Maximum Number in Mountain Sequence





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0















Given a mountain sequence of n integers which increase firstly and then decrease, find the mountain top.



Example



Given nums = [1, 2, 4, 8, 6, 3] return 8



Given nums = [10, 9, 8, 7], return 10



class Solution:
"""
@param nums: a mountain sequence which increase firstly and then decrease
@return: then mountain top
"""
def mountainSequence(self, nums):
# write your code here
if nums == :
return None
if len(nums) <= 1:
return nums[0]
elif len(nums) <= 2:
return max(nums[0], nums[1])


for i in range(len(nums) -2):
if nums[i] >= nums[i + 1]:
return nums[i]
return nums[-1]


it stuck at [3,5,3]. Based on my analysis, it went wrong after running the for loop. But I cannot figure it out why the for loop failed.










share|improve this question























  • given you do not try a binary search (and maybe you should); why not just max(nums)?

    – hiro protagonist
    Nov 16 '18 at 17:05











  • 10 is not a mountain - it does not increase beforehand only decrease after

    – Patrick Artner
    Nov 16 '18 at 17:09











  • what about plateaus: 7, 8, 9, 9, 9, 8, 7 ?

    – Patrick Artner
    Nov 16 '18 at 17:11













  • actually its not allowed to use max(). I was just being lazy to write some more if. LOL

    – Wei Bovey
    Nov 16 '18 at 17:16






  • 1





    You're providing a wrong argument to the range function and the loop is missing one element. Change it for range(len(nums) - 1).

    – fsinisi90
    Nov 16 '18 at 17:24




















0















Given a mountain sequence of n integers which increase firstly and then decrease, find the mountain top.



Example



Given nums = [1, 2, 4, 8, 6, 3] return 8



Given nums = [10, 9, 8, 7], return 10



class Solution:
"""
@param nums: a mountain sequence which increase firstly and then decrease
@return: then mountain top
"""
def mountainSequence(self, nums):
# write your code here
if nums == :
return None
if len(nums) <= 1:
return nums[0]
elif len(nums) <= 2:
return max(nums[0], nums[1])


for i in range(len(nums) -2):
if nums[i] >= nums[i + 1]:
return nums[i]
return nums[-1]


it stuck at [3,5,3]. Based on my analysis, it went wrong after running the for loop. But I cannot figure it out why the for loop failed.










share|improve this question























  • given you do not try a binary search (and maybe you should); why not just max(nums)?

    – hiro protagonist
    Nov 16 '18 at 17:05











  • 10 is not a mountain - it does not increase beforehand only decrease after

    – Patrick Artner
    Nov 16 '18 at 17:09











  • what about plateaus: 7, 8, 9, 9, 9, 8, 7 ?

    – Patrick Artner
    Nov 16 '18 at 17:11













  • actually its not allowed to use max(). I was just being lazy to write some more if. LOL

    – Wei Bovey
    Nov 16 '18 at 17:16






  • 1





    You're providing a wrong argument to the range function and the loop is missing one element. Change it for range(len(nums) - 1).

    – fsinisi90
    Nov 16 '18 at 17:24
















0












0








0








Given a mountain sequence of n integers which increase firstly and then decrease, find the mountain top.



Example



Given nums = [1, 2, 4, 8, 6, 3] return 8



Given nums = [10, 9, 8, 7], return 10



class Solution:
"""
@param nums: a mountain sequence which increase firstly and then decrease
@return: then mountain top
"""
def mountainSequence(self, nums):
# write your code here
if nums == :
return None
if len(nums) <= 1:
return nums[0]
elif len(nums) <= 2:
return max(nums[0], nums[1])


for i in range(len(nums) -2):
if nums[i] >= nums[i + 1]:
return nums[i]
return nums[-1]


it stuck at [3,5,3]. Based on my analysis, it went wrong after running the for loop. But I cannot figure it out why the for loop failed.










share|improve this question














Given a mountain sequence of n integers which increase firstly and then decrease, find the mountain top.



Example



Given nums = [1, 2, 4, 8, 6, 3] return 8



Given nums = [10, 9, 8, 7], return 10



class Solution:
"""
@param nums: a mountain sequence which increase firstly and then decrease
@return: then mountain top
"""
def mountainSequence(self, nums):
# write your code here
if nums == :
return None
if len(nums) <= 1:
return nums[0]
elif len(nums) <= 2:
return max(nums[0], nums[1])


for i in range(len(nums) -2):
if nums[i] >= nums[i + 1]:
return nums[i]
return nums[-1]


it stuck at [3,5,3]. Based on my analysis, it went wrong after running the for loop. But I cannot figure it out why the for loop failed.







python-3.x for-loop






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 16 '18 at 17:02









Wei BoveyWei Bovey

1514




1514













  • given you do not try a binary search (and maybe you should); why not just max(nums)?

    – hiro protagonist
    Nov 16 '18 at 17:05











  • 10 is not a mountain - it does not increase beforehand only decrease after

    – Patrick Artner
    Nov 16 '18 at 17:09











  • what about plateaus: 7, 8, 9, 9, 9, 8, 7 ?

    – Patrick Artner
    Nov 16 '18 at 17:11













  • actually its not allowed to use max(). I was just being lazy to write some more if. LOL

    – Wei Bovey
    Nov 16 '18 at 17:16






  • 1





    You're providing a wrong argument to the range function and the loop is missing one element. Change it for range(len(nums) - 1).

    – fsinisi90
    Nov 16 '18 at 17:24





















  • given you do not try a binary search (and maybe you should); why not just max(nums)?

    – hiro protagonist
    Nov 16 '18 at 17:05











  • 10 is not a mountain - it does not increase beforehand only decrease after

    – Patrick Artner
    Nov 16 '18 at 17:09











  • what about plateaus: 7, 8, 9, 9, 9, 8, 7 ?

    – Patrick Artner
    Nov 16 '18 at 17:11













  • actually its not allowed to use max(). I was just being lazy to write some more if. LOL

    – Wei Bovey
    Nov 16 '18 at 17:16






  • 1





    You're providing a wrong argument to the range function and the loop is missing one element. Change it for range(len(nums) - 1).

    – fsinisi90
    Nov 16 '18 at 17:24



















given you do not try a binary search (and maybe you should); why not just max(nums)?

– hiro protagonist
Nov 16 '18 at 17:05





given you do not try a binary search (and maybe you should); why not just max(nums)?

– hiro protagonist
Nov 16 '18 at 17:05













10 is not a mountain - it does not increase beforehand only decrease after

– Patrick Artner
Nov 16 '18 at 17:09





10 is not a mountain - it does not increase beforehand only decrease after

– Patrick Artner
Nov 16 '18 at 17:09













what about plateaus: 7, 8, 9, 9, 9, 8, 7 ?

– Patrick Artner
Nov 16 '18 at 17:11







what about plateaus: 7, 8, 9, 9, 9, 8, 7 ?

– Patrick Artner
Nov 16 '18 at 17:11















actually its not allowed to use max(). I was just being lazy to write some more if. LOL

– Wei Bovey
Nov 16 '18 at 17:16





actually its not allowed to use max(). I was just being lazy to write some more if. LOL

– Wei Bovey
Nov 16 '18 at 17:16




1




1





You're providing a wrong argument to the range function and the loop is missing one element. Change it for range(len(nums) - 1).

– fsinisi90
Nov 16 '18 at 17:24







You're providing a wrong argument to the range function and the loop is missing one element. Change it for range(len(nums) - 1).

– fsinisi90
Nov 16 '18 at 17:24














2 Answers
2






active

oldest

votes


















1














this should be more efficient than your approach. it is a binary search customized for your use-case:



def top(lst):
low = 0
high = len(lst)
while low != high:
i = (high+low)//2
if lst[i] < lst[i+1]:
low = i+1
else:
high = i
return low


it starts in the middle of the list and checks if the series is still increasing there. if it is it sets low and will ignore all indices below low for the rest of the algorithm. if the series decreases already, high is set to the current index and all the elements above are ignored. and so on... when high == low the algorithm terminates.



if you have two or more of the same elements at the maximum of your list (a plateau) the algorithm will not even terminate.



and i skipped the tests for empty lists or lists of length 1.






share|improve this answer


























  • Thank you for your answer. I know the binary search solution. I just want to figure out what's wrong with my code. But thx!

    – Wei Bovey
    Nov 16 '18 at 19:11











  • you ignore the last element in your last for loop... should be range(len(nums) - 1) .

    – hiro protagonist
    Nov 16 '18 at 19:37











  • OMG! Gotcha! Thank you so much!

    – Wei Bovey
    Nov 18 '18 at 18:47



















0














This will get all triplets from your input, isolate all that are higher in the middle then left or right and return the one that is highest overall:



def get_mountain_top(seq):
triplets = zip(seq, seq[1:], seq[2:])

tops = list(filter(lambda x: x[0] < x[1] > x[2], triplets))

if tops:
# max not allowed, leverage sorted
return sorted(tops, key = lambda x:x[1])[-1]
# return max(tops,key = lambda x:x[1])

return None


print(get_mountain_top([1,2,3,4,3,2,3,4,5,6,7,6,5]))
print(get_mountain_top([1,1,1]))


Output:



(6,7,6)
None


It does not handle plateaus.



Doku:




  • zip(), filter() and max()






share|improve this answer


























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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    this should be more efficient than your approach. it is a binary search customized for your use-case:



    def top(lst):
    low = 0
    high = len(lst)
    while low != high:
    i = (high+low)//2
    if lst[i] < lst[i+1]:
    low = i+1
    else:
    high = i
    return low


    it starts in the middle of the list and checks if the series is still increasing there. if it is it sets low and will ignore all indices below low for the rest of the algorithm. if the series decreases already, high is set to the current index and all the elements above are ignored. and so on... when high == low the algorithm terminates.



    if you have two or more of the same elements at the maximum of your list (a plateau) the algorithm will not even terminate.



    and i skipped the tests for empty lists or lists of length 1.






    share|improve this answer


























    • Thank you for your answer. I know the binary search solution. I just want to figure out what's wrong with my code. But thx!

      – Wei Bovey
      Nov 16 '18 at 19:11











    • you ignore the last element in your last for loop... should be range(len(nums) - 1) .

      – hiro protagonist
      Nov 16 '18 at 19:37











    • OMG! Gotcha! Thank you so much!

      – Wei Bovey
      Nov 18 '18 at 18:47
















    1














    this should be more efficient than your approach. it is a binary search customized for your use-case:



    def top(lst):
    low = 0
    high = len(lst)
    while low != high:
    i = (high+low)//2
    if lst[i] < lst[i+1]:
    low = i+1
    else:
    high = i
    return low


    it starts in the middle of the list and checks if the series is still increasing there. if it is it sets low and will ignore all indices below low for the rest of the algorithm. if the series decreases already, high is set to the current index and all the elements above are ignored. and so on... when high == low the algorithm terminates.



    if you have two or more of the same elements at the maximum of your list (a plateau) the algorithm will not even terminate.



    and i skipped the tests for empty lists or lists of length 1.






    share|improve this answer


























    • Thank you for your answer. I know the binary search solution. I just want to figure out what's wrong with my code. But thx!

      – Wei Bovey
      Nov 16 '18 at 19:11











    • you ignore the last element in your last for loop... should be range(len(nums) - 1) .

      – hiro protagonist
      Nov 16 '18 at 19:37











    • OMG! Gotcha! Thank you so much!

      – Wei Bovey
      Nov 18 '18 at 18:47














    1












    1








    1







    this should be more efficient than your approach. it is a binary search customized for your use-case:



    def top(lst):
    low = 0
    high = len(lst)
    while low != high:
    i = (high+low)//2
    if lst[i] < lst[i+1]:
    low = i+1
    else:
    high = i
    return low


    it starts in the middle of the list and checks if the series is still increasing there. if it is it sets low and will ignore all indices below low for the rest of the algorithm. if the series decreases already, high is set to the current index and all the elements above are ignored. and so on... when high == low the algorithm terminates.



    if you have two or more of the same elements at the maximum of your list (a plateau) the algorithm will not even terminate.



    and i skipped the tests for empty lists or lists of length 1.






    share|improve this answer















    this should be more efficient than your approach. it is a binary search customized for your use-case:



    def top(lst):
    low = 0
    high = len(lst)
    while low != high:
    i = (high+low)//2
    if lst[i] < lst[i+1]:
    low = i+1
    else:
    high = i
    return low


    it starts in the middle of the list and checks if the series is still increasing there. if it is it sets low and will ignore all indices below low for the rest of the algorithm. if the series decreases already, high is set to the current index and all the elements above are ignored. and so on... when high == low the algorithm terminates.



    if you have two or more of the same elements at the maximum of your list (a plateau) the algorithm will not even terminate.



    and i skipped the tests for empty lists or lists of length 1.







    share|improve this answer














    share|improve this answer



    share|improve this answer








    edited Nov 16 '18 at 18:16

























    answered Nov 16 '18 at 17:15









    hiro protagonisthiro protagonist

    20.7k74264




    20.7k74264













    • Thank you for your answer. I know the binary search solution. I just want to figure out what's wrong with my code. But thx!

      – Wei Bovey
      Nov 16 '18 at 19:11











    • you ignore the last element in your last for loop... should be range(len(nums) - 1) .

      – hiro protagonist
      Nov 16 '18 at 19:37











    • OMG! Gotcha! Thank you so much!

      – Wei Bovey
      Nov 18 '18 at 18:47



















    • Thank you for your answer. I know the binary search solution. I just want to figure out what's wrong with my code. But thx!

      – Wei Bovey
      Nov 16 '18 at 19:11











    • you ignore the last element in your last for loop... should be range(len(nums) - 1) .

      – hiro protagonist
      Nov 16 '18 at 19:37











    • OMG! Gotcha! Thank you so much!

      – Wei Bovey
      Nov 18 '18 at 18:47

















    Thank you for your answer. I know the binary search solution. I just want to figure out what's wrong with my code. But thx!

    – Wei Bovey
    Nov 16 '18 at 19:11





    Thank you for your answer. I know the binary search solution. I just want to figure out what's wrong with my code. But thx!

    – Wei Bovey
    Nov 16 '18 at 19:11













    you ignore the last element in your last for loop... should be range(len(nums) - 1) .

    – hiro protagonist
    Nov 16 '18 at 19:37





    you ignore the last element in your last for loop... should be range(len(nums) - 1) .

    – hiro protagonist
    Nov 16 '18 at 19:37













    OMG! Gotcha! Thank you so much!

    – Wei Bovey
    Nov 18 '18 at 18:47





    OMG! Gotcha! Thank you so much!

    – Wei Bovey
    Nov 18 '18 at 18:47













    0














    This will get all triplets from your input, isolate all that are higher in the middle then left or right and return the one that is highest overall:



    def get_mountain_top(seq):
    triplets = zip(seq, seq[1:], seq[2:])

    tops = list(filter(lambda x: x[0] < x[1] > x[2], triplets))

    if tops:
    # max not allowed, leverage sorted
    return sorted(tops, key = lambda x:x[1])[-1]
    # return max(tops,key = lambda x:x[1])

    return None


    print(get_mountain_top([1,2,3,4,3,2,3,4,5,6,7,6,5]))
    print(get_mountain_top([1,1,1]))


    Output:



    (6,7,6)
    None


    It does not handle plateaus.



    Doku:




    • zip(), filter() and max()






    share|improve this answer






























      0














      This will get all triplets from your input, isolate all that are higher in the middle then left or right and return the one that is highest overall:



      def get_mountain_top(seq):
      triplets = zip(seq, seq[1:], seq[2:])

      tops = list(filter(lambda x: x[0] < x[1] > x[2], triplets))

      if tops:
      # max not allowed, leverage sorted
      return sorted(tops, key = lambda x:x[1])[-1]
      # return max(tops,key = lambda x:x[1])

      return None


      print(get_mountain_top([1,2,3,4,3,2,3,4,5,6,7,6,5]))
      print(get_mountain_top([1,1,1]))


      Output:



      (6,7,6)
      None


      It does not handle plateaus.



      Doku:




      • zip(), filter() and max()






      share|improve this answer




























        0












        0








        0







        This will get all triplets from your input, isolate all that are higher in the middle then left or right and return the one that is highest overall:



        def get_mountain_top(seq):
        triplets = zip(seq, seq[1:], seq[2:])

        tops = list(filter(lambda x: x[0] < x[1] > x[2], triplets))

        if tops:
        # max not allowed, leverage sorted
        return sorted(tops, key = lambda x:x[1])[-1]
        # return max(tops,key = lambda x:x[1])

        return None


        print(get_mountain_top([1,2,3,4,3,2,3,4,5,6,7,6,5]))
        print(get_mountain_top([1,1,1]))


        Output:



        (6,7,6)
        None


        It does not handle plateaus.



        Doku:




        • zip(), filter() and max()






        share|improve this answer















        This will get all triplets from your input, isolate all that are higher in the middle then left or right and return the one that is highest overall:



        def get_mountain_top(seq):
        triplets = zip(seq, seq[1:], seq[2:])

        tops = list(filter(lambda x: x[0] < x[1] > x[2], triplets))

        if tops:
        # max not allowed, leverage sorted
        return sorted(tops, key = lambda x:x[1])[-1]
        # return max(tops,key = lambda x:x[1])

        return None


        print(get_mountain_top([1,2,3,4,3,2,3,4,5,6,7,6,5]))
        print(get_mountain_top([1,1,1]))


        Output:



        (6,7,6)
        None


        It does not handle plateaus.



        Doku:




        • zip(), filter() and max()







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 16 '18 at 17:28

























        answered Nov 16 '18 at 17:21









        Patrick ArtnerPatrick Artner

        26.6k62544




        26.6k62544






























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