Strobogrammatic Number III

To find the number of strobogrammatic numbers in the range [low, high], you can extend the previous approach by generating strobogrammatic numbers of lengths ranging from the length of low to the length of high. Then, you can count the numbers that fall within the range.

Here’s the code:

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class Solution:
    def strobogrammaticInRange(self, low: str, high: str) -> int:
        count = 0
        for length in range(len(low), len(high) + 1):
            strobogrammatic_numbers = self.findStrobogrammatic(length)
            for number in strobogrammatic_numbers:
                if (len(number) == len(low) and number < low) or \
                   (len(number) == len(high) and number > high):
                    continue
                count += 1
        return count

    def findStrobogrammatic(self, n: int) -> List[str]:
        return self.helper(n, n)

    def helper(self, n: int, m: int) -> List[str]:
        if n == 0:
            return [""]
        if n == 1:
            return ["0", "1", "8"]

        previous_numbers = self.helper(n - 2, m)
        result = []

        for number in previous_numbers:
            if n != m:
                result.append("0" + number + "0")
            result.append("1" + number + "1")
            result.append("6" + number + "9")
            result.append("8" + number + "8")
            result.append("9" + number + "6")

        return result

The function strobogrammaticInRange iterates over all possible lengths from the length of low to the length of high, and then it finds all the strobogrammatic numbers of that length using the findStrobogrammatic function. It checks if the number is within the range [low, high], and increments the count if it is.

Since the numbers are strings, they can be compared lexicographically using the standard comparison operators like < and >.

The time complexity of this code is O(5^(n/2) * n) for each length, where n is the length of the numbers, and the space complexity is O(n).

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class Solution:
    def strobogrammaticInRange(self, low: str, high: str) -> int:
        pairs = [('0', '0'), ('1', '1'), ('6', '9'), ('8', '8'), ('9', '6')]

        def dfs(low, high, c, left, right, count):
            if left > right:
                s = "".join(c)
                if (len(s) == len(low) and s < low) or (len(s) == len(high) and s > high):
                    return
                count[0] += 1
                return
            for p in pairs:
                c[left] = p[0]
                c[right] = p[1]
                if len(c) != 1 and c[0] == '0':
                    continue
                if left == right and p[0] != p[1]:
                    continue
                dfs(low, high, c, left + 1, right - 1, count)

        count = [0]
        for len_c in range(len(low), len(high) + 1):
            c = [None] * len_c
            dfs(low, high, c, 0, len_c - 1, count)

        return count[0]

10 Prerequisite LeetCode Problems

“Strobogrammatic Number III” involves understanding of number theory, strings, and recursion. Here are 10 problems to prepare:

“Palindrome Number” (LeetCode Problem #9): A simpler problem that requires identifying palindromic numbers. The strobogrammatic numbers are a kind of palindromic numbers with additional constraints.
“Reverse Integer” (LeetCode Problem #7): Reversing an integer is a basic step in determining if a number is strobogrammatic.
“Strobogrammatic Number” (LeetCode Problem #246): This is a precursor problem where you have to identify if a single number is strobogrammatic. It helps set the stage for the more complex problem.
“Add Strings” (LeetCode Problem #415): This problem will help you understand string manipulation in a number-centric context.
“Count and Say” (LeetCode Problem #38): This problem helps in understanding string manipulation which is a crucial part of this problem.
“Recursive Digit Sum” (LeetCode Problem #129): This problem helps with understanding recursion in a number-centric problem.
“Generate Parentheses” (LeetCode Problem #22): Though not directly related, this problem will help you to understand the concept of recursion better.
“String to Integer (atoi)” (LeetCode Problem #8): Understanding this will help you to deal with conversion of string to number and vice versa.
“Subsets” (LeetCode Problem #78): Helps in understanding the recursion and the concept of generating all possible subsets which can be applied to generate all possible strobogrammatic numbers.
“Permutations” (LeetCode Problem #46): This will help you understand the process of generating permutations, a related concept to generating strobogrammatic numbers.

Problem Classification

Problem Statement: Given two strings low and high that represent two integers low and high where low <= high, return the number of strobogrammatic numbers in the range [low, high].

A strobogrammatic number is a number that looks the same when rotated 180 degrees (looked at upside down).

Example 1:

Input: low = “50”, high = “100” Output: 3 Example 2:

Input: low = “0”, high = “0” Output: 1

Constraints:

1 <= low.length, high.length <= 15 low and high consist of only digits. low <= high low and high do not contain any leading zeros except for zero itself.

Analyze the provided problem statement. Categorize it based on its domain, ignoring ‘How’ it might be solved. Identify and list out the ‘What’ components. Based on these, further classify the problem. Explain your categorizations.

Visual Model of the Problem

How to visualize the problem statement for this problem?

Problem Restatement

Could you start by paraphrasing the problem statement in your own words? Try to distill the problem into its essential elements and make sure to clarify the requirements and constraints. This exercise should aid in understanding the problem better and aligning our thought process before jumping into solving it.

Abstract Representation of the Problem

Could you help me formulate an abstract representation of this problem?

Alternatively, if you’re working on a specific problem, you might ask something like:

Given this problem, how can we describe it in an abstract way that emphasizes the structure and key elements, without the specific real-world details?

Terminology

Are there any specialized terms, jargon, or technical concepts that are crucial to understanding this problem or solution? Could you define them and explain their role within the context of this problem?

Problem Simplification and Explanation

Could you please break down this problem into simpler terms? What are the key concepts involved and how do they interact? Can you also provide a metaphor or analogy to help me understand the problem better?

Constraints

Given the problem statement and the constraints provided, identify specific characteristics or conditions that can be exploited to our advantage in finding an efficient solution. Look for patterns or specific numerical ranges that could be useful in manipulating or interpreting the data.

What are the key insights from analyzing the constraints?

Case Analysis

Could you please provide additional examples or test cases that cover a wider range of the input space, including edge and boundary conditions? In doing so, could you also analyze each example to highlight different aspects of the problem, key constraints and potential pitfalls, as well as the reasoning behind the expected output for each case? This should help in generating key insights about the problem and ensuring the solution is robust and handles all possible scenarios.

Identification of Applicable Theoretical Concepts

Can you identify any mathematical or algorithmic concepts or properties that can be applied to simplify the problem or make it more manageable? Think about the nature of the operations or manipulations required by the problem statement. Are there existing theories, metrics, or methodologies in mathematics, computer science, or related fields that can be applied to calculate, measure, or perform these operations more effectively or efficiently?

Problem Breakdown and Solution Methodology

Given the problem statement, can you explain in detail how you would approach solving it? Please break down the process into smaller steps, illustrating how each step contributes to the overall solution. If applicable, consider using metaphors, analogies, or visual representations to make your explanation more intuitive. After explaining the process, can you also discuss how specific operations or changes in the problem’s parameters would affect the solution? Lastly, demonstrate the workings of your approach using one or more example cases.

Inference of Problem-Solving Approach from the Problem Statement

How did you infer from the problem statement that this problem can be solved using ?

Could you please provide a stepwise refinement of our approach to solving this problem?
How can we take the high-level solution approach and distill it into more granular, actionable steps?
Could you identify any parts of the problem that can be solved independently?
Are there any repeatable patterns within our solution?

Solution Approach and Analysis

Thought Process

Explain the thought process by thinking step by step to solve this problem from the problem statement and code the final solution. Write code in Python3. What are the cues in the problem statement? What direction does it suggest in the approach to the problem? Generate insights about the problem statement.

From Brute Force to Optimal Solution

Could you please begin by illustrating a brute force solution for this problem? After detailing and discussing the inefficiencies of the brute force approach, could you then guide us through the process of optimizing this solution? Please explain each step towards optimization, discussing the reasoning behind each decision made, and how it improves upon the previous solution. Also, could you show how these optimizations impact the time and space complexity of our solution?

Coding Constructs

Consider the following piece of complex software code.

What are the high-level problem-solving strategies or techniques being used by this code?
If you had to explain the purpose of this code to a non-programmer, what would you say?
Can you identify the logical elements or constructs used in this code, independent of any programming language?
Could you describe the algorithmic approach used by this code in plain English?
What are the key steps or operations this code is performing on the input data, and why?
Can you identify the algorithmic patterns or strategies used by this code, irrespective of the specific programming language syntax?

Language Agnostic Coding Drills

Your mission is to deconstruct this code into the smallest possible learning units, each corresponding to a separate coding concept. Consider these concepts as unique coding drills that can be individually implemented and later assembled into the final solution.

Dissect the code and identify each distinct concept it contains. Remember, this process should be language-agnostic and generally applicable to most modern programming languages.
Once you’ve identified these coding concepts or drills, list them out in order of increasing difficulty. Provide a brief description of each concept and why it is classified at its particular difficulty level.
Next, describe the problem-solving approach that would lead from the problem statement to the final solution. Think about how each of these coding drills contributes to the overall solution. Elucidate the step-by-step process involved in using these drills to solve the problem. Please refrain from writing any actual code; we’re focusing on understanding the process and strategy.

Targeted Drills in Python

Now that you’ve identified and ordered the coding concepts from a complex software code in the previous exercise, let’s focus on creating Python-based coding drills for each of those concepts.

Begin by writing a separate piece of Python code that encapsulates each identified concept. These individual drills should illustrate how to implement each concept in Python. Please ensure that these are suitable even for those with a basic understanding of Python.
In addition to the general concepts, identify and write coding drills for any problem-specific concepts that might be needed to create a solution. Describe why these drills are essential for our problem.
Once all drills have been coded, describe how these pieces can be integrated together in the right order to solve the initial problem. Each drill should contribute to building up to the final solution.

Remember, the goal is to not only to write these drills but also to ensure that they can be cohesively assembled into one comprehensive solution.