# Memoization using decorators in Python

Recursion is a programming technique where a function calls itself repeatedly till a termination condition is met. Some of the examples where recursion is used are: calculation of fibonacci series, factorial etc. But the issue with them is that in the recursion tree, there can be chances that the sub-problem that is already solved is being solved again, which adds to an overhead.

Memoization is a technique of recording the intermediate results so that it can be used to avoid repeated calculations and speed up the programs. It can be used to optimize the programs that use recursion. In Python, memoization can be done with the help of function decorators.

Let us take the example of calculating the factorial of a number. The simple program below uses recursion to solve the problem:

`# Simple recursive program to find factorial ` `def` `facto(num): ` ` ` `if` `num ` `=` `=` `1` `: ` ` ` `return` `1` ` ` `else` `: ` ` ` `return` `num ` `*` `facto(num` `-` `1` `) ` ` ` ` ` `print` `(facto(` `5` `)) ` |

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The above program can be optimized by memoization using decorators.

`# Factorial program with memoization using ` `# decorators. ` ` ` `# A decorator function for function 'f' passed ` `# as parameter ` `def` `memoize_factorial(f): ` ` ` `memory ` `=` `{} ` ` ` ` ` `# This inner function has access to memory ` ` ` `# and 'f' ` ` ` `def` `inner(num): ` ` ` `if` `num ` `not` `in` `memory: ` ` ` `memory[num] ` `=` `f(num) ` ` ` `return` `memory[num] ` ` ` ` ` `return` `inner ` ` ` `@memoize_factorial` `def` `facto(num): ` ` ` `if` `num ` `=` `=` `1` `: ` ` ` `return` `1` ` ` `else` `: ` ` ` `return` `num ` `*` `facto(num` `-` `1` `) ` ` ` `print` `(facto(` `5` `)) ` |

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Explanation:

1. A function called *memoize_factoria*l has been defined. It’s main purpose is to store the intermediate results in the variable called memory.

2. The second function called *facto* is the function to calculate the factorial. It has been annotated by a decorator(the function memoize_factorial). The *facto* has access to the *memory* variable as a result of the concept of closures.The annotation is equivalent to writing,

facto = memoize_factorial(facto)

3. When facto(5) is called, the recursive operations take place in addition to the storage of intermediate results. Every time a calculation needs to be done, it is checked if the result is available in *memory*. If yes, then it is used, else, the value is calculated and is stored in *memory*.

4. We can verify the fact that memoization actually works, please see output of this program.

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