from difflib import SequenceMatcher

def fuzzy_match(query, products, threshold=0.6):
    matches = []
    for product in products:
        ratio = SequenceMatcher(None, query.lower(), product.lower()).ratio()
        if ratio >= threshold:
            matches.append((product, f"{ratio:.2f}"))
    return matches

[('iPhone 14 Pro Max', '0.88')]

from collections import namedtuple

Parts = {
    'id_num': '1234',
    'desc': 'Ford Engine',
    'cost': 1200.00,
    'amount': 10
}

parts = namedtuple('Parts', Parts.keys())(**Parts)
print(parts)
# Parts(amount=10, cost=1200.0, id_num='1234', desc='Ford Engine')

# Медленно: обращение к свойствам объекта в цикле
class Processor:
    def __init__(self, data):
        self.data = data

    def compute(self):
        total = 0
        for item in self.data:
            total += item * item
        return total

# Быстрее: кэшируем ссылку на data как локальную переменную
class Processor:
    def __init__(self, data):
        self.data = data

    def compute(self):
        data = self.data  # локальная переменная
        total = 0
        for item in data:
            total += item * item
        return total