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I knew the sum of a consecutive sequence has a closed form but blanked on how to turn that into a clean enumeration.
Model the sum of a consecutive integer array as m*(2k + m - 1)/2 = s, then derive constraints on k and m to reduce the problem to counting valid divisors or factor pairs. Iterate over possible m values up to O(sqrt(s)) and check if the corresponding k is a positive integer, ensuring each k is counted only once.
Pro tip: Emphasize that the problem reduces to counting the number of odd divisors of s, but be prepared to explain the derivation and handle edge cases like s=1 or s=0. This shows you can optimize beyond the straightforward O(sqrt(s)) approach.
Clarify that the array is [k, k+1, ..., k+m-1] with k >= 1, m >= 1, and sum s. Write the sum formula: s = m*(2k + m - 1)/2.
Rearrange to 2s = m*(2k + m - 1). Since 2k + m - 1 = 2s/m, we need m to divide 2s, and k = (2s/m - m + 1)/2 must be a positive integer. This implies m and 2s/m have opposite parity? Actually, 2k + m - 1 is an integer, so m must divide 2s, and the parity condition ensures k is integer.
Iterate m from 1 to floor(sqrt(2s)) (or up to s) and for each divisor m of 2s, compute k. Alternatively, note that the number of valid k equals the number of odd divisors of s, and compute that in O(sqrt(s)) time.
Show that every valid array corresponds to a unique m and k satisfying the conditions, and that the algorithm counts exactly those. Use the bijection between valid k and odd divisors of s.
Time complexity O(sqrt(s)) for divisor enumeration, space O(1). Discuss edge cases: s=1 (only k=1), s=2 (only k=2), and ensure no double counting.
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