-
-
Notifications
You must be signed in to change notification settings - Fork 50.5k
Expand file tree
/
Copy pathfind_triplets_with_0_sum.py
More file actions
139 lines (109 loc) · 4.13 KB
/
find_triplets_with_0_sum.py
File metadata and controls
139 lines (109 loc) · 4.13 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
from itertools import combinations
def find_triplets_with_0_sum(nums: list[int]) -> list[list[int]]:
"""
Given a list of integers, return elements a, b, c such that a + b + c = 0.
Args:
nums: list of integers
Returns:
list of lists of integers where sum(each_list) == 0
Examples:
>>> find_triplets_with_0_sum([-1, 0, 1, 2, -1, -4])
[[-1, -1, 2], [-1, 0, 1]]
>>> find_triplets_with_0_sum([])
[]
>>> find_triplets_with_0_sum([0, 0, 0])
[[0, 0, 0]]
>>> find_triplets_with_0_sum([1, 2, 3, 0, -1, -2, -3])
[[-3, 0, 3], [-3, 1, 2], [-2, -1, 3], [-2, 0, 2], [-1, 0, 1]]
"""
return [
list(x)
for x in sorted({abc for abc in combinations(sorted(nums), 3) if not sum(abc)})
]
def find_triplets_with_0_sum_hashing(arr: list[int]) -> list[list[int]]:
"""
Function for finding the triplets with a given sum in the array using hashing.
Given a list of integers, return elements a, b, c such that a + b + c = 0.
Args:
nums: list of integers
Returns:
list of lists of integers where sum(each_list) == 0
Examples:
>>> find_triplets_with_0_sum_hashing([-1, 0, 1, 2, -1, -4])
[[-1, 0, 1], [-1, -1, 2]]
>>> find_triplets_with_0_sum_hashing([])
[]
>>> find_triplets_with_0_sum_hashing([0, 0, 0])
[[0, 0, 0]]
>>> find_triplets_with_0_sum_hashing([1, 2, 3, 0, -1, -2, -3])
[[-1, 0, 1], [-3, 1, 2], [-2, 0, 2], [-2, -1, 3], [-3, 0, 3]]
Time complexity: O(N^2)
Auxiliary Space: O(N)
"""
target_sum = 0
# Initialize the final output array with blank.
output_arr = []
# Set the initial element as arr[i].
for index, item in enumerate(arr[:-2]):
# to store second elements that can complement the final sum.
set_initialize = set()
# current sum needed for reaching the target sum
current_sum = target_sum - item
# Traverse the subarray arr[i+1:].
for other_item in arr[index + 1 :]:
# required value for the second element
required_value = current_sum - other_item
# Verify if the desired value exists in the set.
if required_value in set_initialize:
# finding triplet elements combination.
combination_array = sorted([item, other_item, required_value])
if combination_array not in output_arr:
output_arr.append(combination_array)
# Include the current element in the set
# for subsequent complement verification.
set_initialize.add(other_item)
# Return all the triplet combinations.
return output_arr
def find_triplets_with_0_sum_two_pointers(nums: list[int]) -> list[list[int]]:
"""
Finds all unique triplets in the array which gives the sum of zero
using the two-pointer technique.
Args:
nums: list of integers
Returns:
list of lists of integers where sum(each_list) == 0
Examples:
>>> find_triplets_with_0_sum_two_pointers([-1, 0, 1, 2, -1, -4])
[[-1, -1, 2], [-1, 0, 1]]
>>> find_triplets_with_0_sum_two_pointers([])
[]
>>> find_triplets_with_0_sum_two_pointers([0, 0, 0, 0])
[[0, 0, 0]]
Time Complexity: O(N^2)
Auxiliary Space: O(1) (excluding output)
"""
nums.sort()
result = []
n = len(nums)
for i in range(n - 2):
if i > 0 and nums[i] == nums[i - 1]:
continue
left, right = i + 1, n - 1
while left < right:
total = nums[i] + nums[left] + nums[right]
if total == 0:
result.append([nums[i], nums[left], nums[right]])
left += 1
right -= 1
while left < right and nums[left] == nums[left - 1]:
left += 1
while left < right and nums[right] == nums[right + 1]:
right -= 1
elif total < 0:
left += 1
else:
right -= 1
return result
if __name__ == "__main__":
from doctest import testmod
testmod()