Length of longest non-repeating substring challenge using sliding window
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I am working on Leetcode challenge #3 (https://leetcode.com/problems/longest-substring-without-repeating-characters/)
Here is my solution using sliding window and a dictionary. I specifically added start = seen[s[i]]+1 to skip ahead. I am still told I am far slower than most people (for example, given abcdefgdabc, I am skipping abc when I see the second d. I thought this would save ton of time, but apparently this algorithm has a poor run time.
class Solution(object):
def lengthOfLongestSubstring(self, s):
"""
:type s: str
:rtype: int
"""
seen = {}
start = 0
max_size = 0
# check whether left pointer has reached the end yet
while start < len(s):
size = 0
for i in range(start, len(s)):
if s[i] in seen:
start = seen[s[i]]+1
seen = {}
break
else:
seen[s[i]] = i
size += 1
max_size = max(size, max_size)
return max_size
python algorithm
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add a comment |
$begingroup$
I am working on Leetcode challenge #3 (https://leetcode.com/problems/longest-substring-without-repeating-characters/)
Here is my solution using sliding window and a dictionary. I specifically added start = seen[s[i]]+1 to skip ahead. I am still told I am far slower than most people (for example, given abcdefgdabc, I am skipping abc when I see the second d. I thought this would save ton of time, but apparently this algorithm has a poor run time.
class Solution(object):
def lengthOfLongestSubstring(self, s):
"""
:type s: str
:rtype: int
"""
seen = {}
start = 0
max_size = 0
# check whether left pointer has reached the end yet
while start < len(s):
size = 0
for i in range(start, len(s)):
if s[i] in seen:
start = seen[s[i]]+1
seen = {}
break
else:
seen[s[i]] = i
size += 1
max_size = max(size, max_size)
return max_size
python algorithm
$endgroup$
add a comment |
$begingroup$
I am working on Leetcode challenge #3 (https://leetcode.com/problems/longest-substring-without-repeating-characters/)
Here is my solution using sliding window and a dictionary. I specifically added start = seen[s[i]]+1 to skip ahead. I am still told I am far slower than most people (for example, given abcdefgdabc, I am skipping abc when I see the second d. I thought this would save ton of time, but apparently this algorithm has a poor run time.
class Solution(object):
def lengthOfLongestSubstring(self, s):
"""
:type s: str
:rtype: int
"""
seen = {}
start = 0
max_size = 0
# check whether left pointer has reached the end yet
while start < len(s):
size = 0
for i in range(start, len(s)):
if s[i] in seen:
start = seen[s[i]]+1
seen = {}
break
else:
seen[s[i]] = i
size += 1
max_size = max(size, max_size)
return max_size
python algorithm
$endgroup$
I am working on Leetcode challenge #3 (https://leetcode.com/problems/longest-substring-without-repeating-characters/)
Here is my solution using sliding window and a dictionary. I specifically added start = seen[s[i]]+1 to skip ahead. I am still told I am far slower than most people (for example, given abcdefgdabc, I am skipping abc when I see the second d. I thought this would save ton of time, but apparently this algorithm has a poor run time.
class Solution(object):
def lengthOfLongestSubstring(self, s):
"""
:type s: str
:rtype: int
"""
seen = {}
start = 0
max_size = 0
# check whether left pointer has reached the end yet
while start < len(s):
size = 0
for i in range(start, len(s)):
if s[i] in seen:
start = seen[s[i]]+1
seen = {}
break
else:
seen[s[i]] = i
size += 1
max_size = max(size, max_size)
return max_size
python algorithm
python algorithm
edited 9 mins ago
CppLearner
asked 16 mins ago
CppLearnerCppLearner
247210
247210
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