Find the first input value whose final frequency is one.

Algorithm

Canonical input [3, 5, 2, 5, 3, 8, 2] prints 8. The replay uses the same input in every language, so this Fortran DSA implementation can be compared directly with the rest of the DSA track.

two-pass lookup The first pass builds a frequency table. The second pass keeps the original order and stops at the first value with frequency one.

Basic Implementation

basic.f90
Replay: real traced execution (multi-file project)
program main
  implicit none
  integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]
  integer :: count(10) = 0
  integer :: i
  do i = 1, 7
    count(arr(i)) = count(arr(i)) + 1
  end do
  do i = 1, 7
    if (count(arr(i)) == 1) then
      print '(I0)', arr(i)
      exit
    end if
  end do
end program main
  1. arr ← [3, 5, 2, 5, 3, 8, 2]

    1program main2  implicit none
    values this step[3, 5, 2, 5, 3, 8, 2]arr
  2. count ← {}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{}count
  3. count ← {3: 1}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{} {3: 1}count3value
  4. count ← {3: 1, 5: 1}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{3: 1} {3: 1, 5: 1}count5value
  5. count ← {3: 1, 5: 1, 2: 1}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{3: 1, 5: 1} {3: 1, 5: 1, 2: 1}count2value
  6. count ← {3: 1, 5: 2, 2: 1}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{3: 1, 5: 1, 2: 1} {3: 1, 5: 2, 2: 1}count5value
  7. count ← {3: 2, 5: 2, 2: 1}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{3: 1, 5: 2, 2: 1} {3: 2, 5: 2, 2: 1}count3value
  8. count ← {3: 2, 5: 2, 2: 1, 8: 1}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{3: 2, 5: 2, 2: 1} {3: 2, 5: 2, 2: 1, 8: 1}count8value
  9. count ← {3: 2, 5: 2, 2: 2, 8: 1}

    3integer :: arr(7) = [3, 5, 2, 5, 3, 8, 2]4integer :: count(10) = 05integer :: i
    values this step{3: 2, 5: 2, 2: 1, 8: 1} {3: 2, 5: 2, 2: 2, 8: 1}count2value
  10. i ← 0, value ← 3, count[value] ← 2, found ← no

    1program main2  implicit none
    values this step0i3value2count[value]nofound{3: 2, 5: 2, 2: 2, 8: 1}count
  11. i ← 1, value ← 5, count[value] ← 2, found ← no

    1program main2  implicit none
    values this step1i5value2count[value]nofound{3: 2, 5: 2, 2: 2, 8: 1}count
  12. i ← 2, value ← 2, count[value] ← 2, found ← no

    1program main2  implicit none
    values this step2i2value2count[value]nofound{3: 2, 5: 2, 2: 2, 8: 1}count
  13. i ← 3, value ← 5, count[value] ← 2, found ← no

    1program main2  implicit none
    values this step3i5value2count[value]nofound{3: 2, 5: 2, 2: 2, 8: 1}count
  14. i ← 4, value ← 3, count[value] ← 2, found ← no

    1program main2  implicit none
    values this step4i3value2count[value]nofound{3: 2, 5: 2, 2: 2, 8: 1}count
  15. i ← 5, value ← 8, count[value] ← 1, found ← yes, result ← 8

    1program main2  implicit none
    values this step5i8value1count[value]yesfound8result{3: 2, 5: 2, 2: 2, 8: 1}count
  16. stdout ← 8

    10if (count(arr(i)) == 1) then11  print '(I0)', arr(i)12  exit
    values this step8stdout8result

Complexity

  • Time: O(n) average
  • Space: O(k) for k distinct values

Implementation notes

  • Keep output formatting deterministic. Do not rely on unordered hash-map printing when the lesson needs cross-language comparison.
  • The trace highlights the hash table state after each write.