Making large AI models cheaper, faster and more accessible
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import threading
class SingletonMeta(type):
"""
Thread-safe Singleton Meta with double-checked locking.
Reference: https://en.wikipedia.org/wiki/Double-checked_locking
"""
_instances = {}
_lock = threading.Lock()
def __call__(cls, *args, **kwargs):
# First check (without locking) for performance reasons
if cls not in cls._instances:
# Acquire a lock before proceeding to the second check
with cls._lock:
# Second check with lock held to ensure thread safety
if cls not in cls._instances:
instance = super().__call__(*args, **kwargs)
cls._instances[cls] = instance
else:
assert (
len(args) == 0 and len(kwargs) == 0
), f"{cls.__name__} is a singleton class and an instance has been created."
return cls._instances[cls]