The restaurant decided to find out the number of unique customers and how much each of them paid. Write a program that accepts a dictionary with customers and returns unique customers and their total costs in the institution.
The first line contains a single number of n & mdash; The number of transactions records. Each of the following n lines contains the name of the client (line without spaces) and the amount of purchase (an integer), separated by a gap.
One line containing the python dictionary, where the keys & mdash; These are unique customer names, and values & mdash; Their total costs.
4
Peter 300
Anna 150
Peter 100
Anna 400
{'Peter': 400, 'Anna': 550}
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# Инициализируем пустой словарь для хранения итоговых сумм по клиентам
client_totals = {}
# Считываем первое число - общее количество записей о покупках
try:
num_records = int(input())
# Проверяем, что количество записей не отрицательное
if num_records < 0:
# В случае отрицательного числа, считаем это некорректным вводом
# и выводим пустой словарь, так как транзакций не будет.
print({})
else:
# Запускаем цикл, который выполнится указанное количество раз
for _ in range(num_records):
# Считываем строку и разделяем ее на имя и сумму по пробелу
# .split() по умолчанию разделяет по пробелам и возвращает список строк
parts = input().split()
name = parts[0]
amount = int(parts[1])
# Используем метод словаря get(). Он безопасен и удобен.
# Если клиент (ключ 'name') уже есть в словаре, get() вернет его текущую сумму.
# Если клиента еще нет, get() вернет значение по умолчанию, которое мы указали (0).
# Затем к полученному значению мы прибавляем новую сумму и записываем результат в словарь.
client_totals[name] = client_totals.get(name, 0) + amount
# Выводим итоговый словарь с результатами
print(client_totals)
except (ValueError, IndexError):
# Эта часть кода сработает, если ввод некорректен.
# Например, если вместо числа введено слово, или в строке с транзакцией нет суммы.
# В таких случаях программа выведет пустой словарь, что является логичным
# поведением при невозможности обработать данные.
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