
In this problem, you are given four integers: zero, one, low, and high. The problem revolves around constructing binary strings that start from an empty string. At each construction step, you can choose to:
zero times to the current string.one times to the string.These operations can be executed any number of times sequentially in any order. A string is classified as good if its total length lies between the range defined by low and high (inclusive).
Your goal is to compute the total number of distinct good strings that can be created using the above rules. Due to potentially large outcomes, the final result should be presented modulo 10^9 + 7.
Input:
Output:
Explanation:
Input:
Output:
Explanation:
1 <= low <= high <= 1051 <= zero, one <= lowTo tackle the problem effectively, let's dissect how strings are constructed and determine their uniqueness based on the provided examples:
Input Parameters:
low = 3, high = 3zero = 1, one = 1Output:
8Steps and Strategy:
For this input scenario, all possible binary strings of length 3 ("000" to "111") meet the conditions for being good strings because the conditions allow adding either one '0' or one '1' to the string repeatedly.
The strategy involves generating combinations of the characters '0' and '1', adhering strictly to the limits of low and high while respecting the specific repetition allowed for '0' and '1' (which is 1 in both cases here). This makes it straightforward since every possible combination is valid.
Input Parameters:
low = 2, high = 3zero = 1, one = 2Output:
5Steps and Strategy:
The focus here shifts to variations between lengths of 2 and 3:
This example illustrates that not every binary permutation is valid, but rather those that respect the number of repetitions detailed by zero and one parameters.
In a generalized approach:
low to high string lengths.Through these steps, the problem translates into recursive combinations and modulate counting in adherence to the problem's strict rules.
The provided Java code defines a class Solution with methods to count ways to build "good" strings given certain constraints on the number of zeros and ones that can be used. The main functionality is split between two methods.
countSequences(int length, int zeros, int ones): This method calculates the number of valid sequences of a given length using a recursive approach with memoization. It checks if the provided memoization array already contains the solution for a given length to avoid redundant calculations. The recursion considers strings formed by subtracting the number of ones and zeros from the current length and sums these recursive calls, considering them modulo 1_000_000_007 to handle large numbers.
findNumberOfGoodStrings(int minLen, int maxLen, int zeros, int ones): This method initializes the memoization array and iterates through all lengths from minLen to maxLen. For each length, it adds up the count of valid sequences obtained from countSequences, again taking results modulo 1_000_000_007. The sum of all these counts for each length provides the total number of good strings within the specified range.
The solution utilizes dynamic programming to efficiently compute the number of sequences for different lengths by storing intermediate results and avoiding repetitive calculations. Each call to countSequences ensures results are modulo 1_000_000_007, a common approach in problems dealing with large numbers to prevent overflow and maintain performance. The memoization helps in significantly reducing the time complexity that would otherwise result from the naive recursive solution.
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