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DSA Pythonprogramming~10 mins

Generate All Combinations Sum K in DSA Python - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to start the backtracking with an empty combination.

DSA Python
def combination_sum_k(n, k):
    result = []
    def backtrack(start, path, target):
        if target == 0:
            result.append(path[:])
            return
        for i in range(start, n + 1):
            if i > target:
                break
            path.append(i)
            backtrack(i + 1, path, target - i)
            path.pop()
    backtrack(1, [1], k)
    return result
Drag options to blanks, or click blank then click option'
A[1]
B[k]
C[0]
D[]
Attempts:
3 left
💡 Hint
Common Mistakes
Starting with a non-empty list causes wrong combinations.
Passing None or a number instead of a list causes errors.
2fill in blank
medium

Complete the code to stop exploring when the current number exceeds the remaining target.

DSA Python
def combination_sum_k(n, k):
    result = []
    def backtrack(start, path, target):
        if target == 0:
            result.append(path[:])
            return
        for i in range(start, n + 1):
            if [1]:
                break
            path.append(i)
            backtrack(i + 1, path, target - i)
            path.pop()
    backtrack(1, [], k)
    return result
Drag options to blanks, or click blank then click option'
Ai < target
Btarget < 0
Ci > target
Di == target
Attempts:
3 left
💡 Hint
Common Mistakes
Using i < target causes skipping valid numbers.
Checking target < 0 is unnecessary here.
3fill in blank
hard

Fix the error in the recursive call to correctly reduce the target.

DSA Python
def combination_sum_k(n, k):
    result = []
    def backtrack(start, path, target):
        if target == 0:
            result.append(path[:])
            return
        for i in range(start, n + 1):
            if i > target:
                break
            path.append(i)
            backtrack(i + 1, path, [1])
            path.pop()
    backtrack(1, [], k)
    return result
Drag options to blanks, or click blank then click option'
Atarget + i
Btarget - i
Ctarget * i
Dtarget / i
Attempts:
3 left
💡 Hint
Common Mistakes
Adding instead of subtracting increases target incorrectly.
Multiplying or dividing target causes wrong calculations.
4fill in blank
hard

Fill both blanks to create a dictionary comprehension that maps numbers to their squares for numbers less than 5.

DSA Python
squares = [1]: [2] for x in range(1, 10) if x < 5
Drag options to blanks, or click blank then click option'
Ax
Bx**2
Cx*2
Dx+2
Attempts:
3 left
💡 Hint
Common Mistakes
Using x*2 instead of x**2 gives wrong values.
Swapping keys and values reverses the dictionary.
5fill in blank
hard

Fill all three blanks to create a list comprehension that filters even numbers and squares them.

DSA Python
[x[1]2 for x in range(1, 11) if x [2] 2 == 0 and x > [3]]
Drag options to blanks, or click blank then click option'
A**
B%
C<
D5
Attempts:
3 left
💡 Hint
Common Mistakes
Using + instead of ** for squaring.
Using < instead of > for filtering.

Practice

(1/5)
1. What does the problem "Generate All Combinations Sum K" ask you to find?
easy
A. All unique combinations of numbers that add up to K
B. The largest number less than K
C. The count of numbers equal to K
D. The smallest number greater than K

Solution

  1. Step 1: Understand the problem goal

    The problem asks to find all unique sets of numbers that sum exactly to K.
  2. Step 2: Clarify uniqueness and sum condition

    Each combination must add up to K without duplicates in the result.
  3. Final Answer:

    All unique combinations of numbers that add up to K -> Option A
  4. Quick Check:

    Combinations sum to K = All unique combinations of numbers that add up to K [OK]
Hint: Focus on combinations that sum exactly to K [OK]
Common Mistakes:
  • Confusing combinations with permutations
  • Looking for single numbers equal to K
  • Ignoring the sum condition
2. Which of the following Python function signatures is correct to start solving "Generate All Combinations Sum K"?
easy
A. def combinationSumK(nums, k): return int
B. def combination_sum_k(k: int, nums: list[int]) -> list[int]:
C. def combination_sum_k(nums: int, k: int) -> list[int]:
D. def combination_sum_k(nums: list[int], k: int) -> list[list[int]]:

Solution

  1. Step 1: Check parameter types and return type

    The function should take a list of integers and an integer k, returning a list of lists of integers.
  2. Step 2: Match signature to problem needs

    def combination_sum_k(nums: list[int], k: int) -> list[list[int]]: matches the expected input and output types correctly.
  3. Final Answer:

    def combination_sum_k(nums: list[int], k: int) -> list[list[int]]: -> Option D
  4. Quick Check:

    Correct signature with list inputs and list of lists output [OK]
Hint: Use list[int] for input and list[list[int]] for output [OK]
Common Mistakes:
  • Wrong parameter types
  • Incorrect return type
  • Swapping parameter order
3. What is the output of the following code?
def comb_sum(nums, k):
    result = []
    def backtrack(start, path, total):
        if total == k:
            result.append(path[:])
            return
        if total > k:
            return
        for i in range(start, len(nums)):
            path.append(nums[i])
            backtrack(i + 1, path, total + nums[i])
            path.pop()
    backtrack(0, [], 0)
    return result

print(comb_sum([2,3,6,7], 7))
medium
A. [[2, 2, 3]]
B. [[2, 3, 6]]
C. [[7]]
D. [[3, 7]]

Solution

  1. Step 1: Trace backtracking with input [2,3,6,7] and target 7

    Check combinations starting from index 0, adding numbers without repetition.
  2. Step 2: Identify valid combinations summing to 7

    Only [7] sums exactly to 7 without exceeding or repeating indices.
  3. Final Answer:

    [[7]] -> Option C
  4. Quick Check:

    Only [7] sums to 7 in given list [OK]
Hint: Backtrack with index increment to avoid duplicates [OK]
Common Mistakes:
  • Allowing repeated elements
  • Not stopping when total > k
  • Appending path without copying
4. Find the error in this code snippet for generating combinations summing to k:
def comb_sum(nums, k):
    result = []
    def backtrack(start, path, total):
        if total == k:
            result.append(path[:])
            return
        if total > k:
            return
        for i in range(start, len(nums)):
            path.append(nums[i])
            backtrack(i, path, total + nums[i])
            path.pop()
    backtrack(0, [], 0)
    return result
medium
A. Appending path without copying causes all results to be the same
B. Using backtrack(i, ...) allows repeated elements incorrectly
C. Missing base case for total < k
D. Not initializing result as a global variable

Solution

  1. Step 1: Analyze recursive call backtrack(i, ...)

    Using i instead of i+1 allows reuse of the same element multiple times.
  2. Step 2: Understand problem requires unique combinations without repeats

    To avoid duplicates, index must increase to i+1 in recursive calls.
  3. Final Answer:

    Using backtrack(i, path, total + nums[i]) allows repeated elements incorrectly -> Option B
  4. Quick Check:

    Index must increase to avoid repeats [OK]
Hint: Increment index in recursion to prevent repeats [OK]
Common Mistakes:
  • Not copying path when appending
  • Allowing repeated elements by wrong index
  • Ignoring base cases
5. Given the list [1, 2, 3, 4, 5] and target sum 5, which of the following is the correct set of all unique combinations that sum to 5?
hard
A. [[1, 4], [2, 3], [5]]
B. [[1, 2, 2], [5]]
C. [[1, 1, 3], [2, 3]]
D. [[5, 0], [2, 3]]

Solution

  1. Step 1: List all combinations of numbers from [1,2,3,4,5] that sum to 5

    Possible sums: 1+4=5, 2+3=5, 5=5.
  2. Step 2: Verify uniqueness and validity

    Combinations like [1,2,2] or [1,1,3] are invalid as 2 or 1 repeated without duplicates allowed.
  3. Final Answer:

    [[1, 4], [2, 3], [5]] -> Option A
  4. Quick Check:

    Unique combos summing to 5 = [[1, 4], [2, 3], [5]] [OK]
Hint: Sum unique sets without repeating elements [OK]
Common Mistakes:
  • Including repeated elements not in input
  • Adding zero which is not in list
  • Ignoring uniqueness of combinations
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