao menu principal o programa: "
))
if option == 1:
os.system("cls")
Functions.getMarketInfo()
input("\nAperte enter para voltar a tela anterior")
marketMenu()
if option == 2:
os.system("cls")
Functions.getMarketInfo()
Functions.editMarketInfo()
input("\nAperte enter para voltar a tela anterior")
marketMenu()
if option not in [1, 2]:
mainMenu()
except:
os.system("cls")
print("\nPor favor digite uma opcao valida\n")
time.sleep(2)
marketMenu()
def salesMenu():
os.system("cls")
try:
option = int(
input(
"Digite para selecionar:\n\n1 - Registrar nova venda\n2 - Para ver uma venda especifica\n3 - Para ver a lista de vendas\n\nQualquer outro numero para voltar ao menu principal o programa: "
))
if option == 1:
os.system("cls")
Functions.registerSale()
input("\nAperte enter para voltar a tela anterior")
salesMenu()
if option == 2:
os.system("cls")
Functions.showSale()
input("\nAperte enter para voltar a tela anterior")
salesMenu()
if option == 3:
os.system("cls")
Functions.showAllSales()
input("\nAperte enter para voltar a tela anterior")
salesMenu()
if option not in [1, 2, 3]:
mainMenu()
except Exception as e:
print(e)
os.system("cls")
print("\nPor favor digite uma opcao valida\n")
time.sleep(2)
salesMenu()
def main():
xdim = int(input('Enter the x dimension: \n'))
ydim = int(input('Enter the y dimension: \n'))
num_bomb = int(input('Enter the number of bombs: \n'))
gameboard = Board(xdim, ydim, num_bomb)
gameboard.make_board()
Functions.print_board(gameboard)
first_x, first_y = xdim + 1, ydim + 1
while first_x > (xdim - 1):
first_x = int(input('Enter x location: \n'))
if first_x > (xdim - 1):
print('Please enter a value less than ' + xdim)
while first_y > (ydim - 1):
first_y = int(input('Enter y location\n'))
if first_y > (ydim - 1):
print('Please enter a value less than ' + ydim)
if not Functions.reveal_space(gameboard, int(first_x), int(first_y)):
print('Tough luck! You hit a bomb, restarting...', end='')
main()
while Functions.move(gameboard):
if Functions.check_won(gameboard):
print('You Won! ', end='')
restart = input('You hit a bomb! Restart?\n[Y] Yes [N] No\n')
if restart.capitalize() == 'Y':
main()
break
else:
break
if gameboard.is_lost:
restart = input('You hit a bomb! Restart?\n[Y] Yes [N] No\n')
if restart.capitalize() == 'Y':
main()
else:
break
print('Thanks for playing!')
class Test_LoginPage():
def setup(self):
self.links = Links()
self.locators = Locator()
self.functions = Functions(self.driver)
self.login_page = LoginPage(self.driver)
self.driver.get(self.links.login)
@pytest.mark.smoke
@pytest.mark.lol
@pytest.mark.sanity
@allure.title("Correct login")
@allure.severity("Critical")
def test_login(self):
with allure.step("Login in account"):
self.login_page.login_in_account()
self.functions.getScreenshot("Login")
with allure.step("Account page title checking"):
self.functions.TitleCheck(Locator.ACCOUNT_INFO)
def learn(self, m_x, m_y, learning_rate, max_loops=1000):
loop_nr = 0
while True:
error = 0.0
for ex in range(len(m_x)): # for each example - index: ex
# Just copy the input into INPUT of layer 0
self.layers[0].input = m_x[ex]
# Now propagate a[0] forward and store the interim results a[l] for the layers l
for l in range(self.num_layers):
self.layers[l].sum = np.dot(self.layers[l].weights, self.layers[l].input)
self.layers[l].output = self.activation(self.layers[l].sum)
if (l < self.num_layers - 1):
self.layers[l + 1].input = self.layers[l].output
# self.layers[l + 1].input = np.copy(self.layers[l].output)
# Compute the error at the output layer
out_layer = self.layers[self.num_layers - 1] # output layer
# m_y is not an mdarray! ToDo!
out_layer.delta = self.deriv_act(out_layer.sum) * (m_y[ex] - out_layer.output) # ex = example index
# Compute the other deltas, backwards running through the layers
for l in reversed(range(self.num_layers - 1)):
layer_m = self.layers[l]
layer_m_plus_1 = self.layers[l+1]
delta_m = self.deriv_act(layer_m.sum) * \
np.dot(layer_m_plus_1.weights.T, layer_m_plus_1.delta)
layer_m.delta = delta_m
# And finally adjust weights.
# This can be done in forward order because all data are available here.
for l in range(self.num_layers):
layer = self.layers[l]
for i in range(layer.num_out):
delta_w = learning_rate * layer.delta[i] * layer.input
row = layer.weights[i] + delta_w
layer.weights[i] = row
# layer.weights[j] = layer.weights[j] + delta_w
# Calculate a more or less reasonable error metric
error += Functions.squared_error(m_y[ex], self.layers[self.num_layers - 1].output)
# Calculate a more or less reasonable error metric
error /= len(m_x)
loop_nr += 1
if error < 1.0E-9 or loop_nr >= max_loops * len(m_x):
print("learning loops: ", loop_nr / len(m_x))
break # while
return
def identify_func(self, function):
l.debug("function at %#x", function.addr)
if function.is_syscall:
return None
func_info = self.get_func_info(function)
if func_info is None:
l.debug("func_info is none")
return None
l.debug("num args %d", len(func_info.stack_args))
try:
calls_other_funcs = len(
self._cfg.functions.callgraph.successors(function.addr)) > 0
except NetworkXError:
calls_other_funcs = False
for name, f in Functions.iteritems():
# check if we should be finding it
if self.only_find is not None and name not in self.only_find:
continue
if name in Identifier._special_case_funcs:
continue
# generate an object of the class
f = f()
# test it
if f.num_args() != len(func_info.stack_args) or f.var_args(
) != func_info.var_args:
continue
if calls_other_funcs and not f.can_call_other_funcs():
continue
l.debug("testing: %s", name)
if not self.check_tests(function, f):
continue
# match!
return f
if len(func_info.stack_args) == 2 and func_info.var_args and len(
function.graph.nodes()) < 5:
match = Functions["fdprintf"]()
l.warning(
"%#x assuming fd printf for var_args func with 2 args although we don't really know",
function.addr)
return match
return None
def about_author(self):
"""Tworzy stronę z informacjami o autorze"""
author = True
while author:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
quit()
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_ESCAPE:
pygame.quit()
quit()
self.screen.fill(self.grey)
Functions.message(self,
"Author:",
self.white,
y_displace=-100,
size="small")
Functions.message(self,
"Rakus Karolina",
self.white,
y_displace=0,
size="big")
self.button("back",
330,
500,
140,
60,
self.light_grey,
self.dark_grey,
action="back to menu")
pygame.display.update()
def __init__(self, num_in, num_out):
self.num_in = num_in
self.num_out = num_out
self.num_weights = num_in * num_out
# vectors and weight matrix needed for learning and running
self.input = None
self.output = None
self.weights = None
self.sum = None
self.delta = None
self.delta_w = None
# vectors for interim values
self.derived = None
self.diff = None
self.tmp_col = None
#
self.functions = Functions()
def __init__(self, driver):
self.driver = driver
self.driver.implicitly_wait(30) # Обьявляем ожидания для страниц
# self.driver.set_window_size(1920, 1080) # Указываем размер окна
self.driver.set_window_size(1920, 1080) # Указываем размер окна
self.wait = WebDriverWait(self.driver,
30) # Указываем ожидания для элементов
self.functions = Functions(
self.driver
) # Создаем обьект для того чтобы использовать функции в pages
#######################################################
# Тут обьявляем все константы, локаторы, ссылки, данные
#######################################################
self.links = Links()
self.Locator = Locator()
self.data = Data()
def from_conf(conf,
init_fields=True,
init_equations=True,
init_solvers=True):
if conf.options.get('absolute_mesh_path', False):
conf_dir = None
else:
conf_dir = op.dirname(conf.funmod.__file__)
functions = Functions.from_conf(conf.functions)
mesh = Mesh.from_file(conf.filename_mesh, prefix_dir=conf_dir)
trans_mtx = conf.options.get('mesh_coors_transform', None)
if trans_mtx is not None:
mesh.transform_coors(trans_mtx)
domain = Domain(mesh.name, mesh)
if conf.options.get('ulf', False):
domain.mesh.coors_act = domain.mesh.coors.copy()
obj = ProblemDefinition('problem_from_conf',
conf=conf,
functions=functions,
domain=domain,
auto_conf=False,
auto_solvers=False)
obj.set_regions(conf.regions, obj.functions)
obj.clear_equations()
if init_fields:
obj.set_fields(conf.fields)
if init_equations:
obj.set_equations(conf.equations, user={'ts': obj.ts})
if init_solvers:
obj.set_solvers(conf.solvers, conf.options)
return obj
def getAllInformation(self, openid):
function = Functions.Function(self.__username, self.__url, self.__sessionid, self.__deskey, self.__nowtime)
xn = "0000"
xq = "0"
informationlist = function.InquiryGrades(xn, xq, self.__username, xn + "-" + xq)
exam_infor = function.examination()
classInfor = function.myclass()
for i in range(len(classInfor)):
information = classInfor[i]
classes = Classes(openid=openid, class_name=information)
classes.save()
for i in range(len(informationlist)):
information = informationlist[i]
grade = Grade(openid=openid, class_name=information[0], class_credit=information[1], class_grade=information[3])
grade.save()
for i in range(len(exam_infor)):
information = exam_infor[i]
exam = Exam(openid=openid, class_name=information[0], class_credit=information[1], class_type=information[2], class_way=information[3], class_time=information[4], class_location=information[5], class_seat=information[6])
exam.save()
def __init__(self, data, myfuncs):
npoints = len(data.time)
self.model = np.zeros(npoints)
self.model_sys = np.zeros(npoints)
self.model_astro = np.zeros(npoints)
self.norm_flux = np.zeros(npoints)
self.phase = np.zeros(npoints)
self.resid = np.zeros(npoints)
self.norm_resid = np.zeros(npoints)
self.chi2 = 0.
self.chi2red = 0.
self.rms = 0.
self.rms_predicted = 1.0e6*np.sqrt(np.mean((data.err/data.flux)**2))
#self.rms_predicted = 1.0e6*np.sqrt(np.mean(np.sqrt((1./data.flux))**2)) #wong because we binned over several pixels
self.ln_like = 0.
self.bic = 0.
self.params = []
self.myfuncs = Functions(data, myfuncs)
def __init__(self, data, myfuncs):
npoints = len(data.time)
self.model = np.zeros(npoints)
self.model_sys = np.zeros(npoints)
self.model_astro = np.zeros(npoints)
self.model_gp = np.zeros(npoints)
self.norm_flux = np.zeros(npoints)
self.phase = np.zeros(npoints)
self.resid = np.zeros(npoints)
self.norm_resid = np.zeros(npoints)
self.chi2 = 0.
self.chi2red = 0.
self.rms = 0.
self.rms_predicted = 1.0e6*np.sqrt(np.mean((data.err/data.flux)**2))
self.ln_like = 0.
self.bic = 0.
self.params = []
self.myfuncs = Functions(data, myfuncs)
def setUp(self):
self.f = Functions(Request())
self.graph = []
async def add_connection(x, y):
if (x, y) not in self.graph:
self.graph.append((x, y))
self.graph.append((y, x))
async def neighbours(node):
neighbourhood = list()
for g in self.graph:
if (g[0] == node) or (g[1] == node):
if g[0] != node:
neighbourhood.append(g[0])
else:
neighbourhood.append(g[1])
self.f.request.add_connection = Mock(side_effect=add_connection)
self.f.request.neighbours = Mock(side_effect=neighbours)
def from_conf(conf, init_fields=True, init_equations=True,
init_solvers=True):
if conf.options.get('absolute_mesh_path', False):
conf_dir = None
else:
conf_dir = op.dirname(conf.funmod.__file__)
functions = Functions.from_conf(conf.functions)
if conf.get('filename_mesh') is not None:
from sfepy.discrete.fem.domain import FEDomain
mesh = Mesh.from_file(conf.filename_mesh, prefix_dir=conf_dir)
domain = FEDomain(mesh.name, mesh)
if conf.options.get('ulf', False):
domain.mesh.coors_act = domain.mesh.coors.copy()
elif conf.get('filename_domain') is not None:
from sfepy.discrete.iga.domain import IGDomain
domain = IGDomain.from_file(conf.filename_domain)
else:
raise ValueError('missing filename_mesh or filename_domain!')
obj = Problem('problem_from_conf', conf=conf, functions=functions,
domain=domain, auto_conf=False, auto_solvers=False)
obj.set_regions(conf.regions, obj.functions)
obj.clear_equations()
if init_fields:
obj.set_fields(conf.fields)
if init_equations:
obj.set_equations(conf.equations, user={'ts' : obj.ts})
if init_solvers:
obj.set_solvers(conf.solvers, conf.options)
return obj
def from_conf(conf, init_fields=True, init_equations=True,
init_solvers=True):
if conf.options.get_default_attr('absolute_mesh_path', False):
conf_dir = None
else:
conf_dir = op.dirname(conf.funmod.__file__)
functions = Functions.from_conf(conf.functions)
mesh = Mesh.from_file(conf.filename_mesh, prefix_dir=conf_dir)
trans_mtx = conf.options.get_default_attr('mesh_coors_transform', None)
if trans_mtx is not None:
mesh.transform_coors(trans_mtx)
domain = Domain(mesh.name, mesh)
if get_default_attr(conf.options, 'ulf', False):
domain.mesh.coors_act = domain.mesh.coors.copy()
obj = ProblemDefinition('problem_from_conf', conf=conf,
functions=functions, domain=domain,
auto_conf=False, auto_solvers=False)
obj.set_regions(conf.regions, obj.functions)
obj.clear_equations()
if init_fields:
obj.set_fields( conf.fields )
if init_equations:
obj.set_equations(conf.equations, user={'ts' : obj.ts})
if init_solvers:
obj.set_solvers( conf.solvers, conf.options )
return obj
class Logic:
PITCH = -933
ROLL = -6
Z = 1864
MIN_X = -700
MAX_X = 900
MIN_Y = -3100
MAX_Y = -910
INI_X = 97
INI_Y = -1959
END_X = 97
END_Y = -3683
INTERVAL = 100
def __init__(self, serial_port):
self.scorbot = Functions(serial_port)
self.pos_ini = 'ini'
self.pos_end = 'end'
self.pos_user = '******'
self.current_x = 97
self.current_y = -1959
def close_con(self):
self.scorbot.close_con()
def fast(self):
self.scorbot.speed(50)
def medium(self):
self.scorbot.speed(20)
def slow(self):
self.scorbot.speed(7)
def initialize(self):
self.scorbot.open_con()
self.scorbot.home()
self.scorbot.def_pos(self.pos_ini, self.pos_end, self.pos_user)
self.scorbot.teach_pos(self.pos_ini, Logic.INI_X, Logic.INI_Y, Logic.Z, Logic.PITCH, Logic.ROLL)
self.scorbot.teach_pos(self.pos_end, Logic.END_X, Logic.END_Y, Logic.Z, Logic.PITCH, Logic.ROLL)
self.fast()
self.scorbot.move(self.pos_ini)
self.scorbot.open()
self.slow()
self.scorbot.setp(self.pos_user, self.pos_ini)
def calculate_z(self, y):
'''
pos y z
fin -3683 224
maxy -913 845
(-3683, 224) - (-913, 845) = [-2770, -621] = V
N = [-621, 2770]
-621(y + 913) + 2770 (z - 845) = 0
-621y - 566973 + 2770z - 2340650 = 0
-621y + 2770z - 2907623 = 0
'''
return ((2907623 + (621 * y)) / 2770) - 50
def update_x_y(self, x = None, y = None):
if x != None:
self.current_x = x
if y != None:
self.current_y = y
def more_x(self):
if self.current_x + Logic.INTERVAL <= Logic.MAX_X:
self.update_x_y(self.current_x + Logic.INTERVAL, None)
self.scorbot.set_x(self.pos_user, self.current_x)
self.scorbot.move(self.pos_user)
else:
print 'more_x maximo: ' + str(self.current_x)
def less_x(self):
if self.current_x - Logic.INTERVAL >= Logic.MIN_X:
self.update_x_y(self.current_x - Logic.INTERVAL, None)
self.scorbot.set_x(self.pos_user, self.current_x)
self.scorbot.move(self.pos_user)
else:
print 'less_x minimo: ' + str(self.current_x)
def more_y(self):
if self.current_y + Logic.INTERVAL <= Logic.MAX_Y:
self.update_x_y(None, self.current_y + Logic.INTERVAL)
self.scorbot.set_y(self.pos_user, self.current_y)
self.scorbot.move(self.pos_user)
else:
print 'more_y maximo: ' + str(self.current_y)
def less_y(self):
if self.current_y - Logic.INTERVAL >= Logic.MIN_Y:
self.update_x_y(None, self.current_y - Logic.INTERVAL)
self.scorbot.set_y(self.pos_user, self.current_y)
self.scorbot.move(self.pos_user)
else:
print 'less_y minimo: ' + str(self.current_y)
def home(self):
self.medium()
self.update_x_y(Logic.INI_X, Logic.INI_Y)
self.scorbot.move(self.pos_ini)
self.scorbot.setp(self.pos_user, self.pos_ini)
self.slow()
def catch(self):
z = self.calculate_z(self.current_y)
self.scorbot.set_z(self.pos_user, z)
self.fast()
self.scorbot.move(self.pos_user)
time.sleep(1)
self.scorbot.close()
self.scorbot.set_z(self.pos_user, Logic.Z)
self.scorbot.move(self.pos_user)
self.update_x_y(Logic.END_X, Logic.END_Y)
self.scorbot.move(self.pos_end)
z = self.calculate_z(self.current_y)
self.scorbot.setp(self.pos_user, self.pos_end)
self.scorbot.set_z(self.pos_user, z)
self.scorbot.move(self.pos_user)
time.sleep(4)
self.scorbot.open()
self.scorbot.set_z(self.pos_user, Logic.Z)
self.scorbot.move(self.pos_user)
self.scorbot.move(self.pos_ini)
self.update_x_y(Logic.INI_X, Logic.INI_Y)
self.scorbot.setp(self.pos_user, self.pos_ini)
self.slow()
parser.add_argument("--lib_dir", type=str, help="Specify the library directory", default="library")
parser.add_argument("--stage_dir", type=str, help="Specify the staging directory", default="stage")
parser.add_argument("--verbose", help="Set to verbose mode", action="store_true")
group = parser.add_mutually_exclusive_group()
group.add_argument("--init", action="store_true", help="Init and store a library")
group.add_argument("-l", "--list_collections", action="store_true", help="List all collections")
group.add_argument("-c", "--display_collection", type=int, default=-1, help="Display the collection with the specified id")
group.add_argument("-i", "--display_item", type=int, default=-1, help="Delete the item with the specified id")
group.add_argument("--del_coll", type=int, default=-1, help="Delete the collection with the specified id")
group.add_argument("--del_item", type=int, default=-1, help="Delete the item with the specified id")
group.add_argument("-p", "--process", action="store_true", help="Process the staging directory")
args = parser.parse_args()
functions = Functions(args.lib_db, args.lib_dir, args.stage_dir, args.verbose)
#todo: Check existence of stage, library, and db
makedirs(args.lib_dir, exist_ok=True)
makedirs(args.stage_dir, exist_ok=True)
functions.init_db()
if args.init:
print("Init with the following settings (Structure of 'library' will be inited as collection)?")
print("Database location: " + args.lib_db)
print("Library location: " + args.lib_dir)
print("WARNING: THIS WILL MOVE ALL FILES IN 2ND LEVEL DIRECTORIES AND LOWER")
print(" INTO THE FIRST-LEVEL DIRECTORY.")
choice = input("Y/N : ")
if choice == "Y" or choice == "y":
def get_value(self, values): function = Functions(self.fg) return function.calculate(self.name, values)
debug = False
writeFile = False
#retrieving data from mongodb
client = MongoClient() #get mongodb client
db= client.UpcomingAnime #get database named test_database
collection_Anime= db.Anime #get table named <insert name> inside db named <insert name>
#create upcoming anime dictionary
UpcomingData={}
for items in collection_Anime.find():
del items["_id"]
UpcomingData[items["a_name"]]=items
print "Content-Type: text/html\n"
if not debug:
UserData= Functions.read_line( data["UserAnime"].value)
if debug and writeFile:
U_f = open('./UserAnimei', 'w')
U_f.write(data["UserAnime"].value)
U_f.close()
elif debug and not writeFile:
U_f=open('./UserAnimei', 'r')
line=U_f.read()
UserData= Functions.read_line(line)
return_type=[] #a list that will store all relevant animes be used to send back
if len(UserData) >0:
train= Functions.classify(UserData)
# array of tuples holding a (dict of genres genre:true, relevant/nonrelevant)
if debug:
# -*- coding: utf-8 -*- """ Created on 26/04/2013 @author: José M. Camacho - camachososa@josemazocom @author: Gabriel E. Muñoz - [email protected] """ """ Module to place the SCORBOT in the home position """ from functions import Functions f = Functions("/dev/cu.PL2303-00002006") f.open_con() f.home() f.close_con()
