def HRM(filename, numberOfMinutes):
"""Oversees the processing of the input CSV file to output JSON file.
:param filename: A string containing the file for processing.
:returns: JSON file with the metrics dictionary
"""
FORMAT = '%(asctime)s %(message)s'
DATEFMT = '%Y-%m-%d %H:%M:%S'
logging.basicConfig(filename="log.txt",
level=logging.DEBUG,
format=FORMAT,
datefmt=DATEFMT)
logging.info('Started.')
reader.validate(filename)
reader.existFile(filename)
rawData = reader.readFile(filename)
while "interpolate" in rawData[0]:
rawData = cleaner.cleanInterpolate(rawData, 0)
while "interpolate" in rawData[1]:
rawData = cleaner.cleanInterpolate(rawData, 1)
almostData = analyzer.produceNumpy(rawData)
data = cleaner.cleanClipper(almostData, numberOfMinutes)
metrics = outputter.createDictionary(data)
JSONname = outputter.createJSON(metrics, filename)
logging.info('Finished.\n')
def test_readFile(mktestfile):
"""Test the function readFile from reader.py
:returns: test passed if read data is as expected, test failed if otherwise
"""
from reader import readFile
assert readFile(mktestfile) == [[0.11, 0.22], [0.88, 0.99]]
def test(file):
pathList = readFile(file)
GraphSet.set_universe(pathList)
cycles = GraphSet.cycles()
sizeList = sorted([len(cycle) / 2 for cycle in cycles])
sizeList.reverse()
print(sizeList)
finishpage(score, root)
# if there is still some question left then recall the makelayout function that will display a new question
elif len(questionlist) > 0:
makelayout(score, root, questionlist)
# function for the final page layout
def finishpage(score, root):
frame3 = Frame(width=100, height=100) #make frame
frame3.pack(expand=True)
photo = (PhotoImage(file="codebusters.gif")) #fetch file
label = Label(image=photo)
label.image = photo # keep a reference!
label.pack(expand=True)
label1 = Label(frame3,
text="The Final Score Is " + str(score),
font="Helvetica 22 bold",
fg='green',
bg='black') #final score
label1.grid(columnspan=True, rowspan=True, padx=10, pady=5)
can = Canvas(frame3, width=10, height=10) #change picture size/canvas size
#can.create_image(200,200,image=photo)
can.grid()
print "This is the final page"
# reads a textfile where the questions are written, returns a list of question objects
questionlist = readFile('example_questions.txt')
# pass the list of questions to a function that creates the frame
setuptakenquestionlist(questionlist)
import reader
import value
fileName = "TestesGrid/RandomGoalInitialState/navigation_1.txt"
print("###### {} ######".format(fileName))
states, initialState, goalState = reader.readFile(fileName)
value.run(states, initialState, goalState, 20)
fileName = "TestesGrid/RandomGoalInitialState/navigation_2.txt"
print("###### {} ######".format(fileName))
states, initialState, goalState = reader.readFile(fileName)
value.run(states, initialState, goalState, 40)
fileName = "TestesGrid/RandomGoalInitialState/navigation_3.txt"
print("###### {} ######".format(fileName))
states, initialState, goalState = reader.readFile(fileName)
value.run(states, initialState, goalState, 60)
fileName = "TestesGrid/RandomGoalInitialState/navigation_4.txt"
print("###### {} ######".format(fileName))
states, initialState, goalState = reader.readFile(fileName)
value.run(states, initialState, goalState, 80)
fileName = "TestesGrid/RandomGoalInitialState/navigation_5.txt"
print("###### {} ######".format(fileName))
states, initialState, goalState = reader.readFile(fileName)
value.run(states, initialState, goalState, 100)
fileName = "TestesGrid/RandomGoalInitialState/navigation_6.txt"
print("###### {} ######".format(fileName))
states, initialState, goalState = reader.readFile(fileName)
'return' : retorno,
'VER' : verif,
'+t' : sumaDimensionada,
}
func = dict_Ind.get(cuadr.action, 'False')
if func != 'False':
position = func(cuadr, contProg)
return position
return contProg + 1
#!---------------------------------------------------
#! EJECUCION
#!---------------------------------------------------
reader.readFile()
#? Inicializa Memoria Global
globSize = dirFuncs[reader.programa].tam
mem.memGlob.append(mem.memoria(globSize[0], globSize[1], globSize[2], 0, 0, 0, 0))
memoriaGlob = mem.memGlob[-1]
#? Inicializa Primera Memoria Local, contexto : Main
mainSize = dirFuncs["Main"].tam
mem.memStack.append(mem.memoria(mainSize[0], mainSize[1], mainSize[2], mainSize[3], mainSize[4], mainSize[5], mainSize[6]))
memoriaMain = mem.memStack[-1]
while cuad[contProg].action != 'ENDProgram':
contProg = indicador(cuad[contProg], contProg)
memoriaGlob.printMem()
memoriaMain.printMem()
print('\n')
import gc
#fileName = input('Your txt file: ')
#pattern = input('Your pattern: ')
gc.disable()
fileName = 'book.txt'
#reader.readFile("Paragraphs/para0.txt")
#reader.readFile("Paragraphs/para1.txt")
#reader.readFile("Paragraphs/para2.txt")
#"of"
#pattern = reader.readFile("Paragraphs/para2.txt")
pattern = "his"
# Get content's file
s = reader.readFile(fileName)
#print(" ==> Text :: %s" %s)
print(" ==> Pattern :: %s" %pattern)
print(" ==> Pattern Length :: %d" %len(pattern))
#Bruteforce Algorithm
Bruteforce.bruteForce(s, pattern)
#Sunday Algorithm
Sunday.sunday(s, pattern)
#KMP Algorithm
KMP.KMP(s, pattern)
#FSM Algorithm
folders = ['Manager/', 'Accounts/', 'Audit/', 'Analyst/', 'Data_Science/']
results = {
1: 'Manager',
2: 'Accounts',
3: 'Audit',
4: 'Analyst',
5: 'Data Science'
}
dataroot = 'resumeLabeled/'
resume = list()
label = list()
if not os.path.isfile('datasetLabeled.csv'):
for i, folder in enumerate(folders):
for file in os.listdir(dataroot + folder):
try:
text = reader.readFile(dataroot + folder + file)
if text is not None:
resume.append(reader.readFile(dataroot + folder +
file))
label.append(i + 1)
except:
pass
data = pd.DataFrame({'Resume': resume, 'category': label})
data.to_csv('datasetLabeled.csv', sep=',')
if not os.path.isfile('datasetLabeledProcessed.csv'):
df = pd.read_csv('datasetLabeled.csv', sep=',')
df = df.dropna()
# df.category = df.category.astype(int)
print(df.head())
df.Resume = df.Resume.apply(preprocess)
import time
import threading
import os
def sendEmail(list):
print("SendEmail task assigned to thread: " + format(threading.current_thread().name))
print("ID of process running task sendEmail: " + format(os.getpid()))
t = time.process_time()
for contact in list:
time.sleep(0.5)
endTime = time.process_time() - t
print("Execution started...")
startTime = time.process_time()
email_data = reader.readFile("info_file.csv")
num = int(input("Enter number of threads, you want to use: "))
flag = True
while (flag):
if (len(email_data) % num == 0):
flag = False
else:
num = int(input("Not applicable entry. Enter again: "))
pivot = int(len(email_data)/num) #pivot point that breaks the data into pieces for each thread
list_of_threads = []
for i in range(num+1):
thread_worker = threading.Thread(target=sendEmail, args=(email_data[pivot*i:pivot*(i+1)],))
list_of_threads.append(thread_worker)
drone.C = bestJob.C
drone.nextAvailableTime += jobTime + 1
drone.weight = 0
print "Finished time with {}/{} remaining jobs".format(len(allJobs), totalJobs)
return commands
# find closest warehouse with item 0
# then build the list of items this warehouse (still), this will be the last stop of the drone
# go on to the next closest warehouse with the next missing item
# stop when: either the order is fully satisfied, or the drone is completely loaded
# if order is satisfied, tell drone to take this trip (starting with the furthest warehouse)
# if drone is full: tell the drone to take this trip
# take another drone to do the rest
#
# for this order, we can compute the num drones needed and the duration (max time for all drones)
# we choose a start time when all drones are available
# remember for each drone the time when they get available
if __name__ == '__main__':
filenames = ['busy_day', 'mother_of_all_warehouses', 'redundancy']
for filename in filenames:
rd = readFile(filename)
commands = secondAl(rd)
with open(filename + '-result.txt', 'w') as f:
f.write(str(len(commands)) + "\n")
for com in commands:
f.write(com.printCommand() + "\n")