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Return Length of Arguments Passed

#495 Most AskedEasy

Return Length of Arguments Passed #495 Most Asked

Easy

Bloomberg LP

9 views

Topics:

Arrays

Write a function argumentsLength that returns the count of arguments passed to it.

Example 1:

Input: args = [5]
Output: 1
Explanation:
argumentsLength(5); // 1

One value was passed to the function so it should return 1.

Example 2:

Input: args = [{}, null, "3"]
Output: 3
Explanation: 
argumentsLength({}, null, "3"); // 3

Three values were passed to the function so it should return 3.

Constraints:

args is a valid JSON array
0 <= args.length <= 100

Try coding it in LeetCode

Return Length of Arguments Passed

#495 Most AskedEasy

Return Length of Arguments Passed #495 Most Asked

Easy

Bloomberg LP

9 views

Topics:

Arrays

Write a function argumentsLength that returns the count of arguments passed to it.

Example 1:

Input: args = [5]
Output: 1
Explanation:
argumentsLength(5); // 1

One value was passed to the function so it should return 1.

Example 2:

Input: args = [{}, null, "3"]
Output: 3
Explanation: 
argumentsLength({}, null, "3"); // 3

Three values were passed to the function so it should return 3.

Constraints:

args is a valid JSON array
0 <= args.length <= 100

Try coding it in LeetCode

Solution

Clarifying Questions

When you get asked this question in a real-life environment, it will often be ambiguous (especially at FAANG). Make sure to ask these questions in that case:

What data types can the arguments be? Can they be any JavaScript type, including objects, arrays, null, or undefined?
Is there a maximum number of arguments I should expect?
Should I throw an error or return a specific value if the input is invalid, such as if no arguments are passed?
Does the count include potentially undefined or null arguments passed in the function call?
Should I consider arguments passed via rest parameters as individual arguments, or as a single array argument?

Brute Force Solution

Approach

To find the number of things passed in, the brute force method is very simple. We'll just count them one by one, without using any clever tricks or shortcuts. It's like physically counting a group of objects.

Here's how the algorithm would work step-by-step:

Start with a counter set to zero.
For each thing that was passed in, increase the counter by one.
Once you've gone through everything that was passed in, the counter will show you the total number of things.
That final count is the answer you're looking for.

Code Implementation

def return_length_of_arguments(*arguments):
    argument_counter = 0

    # We iterate through each argument passed to the function
    for argument in arguments:

        # For each argument, we increment the counter
        argument_counter += 1

    # After the loop, the counter holds the total number of arguments.
    return argument_counter

Big(O) Analysis

Time Complexity

O(n) – The algorithm iterates through each of the n arguments passed to the function exactly once to increment a counter. Each increment operation takes constant time, O(1). Therefore, the overall time complexity is proportional to the number of arguments, n, resulting in a time complexity of O(n).

Space Complexity

O(1) – The provided algorithm uses a counter initialized to zero. This single counter represents the only extra memory used by the algorithm. Regardless of the number of arguments (N) passed in, only one counter variable is needed. Therefore, the space complexity is constant, or O(1).

Optimal Solution

Approach

The key to this problem is recognizing that you don't need to actually see or store the arguments themselves. You only need to know *how many* arguments are given to the program. The best way to solve this is to ask the system to simply tell us this number.

Here's how the algorithm would work step-by-step:

Ask the program how many arguments it received.
Return that number as the answer.

Code Implementation

def argument_length_counter(*arguments):
    # Determine the number of arguments
    number_of_arguments = len(arguments)

    # Returning the length of the arguments
    return number_of_arguments

Big(O) Analysis

Time Complexity

O(1) – The described solution involves directly asking the system for the number of arguments. This operation is a constant-time lookup, regardless of the actual number of arguments passed. The number of arguments does not influence the time it takes to retrieve that number. Therefore, the time complexity is O(1).

Space Complexity

O(1) – The problem only requires retrieving the number of arguments passed to the program. No additional data structures are created to store or process the arguments themselves. Therefore, the space used is constant and independent of the number of arguments N. The memory footprint remains the same regardless of the input size, resulting in a space complexity of O(1).

Edge Cases

Case	How to Handle
No arguments passed	Return 0 as there are no arguments to consider.
Null or undefined argument passed	Treat null or undefined as a single argument and increment the count.
Very large number of arguments passed (potential stack overflow)	Use an iterative approach rather than recursion to handle a large number of arguments and avoid stack overflow issues.
Arguments include different data types (e.g., numbers, strings, objects)	The length calculation is independent of the data type of each argument so the result should always represent the correct number of arguments passed.
Arguments include functions	Functions are treated as a single argument and length will correctly represent that.
Arguments include symbols	Symbols are counted as standard arguments.
Arguments are complex objects with circular references	Object content is irrelevant to determining the count of arguments passed.
Arguments are modified during the call (e.g., passed by reference)	The arguments passed are counted before modification and thus the result should still reflect the initial count.

No arguments passed

How to Handle:

Return 0 as there are no arguments to consider.

Null or undefined argument passed

How to Handle:

Treat null or undefined as a single argument and increment the count.

Very large number of arguments passed (potential stack overflow)

How to Handle:

Use an iterative approach rather than recursion to handle a large number of arguments and avoid stack overflow issues.

Arguments include different data types (e.g., numbers, strings, objects)

How to Handle:

The length calculation is independent of the data type of each argument so the result should always represent the correct number of arguments passed.

Arguments include functions

How to Handle:

Functions are treated as a single argument and length will correctly represent that.

Arguments include symbols

How to Handle:

Symbols are counted as standard arguments.

Arguments are complex objects with circular references

How to Handle:

Object content is irrelevant to determining the count of arguments passed.

Arguments are modified during the call (e.g., passed by reference)

How to Handle:

The arguments passed are counted before modification and thus the result should still reflect the initial count.

Solution

Clarifying Questions

When you get asked this question in a real-life environment, it will often be ambiguous (especially at FAANG). Make sure to ask these questions in that case:

What data types can the arguments be? Can they be any JavaScript type, including objects, arrays, null, or undefined?
Is there a maximum number of arguments I should expect?
Should I throw an error or return a specific value if the input is invalid, such as if no arguments are passed?
Does the count include potentially undefined or null arguments passed in the function call?
Should I consider arguments passed via rest parameters as individual arguments, or as a single array argument?

Brute Force Solution

Approach

Here's how the algorithm would work step-by-step:

Start with a counter set to zero.
For each thing that was passed in, increase the counter by one.
Once you've gone through everything that was passed in, the counter will show you the total number of things.
That final count is the answer you're looking for.

Code Implementation

def return_length_of_arguments(*arguments):
    argument_counter = 0

    # We iterate through each argument passed to the function
    for argument in arguments:

        # For each argument, we increment the counter
        argument_counter += 1

    # After the loop, the counter holds the total number of arguments.
    return argument_counter

Big(O) Analysis

Time Complexity

Space Complexity

Optimal Solution

Approach

Here's how the algorithm would work step-by-step:

Ask the program how many arguments it received.
Return that number as the answer.

Code Implementation

def argument_length_counter(*arguments):
    # Determine the number of arguments
    number_of_arguments = len(arguments)

    # Returning the length of the arguments
    return number_of_arguments

Big(O) Analysis

Time Complexity

Space Complexity

Edge Cases

Case	How to Handle
No arguments passed	Return 0 as there are no arguments to consider.
Null or undefined argument passed	Treat null or undefined as a single argument and increment the count.
Very large number of arguments passed (potential stack overflow)	Use an iterative approach rather than recursion to handle a large number of arguments and avoid stack overflow issues.
Arguments include different data types (e.g., numbers, strings, objects)	The length calculation is independent of the data type of each argument so the result should always represent the correct number of arguments passed.
Arguments include functions	Functions are treated as a single argument and length will correctly represent that.
Arguments include symbols	Symbols are counted as standard arguments.
Arguments are complex objects with circular references	Object content is irrelevant to determining the count of arguments passed.
Arguments are modified during the call (e.g., passed by reference)	The arguments passed are counted before modification and thus the result should still reflect the initial count.

No arguments passed

How to Handle:

Return 0 as there are no arguments to consider.

Null or undefined argument passed

How to Handle:

Treat null or undefined as a single argument and increment the count.

Very large number of arguments passed (potential stack overflow)

How to Handle:

Use an iterative approach rather than recursion to handle a large number of arguments and avoid stack overflow issues.

Arguments include different data types (e.g., numbers, strings, objects)

How to Handle:

The length calculation is independent of the data type of each argument so the result should always represent the correct number of arguments passed.

Arguments include functions

How to Handle:

Functions are treated as a single argument and length will correctly represent that.

Arguments include symbols

How to Handle:

Symbols are counted as standard arguments.

Arguments are complex objects with circular references

How to Handle:

Object content is irrelevant to determining the count of arguments passed.

Arguments are modified during the call (e.g., passed by reference)

How to Handle:

The arguments passed are counted before modification and thus the result should still reflect the initial count.

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