def __init__(self, name=None):
"""Initialize a new System object. This must be run before the system can be used.
Args:
name (str): The name of the system
>>> print __init__(name='sysname')
"""
if name:
self._name = name
else:
self._name = "Untitled"
self._v1x = 0.0
self._v2x = 0.0
self._v3x = 0.0
self._v1y = 0.0
self._v2y = 0.0
self._v3y = 0.0
self._v1z = 0.0
self._v2z = 0.0
self._v3z = 0.0
self._nbFunc = 0
self._combinationRule = 0
self._genpairs = True
self._ljCorrection = 0
self._coulombCorrection = 0
self._molecules = OrderedDict.OrderedDict()
self._atomtypes = HashMap.HashMap()
self._forces = OrderedSet.OrderedSet()
self._boxVector = []
def main():
path = get_path()
if path is None:
return 1
os.chdir(path)
hash_map = HashMap.HashMap()
for filename in os.listdir(os.getcwd()):
size = os.path.getsize(filename)
hash_map.process(size, filename)
return 0
def main():
data = open('dataset.csv')
H = HashMap(20)
keys = []
passenger = None
for line in data:
passenger = Passenger(tuple(line.split(',')[1:]))
keys.append(passenger.key)
H.insert(passenger)
for key in keys:
try:
print(H.search(key).details[5])
except:
print(key + ' not found')
def __init__(self, file):
'''Mètode constructor'''
self._hashMap = HashMap()
self.appendText(file)
try:
print(m.find(6))
except Exeption.NotFoundException:
print("Item not found")
try:
print(m[7])
except Exeption.NotFoundException:
print("Item not found")
print("size of map: " + str(len(m)))
try:
m.remove(5)
print("Item removed")
except Exeption.NotFoundException:
print("Item not found")
try:
print(m.find(5))
except Exeption.NotFoundException:
print("Item not found")
print("size of map: " + str(len(m)))
if __name__ == "__main__":
print("\nTESTING BUCKET")
m = Bucket.Bucket()
test_map(m)
print("\nTESTING HASHMAP")
m = HashMap.HashMap()
test_map(m)
import datetime
import Package
import HashMap
import Truck
#This section creates a blank list and takes the data from the csv file and creates instance of the packages which are put into the package list O(N)
packageList = []
with open('PackageSheet.csv', newline='') as csvfile:
DataReader = csv.reader(csvfile)
for row in DataReader:
packageList.append(
Package.Package(row[0], row[1], row[2], row[3], row[4], row[5],
row[6], row[7], 'At Hub', ''))
#This section creates a Hash table that is populated using the package ID as the key and the package itself as the value O(N)
hashTable = HashMap.HashMap()
for package in packageList:
hashTable.add(int(package.packageID), package)
#This is a dictionary of locations for reference O(1)
locations = {
'4001 South 700 East': 0,
'1060 Dalton Ave S': 1,
'1330 2100 S': 2,
'1488 4800 S': 3,
'177 W Price Ave': 4,
'195 W Oakland Ave': 5,
'2010 W 500 S': 6,
'2300 Parkway Blvd': 7,
'233 Canyon Rd': 8,
'2530 S 500 E': 9,
import HashMap
h = HashMap()
h.add('Bob', '567-8888')
h.add('Ming', '293-6753')
h.add('Ming', '333-8233')
h.add('Ankit', '293-8625')
h.add('Aditya', '852-6551')
h.add('Alicia', '632-4123')
h.add('Mike', '567-2188')
h.add('Aditya', '777-8888')
h.print()
h.delete('Bob')
h.print()
print('Ming: ' + h.get('Ming'))
print(h.keys())
def __init__(self):
self._playerToRating = HashMap()
def atualizaFipe():
carsTree = None
carrosList = []
carrosMap = {}
fipeMap = dicionario.HashMap()
fipeURL = "http://fipeapi.appspot.com/api/1/carros/marcas.json"
tknzr = WhitespaceTokenizer()
chromeOptions = webdriver.ChromeOptions(
) # seta configs pra nao carregar imagens (aumenta velocidade do crawler)
prefs = {"profile.managed_default_content_settings.images": 2}
chromeOptions.add_experimental_option("prefs", prefs)
chromeOptions.add_argument("--incognito")
browser = webdriver.Chrome(chrome_options=chromeOptions)
browser.get(fipeURL)
page_json = soup(browser.page_source,
'html5lib').find("body").find("pre").text
filename = 'fipe.csv'
f = open(filename, "w")
jsonMarcas = json.loads(page_json)
mapMarcas = dicionario.HashMap()
mapVeiculos = dicionario.HashMap()
for marca in jsonMarcas:
browser.get('http://fipeapi.appspot.com/api/1/carros/veiculos/' +
str(marca['id']) + '.json')
time.sleep(1)
modelos = soup(browser.page_source,
'html5lib').find("body").find("pre").text
modelos = json.loads(modelos)
mapMarcas.put(marca["fipe_name"], modelos)
for modelo in modelos:
print(modelo)
modeloNome = tknzr.tokenize(modelo['name'])
if modeloNome[0].upper() == "GRAND" or (
len(modeloNome) > 1 and modeloNome[1].upper()
== "LOUNGE") or modeloNome[0].upper() == "XC":
modeloNome = str(modeloNome[0] + modeloNome[1])
elif modeloNome[0].upper() == "SANTA":
modeloNome = str(modeloNome[0] + modeloNome[1][:2])
else:
modeloNome = modeloNome[0]
modeloNome = modeloNome.upper()
modeloNome = modeloNome.replace("-", "")
modeloNome = modeloNome.replace("!", "")
if modelo['fipe_marca'].upper() == 'VW - VOLKSWAGEN':
modelo['fipe_marca'] = 'VOLKSWAGEN'
elif modelo['fipe_marca'].upper() == 'GM - CHEVROLET':
modelo['fipe_marca'] = 'CHEVROLET'
elif modelo['fipe_marca'] == 'Citro\u00ebn':
modelo['fipe_marca'] = 'CITROEN'
elif modelo['fipe_marca'].upper() == 'KIA MOTORS':
modelo['fipe_marca'] = 'KIA'
f.write(modelo["fipe_marca"].upper() + "," + str(marca['id']) +
"," + modeloNome + "," + modelo["id"] + "\n")
with open('fipe.csv', 'r') as f:
reader = csv.reader(f)
for row in reader:
fipeMap.put(
str(row[0]) + str(row[2]),
str(row[1]) + " " +
str(row[3])) #pair(fipeMarca+fipeNome,marcaID+nomeID)
with open('carros.csv', 'r') as f:
reader = csv.reader(f)
for row in reader:
chave = str(row[1]) + str(row[2]) + str(
row[3]) #fabricante + modelo + ano
objId = fipeMap.getObj(
str(row[1]) + str(row[2])
) #guarda objeto com os varios codigos fip para aquele veículo. (vamos precisar iterar ele depois quando formos acessar os dados via selenium)
car1 = {
"chave": chave,
"fabricante": row[1],
"modelo": row[2],
"ano": row[3],
"objID": objId
} #tal iteracao é para driblar falta de informacao dos veículos das revendedoras (fipe usa nome completo com especificacoes e as revendedoras nao)
if carrosList.count(car1) == 0:
carrosList.append(car1)
print(len(carrosList))
print(carrosList)
i = 0
filename = "carrosEFipe.csv" #abe arquivo para escrita
fw = open(filename, "w")
for car1 in carrosList:
i += 1
print(i)
for j in range(1, 4, 1):
for ID in car1['objID'].listValues:
ID = tknzr.tokenize(str(ID))
marcaID = ID[0]
fipeID = ID[1]
print("\t" + fipeID)
year = str(car1["ano"]) + "-" + str(j)
print("\t" + year)
time.sleep(
0.5
) # servidor da api tem limite de requisicoes por minuto
browser.get(
"http://fipeapi.appspot.com/api/1/carros/veiculo/" +
marcaID + "/" + fipeID + "/" + year + ".json")
elem = soup(browser.page_source,
"html5lib").find("body").find("h1")
if elem is not None and elem.text == '500 Internal Server Error':
continue
else:
break
if elem is not None and elem.text == '500 Internal Server Error':
continue
else:
carroFipeInfo = soup(browser.page_source,
'html5lib').find("body").find("pre").text
carroFipeInfo = json.loads(carroFipeInfo)
preco = tknzr.tokenize(carroFipeInfo["preco"])
preco = preco[1]
preco = preco[:len(preco) - 3].replace(".", "")
print(car1["chave"])
fw.write(car1["chave"] + "," + preco + "\n")
break
