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Analyze Time and Space Complexity
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Analyze Time and Space Complexity

MediumPython

Problem

Explain the time and space complexity of your solution.

Analyze the provided duplicate-detection solution and justify both complexities in terms of the input length. State any assumptions about dictionary operations.

Function: has_duplicate(nums) accepts a list of integers and returns True if any value appears more than once, otherwise False.

Examples: has_duplicate([4, 1, 4]) returns True; has_duplicate([1, 2, 3]) returns False.

Constraints

  • 0 <= nums.length <= 5,000
  • -10^9 <= nums[i] <= 10^9
  • Return a boolean result
  • Assume average-case O(1) set membership and insertion

Function Signature

def has_duplicate(nums):
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