Complete the code to initialize the slow pointer for the two-pointer technique.
def remove_duplicates(nums): if not nums: return 0 slow = [1] for fast in range(1, len(nums)): if nums[fast] != nums[slow]: slow += 1 nums[slow] = nums[fast] return slow + 1
The slow pointer starts at index 0 to track the position of the last unique element.
Complete the code to check if the current fast pointer element is different from the slow pointer element.
def remove_duplicates(nums): if not nums: return 0 slow = 0 for fast in range(1, len(nums)): if nums[fast] [1] nums[slow]: slow += 1 nums[slow] = nums[fast] return slow + 1
We want to move the slow pointer only when we find a new unique element, so we check if nums[fast] is not equal to nums[slow].
Fix the error in the code to correctly update the slow pointer and assign the new unique element.
def remove_duplicates(nums): if not nums: return 0 slow = 0 for fast in range(1, len(nums)): if nums[fast] != nums[slow]: [1] # increment slow pointer nums[slow] = nums[fast] return slow + 1
The slow pointer should be incremented by 1 to move to the next position for the unique element.
Fill both blanks to complete the function that returns the length of the array after removing duplicates.
def remove_duplicates(nums): if not nums: return 0 slow = 0 for fast in range(1, len(nums)): if nums[fast] != nums[slow]: slow [1] 1 nums[slow] = nums[fast] return slow [2] 1
We increment slow by 1 using '+=' and return slow + 1 because the length is index + 1.
Fill all three blanks to create a dictionary comprehension that maps each unique number to its index after removing duplicates.
def map_unique_indices(nums): length = remove_duplicates(nums) return { [1]: [2] for [3] in range(length) }
We map each unique number nums[i] to its index i, iterating i in range(length).