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Python Logic to Find All Unique Pairs in an Array

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 Here's the Python logic for finding all unique pairs in an array that sum up to a target value. Python Unique Pair Problem Write a Python function that finds all unique pairs in an array whose sum equals a target value. Avoid duplicates in the result. For example: Input: arr = [2, 4, 3, 5, 7, 8, 9] , target = 9 Output: [(2, 7), (4, 5)] Hints Use a set for tracking seen numbers. Check for complements efficiently. Example def find_unique_pairs(arr, target):     """     Finds all unique pairs in the array that sum up to the target value.     Parameters:     arr (list): The input array of integers.     target (int): The target sum value.     Returns:     list: A list of unique pairs that sum to the target value.     """     seen = set()     pairs = set()     for num in arr:         complement = target - num         if complement in seen:...
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Python Set comprehension - How to Use it Read now

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In python, Set does not allow duplicates, and  you can't modify an existing set with a comprehension. But using the Set comprehension you can create a new Set.


set comprehension


Set Comprehension 


In addition, the comprehension must result in a valid set.  Likewise Dictionary, a set does not allow entries of the same value.


If you try to add values to the set that are already there, it will replace the old one with the new one.

Explained syntax

Set comprehensions using the {} syntax only exist in Python 3. Before that, you'll have to use the set() function to create and work with sets. You might guess, therefore, that one of the best uses of a set is to eliminate duplicates.

In fact, this is one of the most basic forms of set comprehension. Given a list, we can duplicate it as a list with a simple list comprehension like this:

Details of logic

if we change the list comprehension to a set comprehension, we get the same result, but as a set. That means without duplicates.

list_copy = [x for x in original_list]
 

Sample Set comprehension

my_list_with_dupes = [1,2,1,2,3,4,1,2,3,4,5,6,7,1,2,3] 
my_set_without_dupes = {x for x in my_list_with_dupes} 
print(my_set_without_dupes) 

{1, 2, 3, 4, 5, 6, 7}


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