import json
from threading import Lock
class SingletonMeta(type):
_instances = {}
_lock: Lock = Lock()
def __call__(cls, *args, **kwargs):
with cls._lock:
if cls not in cls._instances:
instance = super().__call__(*args, **kwargs)
cls._instances[cls] = instance
return cls._instances[cls]
class DataManager(metaclass=SingletonMeta):
def __init__(self, filename):
self.filename = filename
self.data = None
self.index = None
self.load_data()
def load_data(self):
with open(self.filename, 'r') as file:
self.data = json.load(file)
self.index_data()
def index_data(self):
# Implement your indexing logic here.
# For example, if your data is a list of dicts:
self.index = {d['key']: d for d in self.data}
def get_data_by_key(self, key):
return self.index.get(key)
# Usage:
data_manager = DataManager('data.json')
print(data_manager.get_data_by_key('some_key'))
from abc import ABC, abstractmethod
class Shape(ABC):
@abstractmethod
def area(self):
pass
@abstractmethod
def perimeter(self):
pass
class Rectangle(Shape):
def __init__(self, width, height):
self.width = width
self.height = height
def area(self):
return self.width * self.height
def perimeter(self):
return 2 * (self.width + self.height)
# r = Shape() # TypeError: Can't instantiate abstract class Shape with abstract methods area, perimeter
rect = Rectangle(10, 20)
print(rect.area())
print(rect.perimeter())