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DSA Pythonprogramming~10 mins

Allocate Minimum Pages Binary Search on Answer in DSA Python - Interactive Practice

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

Complete the code to check if allocation is possible with given max pages.

DSA Python
def is_possible(arr, n, m, [1]):
    students = 1
    pages_sum = 0
    for i in range(n):
        if arr[i] > max_pages:
            return False
        if pages_sum + arr[i] > max_pages:
            students += 1
            pages_sum = arr[i]
            if students > m:
                return False
        else:
            pages_sum += arr[i]
    return True
Drag options to blanks, or click blank then click option'
Amax_sum
Bmin_pages
Cmid
Dmax_pages
Attempts:
3 left
💡 Hint
Common Mistakes
Using a variable name that is not defined in the function parameters.
Confusing max_pages with mid or min_pages.
2fill in blank
medium

Complete the code to calculate mid value for binary search.

DSA Python
def find_pages(arr, n, m):
    start = max(arr)
    end = sum(arr)
    result = end
    while start <= end:
        [1] = (start + end) // 2
        if is_possible(arr, n, m, mid):
            result = mid
            end = mid - 1
        else:
            start = mid + 1
    return result
Drag options to blanks, or click blank then click option'
Amid
Bmidpoint
Cmiddle
Dmedian
Attempts:
3 left
💡 Hint
Common Mistakes
Using variable names not matching the rest of the code.
Using float division instead of integer division.
3fill in blank
hard

Fix the error in the loop condition to correctly perform binary search.

DSA Python
def find_pages(arr, n, m):
    start = max(arr)
    end = sum(arr)
    result = end
    while [1]:
        mid = (start + end) // 2
        if is_possible(arr, n, m, mid):
            result = mid
            end = mid - 1
        else:
            start = mid + 1
    return result
Drag options to blanks, or click blank then click option'
Astart < end
Bstart == end
Cstart <= end
Dstart >= end
Attempts:
3 left
💡 Hint
Common Mistakes
Using < instead of <= causing missing the last check.
Using >= or == which breaks the loop logic.
4fill in blank
hard

Fill both blanks to correctly update the binary search range after checking feasibility.

DSA Python
def find_pages(arr, n, m):
    start = max(arr)
    end = sum(arr)
    result = end
    while start <= end:
        mid = (start + end) // 2
        if is_possible(arr, n, m, mid):
            result = mid
            [1] = mid - 1
        else:
            [2] = mid + 1
    return result
Drag options to blanks, or click blank then click option'
Aend
Bstart
Cresult
Dmid
Attempts:
3 left
💡 Hint
Common Mistakes
Swapping start and end updates.
Updating result instead of start or end.
5fill in blank
hard

Fill all three blanks to complete the function that returns minimum pages allocation.

DSA Python
def allocate_min_pages(arr, n, m):
    if m > n:
        return -1
    start = max(arr)
    end = sum(arr)
    result = end
    while start <= end:
        mid = (start + end) // 2
        if is_possible(arr, n, m, mid):
            result = [1]
            end = [2]
        else:
            start = [3]
    return result
Drag options to blanks, or click blank then click option'
Amid
Bmid - 1
Cmid + 1
Dstart
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong variables for start or end updates.
Not updating result correctly.

Practice

(1/5)
1. What is the main goal of the Allocate Minimum Pages problem when using binary search on the answer?
easy
A. To find the minimum maximum number of pages assigned to a student
B. To maximize the total pages assigned to all students
C. To find the maximum number of students that can be assigned books
D. To minimize the total number of books assigned

Solution

  1. Step 1: Understand the problem goal

    The problem aims to allocate books to students such that the maximum pages assigned to any student is minimized.
  2. Step 2: Clarify the binary search target

    Binary search is used on the range of possible maximum pages to find the smallest feasible maximum.
  3. Final Answer:

    To find the minimum maximum number of pages assigned to a student -> Option A
  4. Quick Check:

    Minimum max pages = goal [OK]
Hint: Focus on minimizing the largest pages any student gets [OK]
Common Mistakes:
  • Confusing total pages with maximum pages per student
  • Trying to maximize pages instead of minimizing
  • Ignoring the binary search on answer approach
2. Which of the following is the correct way to initialize the binary search boundaries for the Allocate Minimum Pages problem given an array pages of book pages?
easy
A. low = sum(pages), high = max(pages)
B. low = max(pages), high = sum(pages)
C. low = 0, high = max(pages)
D. low = 0, high = sum(pages) * 2

Solution

  1. Step 1: Determine minimum and maximum possible max pages

    The minimum max pages is at least the largest single book (max of pages), and the maximum is the sum of all pages if one student gets all books.
  2. Step 2: Set binary search boundaries accordingly

    Set low = max(pages) and high = sum(pages) to cover all feasible max page values.
  3. Final Answer:

    low = max(pages), high = sum(pages) -> Option B
  4. Quick Check:

    Boundaries = max and sum [OK]
Hint: Low starts at max single book, high at total pages sum [OK]
Common Mistakes:
  • Setting low to 0 which is invalid
  • Swapping low and high values
  • Using arbitrary high value instead of sum
3. What will be the output of the following code snippet?
def is_possible(pages, students, mid):
    count = 1
    total = 0
    for p in pages:
        if total + p > mid:
            count += 1
            total = p
            if count > students:
                return False
        else:
            total += p
    return True

pages = [10, 20, 30, 40]
students = 2
mid = 50
print(is_possible(pages, students, mid))
medium
A. True
B. None
C. SyntaxError
D. False

Solution

  1. Step 1: Trace the allocation with mid = 50

    pages=[10,20,30,40], students=2: count=1, total=0 - p=10: total=10 <=50 - p=20: total=30 <=50 - p=30: 30+30=60 >50 -> count=2, total=30 - p=40: 30+40=70 >50 -> count=3 >2 -> return False
  2. Step 2: Check if count exceeds students

    Count reaches 3 > 2, so return False.
  3. Final Answer:

    False -> Option D
  4. Quick Check:

    Allocation not possible with mid=50 = False [OK]
Hint: Check if books fit in mid pages per student [OK]
Common Mistakes:
  • Miscounting students needed
  • Adding pages incorrectly
  • Confusing > and >= in condition
4. Identify the bug in the following code snippet for the Allocate Minimum Pages problem:
def allocate_pages(pages, students):
    low = max(pages)
    high = sum(pages)
    result = 0
    while low <= high:
        mid = (low + high) // 2
        if is_possible(pages, students, mid):
            result = mid
            low = mid + 1
        else:
            high = mid - 1
    return result
medium
A. The high pointer should move to mid - 1 when allocation is possible
B. The low pointer should move to mid + 1 when allocation is possible
C. The low pointer should move to mid when allocation is possible
D. The low pointer should move to mid - 1 when allocation is not possible

Solution

  1. Step 1: Understand binary search update rules

    If allocation is possible at mid, we try to find smaller max pages by moving high to mid - 1. If not possible, we increase low to mid + 1.
  2. Step 2: Identify incorrect pointer update

    The code incorrectly moves low to mid + 1 when allocation is possible instead of high to mid - 1, which searches larger values instead of smaller.
  3. Final Answer:

    The high pointer should move to mid - 1 when allocation is possible -> Option A
  4. Quick Check:

    Move high down when allocation succeeds [OK]
Hint: Move low up only when allocation fails, else move high down [OK]
Common Mistakes:
  • Swapping low and high updates
  • Not updating pointers correctly causing infinite loop
  • Returning wrong result due to pointer errors
5. Given the books with pages [12, 34, 67, 90] and 3 students, what is the minimum possible maximum number of pages assigned to a student using binary search on answer?
hard
A. 67
B. 113
C. 90
D. 34

Solution

  1. Step 1: Set binary search boundaries

    low = max(pages) = 90, high = sum(pages) = 203.
  2. Step 2: Check feasibility at mid values

    Try mid = (90+203)//2 = 146: count=1, total=0 - p=12: total=12 <=146 - p=34: total=46 <=146 - p=67: total=113 <=146 - p=90: 113+90=203 >146 -> count=2, total=90 count=2 <=3, possible -> try smaller max Try mid = (90+145)//2 = 117: count=1, total=0 - p=12: total=12 <=117 - p=34: total=46 <=117 - p=67: total=113 <=117 - p=90: 113+90=203 >117 -> count=2, total=90 count=2 <=3, possible -> try smaller max Try mid = (90+116)//2 = 103: count=1, total=0 - p=12: total=12 <=103 - p=34: total=46 <=103 - p=67: 46+67=113 >103 -> count=2, total=67 - p=90: 67+90=157 >103 -> count=3, total=90 count=3 <=3, possible -> try smaller max Try mid = (90+102)//2 = 96: count=1, total=0 - p=12: total=12 <=96 - p=34: total=46 <=96 - p=67: 46+67=113 >96 -> count=2, total=67 - p=90: 67+90=157 >96 -> count=3, total=90 count=3 <=3, possible -> try smaller max Try mid = (90+95)//2 = 92: count=1, total=0 - p=12: total=12 <=92 - p=34: total=46 <=92 - p=67: 46+67=113 >92 -> count=2, total=67 - p=90: 67+90=157 >92 -> count=3, total=90 count=3 <=3, possible -> try smaller max Try mid = (90+91)//2 = 90: count=1, total=0 - p=12: total=12 <=90 - p=34: total=46 <=90 - p=67: 46+67=113 >90 -> count=2, total=67 - p=90: 67+90=157 >90 -> count=3, total=90 count=3 <=3, possible Try mid = (90+89)//2 = 89 (low > high, stop) Minimum max pages = 90
  3. Final Answer:

    90 -> Option C
  4. Quick Check:

    Minimum max pages = 90 [OK]
Hint: Binary search between max single book and total pages sum [OK]
Common Mistakes:
  • Choosing max single book as answer without checking feasibility
  • Not updating low and high correctly during binary search
  • Misallocating books to students during checks
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