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# Elegant Way To Apply Curried Function To Indexed Traversal New update

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### Elegant way to apply curried function to indexed traversal

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

return a + b

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.

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