List Ops

List Ops

Medium

Instructions

Implement basic list operations.

In functional languages list operations like length, map, and reduce are very common. Implement a series of basic list operations, without using existing functions.

The precise number and names of the operations to be implemented will be track dependent to avoid conflicts with existing names, but the general operations you will implement include:

  • append (given two lists, add all items in the second list to the end of the first list);
  • concatenate (given a series of lists, combine all items in all lists into one flattened list);
  • filter (given a predicate and a list, return the list of all items for which predicate(item) is True);
  • length (given a list, return the total number of items within it);
  • map (given a function and a list, return the list of the results of applying function(item) on all items);
  • foldl (given a function, a list, and initial accumulator, fold (reduce) each item into the accumulator from the left);
  • foldr (given a function, a list, and an initial accumulator, fold (reduce) each item into the accumulator from the right);
  • reverse (given a list, return a list with all the original items, but in reversed order).

Note, the ordering in which arguments are passed to the fold functions (foldl, foldr) is significant.

Implementing your own list operations

Rust has a rich iterator system, using them to solve this exercise is trivial. Please attempt to solve the exercise without reaching for iterator methods like map(), flatten(), filter(), count(), fold(), chain(), rev() and similar. The next() and next_back() methods do not count.

Avoiding allocations

The exercise is solvable without introducing any additional memory allocations in the solution. See if you can create your own iterator type instead of creating an iterator from a collection.

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