def runProcess(self):
# Import user data
usrIn = ui.userInput(self.setupFile)
param, re_run = usrIn.fread()
# --------------------- Import Raw Data ---------------------
if param['import_raw']:
# Import raw data
raw_data = dt.data_import(param['TSloc'], param['PVloc'],
param['import_dtype'], param)
self.Database = raw_data.run_data_import()
if re_run or re_run is None:
print(' ----------',
'New critical input parameters detected, begin processing',
'----------')
# --------------------- Apply pre processing ---------------------
pre_process = prp.preProcess(self.Database, param)
pre_process.run_PP()
# --------------------- Cross-correlations ---------------------
dt.utilities.DB_attrs_save(self.Database, param)
process = cc.cross_correlation_survey(self.Database, verbose=True)
process.CC_run()
# # --------------------- Post Process data ---------------------
# post_process = pop.postProcess(param, PV_df, CC, TScut)
# TScut_DB, PV_df = post_process.postProcess_run()
if param['disp_DB']:
plot_db = dcwi.dispCWI2(self.Database)
hdl_cc, recPos_slider, srcPos_slider = plot_db.plot_DB()
def local() -> tuple:
casos: list = fetchCasos()
doencas: list = extractDoencas(casos)
test_case: list = userInput()
aux: int = 2
simLocal: list = []
final: dict = {}
for index, caso in enumerate(casos):
for index_labels, label in enumerate(LABELS):
pesos: list = dbHandler.fetchPesos(label)
if "?" in pesos[0]:
pesos[0] = (0, 'Desconhecido')
dicPesos: dict = dict(
((v, int(k)) for k, v in dict(pesos).items()))
res: float = Similaridade.local(max(dicPesos.values()),
min(dicPesos.values()),
dicPesos[test_case[index_labels]],
int(dicPesos[casos[index][aux]]))
simLocal.append(res)
aux += 1
aux = 2
tmp = {casos[index][0]: list(simLocal)}
final.update(tmp)
simLocal.clear()
return (final, test_case, doencas)
def moodleLogin():
""" This function login to moodle.iitb.ac.in
@input: None
@output: instance of login page of moodle
"""
userInfo = userInput();
cj = cookielib.CookieJar()
opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
login_data = urllib.urlencode(userInfo);
opener.open('http://moodle.iitb.ac.in/login/index.php', login_data)
return opener
def main():
#Print the Menu Options
print_screen = True
while print_screen == True:
#menuChoice = menuOptions()
#menuChoices = menuChoice.Menu()
print("0. Exit" + "\n" + "1. New" + "\n" + "2. List" + "\n" +
"3. Edit" + "\n" + "4. View" + "\n" + "5. Delete")
#Retreieve User Input and Direct them to the correct file handling logic
userChoice = userInput()
print_screen = userChoice.userInputValueInput()
from userInput import userInput
from scraperUtils import *
from excelOutput import excelOutput
import getpass
#Initializing User Input Object
user_obj = userInput()
#Asking for company list input (comma-seperated)
company_input = input("Enter companies as comma-seperated list:")
user_obj.set_companies(company_input)
#Asking for location list input (comma-seperated and Linkedin validated)
location_input = input("Enter locations as comma-seperated list:")
user_obj.set_locations(location_input)
#Asking for titles list input (comma-seperated)
title_input = input("Enter titles as comma-seperated list:")
user_obj.set_titles(title_input)
#Asking for Linkedin Authentication
username_input = input("Enter Linkedin username:"******"Enter Linkedin password:"******"test.xlsx")
execute(excel_file, user_obj)
def __init__(self):
self.inputs = userInput()
self.display = display()
self.dron = dronIo()
self._running = False
def __init__(self):
self.ui = userInput.userInput(self, 'userInput.json')
self.pl = PubgLogic.PubgLogic(self)
self.sl = SheetsLogic.SheetsLogic(self)
self.cl = CombinedLogic.CombinedLogic(self)
self.ps = PlayerStats.PlayerStats(self)