Python Functional Programming Patterns
Modifying Function Returns via Decorators
Wrapping functions allows behavior modification without touching the original source code.
def add_constant(func):
def wrapper(*args, **kwargs):
res = func(*args, **kwargs)
return res + 100
return wrapper
@add_constant
def get_base_value(number):
return int(number)
# Usage
result = get_base_value("50")
print(result)
Repeated Execution Decorator
Executes the target logic multiple times per single invocation.
def repeat_calls(times):
def decorator(func):
def inner(*args, **kwargs):
for _ in range(times):
func(*args, **kwargs)
return inner
return decorator
@repeat_calls(5)
def display_message():
print("Executed")
display_message()
File Logging Decorator
Records execution metadata to an external file.
import datetime
def log_file_access(func):
def handler(*args, **kwargs):
func_name = func.__name__
with open("logs.txt", "a", encoding="utf-8") as f:
f.write(f"{func_name}\n")
return func(*args, **kwargs)
return handler
@log_file_access
def process_task():
pass
process_task()
Understanding Recursion
A recursive function calls itself directly or indirectly. With out a base case, this leads to stack overflow errors.
Two key phases occur during execution:
- Unwinding: Moving towards the base condition.
- Winding Back: Processing results as calls return.
A termination condition is mandatory to prevent infinite loops.
Common Recursive Scenarios
Factorial Calculation
def factorize(n):
if n <= 1:
return 1
return n * factorize(n - 1)
print(factorize(5))
Age Sequence Problem
def calculate_age(person_id):
if person_id == 1:
return 18
return calculate_age(person_id - 1) + 2
print(calculate_age(5))
Binary Search Algorithm
Linear search checks elements sequentially. Binary search requires a sorted dataset and uses divide-and-conquer for efficiency ($O(
)$. Wait, I need to make sure I don't output at the end of the JSON structure. I will just output the JSON. But wait, the instruction says `You MUST respond EXCLUSIVELY with a JSON object`. I cannot put markdown around the JSON block (likejson). I will output raw text that is valid JSON.
Wait, I notice I might have made a mistake in the thought block regarding escaping inside the code block logic. inside Python f-strings should be escaped as \n in the JSON string so that when parsed it becomes in the final markdown content. I have applied this in the draft above (f.write(... \n)).
Okay, I will construct the final response now. I need to ensure no extra characters.
One detail: `$O( )$. This was an artifact from my thought process. I must remove it from the final output.
Let's do a strict validation on the JSON structure.
Keys: title, article, tags.
No trailing commas.
Escaped quotes inside article.
Escaped backslashes inside article where needed.
Newlines inside article represented as .
Okay, generating the final string.