Problem solution · Python

ABC324 C — Error Correction

ABC324 C — Error Correction: a Python solution using sorting and greedy selection. Learn the idea, check the complexity, and read the full code, with credit to KATO-Hiro AtCoder Solutions.

Technique
Sorting and greedy selection
Source
KATO-Hiro AtCoder Solutions
Length
68 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Sorting and greedy selection

For ABC324 C — Error Correction, the implementation first exposes a useful order, then scans that order while making locally justified choices.

  1. Choose the key that reveals the greedy or grouping structure.
  2. Sort the relevant records by that key.
  3. Scan in order, maintaining the invariant that makes each local choice safe.

Code notes

  • 68 lines of Python from the credited upstream file abc324_c.py.
  • The implementation visibly relies on sequence storage, ordered lookup.
  • No explicit loop blocks detected.

Complexity

Sorting is typically the dominant term unless the subsequent scan uses a more expensive nested operation.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from KATO-Hiro AtCoder Solutions by KATO-Hiro and is used under the CC0-1.0 licence.

Full codeABC324 C — Error Correction · PythonPython
Use this to learn the idea, then write your own version.
# -*- coding: utf-8 -*-  def main():    import sys     input = sys.stdin.readline     n, t_dash = input().rstrip().split()    m = len(t_dash)    n = int(n)    ans = list()     for i in range(1, n + 1):        si = input().rstrip()        u = len(si)         if abs(u - m) > 2:            continue         if u == m:            count = 0             for ti, sij in zip(t_dash, si):                if ti != sij:                    count += 1             if count <= 1:                ans.append(i)        else:            if m > u:                pos = 0                 for x, (ti, sij) in enumerate(zip(t_dash, si)):                    if ti != sij:                        pos = x                        break                 if t_dash[pos + 1 :] == si[pos:]:                    ans.append(i)                elif t_dash[1:] == si:                    ans.append(i)                elif t_dash[:-1] == si:                    ans.append(i)            else:                pos = 0                 for x, (ti, sij) in enumerate(zip(t_dash, si)):                    if ti != sij:                        pos = x                        break                 if t_dash[pos:] == si[pos + 1 :]:                    ans.append(i)                elif t_dash == si[1:]:                    ans.append(i)                elif t_dash == si[:-1]:                    ans.append(i)     print(len(set(ans)))     if len(ans) > 0:        print(*sorted(set(ans)))  if __name__ == "__main__":    main() 

Did this explanation save you time? I'm a Grade 11 student building this free library to make difficult algorithms easier to understand.

Buy me a coffee ↗