Problem solution · Python

Ways to Make a Fair Array

Ways to Make a Fair Array: a Python solution using direct simulation. Learn the idea, check the complexity, and read the full code, with credit to Kamyu LeetCode Solutions.

Technique
Direct simulation
Source
Kamyu LeetCode Solutions
Length
18 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Direct simulation

For Ways to Make a Fair Array, the implementation follows the problem’s operations directly while maintaining only the state needed for the next decision.

  1. Translate each rule into one explicit state update.
  2. Maintain the invariant after every processed item.
  3. Return the accumulated state once all relevant input has been handled.

Code notes

  • 18 lines of Python from the credited upstream file ways-to-make-a-fair-array.py.
  • The implementation visibly relies on sequence storage.
  • No explicit loop blocks detected.

Complexity

Count the number and nesting of passes over the input, then include the maintained containers in the memory estimate.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from Kamyu LeetCode Solutions by kamyu104 and is used under the MIT licence.

Full codeWays to Make a Fair Array · PythonPython
Use this to learn the idea, then write your own version.
# Time:  O(n)# Space: O(1) class Solution(object):    def waysToMakeFair(self, nums):        """        :type nums: List[int]        :rtype: int        """        prefix = [0]*2        suffix = [sum(nums[i] for i in xrange(k, len(nums), 2)) for k in xrange(2)]        result = 0        for i, num in enumerate(nums):            suffix[i%2] -= num            result += int(prefix[0]+suffix[1] == prefix[1]+suffix[0])            prefix[i%2] += num        return result 

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