NOT so hard || Easy to understand || Beginner friendly code || Python 3
Intuition\n\nThe goal is to ensure that we can form all integers from 1 to n using a given array of positive integers (nums). If certain numbers are missing in 
# Intuition\n\nThe goal is to ensure that we can form all integers from 1 to n using a given array of positive integers (nums). If certain numbers are missing in the array to form the desired range, we need to determine the minimum number of additional integers (patches) required. The key insight here is that to cover the smallest missing number (miss), we can either use an existing number from nums if it is within the range, or we need to add miss itself to the array to extend the range of numbers we can form.\n\n# Approach\n\n1. **Initialization:** Start with miss equal to 1, which represents the smallest number we currently cannot form. Initialize added equal to 0 to keep track of the number of patches added. Use index equal to 0 to iterate through nums.\n\n2. **Iteration:** Continue the process until miss exceeds n:\n\n* If the current number in nums (pointed by index) is less than or equal to miss, it means we can use this number to extend our range. Add this number to miss and move to the next number by incrementing index.\n\n* If the current number in nums is greater than miss or if we have used all numbers in nums, we need to add miss itself to the array. This effectively doubles the range of numbers we can form. Increment added to reflect this patch.\n\n3. **Termination:** The loop terminates once miss exceeds n, meaning we can form all numbers from 1 to n. Return the value of added as the result.\n\n# Code\n```\nclass Solution:\n    def minPatches(self, nums: List[int], n: int) -> int:\n        miss, added, index = 1, 0, 0\n        while miss <= n:\n            if index < len(nums) and nums[index] <= miss:\n                miss += nums[index]\n                index += 1\n            else:\n                miss += miss\n                added += 1\n        return added\n\n```
['Array', 'Greedy', 'Python3']