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33.py
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'''
Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand.
(i.e., [0,1,2,4,5,6,7] might become [4,5,6,7,0,1,2]).
You are given a target value to search. If found in the array return its index, otherwise return -1.
You may assume no duplicate exists in the array.
Your algorithm's runtime complexity must be in the order of O(log n).
'''
classSolution(object):
defsearch(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
ifnotnums:
return-1
left, right=0, len(nums) -1
whileleft<=right:
mid= (left+right) /2
ifnums[mid] ==target:
returnmid
ifnums[left] <=nums[mid]:
iftarget>=nums[left] andtarget<=nums[mid]:
right=mid-1
else:
left=mid+1
else:
iftarget>=nums[mid] andtarget<=nums[right]:
left=mid+1
else:
right=mid-1
return-1
classSolution(object):
defsearch(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
defsearchRecursive(nums, left, right, target):
ifleft>right:
return-1
mid= (left+right) /2
ifnums[mid] ==target:
returnmid
ifnums[left] <=nums[mid]:
ifnums[left] <=target<nums[mid]:
returnsearchRecursive(nums, left, mid-1, target)
else:
returnsearchRecursive(nums, mid+1, right, target)
else:
ifnums[mid] <target<=nums[right]:
returnsearchRecursive(nums, mid+1, right, target)
else:
returnsearchRecursive(nums, left, mid-1, target)
returnsearchRecursive(nums, 0, len(nums)-1, target)