A set solution to 3 sum which slower than 80%












1












$begingroup$


I use a dummy solution to solve 3Sum problem.



that is employ set date type to handle duplicates then transform back list.




Given an array nums of n integers, are there elements a, b in nums such that a + b = 9? Find all unique couples in the array which gives the sum of zero.



Note:



The solution set must not contain duplicate triplets.



Example:



Given array nums = [-1, 0, 1, 2, -1, -4],

A solution set is:
[
[-1, 0, 1],
[-1, -1, 2]
]



My codes:



from typing import List
import logging
import unittest
import random
from collections import defaultdict,Counter

##logging.disable(level=#logging.CRITICAL)
##logging.basicConfig(level=#logging.DEBUG, format="%(levelname)s %(message)s")

class Solution:
def threeSum(self, nums, target: int=0) -> List[List[int]]:
"""
:type nums: List[int]
:type target: int
"""
if len(nums) < 3: return

triplets =
if target == [0, 0, 0]:
triplets.append([0, 0, 0])
return triplets # finish fast

lookup = {nums[i]:i for i in range(len(nums))} #overwrite from the high
if len(lookup) == 1:#assert one identical element
keys = [k for k in lookup.keys()]
if keys[0] != 0:
return
else:
triplets.append([0,0,0])
return triplets



triplets_set = set()

for i in range(len(nums)):
num_1 = nums[i]
sub_target = target - num_1
# #logging.debug(f"level_1_lookup: {lookup}")

for j in range(i+1, len(nums)):
num_2 = nums[j]
num_3 = sub_target - num_2
k = lookup.get(num_3) #
if k not in {None, i, j}: #don't reproduce itself
result = [num_1, num_2, num_3]
result.sort()
result = tuple(result)
triplets_set.add(result)

triplets = [list(t) for t in triplets_set]
return triplets


Run and get report




Your runtime beats 28.86 % of python3 submissions.




Could please give hints to improve?










share|improve this question







New contributor




Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$

















    1












    $begingroup$


    I use a dummy solution to solve 3Sum problem.



    that is employ set date type to handle duplicates then transform back list.




    Given an array nums of n integers, are there elements a, b in nums such that a + b = 9? Find all unique couples in the array which gives the sum of zero.



    Note:



    The solution set must not contain duplicate triplets.



    Example:



    Given array nums = [-1, 0, 1, 2, -1, -4],

    A solution set is:
    [
    [-1, 0, 1],
    [-1, -1, 2]
    ]



    My codes:



    from typing import List
    import logging
    import unittest
    import random
    from collections import defaultdict,Counter

    ##logging.disable(level=#logging.CRITICAL)
    ##logging.basicConfig(level=#logging.DEBUG, format="%(levelname)s %(message)s")

    class Solution:
    def threeSum(self, nums, target: int=0) -> List[List[int]]:
    """
    :type nums: List[int]
    :type target: int
    """
    if len(nums) < 3: return

    triplets =
    if target == [0, 0, 0]:
    triplets.append([0, 0, 0])
    return triplets # finish fast

    lookup = {nums[i]:i for i in range(len(nums))} #overwrite from the high
    if len(lookup) == 1:#assert one identical element
    keys = [k for k in lookup.keys()]
    if keys[0] != 0:
    return
    else:
    triplets.append([0,0,0])
    return triplets



    triplets_set = set()

    for i in range(len(nums)):
    num_1 = nums[i]
    sub_target = target - num_1
    # #logging.debug(f"level_1_lookup: {lookup}")

    for j in range(i+1, len(nums)):
    num_2 = nums[j]
    num_3 = sub_target - num_2
    k = lookup.get(num_3) #
    if k not in {None, i, j}: #don't reproduce itself
    result = [num_1, num_2, num_3]
    result.sort()
    result = tuple(result)
    triplets_set.add(result)

    triplets = [list(t) for t in triplets_set]
    return triplets


    Run and get report




    Your runtime beats 28.86 % of python3 submissions.




    Could please give hints to improve?










    share|improve this question







    New contributor




    Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      1












      1








      1





      $begingroup$


      I use a dummy solution to solve 3Sum problem.



      that is employ set date type to handle duplicates then transform back list.




      Given an array nums of n integers, are there elements a, b in nums such that a + b = 9? Find all unique couples in the array which gives the sum of zero.



      Note:



      The solution set must not contain duplicate triplets.



      Example:



      Given array nums = [-1, 0, 1, 2, -1, -4],

      A solution set is:
      [
      [-1, 0, 1],
      [-1, -1, 2]
      ]



      My codes:



      from typing import List
      import logging
      import unittest
      import random
      from collections import defaultdict,Counter

      ##logging.disable(level=#logging.CRITICAL)
      ##logging.basicConfig(level=#logging.DEBUG, format="%(levelname)s %(message)s")

      class Solution:
      def threeSum(self, nums, target: int=0) -> List[List[int]]:
      """
      :type nums: List[int]
      :type target: int
      """
      if len(nums) < 3: return

      triplets =
      if target == [0, 0, 0]:
      triplets.append([0, 0, 0])
      return triplets # finish fast

      lookup = {nums[i]:i for i in range(len(nums))} #overwrite from the high
      if len(lookup) == 1:#assert one identical element
      keys = [k for k in lookup.keys()]
      if keys[0] != 0:
      return
      else:
      triplets.append([0,0,0])
      return triplets



      triplets_set = set()

      for i in range(len(nums)):
      num_1 = nums[i]
      sub_target = target - num_1
      # #logging.debug(f"level_1_lookup: {lookup}")

      for j in range(i+1, len(nums)):
      num_2 = nums[j]
      num_3 = sub_target - num_2
      k = lookup.get(num_3) #
      if k not in {None, i, j}: #don't reproduce itself
      result = [num_1, num_2, num_3]
      result.sort()
      result = tuple(result)
      triplets_set.add(result)

      triplets = [list(t) for t in triplets_set]
      return triplets


      Run and get report




      Your runtime beats 28.86 % of python3 submissions.




      Could please give hints to improve?










      share|improve this question







      New contributor




      Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I use a dummy solution to solve 3Sum problem.



      that is employ set date type to handle duplicates then transform back list.




      Given an array nums of n integers, are there elements a, b in nums such that a + b = 9? Find all unique couples in the array which gives the sum of zero.



      Note:



      The solution set must not contain duplicate triplets.



      Example:



      Given array nums = [-1, 0, 1, 2, -1, -4],

      A solution set is:
      [
      [-1, 0, 1],
      [-1, -1, 2]
      ]



      My codes:



      from typing import List
      import logging
      import unittest
      import random
      from collections import defaultdict,Counter

      ##logging.disable(level=#logging.CRITICAL)
      ##logging.basicConfig(level=#logging.DEBUG, format="%(levelname)s %(message)s")

      class Solution:
      def threeSum(self, nums, target: int=0) -> List[List[int]]:
      """
      :type nums: List[int]
      :type target: int
      """
      if len(nums) < 3: return

      triplets =
      if target == [0, 0, 0]:
      triplets.append([0, 0, 0])
      return triplets # finish fast

      lookup = {nums[i]:i for i in range(len(nums))} #overwrite from the high
      if len(lookup) == 1:#assert one identical element
      keys = [k for k in lookup.keys()]
      if keys[0] != 0:
      return
      else:
      triplets.append([0,0,0])
      return triplets



      triplets_set = set()

      for i in range(len(nums)):
      num_1 = nums[i]
      sub_target = target - num_1
      # #logging.debug(f"level_1_lookup: {lookup}")

      for j in range(i+1, len(nums)):
      num_2 = nums[j]
      num_3 = sub_target - num_2
      k = lookup.get(num_3) #
      if k not in {None, i, j}: #don't reproduce itself
      result = [num_1, num_2, num_3]
      result.sort()
      result = tuple(result)
      triplets_set.add(result)

      triplets = [list(t) for t in triplets_set]
      return triplets


      Run and get report




      Your runtime beats 28.86 % of python3 submissions.




      Could please give hints to improve?







      python algorithm






      share|improve this question







      New contributor




      Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 29 mins ago









      AliceAlice

      1764




      1764




      New contributor




      Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.





      New contributor





      Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Alice is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






















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