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This approach involves iterating through each line of the source code while managing a flag to detect if we are currently in a block comment. As we parse each line, we handle three different states: whether we are inside a block comment, encountering a line comment, or processing regular code.
Time Complexity: O(n*m), where n is the number of lines and m is the average length of each line. Space Complexity: O(n*m), for the resulting list storage.
1def remove_comments(source):
2 in_block = False
3 newline = []
4 result = []
5 for line in source:
6 i = 0
7 if not in_block:
8 newline = []
9 while i < len(line):
10 if line[i:i+2] == '/*' and not in_block:
11 in_block = True
12 i += 1
13 elif line[i:i+2] == '*/' and in_block:
14 in_block = False
15 i += 1
16 elif line[i:i+2] == '//' and not in_block:
17 break
18 elif not in_block:
19 newline.append(line[i])
20 i += 1
21 if newline and not in_block:
22 result.append(''.join(newline))
23 return result
This code iterates over each line of the source code. It checks for the start '/*', end '*/' of block comments, and line comments '//'. It uses a flag in_block to monitor if current parsing is done inside a block comment. Characters are added to a temporary string newline unless part of a comment. Once parsing completes, it captures all the cleaned up code lines in the result list which it returns.
In this approach, two pointers are used. A pointer iterates through the string to seek comment delimiters ('//', '/*', '*/') while another manages the indices of the non-commented part of each line. It is effective in keeping track of multi-line parsing for block comments.
Time Complexity: O(n*m), where n is the number of lines and m is the average length of each line. Space Complexity: O(n*m), needed for result list and string manipulations.
1import java.util.*;
2
3
This Java solution uses two-pointers to iterate through the input lines. A StringBuilder is used to construct non-commented sections of the code as we iterate each line. By utilizing subnet comparisons, the approach efficiently detects comment starter and end patterns and processes the valid source code accordingly.