python_timed_cache.py

python_timed_cache.py

import time
from functools import wraps

def timed_cache(expiration):
    cache = {}

    def decorator(func):
        @wraps(func)
        def wrapper(*args):
            now = time.time()
            if args in cache:
                value, timestamp = cache[args]
                if now - timestamp < expiration:
                    return value  # Return cached value
            result = func(*args)
            cache[args] = (result, now)  # Update cache
            return result
        return wrapper
    return decorator

# Usage example
@timed_cache(expiration=10)  # Cache expires after 10 seconds
def expensive_function(x):
    print(f"Computing for {x}...")
    return x * x

print(expensive_function(2))


li = [{"k1": "swati", "k2": "deepanshu"}, {"k1": "neha", "k2": "megha"}, ]


mapp = {}
for d in li:
    in_map = {}
    first_key = None
    for k,v in d.items():
        if first_key:
            in_map[first_key] = v
            mapp.update(in_map)
        else:
            first_key = v
            in_map[v] = ""


print(mapp)