Student Attendance Record II











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I'm currently working on the Student Attendance Record II problem:




Given a positive integer $n$, return the number of all possible
attendance records with length $n$, which will be regarded as
rewardable. The answer may be very large, return it after mod 109 + 7.



A student attendance record is a string that only contains the
following three characters:



'A' : Absent.
'L' : Late.
'P' : Present.


A record is regarded as rewardable if it doesn't contain more than one 'A' (absent) or more than two continuous 'L' (late).




The idea is to use Dynamic Programming to use the results for smaller n to calculate the results of bigger n. I'm currently keeping two lists - one to track L and P and the other - to track A:



MODULO = 10 ** 9 + 7

class Solution(object):
def checkRecord(self, n):
lates = [[0, 0, 0], [1, 1, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]
absences = [[0, 0, 0], [1, 0, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]

for i in xrange(2, n + 1):
last_late_row = lates[i - 1]
last_late_row_sum = last_late_row[0] + last_late_row[1] + last_late_row[2]

last_absence_row = absences[i - 1]
last_absence_row_sum = last_absence_row[0] + last_absence_row[1] + last_absence_row[2]

lates[i] = last_late_row_sum % MODULO, last_late_row[0], last_late_row[1]
absences[i] = ((last_late_row_sum + last_absence_row_sum) % MODULO, last_absence_row[0], last_absence_row[1])

return (sum(lates[n]) + sum(absences[n])) % MODULO


The code works, but it does not pass the Time Limit requirements for big n. Even though, for n = 100000 LeetCode OJ runs it for only ~220ms.



How would you recommend to improve on running time?










share|improve this question






















  • Hey. Can you explain your algorithm?
    – Raghuram Vadapalli
    Sep 12 '17 at 17:37















up vote
4
down vote

favorite












I'm currently working on the Student Attendance Record II problem:




Given a positive integer $n$, return the number of all possible
attendance records with length $n$, which will be regarded as
rewardable. The answer may be very large, return it after mod 109 + 7.



A student attendance record is a string that only contains the
following three characters:



'A' : Absent.
'L' : Late.
'P' : Present.


A record is regarded as rewardable if it doesn't contain more than one 'A' (absent) or more than two continuous 'L' (late).




The idea is to use Dynamic Programming to use the results for smaller n to calculate the results of bigger n. I'm currently keeping two lists - one to track L and P and the other - to track A:



MODULO = 10 ** 9 + 7

class Solution(object):
def checkRecord(self, n):
lates = [[0, 0, 0], [1, 1, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]
absences = [[0, 0, 0], [1, 0, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]

for i in xrange(2, n + 1):
last_late_row = lates[i - 1]
last_late_row_sum = last_late_row[0] + last_late_row[1] + last_late_row[2]

last_absence_row = absences[i - 1]
last_absence_row_sum = last_absence_row[0] + last_absence_row[1] + last_absence_row[2]

lates[i] = last_late_row_sum % MODULO, last_late_row[0], last_late_row[1]
absences[i] = ((last_late_row_sum + last_absence_row_sum) % MODULO, last_absence_row[0], last_absence_row[1])

return (sum(lates[n]) + sum(absences[n])) % MODULO


The code works, but it does not pass the Time Limit requirements for big n. Even though, for n = 100000 LeetCode OJ runs it for only ~220ms.



How would you recommend to improve on running time?










share|improve this question






















  • Hey. Can you explain your algorithm?
    – Raghuram Vadapalli
    Sep 12 '17 at 17:37













up vote
4
down vote

favorite









up vote
4
down vote

favorite











I'm currently working on the Student Attendance Record II problem:




Given a positive integer $n$, return the number of all possible
attendance records with length $n$, which will be regarded as
rewardable. The answer may be very large, return it after mod 109 + 7.



A student attendance record is a string that only contains the
following three characters:



'A' : Absent.
'L' : Late.
'P' : Present.


A record is regarded as rewardable if it doesn't contain more than one 'A' (absent) or more than two continuous 'L' (late).




The idea is to use Dynamic Programming to use the results for smaller n to calculate the results of bigger n. I'm currently keeping two lists - one to track L and P and the other - to track A:



MODULO = 10 ** 9 + 7

class Solution(object):
def checkRecord(self, n):
lates = [[0, 0, 0], [1, 1, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]
absences = [[0, 0, 0], [1, 0, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]

for i in xrange(2, n + 1):
last_late_row = lates[i - 1]
last_late_row_sum = last_late_row[0] + last_late_row[1] + last_late_row[2]

last_absence_row = absences[i - 1]
last_absence_row_sum = last_absence_row[0] + last_absence_row[1] + last_absence_row[2]

lates[i] = last_late_row_sum % MODULO, last_late_row[0], last_late_row[1]
absences[i] = ((last_late_row_sum + last_absence_row_sum) % MODULO, last_absence_row[0], last_absence_row[1])

return (sum(lates[n]) + sum(absences[n])) % MODULO


The code works, but it does not pass the Time Limit requirements for big n. Even though, for n = 100000 LeetCode OJ runs it for only ~220ms.



How would you recommend to improve on running time?










share|improve this question













I'm currently working on the Student Attendance Record II problem:




Given a positive integer $n$, return the number of all possible
attendance records with length $n$, which will be regarded as
rewardable. The answer may be very large, return it after mod 109 + 7.



A student attendance record is a string that only contains the
following three characters:



'A' : Absent.
'L' : Late.
'P' : Present.


A record is regarded as rewardable if it doesn't contain more than one 'A' (absent) or more than two continuous 'L' (late).




The idea is to use Dynamic Programming to use the results for smaller n to calculate the results of bigger n. I'm currently keeping two lists - one to track L and P and the other - to track A:



MODULO = 10 ** 9 + 7

class Solution(object):
def checkRecord(self, n):
lates = [[0, 0, 0], [1, 1, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]
absences = [[0, 0, 0], [1, 0, 0]] + [[0, 0, 0] for _ in xrange(2, n + 1)]

for i in xrange(2, n + 1):
last_late_row = lates[i - 1]
last_late_row_sum = last_late_row[0] + last_late_row[1] + last_late_row[2]

last_absence_row = absences[i - 1]
last_absence_row_sum = last_absence_row[0] + last_absence_row[1] + last_absence_row[2]

lates[i] = last_late_row_sum % MODULO, last_late_row[0], last_late_row[1]
absences[i] = ((last_late_row_sum + last_absence_row_sum) % MODULO, last_absence_row[0], last_absence_row[1])

return (sum(lates[n]) + sum(absences[n])) % MODULO


The code works, but it does not pass the Time Limit requirements for big n. Even though, for n = 100000 LeetCode OJ runs it for only ~220ms.



How would you recommend to improve on running time?







python performance python-2.x dynamic-programming






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Apr 16 '17 at 3:41









alecxe

14.6k53377




14.6k53377












  • Hey. Can you explain your algorithm?
    – Raghuram Vadapalli
    Sep 12 '17 at 17:37


















  • Hey. Can you explain your algorithm?
    – Raghuram Vadapalli
    Sep 12 '17 at 17:37
















Hey. Can you explain your algorithm?
– Raghuram Vadapalli
Sep 12 '17 at 17:37




Hey. Can you explain your algorithm?
– Raghuram Vadapalli
Sep 12 '17 at 17:37










2 Answers
2






active

oldest

votes

















up vote
3
down vote













It's often helpful to explain the problem to someone else just to see things clearer and come up with a possible solution. Here is what I've just realized.



We don't actually need to keep the complete list during our calculations and only need a single row at a time. Let's reuse it and recalculate the cell values in the loop:



MODULO = 10 ** 9 + 7

class Solution(object):
def checkRecord(self, n):
lates = [1, 1, 0]
absences = [1, 0, 0]

for i in xrange(2, n + 1):
sum_lates = sum(lates)
lates = sum_lates % MODULO, lates[0], lates[1]
absences = (sum_lates + sum(absences) % MODULO, absences[0], absences[1])

return (sum(lates) + sum(absences)) % MODULO


I think I've seen this technique before and, if I remember correctly, it is called "Rolling Array".






share|improve this answer




























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    0
    down vote



    accepted










    Testing WB hats award (will remove the answer shortly).






    share|improve this answer





















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      2 Answers
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      2 Answers
      2






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      active

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      up vote
      3
      down vote













      It's often helpful to explain the problem to someone else just to see things clearer and come up with a possible solution. Here is what I've just realized.



      We don't actually need to keep the complete list during our calculations and only need a single row at a time. Let's reuse it and recalculate the cell values in the loop:



      MODULO = 10 ** 9 + 7

      class Solution(object):
      def checkRecord(self, n):
      lates = [1, 1, 0]
      absences = [1, 0, 0]

      for i in xrange(2, n + 1):
      sum_lates = sum(lates)
      lates = sum_lates % MODULO, lates[0], lates[1]
      absences = (sum_lates + sum(absences) % MODULO, absences[0], absences[1])

      return (sum(lates) + sum(absences)) % MODULO


      I think I've seen this technique before and, if I remember correctly, it is called "Rolling Array".






      share|improve this answer

























        up vote
        3
        down vote













        It's often helpful to explain the problem to someone else just to see things clearer and come up with a possible solution. Here is what I've just realized.



        We don't actually need to keep the complete list during our calculations and only need a single row at a time. Let's reuse it and recalculate the cell values in the loop:



        MODULO = 10 ** 9 + 7

        class Solution(object):
        def checkRecord(self, n):
        lates = [1, 1, 0]
        absences = [1, 0, 0]

        for i in xrange(2, n + 1):
        sum_lates = sum(lates)
        lates = sum_lates % MODULO, lates[0], lates[1]
        absences = (sum_lates + sum(absences) % MODULO, absences[0], absences[1])

        return (sum(lates) + sum(absences)) % MODULO


        I think I've seen this technique before and, if I remember correctly, it is called "Rolling Array".






        share|improve this answer























          up vote
          3
          down vote










          up vote
          3
          down vote









          It's often helpful to explain the problem to someone else just to see things clearer and come up with a possible solution. Here is what I've just realized.



          We don't actually need to keep the complete list during our calculations and only need a single row at a time. Let's reuse it and recalculate the cell values in the loop:



          MODULO = 10 ** 9 + 7

          class Solution(object):
          def checkRecord(self, n):
          lates = [1, 1, 0]
          absences = [1, 0, 0]

          for i in xrange(2, n + 1):
          sum_lates = sum(lates)
          lates = sum_lates % MODULO, lates[0], lates[1]
          absences = (sum_lates + sum(absences) % MODULO, absences[0], absences[1])

          return (sum(lates) + sum(absences)) % MODULO


          I think I've seen this technique before and, if I remember correctly, it is called "Rolling Array".






          share|improve this answer












          It's often helpful to explain the problem to someone else just to see things clearer and come up with a possible solution. Here is what I've just realized.



          We don't actually need to keep the complete list during our calculations and only need a single row at a time. Let's reuse it and recalculate the cell values in the loop:



          MODULO = 10 ** 9 + 7

          class Solution(object):
          def checkRecord(self, n):
          lates = [1, 1, 0]
          absences = [1, 0, 0]

          for i in xrange(2, n + 1):
          sum_lates = sum(lates)
          lates = sum_lates % MODULO, lates[0], lates[1]
          absences = (sum_lates + sum(absences) % MODULO, absences[0], absences[1])

          return (sum(lates) + sum(absences)) % MODULO


          I think I've seen this technique before and, if I remember correctly, it is called "Rolling Array".







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Apr 16 '17 at 3:49









          alecxe

          14.6k53377




          14.6k53377
























              up vote
              0
              down vote



              accepted










              Testing WB hats award (will remove the answer shortly).






              share|improve this answer

























                up vote
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                down vote



                accepted










                Testing WB hats award (will remove the answer shortly).






                share|improve this answer























                  up vote
                  0
                  down vote



                  accepted







                  up vote
                  0
                  down vote



                  accepted






                  Testing WB hats award (will remove the answer shortly).






                  share|improve this answer












                  Testing WB hats award (will remove the answer shortly).







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered 4 hours ago









                  alecxe

                  14.6k53377




                  14.6k53377






























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