Simplify Path
Problem Statement
Given a string path, which is an absolute path (starting with a slash ’/’) to a file or directory in a Unix-style file system, convert it to the simplified canonical path.
In a Unix-style file system, a period ’.’ refers to the current directory, a double period ’..’ refers to the directory up a level, and any multiple consecutive slashes (i.e. ’//’) are treated as a single slash ’/’. For this problem, any other format of periods such as ‘…‘ are treated as file/directory names.
The canonical path should have the following format:
- The path starts with a single slash ’/’.
- Any two directories are separated by a single slash ’/’.
- The path does not end with a trailing ’/’.
- The path only contains the directories on the path from the root directory to the target file or directory (i.e., no period ’.’ or double period ’..’)
Return the simplified canonical path.
Example 1:
Input: path = “/home/”
Output: “/home”
Explanation: Note that there is no trailing slash after the last directory name.
Example 2: Input: path = “/../”
Output: “/”
Explanation: Going one level up from the root directory is a no-op, as the root level is the highest level you can go.
Example 3: Input: path = “/home//foo/”
Output: “/home/foo”
Explanation: In the canonical path, multiple consecutive slashes are replaced by a single one.
Constraints:
- 1 <= path.length <= 3000
- path consists of English letters, digits, period ‘.’, slash ‘/’ or ‘_’.
- path is a valid absolute Unix path.
Approach
As per the constraints, the best way to solve the problem is by using Stacks. Here’s why,
Input - /a/b/c/../..
We add the directory names according to the rules in a stack
After adding b and c to the stack, we come across, .. which means go back to previous directory
So we remove the directory names by using pop() function on stack, which removes the last element added in the stack.
Solution
def simplifyPath(path):
stack = []
cur = ""
#reason for adding adding / in for loop is to
#take care of edge case where input does not end with /
for p in path + "/":
if p == "/":
if cur == "..":
if stack: stack.pop()
else:
stack.append(cur)
cur = ""
else:
cur+=p
return "/" + "/".join(stack)
Conclusion
Time and Space Complexity both are O(N) where N is length of the string.
Reason for that is there is one pass over the string and stack of maximum length N.
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