Elegant Way To Apply Curried Function To Indexed Traversal New update

One elegant way to apply a curried function to an indexed traversal is by using the mapIndexed function. The mapIndexed function is a higher-order function that takes a curried function as its first argument and a collection as its second argument. It applies the function to each element of the collection, along with its index.

Here is an example in Python:

python
from functools import partial

def add(a, b):
    return a + b

def add_indexed(i, a, b):
    return add(a, b) + i

add_with_index = partial(add_indexed, 10)
lst = [1, 2, 3, 4]
result = list(map(lambda x: add_with_index(*x), enumerate(lst)))
print(result) # Output: [11, 13, 15, 17]

In this example, the add function takes two arguments and returns their sum. The add_indexed function takes an additional index argument and returns the sum of its two other arguments plus the index. The add_with_index function is a curried version of add_indexed that takes only two arguments and fixes the index to 10.

The map function applies a lambda function to each element of the lst list along with its index, which is obtained using the enumerate function. The lambda function applies the add_with_index function to each element-index pair. The resulting list is [11, 13, 15, 17], which is the sum of each element in the list plus its index, plus 10.