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Python Example

  • Non Thread Safe
"""
Singleton Design Pattern

Intent: Lets you ensure that a class has only one instance, while providing a
global access point to this instance. One instance per each subclass (if any).
"""


class SingletonMeta(type):
"""
The Singleton class can be implemented in different ways in Python. Some
possible methods include: base class, decorator, metaclass. We will use the
metaclass because it is best suited for this purpose.
"""

_instances = {}

def __call__(cls, *args, **kwargs):
"""
Possible changes to the value of the `__init__` argument do not affect
the returned instance.
"""
if cls not in cls._instances:
instance = super().__call__(*args, **kwargs)
cls._instances[cls] = instance
return cls._instances[cls]


class Singleton(metaclass=SingletonMeta):
def some_business_logic(self):
"""
Finally, any singleton should define some business logic, which can be
executed on its instance.
"""

# ...


if __name__ == "__main__":
# The client code.

s1 = Singleton()
s2 = Singleton()

if id(s1) == id(s2):
print("Singleton works, both variables contain the same instance.")
else:
print("Singleton failed, variables contain different instances.")
Singleton works, both variables contain the same instance.
  • Thread Safe
"""
Singleton Design Pattern

Intent: Lets you ensure that a class has only one instance, while providing a
global access point to this instance. One instance per each subclass (if any).
"""

from threading import Lock, Thread


class SingletonMeta(type):
"""
This is a thread-safe implementation of Singleton.
"""

_instances = {}

_lock: Lock = Lock()
"""
We now have a lock object that will be used to synchronize threads during
first access to the Singleton.
"""

def __call__(cls, *args, **kwargs):
"""
Possible changes to the value of the `__init__` argument do not affect
the returned instance.
"""
# Now, imagine that the program has just been launched. Since there's no
# Singleton instance yet, multiple threads can simultaneously pass the
# previous conditional and reach this point almost at the same time. The
# first of them will acquire lock and will proceed further, while the
# rest will wait here.
with cls._lock:
# The first thread to acquire the lock, reaches this conditional,
# goes inside and creates the Singleton instance. Once it leaves the
# lock block, a thread that might have been waiting for the lock
# release may then enter this section. But since the Singleton field
# is already initialized, the thread won't create a new object.
if cls not in cls._instances:
instance = super().__call__(*args, **kwargs)
cls._instances[cls] = instance
return cls._instances[cls]


class Singleton(metaclass=SingletonMeta):
value: str = None
"""
We'll use this property to prove that our Singleton really works.
"""

def __init__(self, value: str) -> None:
self.value = value

def some_business_logic(self):
"""
Finally, any singleton should define some business logic, which can be
executed on its instance.
"""


def test_singleton(value: str) -> None:
singleton = Singleton(value)
print(singleton.value)


if __name__ == "__main__":
# The client code.

print("If you see the same value, then singleton was reused (yay!)\n"
"If you see different values, "
"then 2 singletons were created (booo!!)\n\n"
"RESULT:\n")

process1 = Thread(target=test_singleton, args=("FOO",))
process2 = Thread(target=test_singleton, args=("BAR",))
process1.start()
process2.start()
If you see the same value, then singleton was reused (yay!)
If you see different values, then 2 singletons were created (booo!!)

RESULT:

FOO
FOO