2620. Counter - Detailed Explanation
Problem Statement
Description:
Implement a function called counter
that returns another function (a “counter function”). Each time the returned function is called, it should return an integer that increments by one, starting from 1.
How It Works:
- The first call returns 1.
- The second call returns 2.
- The third call returns 3, and so on.
The key idea is that the returned function must remember the count between calls. This is typically achieved using a closure (or a similar mechanism in languages that do not support closures directly).
Constraints:
- The counter starts at 1.
- The solution should use the idea of closure or an equivalent method to maintain state between calls.
- The function returned by
counter
should have O(1) time per call.
Example 1:
const counter1 = counter(); console.log(counter1()); // Output: 1 console.log(counter1()); // Output: 2 console.log(counter1()); // Output: 3
Example 2:
const counter2 = counter(); console.log(counter2()); // Output: 1 console.log(counter2()); // Output: 2
Note: Each counter instance maintains its own state.
Hints
- Hint 1: Think about how to use a closure to capture a variable that tracks the current count. In languages like JavaScript and Python, you can define an inner function that accesses a variable defined in an outer function.
- Hint 2: Make sure the counter variable is not re-initialized on every call of the inner function. It must persist between calls.
- Hint 3: In Python, remember to use the
nonlocal
keyword when modifying a variable defined in an outer (but non-global) scope.
Approaches
Closure-Based Approach (Optimal)
Idea:
Define a function counter
that initializes a counter variable (starting at 0) and returns an inner function. This inner function increments the counter variable and returns its value each time it is called.
Steps:
- In the outer function
counter
, initialize a variable (e.g.,count
) to 0. - Define an inner function (e.g.,
increment
) that:- Increments the
count
variable. - Returns the updated value.
- Increments the
- Return the inner function from
counter
. The inner function “remembers” the variablecount
between calls.
Why It Works:
The inner function has access to the count
variable in its lexical scope. Each call to the inner function updates this variable, thus producing the next number in the sequence.
Alternative Variations
-
Using a Class or Object:
Instead of using a closure, you could define a class that encapsulates the count as an instance variable and provides a method (e.g.,next()
) to increment and return the count. This approach is common in languages without first-class function closures (or if object-oriented design is preferred). -
Functional Programming Variations:
Some functional languages may use stateful constructs or monads to achieve a similar effect without mutable state.
Detailed Walkthrough (Closure-Based Approach)
Let’s walk through the closure approach using a Python-like pseudocode:
-
Initialization in the Outer Function:
- Define a variable
count
and initialize it to 0.
- Define a variable
-
Define the Inner Function:
- The inner function, say
increment
, uses the variablecount
from the outer scope. - When
increment
is called, it increasescount
by 1 and returns the new value. - In Python, use the
nonlocal
keyword to indicate thatcount
is defined in an outer scope.
- The inner function, say
-
Return the Inner Function:
- The function
counter
returnsincrement
, which retains access to the variablecount
.
- The function
-
Example Execution:
- When you create a counter instance by calling
counter()
, a new copy ofcount
is created. - Calling the returned function repeatedly yields: 1, 2, 3, etc.
- When you create a counter instance by calling
Code Implementation
Python Code
Java Code
Complexity Analysis
-
Time Complexity per Call:
Each call to the returned function (or thenext()
method in Java) performs a constant number of operations (increment and return), so the time complexity is O(1). -
Space Complexity:
The closure or class instance holds a single integer variable. Therefore, the space complexity is O(1).
Additional Sections
Common Mistakes
-
Re-initializing the Counter:
A common mistake is to reinitialize the counter variable on each call rather than maintaining it in a persistent closure or object state. -
Forgetting to Use
nonlocal
(in Python):
Without thenonlocal
keyword, Python will treat the variable as local to the inner function, leading to errors or unexpected behavior. -
Using Global Variables:
Relying on global variables for state can lead to bugs when multiple counter instances are required.
Edge Cases
-
Multiple Instances:
Ensure that each call tocounter()
returns a new independent counter. The state of one counter should not affect another. -
Single Call:
If the returned function is called only once, it should correctly return 1.
Alternative Variations and Related Problems
- Variations:
-
Implement a counter that starts from a specified number.
-
Implement a counter that can also decrement or reset.
-
Create a counter that returns a formatted string along with the count.
-
Related Problems for Further Practice
Conclusion
The Counter problem is an exercise in maintaining state across function calls. The optimal solution leverages closures (or an equivalent object-oriented design) to capture and update a variable between calls. The solution is efficient (O(1) per call) and demonstrates an important concept used widely in many programming languages. The provided Python and Java implementations, along with detailed explanations, should help solidify your understanding of closures and state management in coding interviews.
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