chore: import upstream snapshot with attribution
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@@ -0,0 +1,230 @@
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"""
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Diff tools for file editing
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Provides fuzzy matching and diff generation functionality
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"""
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import difflib
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import re
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from typing import Optional, Tuple
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def strip_bom(text: str) -> Tuple[str, str]:
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"""
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Remove BOM (Byte Order Mark)
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:param text: Original text
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:return: (BOM, text after removing BOM)
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"""
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if text.startswith('\ufeff'):
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return '\ufeff', text[1:]
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return '', text
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def detect_line_ending(text: str) -> str:
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"""
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Detect line ending type
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:param text: Text content
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:return: Line ending type ('\r\n' or '\n')
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"""
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if '\r\n' in text:
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return '\r\n'
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return '\n'
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def normalize_to_lf(text: str) -> str:
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"""
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Normalize all line endings to LF (\n)
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:param text: Original text
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:return: Normalized text
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"""
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return text.replace('\r\n', '\n').replace('\r', '\n')
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def restore_line_endings(text: str, original_ending: str) -> str:
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"""
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Restore original line endings
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:param text: LF normalized text
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:param original_ending: Original line ending
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:return: Text with restored line endings
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"""
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if original_ending == '\r\n':
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return text.replace('\n', '\r\n')
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return text
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def normalize_for_fuzzy_match(text: str) -> str:
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"""
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Normalize text for fuzzy matching
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Remove excess whitespace but preserve basic structure
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:param text: Original text
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:return: Normalized text
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"""
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# Compress multiple spaces to one
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text = re.sub(r'[ \t]+', ' ', text)
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# Remove trailing spaces
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text = re.sub(r' +\n', '\n', text)
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# Remove leading spaces (but preserve indentation structure, only remove excess)
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lines = text.split('\n')
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normalized_lines = []
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for line in lines:
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# Preserve indentation but normalize to multiples of single spaces
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stripped = line.lstrip()
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if stripped:
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indent_count = len(line) - len(stripped)
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# Normalize indentation (convert tabs to spaces)
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normalized_indent = ' ' * indent_count
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normalized_lines.append(normalized_indent + stripped)
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else:
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normalized_lines.append('')
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return '\n'.join(normalized_lines)
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class FuzzyMatchResult:
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"""Fuzzy match result"""
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def __init__(self, found: bool, index: int = -1, match_length: int = 0, content_for_replacement: str = ""):
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self.found = found
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self.index = index
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self.match_length = match_length
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self.content_for_replacement = content_for_replacement
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def _build_fuzzy_pattern(old_text: str) -> Optional[str]:
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"""
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Build the whitespace-flexible regex used to locate ``old_text`` fuzzily.
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Returns ``None`` when ``old_text`` has no non-whitespace content to match.
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This is the single source of truth for fuzzy matching, so that *finding* a
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match (:func:`fuzzy_find_text`) and *counting* occurrences
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(:func:`count_matches`) always use the exact same rules.
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"""
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stripped = old_text.strip('\n')
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if not stripped.strip():
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return None
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source_lines = stripped.split('\n')
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line_patterns = []
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for i, line in enumerate(source_lines):
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tokens = line.split()
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if not tokens:
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line_patterns.append(r'[ \t]*')
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continue
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# Tolerate any run of blanks between tokens.
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core = r'[ \t]+'.join(re.escape(tok) for tok in tokens)
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# First-line leading whitespace is folded into the match only when
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# old_text itself was indented here; otherwise it stays OUTSIDE the
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# match so a no-indent old_text preserves (does not swallow and drop)
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# the file's existing indentation -- mirroring an exact substring
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# match. Inner lines always tolerate indentation: it sits inside the
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# matched region and is re-supplied by new_text.
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if i > 0 or line[:1] in (' ', '\t'):
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core = r'[ \t]*' + core
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line_patterns.append(core + r'[ \t]*')
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return '\n'.join(line_patterns)
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def fuzzy_find_text(content: str, old_text: str) -> FuzzyMatchResult:
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"""
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Find text in content, try exact match first, then fuzzy match
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:param content: Content to search in
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:param old_text: Text to find
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:return: Match result
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"""
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# First try exact match
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index = content.find(old_text)
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if index != -1:
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return FuzzyMatchResult(
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found=True,
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index=index,
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match_length=len(old_text),
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content_for_replacement=content
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)
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# Fuzzy match: the exact substring was not found, most likely because the
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# whitespace differs (indentation, spaces around operators, trailing
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# spaces). Locate the region in the ORIGINAL content using a
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# whitespace-flexible pattern and return offsets into that original
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# content.
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#
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# This must NOT replace inside a whitespace-normalized copy of the file:
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# doing so previously returned the normalized copy as
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# content_for_replacement, which caused the whole file to be rewritten
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# with collapsed indentation (every untouched line got reformatted).
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pattern = _build_fuzzy_pattern(old_text)
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if pattern is not None:
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match = re.search(pattern, content)
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if match:
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return FuzzyMatchResult(
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found=True,
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index=match.start(),
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match_length=match.end() - match.start(),
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content_for_replacement=content
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)
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# Not found
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return FuzzyMatchResult(found=False)
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def count_matches(content: str, old_text: str) -> int:
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"""
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Count occurrences of ``old_text`` using the SAME strategy as
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:func:`fuzzy_find_text`: an exact substring when one is present, otherwise
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the whitespace-flexible fuzzy regex.
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The edit tool's uniqueness guard must agree with the matcher that actually
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performs the replacement. Counting through a separate normalization pass
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(the previous approach) could disagree with the regex used to locate and
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replace, so both paths now share :func:`_build_fuzzy_pattern`.
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"""
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if not old_text:
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return 0
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# Mirror fuzzy_find_text: prefer exact matching when it applies.
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if content.find(old_text) != -1:
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return content.count(old_text)
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pattern = _build_fuzzy_pattern(old_text)
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if pattern is None:
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return 0
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return len(re.findall(pattern, content))
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def generate_diff_string(old_content: str, new_content: str) -> dict:
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"""
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Generate unified diff string
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:param old_content: Old content
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:param new_content: New content
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:return: Dictionary containing diff and first changed line number
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"""
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old_lines = old_content.split('\n')
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new_lines = new_content.split('\n')
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# Generate unified diff
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diff_lines = list(difflib.unified_diff(
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old_lines,
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new_lines,
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lineterm='',
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fromfile='original',
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tofile='modified'
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))
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# Find first changed line number
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first_changed_line = None
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for line in diff_lines:
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if line.startswith('@@'):
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# Parse @@ -1,3 +1,3 @@ format
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match = re.search(r'@@ -\d+,?\d* \+(\d+)', line)
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if match:
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first_changed_line = int(match.group(1))
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break
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diff_string = '\n'.join(diff_lines)
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return {
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'diff': diff_string,
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'first_changed_line': first_changed_line
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}
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