Leetcode 1567. Maximum Length of Subarray With Positive Product  Summary and Q&A
TL;DR
The task is to find the maximum length of a subarray that has a positive product.
Key Insights
 #️⃣ To achieve a positive product, ensure either all numbers are positive or that the number of negative integers is even.
 🧑🏭 Zeroes act as delimiters which segment the original array into smaller independent arrays that need separate assessments.
 🤮 The solution requires careful tracking of negative integers' positions to decide which one to omit when the count of them is odd, maximizing the subarray length.
 👾 A linear time complexity solution is achievable due to the singlepass technique, with no extra space usage beyond counters and indices.
 👻 The initial product calculation allows for early determination of subarray limits, streamlining checks for valid positive products.
 🥺 Elimination of unnecessary checks or iterations by incrementing the index appropriately after processing segments leads to efficiency.
 🥳 The method ensures all parts of the array are evaluated, including segments separated by zeros, resulting in a comprehensive maximum length outcome.
Transcript
hey there welcome back to lead coding on this channel we discuss problems which are frequently asked in programming interviews today we are here with a problem called maximum length of subarray with positive product in this question we are given an array of integers we have to find the length of the sub array where the product of all its element is... Read More
Questions & Answers
Q: What is the main objective of the problem discussed?
The primary objective is to find the length of the longest contiguous subarray in an array of integers such that the product of all elements in the subarray is positive. To achieve this, specific conditions regarding positive and negative integers, as well as zeroes, must be assessed.
Q: How do negative numbers affect the product of a subarray?
Negative numbers can impact the product's positivity significantly. If the count of negative numbers in a subarray is even, the product remains positive. However, if the count is odd, the product turns negative unless we exclude one of the negative numbers from the product consideration.
Q: How should zeros in the array be treated?
Zeros effectively split the array into separate subarrays since any product involving zero is neither positive nor negative. Consequently, each segment of the original array that's free from zeros should be analyzed independently to find the maximum length of a subarray with a positive product.
Q: What is the approach taken to optimize the solution for time complexity?
The solution optimizes time complexity by employing a singlepass algorithm, tracking the positions of negative values and counting them without nested loops. This ensures that, on average, each element is traversed only once, leading to a time complexity of O(n).
Summary & Key Takeaways

The problem focuses on finding the maximum length of a subarray where the product of its elements is positive, with specific cases for handling negative and zero values.

Conditions for maintaining a positive product include having all positive numbers or an even count of negative numbers, while zeros in the array split it into separate subarrays.

The solution involves iterating through the array while calculating the lengths of potential subarrays, adjusting based on the positioning of negative numbers, and ensuring maximum length is tracked.