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Count and Say
Problem Statement
The count-and-say sequence is a sequence of digit strings defined by the recursive formula:
countAndSay(1) = "1"countAndSay(n)is the way you would “say” the digit string fromcountAndSay(n-1), which is then converted into a different digit string.
To determine how you “say” a digit string, split it into the minimal number of substrings such that each substring contains exactly one unique digit. Then for each substring, say the number of digits, then say the digit. Finally, concatenate every said digit.
Examples
Example 1:
Input: n = 1
Output: "1"
Explanation: This is the base case.
Example 2:
Input: n = 4
Output: "1211"
Explanation:
countAndSay(1) = "1"
countAndSay(2) = say "1" = one 1 = "11"
countAndSay(3) = say "11" = two 1s = "21"
countAndSay(4) = say "21" = one 2 + one 1 = "12" + "11" = "1211"
Example 3:
Input: n = 5
Output: "111221"
Explanation:
countAndSay(5) = say "1211" = one 1 + one 2 + two 1s = "11" + "12" + "21" = "111221"
Constraints
1 <= n <= 30
Approach 1: Recursive with String Building (Optimal)
Algorithm
Use recursion to build the sequence step by step. For each step, count consecutive identical digits and build the next string.
Steps:
- Base case: n = 1 returns “1”
- Recursively get the previous string
- Count consecutive identical digits
- Build the next string by appending count + digit
Implementation
Python:
def countAndSay(n):
"""
Generate the nth term of count-and-say sequence
Time: O(4^n/3) - exponential growth
Space: O(4^n/3) - recursion stack and string storage
"""
if n == 1:
return "1"
# Get previous string recursively
prev = countAndSay(n - 1)
# Build current string
result = ""
i = 0
while i < len(prev):
# Count consecutive identical digits
count = 1
while i + count < len(prev) and prev[i] == prev[i + count]:
count += 1
# Append count and digit
result += str(count) + prev[i]
i += count
return result
Java:
class Solution {
public String countAndSay(int n) {
if (n == 1) {
return "1";
}
// Get previous string recursively
String prev = countAndSay(n - 1);
// Build current string
StringBuilder result = new StringBuilder();
int i = 0;
while (i < prev.length()) {
// Count consecutive identical digits
int count = 1;
while (i + count < prev.length() && prev.charAt(i) == prev.charAt(i + count)) {
count++;
}
// Append count and digit
result.append(count).append(prev.charAt(i));
i += count;
}
return result.toString();
}
}
Go:
func countAndSay(n int) string {
if n == 1 {
return "1"
}
// Get previous string recursively
prev := countAndSay(n - 1)
// Build current string
var result strings.Builder
i := 0
for i < len(prev) {
// Count consecutive identical digits
count := 1
for i+count < len(prev) && prev[i] == prev[i+count] {
count++
}
// Append count and digit
result.WriteString(strconv.Itoa(count))
result.WriteByte(prev[i])
i += count
}
return result.String()
}
JavaScript:
function countAndSay(n) {
if (n === 1) {
return "1";
}
// Get previous string recursively
const prev = countAndSay(n - 1);
// Build current string
let result = "";
let i = 0;
while (i < prev.length) {
// Count consecutive identical digits
let count = 1;
while (i + count < prev.length && prev[i] === prev[i + count]) {
count++;
}
// Append count and digit
result += count + prev[i];
i += count;
}
return result;
}
C#:
public class Solution {
public string CountAndSay(int n) {
if (n == 1) {
return "1";
}
// Get previous string recursively
string prev = CountAndSay(n - 1);
// Build current string
StringBuilder result = new StringBuilder();
int i = 0;
while (i < prev.Length) {
// Count consecutive identical digits
int count = 1;
while (i + count < prev.Length && prev[i] == prev[i + count]) {
count++;
}
// Append count and digit
result.Append(count).Append(prev[i]);
i += count;
}
return result.ToString();
}
}
Complexity Analysis
- Time Complexity: O(4^n/3) - The sequence grows exponentially
- Space Complexity: O(4^n/3) - Recursion stack and string storage
Approach 2: Iterative Approach
Algorithm
Build the sequence iteratively without recursion to avoid stack overflow issues.
Steps:
- Start with “1” as the base case
- For each step from 2 to n, build the next string
- Count consecutive identical digits and append count + digit
Implementation
Python:
def countAndSayIterative(n):
"""
Iterative approach to generate count-and-say sequence
Time: O(4^n/3)
Space: O(4^n/3)
"""
if n == 1:
return "1"
current = "1"
for _ in range(2, n + 1):
next_str = ""
i = 0
while i < len(current):
# Count consecutive identical digits
count = 1
while i + count < len(current) and current[i] == current[i + count]:
count += 1
# Append count and digit
next_str += str(count) + current[i]
i += count
current = next_str
return current
Java:
public String countAndSayIterative(int n) {
if (n == 1) {
return "1";
}
String current = "1";
for (int step = 2; step <= n; step++) {
StringBuilder nextStr = new StringBuilder();
int i = 0;
while (i < current.length()) {
// Count consecutive identical digits
int count = 1;
while (i + count < current.length() && current.charAt(i) == current.charAt(i + count)) {
count++;
}
// Append count and digit
nextStr.append(count).append(current.charAt(i));
i += count;
}
current = nextStr.toString();
}
return current;
}
Go:
func countAndSayIterative(n int) string {
if n == 1 {
return "1"
}
current := "1"
for step := 2; step <= n; step++ {
var nextStr strings.Builder
i := 0
for i < len(current) {
// Count consecutive identical digits
count := 1
for i+count < len(current) && current[i] == current[i+count] {
count++
}
// Append count and digit
nextStr.WriteString(strconv.Itoa(count))
nextStr.WriteByte(current[i])
i += count
}
current = nextStr.String()
}
return current
}
JavaScript:
function countAndSayIterative(n) {
if (n === 1) {
return "1";
}
let current = "1";
for (let step = 2; step <= n; step++) {
let nextStr = "";
let i = 0;
while (i < current.length) {
// Count consecutive identical digits
let count = 1;
while (i + count < current.length && current[i] === current[i + count]) {
count++;
}
// Append count and digit
nextStr += count + current[i];
i += count;
}
current = nextStr;
}
return current;
}
C#:
public string CountAndSayIterative(int n) {
if (n == 1) {
return "1";
}
string current = "1";
for (int step = 2; step <= n; step++) {
StringBuilder nextStr = new StringBuilder();
int i = 0;
while (i < current.Length) {
// Count consecutive identical digits
int count = 1;
while (i + count < current.Length && current[i] == current[i + count]) {
count++;
}
// Append count and digit
nextStr.Append(count).Append(current[i]);
i += count;
}
current = nextStr.ToString();
}
return current;
}
Complexity Analysis
- Time Complexity: O(4^n/3) - Still exponential growth
- Space Complexity: O(4^n/3) - String storage
Key Insights
- Sequence Growth: The sequence grows exponentially (approximately 4^n/3)
- Recursive Nature: Each term depends on the previous term
- String Building: Efficient string concatenation is crucial
- Pattern Recognition: Understanding the count-and-say pattern
- Base Case: n = 1 is always “1”
Edge Cases
- n = 1: Returns “1” (base case)
- n = 2: Returns “11” (one 1)
- n = 3: Returns “21” (two 1s)
- Large n: Exponential growth makes large n impractical
- String Length: Strings become very long for large n
Test Cases
def test_countAndSay():
# Basic cases
assert countAndSay(1) == "1"
assert countAndSay(2) == "11"
assert countAndSay(3) == "21"
assert countAndSay(4) == "1211"
assert countAndSay(5) == "111221"
# Additional cases
assert countAndSay(6) == "312211"
assert countAndSay(7) == "13112221"
assert countAndSay(8) == "1113213211"
print("All tests passed!")
test_countAndSay()
Follow-up Questions
- Reverse Count and Say: Given a string, find which n it corresponds to?
- Count and Say with Different Base: What if we start with a different base string?
- Count and Say with Different Rules: What if we change the counting rules?
- Performance Optimization: How can we optimize for very large n?
- Pattern Analysis: What patterns exist in the sequence?
Common Mistakes
- Base Case Handling: Not properly handling n = 1
- String Concatenation: Inefficient string building
- Index Bounds: Not checking array bounds when counting
- Recursion Depth: Not considering stack overflow for large n
- Pattern Understanding: Misunderstanding the count-and-say pattern
Interview Tips
- Explain the Pattern: Walk through the sequence step by step
- Discuss Complexity: Mention exponential growth
- Handle Edge Cases: Always check n = 1
- Optimize String Building: Use StringBuilder for efficiency
- Consider Alternatives: Discuss iterative vs recursive approaches