Given two arrays, write a function to compute their intersection.
Example:
Given nums1 = [1, 2, 2, 1]
, nums2 = [2, 2]
, return [2, 2]
.
Note:
- Each element in the result should appear as many times as it shows in both arrays.
- The result can be in any order.
Follow up:
- What if the given array is already sorted? How would you optimize your algorithm?
- What if nums1's size is small compared to nums2's size? Which algorithm is better?
- What if elements of nums2 are stored on disk, and the memory is limited such that you cannot load all elements into the memory at once?
class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
# use sort, or set(Counter)
ans = []
cnt = collections.Counter(nums1)
for n in nums2:
if n in cnt and cnt[n] > 0:
cnt[n] -= 1
ans.append(n)
return ans
可以更精简些:
from collections import Counter
class Solution(object):
def intersect(self, nums1, nums2):
c1, c2 = Counter(nums1), Counter(nums2)
return sum([[num] * min(c1[num], c2[num]) for num in c1 & c2], [])
自己写的话:
class Solution(object):
def intersect(self, nums1, nums2):
counts = {}
res = []
for num in nums1:
counts[num] = counts.get(num, 0) + 1
for num in nums2:
if num in counts and counts[num] > 0:
res.append(num)
counts[num] -= 1
return res
注意:
class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
# use sort, or set(Counter)
return list(set(nums1) & set(nums2))是不可以的,因为set里是没有重复数据的:
Input: [1,2,2,1] [2,2]
Output: [2]
Expected: [2,2]
另外就是使用sort,归并思路:
class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
# use sort, or set(Counter)
nums1.sort()
nums2.sort()
i = j = 0
ans = []
l1, l2 = len(nums1), len(nums2)
while i < l1 and j < l2:
if nums1[i] == nums2[j]:
ans.append(nums1[i])
i += 1
j += 1
elif nums1[i] < nums2[j]:
i += 1
else:
j += 1
return ans
还有使用binsearch来避免归并思路的。
标签:Arrays,Counter,List,Two,II,int,num,nums1,nums2 From: https://blog.51cto.com/u_11908275/6381006