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Copy pathDegree of an Array.py
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Degree of an Array.py
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'''
Given a non-empty array of non-negative integers nums, the degree of this array is defined as the maximum frequency of any one of its elements.
Your task is to find the smallest possible length of a (contiguous) subarray of nums, that has the same degree as nums.
Example 1:
Input: [1, 2, 2, 3, 1]
Output: 2
Explanation:
The input array has a degree of 2 because both elements 1 and 2 appear twice.
Of the subarrays that have the same degree:
[1, 2, 2, 3, 1], [1, 2, 2, 3], [2, 2, 3, 1], [1, 2, 2], [2, 2, 3], [2, 2]
The shortest length is 2. So return 2.
Example 2:
Input: [1,2,2,3,1,4,2]
Output: 6
Note:
nums.length will be between 1 and 50,000.
nums[i] will be an integer between 0 and 49,999.
'''
class Solution(object):
def findShortestSubArray(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
left_idx = {}
right_idx = {}
frequency = {}
res = []
top_frequency = -1
for i in xrange(len(nums)):
if nums[i] not in left_idx:
left_idx[nums[i]] = i
right_idx[nums[i]] = i
if nums[i] not in frequency:
frequency[nums[i]] = 1
else:
frequency[nums[i]] += 1
if frequency[nums[i]] > top_frequency:
res = [nums[i]]
top_frequency = frequency[nums[i]]
elif frequency[nums[i]] == top_frequency:
res.append(nums[i])
ans = float('inf')
for r in res:
ans = min(ans, right_idx[r] - left_idx[r] + 1)
return ans