def input_without_N(lst):
x = lst
v = Validation()
y = LinkedList()
first_iter = True
while x.length() != y.length():
if not first_iter:
print("Both length must be equal!")
print("Input Y(double ENTER to stop): ")
while True: # while user will not input "ENTER", he enters a list
i = input()
if i == "":
break
if not v.positive_check(i):
print(i, "was skipped because it's not a number!")
else:
dot = False
for z in i:
if z == ".":
dot = True
break
if dot:
y.append(float(i))
else:
y.append(int(i))
first_iter = False
result = create_z(
x, y,
x.length()) #call a function to create list "z" according to task
return result
def init(self):
self.__linkDict = dict()
self.__sentenceDict = dict()
self.__keywordDict = dict()
self.__distanceDict = dict()
self.__validation = Validation.Validation()
self.__validation.init_dic()
self.__validation.init_base_normalized()
self.__sentenceTokenizer = TextRank.SentenceTokenizer()
def insert(lst, filename, index):
file = open(filename)
temp = file.read().split("\n")
file.close()
if temp[0] == "":
print("FILE is empty!")
return
correct = []
for i in temp:
if not Validation().positive_check(i):
print(i, "was skipped because it's not a number!")
else:
dot = False
for z in i:
if z == ".":
dot = True
break
if dot: correct.append(float(i))
else: correct.append(int(i))
for i in correct:
lst.insert(index, i)
index += 1
def input_with_N(lst):
x = lst
v = Validation()
y = LinkedList()
N = x.length()
start = input("START:")
while not v.positive_check(start):
start = input("Start must be a number: ")
invalid = True
while invalid:
for z in start:
invalid = False
if z == ".":
invalid = True
start = input("Start must be an integer:")
while not v.positive_check(start):
start = input("Start must be a number: ")
break
start = int(start)
end = input("END:")
while not v.positive_check(end):
end = input("End must be a number: ")
invalid = True
while invalid:
for z in end:
invalid = False
if z == ".":
invalid = True
end = input("End must be an integer:")
while not v.positive_check(end):
end = input("End must be a number: ")
break
end = int(end)
for j in range(N): #generate nums for "y"
y.append(random.randint(start, end))
result = create_z(x, y, N)
return result
def __init__(self, dockarea):
self.obj_validation = Validation.Validation()
self.obj_appconfig = Appconfig()
self.obj_dockarea = dockarea
def menu():
contex = Contex()
List = LinkedList()
v = Validation()
while True:
choice = input(
"1 - Use strategy 1 to insert into the list\n2 - Use strategy 2 to insert into the list\n3 - Generate data\n4 - Delete the item at the specified position\n5 - Delete multiple items within the start and end positions\n6 - Method for working with the list\n7 - Display a list\n8 - Exit\nYour choice is: "
)
while not v.digit_check(choice):
choice = input("Choise must be a positive number: ")
choice = int(choice)
while not (choice == 1 or choice == 2 or choice == 3 or choice == 4 or
choice == 5 or choice == 6 or choice == 7 or choice == 8):
choice = input("Choise must be in range[1-8]: ")
while not v.digit_check(choice):
choice = input("Choise must be a number: ")
choice = int(choice)
if choice == 1:
contex.setStrategy(ConcreteStrategyIterator())
if choice == 2:
contex.setStrategy(ConcreteStrategyFile())
if choice == 3:
if contex.getStrategy() is None:
print("Choose a strategy first!")
continue
contex.execudeStrategy(List)
List.display()
if choice == 4:
if List.length() == 0:
print("Your list is empty!")
continue
index = input("Index: ")
while not v.digit_check(index):
index = input("Index must be a positive number: ")
index = int(index)
while index > List.length() or index < 0:
index = input("Index must be in list range: ")
while not v.digit_check(index):
index = input("Index must be a positive number: ")
index = int(index)
List.erase(index)
if choice == 5:
if List.length() == 0:
print("Your list is empty!")
continue
start = 1
end = 0
first_iter = True
while start > end or first_iter:
if not first_iter:
print("MAKE SURE, START <= END")
start = input("START:")
while not v.digit_check(start):
start = input("Start must be a positive number: ")
start = int(start)
while start > List.length() or start < 0:
index = input("Start must be in list range: ")
while not v.digit_check(index):
index = input("Start must be a positive number: ")
start = int(start)
end = input("END:")
while not v.digit_check(end):
end = input("End must be a positive number: ")
end = int(end)
while end > List.length() or end < 0:
end = input("End must be in list range: ")
while not v.digit_check(end):
end = input("End must be a positive number: ")
end = int(end)
first_iter = False
List.cut(start, end)
if choice == 6:
if List.length() == 0:
print("Your list is empty!")
continue
user_choice(List)
if choice == 7:
List.display()
if choice == 8:
break
'\n',
)
oper = input('Enter from 0 to 9: ')
menu = ''
if oper == '0':
menu = oper
while (menu != 'menu') & (menu != '0'):
if oper == '1':
idd = ForeignID()
for i in range(len(dictio)):
pre = dictio[i] + ': '
idd.set(dictio[i], input(pre))
cl.add_to_collec(idd)
print(cl)
elif oper == '2':
file = Validation().file_existing("Text.txt", "r")
cl.add_from_file(file)
file.close()
print(cl)
elif oper == '3':
file = Validation().file_existing("Text.txt", "w")
cl.add_to_file(file)
file.close()
elif oper == '4':
iDn = input('Введіть ідентифікатор по якому треба видалити: ')
cl.delete_from_collec(iDn)
print(cl)
elif oper == '5':
iDn = input(
'Введіть ідентифікатор по якому треба видалити з файлу: ')
file = Validation().file_existing("Text.txt", "w")
#THE PURPOSE OF THIS SCRIPT IS TO CALL THE OTHER METHODS AND PRINT RESULTS
#run main to run the other scripts.
# modules are run for 10,000 simulations as a compromise between run-time
# and acheiving good results for the monte-carlo optimisation
# in the project 50,000 simulations was used.
swaption_vol_cva_dataset_path = 'Data/SwaptionVolMatrix_5Y.csv'
swap_curve_cva_dataset_path = 'Data/SpotCurve_5Y.csv'
swaption_vol_extended_dataset_path = 'Data/SwaptionVolMatrix.csv'
swap_curve_extended_dataset_path = 'Data/SpotCurve.csv'
# run cva calculation
cva_object = cva.CVASwap()
# Martingale testing and zero mean diffusion methods in here
validate = val.Validation()
# Carry out analytical calibration for extended dataset
libor_fit_parameters_extended = lmm.LMM(swaption_vol_extended_dataset_path,
swap_curve_extended_dataset_path)
libor_fit_parameters_extended.volatility.mc_adjustment_factor = 1
libor_fit_parameters_extended.volatility.a = 0.5
libor_fit_parameters_extended.volatility.b = 0.5
libor_fit_parameters_extended.volatility.c = 0.5
libor_fit_parameters_extended.volatility.d = 0.5
libor_fit_parameters_extended.volatility.fit_parameters()
s = 'Extended dataset analytical calibration - a = ' + str(libor_fit_parameters_extended.volatility.a) \
+ '\n Extended dataset analytical calibration - b = ' + str(libor_fit_parameters_extended.volatility.b) \
+ '\n Extended dataset analytical calibration - c = ' + str(libor_fit_parameters_extended.volatility.c) \
+ '\n Extended dataset analytical calibration - d = ' + str(libor_fit_parameters_extended.volatility.d)
print(s)
def __init__(self):
self.obj_validation = Validation.Validation()
self.obj_appconfig = Appconfig()
