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Conversion of data types is the most common problem across CS domain nowdays. One such problem can be converting List elements to single values lists in tuples. This can have application in data preprocessing domain. Let's discuss certain ways in which this task can be performed.
Input : test_list = [1, 3, 5, 6, 7, 9]
Output : ([1], [3], [5], [6], [7], [9])Input : test_list = [1]
Output : ([1])
Method #1: Using list comprehension + tuple() This is one of the ways in which this task can be performed. In this, we construct and iterate the list using list comprehension and finally convert the result list to tuple using tuple().
The original list is : [6, 8, 4, 9, 10, 2] Tuple after conversion : ([6], [8], [4], [9], [10], [2])
Time complexity: O(n), where n is the length of the input list test_list.
Auxiliary space: O(n), as we are creating a new list with single-valued lists for each element in the input list, which has the same length as the input list. This new list is stored in the variable res.
Method #2 : Using map() + list() + zip() + tuple() The combination of above functions can be used to solve this problem. In this, we perform task of extending logic of conversion to each element using map(), and list conversion to each element using zip(). At end, the result is converted back to tuple using tuple().
The original list is : [6, 8, 4, 9, 10, 2] Tuple after conversion : ([6], [8], [4], [9], [10], [2])
Time complexity: O(N)
Auxiliary space: O(N)
In this approach, the map() function is used to apply a lambda function to each element of the original list. The lambda function creates a single-valued list containing the element as its only value. The resulting map object is then converted to a tuple using the tuple() function.
The original list is : [6, 8, 4, 9, 10, 2] Tuple after conversion : ([6], [8], [4], [9], [10], [2])
Time complexity: O(n)
Auxiliary space: O(n)
Method#4: Using Recursive method.
Algorithm:
The original list is : [6, 8, 4, 9, 10, 2] Tuple after conversion : ([6], [8], [4], [9], [10], [2])
Time Complexity:
The time complexity of the list_to_tuple_of_single_valued_lists function is O(n^2), where n is the length of the input list. This is because the function concatenates a tuple of length 1 with the result of recursively calling itself on a list of length n-1, resulting in a tuple of length n. Each concatenation takes O(n) time, so the total time complexity is O(n^2).
Auxiliary Space:
The space complexity of the list_to_tuple_of_single_valued_lists function is also O(n^2), where n is the length of the input list. This is because the function creates a new tuple of length 1 for each element of the input list, and the maximum depth of the recursion is also n. Therefore, the space complexity is proportional to the square of the length of the input list.
Method #5: Using a for loop and append()
This approach involves using a for loop to iterate through the elements of the input list and then using the append() method to create a new list containing single-valued lists. Finally, we can use the tuple() method to convert the list into a tuple.
Step-by-step approach:
The original list is: [6, 8, 4, 9, 10, 2] Tuple after conversion: ([6], [8], [4], [9], [10], [2])
Time complexity: O(n), where n is the length of the input list.
Auxiliary space: O(n), to store the output list.
Method #6: Using list() + tuple() + generator expression
The original list is: [6, 8, 4, 9, 10, 2] Tuple after conversion: ([6], [8], [4], [9], [10], [2])
Time complexity: O(n), where n is the length of the input list, because it involves iterating through the list once.
Auxiliary space: O(n).