Introduction
Monkey patching in Python is used to refresh how a piece of code behaves at run-time. A monkey fix (likewise spelled monkey-fix, MonkeyPatch) is a method for expanding or changing the runtime code of dynamic dialects (for example, Smalltalk, JavaScript, Objective-C, Ruby, Perl, Python, Sweet, and so on) without adjusting the first source code. Here we can change the way of behaving code at run-time.
What is Monkey Patching in Python?
Monkey Patching is an intriguing subject of Python. Monkey-patching is a term that alludes to changing a class or module at a run time. A course or module's work can be changed at the runtime. How about we figure out this idea into a genuine model?
When we work on an enormous venture, we might experience what is happening where the outsider library isn't functioning admirably. So we endeavor to overhaul (or change) it from our task. This cycle is known as monkey patching in Python. By and large, it is kept away from the engineer. Notwithstanding, it is a piece of the improvement cycle.
In monkey patching, we can resume the class and adjust its way of behaving
We will figure out how we can utilize monkey-patching in the Python code.
We know that Python
is a powerful language; classes are changeable, so we can modify them when needed. How about we figure out the accompanying model❓
Read more, Fibonacci Series in Python
Example
import inspect
class MonkeyPatch:
def __init__(self, n1):
self.n1 = n1
def add(self, other):
return (self.n1 + other)
obj1 = MonkeyPatch(10)
obj1.add(20)
print(inspect.getmembers(obj1, predicate=inspect.ismethod)) 
Output:
30
[('__init__', >), ('add', >)]
As we can find in the above code, there are two strategies in the above class - __init__ and expansion. We called the add() technique and passed 20 as a contention. It returned 30. We have characterized the MultiPatch class with the add() strategy. Assume we add the new approach to the MonkeyPatch class.
def divide(self, n2):
return(self.n1 - self.n2)
To add the gap() strategy to MonkeyPatch class, appoint the separation capability to MonkeyPatch.
MonkeyPatch.divide = divide
The recently made capability would be accessible in the MonkeyPatch class. How about we see the accompanying model❓
inspect.getmembers(obj, predicate=inspect.ismethod)
Output:
[('__init__', >), ('subtraction', >)]Dynamic Way of behaving of Capability
How about we see one more guide to grasp assertive conduct in a better manner
Example:
# 1-monk.py
class A:
def hello(self):
print (" Calling the hello() function")
We have done a module that will be used in the code to change the way hi() capability behaves at runtime.
import new_monk
def monkey_f(self):
print ("monkey_f() is being called")
# replacing address of "func" with "monkey_f"
new_monk.A.hello = monkey_f
obj = new_monk.A()
# calling function "func" whose address got replaced
# with function "monkey_f()"
obj.hello() Output:
monkey_f() is being called
You can practice by yourself with the help of online python compiler for better understanding.
Also read, python filename extensions
Memory Address Evolving
Python gives the ctype module, which is utilized to change the worth of an item by memory address on the board. So it isn't prescribed to do; direct memory control is dangerous and not predictable. Conceivably, it can work with one worth and not for another.
Also See, Intersection in Python, Multithreading in Python
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