from __future__ import annotations from typing import Any, Callable, Iterable, NewType, Optional, Protocol, TypeVar try: from typing import _TypingBase # type: ignore[attr-defined] except ImportError: from typing import _Final as _TypingBase # type: ignore[attr-defined] typing_base = _TypingBase _T = TypeVar("_T") class Comparable(Protocol): def __lt__(self: _T, __other: _T) -> bool: ... ComparableT = TypeVar("ComparableT", bound=Comparable) def sorter(arr: list[ComparableT]) -> list[ComparableT]: for i in range(len(arr)): for j in range(len(arr) - 1): if arr[j] > arr[j + 1]: temp = arr[j] arr[j] = arr[j + 1] arr[j + 1] = temp return arr def sorter2(arr: list[ComparableT]) -> list[ComparableT]: n = len(arr) for i in range(n): swapped = False for j in range(n - i - 1): if arr[j] > arr[j + 1]: arr[j], arr[j + 1] = arr[j + 1], arr[j] swapped = True if not swapped: break return arr def sorter3(arr: list[ComparableT]) -> list[ComparableT]: arr.sort() return arr def is_valid_field_name(name: str) -> bool: return not name.startswith("_") def is_valid_field_name2(name: str) -> bool: return not (name and name[0] == "_") def is_self_type(tp: Any) -> bool: """Check if a given class is a Self type (from `typing` or `typing_extensions`)""" return isinstance(tp, typing_base) and getattr(tp, "_name", None) == "Self" def is_self_type2(tp: Any) -> bool: """Check if a given class is a Self type (from `typing` or `typing_extensions`)""" if not isinstance(tp, _TypingBase): return False return tp._name == "Self" if hasattr(tp, "_name") else False test_new_type = NewType("test_new_type", str) def is_new_type(type_: type[Any]) -> bool: """Check whether type_ was created using typing.NewType. Can't use isinstance because it fails <3.10. """ return isinstance(type_, test_new_type.__class__) and hasattr(type_, "__supertype__") # type: ignore[arg-type] def is_new_type2(type_: type[Any]) -> bool: """Check whether type_ was created using typing.NewType. Can't use isinstance because it fails <3.10. """ return type(type_) is type(test_new_type) and hasattr(type_, "__supertype__") def _to_str( size: int, suffixes: Iterable[str], base: int, *, precision: Optional[int] = 1, separator: Optional[str] = " ", ) -> str: if size == 1: return "1 byte" elif size < base: return f"{size:,} bytes" for i, suffix in enumerate(suffixes, 2): # noqa: B007 unit = base**i if size < unit: break return "{:,.{precision}f}{separator}{}".format( (base * size / unit), suffix, precision=precision, separator=separator, ) # Given: (size=-1, suffixes=(), base=-1, precision=0, separator=None), # code_to_optimize.bubble_sort_typed._to_str : raises UnboundLocalError("cannot access local variable 'unit' where it is not associated with a value") # code_to_optimize.bubble_sort_typed._to_str2 : raises IndexError() def _to_str2( size: int, suffixes: Iterable[str], base: int, *, precision: Optional[int] = 1, separator: Optional[str] = " ", ) -> str: if size == 1: return "1 byte" elif size < base: return f"{size:,} bytes" unit = base for suffix in suffixes: unit *= base if size < unit: return f"{size / (unit / base):,.{precision}f}{separator}{suffix}" # Extra condition if size exceeds the largest unit return f"{size / (unit / base):,.{precision}f}{separator}{suffixes[-1]}" def find_common_tags(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = articles[0]["tags"] for article in articles[1:]: common_tags = [tag for tag in common_tags if tag in article["tags"]] return set(common_tags) # crosshair diffbehavior --max_uninteresting_iterations 64 code_to_optimize.bubble_sort_typed.find_common_tags code_to_optimize.bubble_sort_typed.find_common_tags2 # Given: (articles=[{'tags': ['', '']}, {'tags': ['', '']}, {'tags': []}, {}]), # code_to_optimize.bubble_sort_typed.find_common_tags : returns set() # code_to_optimize.bubble_sort_typed.find_common_tags2 : raises KeyError() def find_common_tags2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: common_tags.intersection_update(article["tags"]) return common_tags # Given: (articles=[{'\x00\x00\x00\x00': [], 'tags': ['']}, {'\x00\x00\x00\x00': [], 'tags': ['']}, {'\x00\x00\x00\x00': [], 'tags': ['']}, {'tags': ['']}, {}, {'\x00\x00\x00\x00': [], 'tags': ['']}, {}]), # code_to_optimize.bubble_sort_typed.find_common_tags : raises KeyError() # code_to_optimize.bubble_sort_typed.find_common_tags2_1 : returns set() def find_common_tags2_1(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0].get("tags", [])) for article in articles[1:]: common_tags.intersection_update(article.get("tags", [])) return common_tags # % crosshair diffbehavior --max_uninteresting_iterations 64 code_to_optimize.bubble_sort_typed.find_common_tags code_to_optimize.bubble_sort_typed.find_common_tags2_2 # Given: (articles=[{'\x00\x00\x00\x00': [''], 'tags': ['']}, {'\x00\x00\x00\x00': [''], 'tags': ['']}, {'\x00\x00\x00\x00': [], 'tags': ['']}, {'\x00\x00\x00\x00': [], '': []}, {'\x00\x00\x00\x00': [], 'tags': ['']}]), # code_to_optimize.bubble_sort_typed.find_common_tags : raises KeyError() # code_to_optimize.bubble_sort_typed.find_common_tags2_2 : returns set() # (codeflash312) renaud@Renauds-Laptop codeflash % def find_common_tags2_2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: if not common_tags: break common_tags.intersection_update(article["tags"]) return common_tags # % crosshair diffbehavior --max_uninteresting_iterations 128 code_to_optimize.bubble_sort_typed.find_common_tags code_to_optimize.bubble_sort_typed.find_common_tags2_3 # Given: (articles=[{'tags': ['', '']}, {'tags': ['', '']}, {'tags': []}, {}]), # code_to_optimize.bubble_sort_typed.find_common_tags : returns set() # code_to_optimize.bubble_sort_typed.find_common_tags2_3 : raises KeyError() # Given: (articles=[{'\x00\x00\x00\x00': [], 'tags': []}, {'\x00\x00\x00\x00': [], 'tags': []}, {'\x00\x00\x00\x00': [], 'tags': []}, {'\x00\x00\x00\x00': []}, {}, {}]), # code_to_optimize.bubble_sort_typed.find_common_tags : returns set() # code_to_optimize.bubble_sort_typed.find_common_tags2_3 : raises KeyError() def find_common_tags2_3(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: article_tags = article["tags"] # Access 'tags' key to match KeyError behavior if not common_tags: continue # Skip intersection but maintain KeyError on missing 'tags' common_tags.intersection_update(article_tags) return common_tags def find_common_tags2_4(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: if common_tags: article_tags = article["tags"] # Access 'tags' only if common_tags is not empty common_tags.intersection_update(article_tags) else: # Do not access article["tags"]; no KeyError is raised pass return common_tags def find_common_tags2_5(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() # Initialize with the first article's tags, defaulting to an empty list if "tags" is missing common_tags = set(articles[0].get("tags", [])) for article in articles[1:]: # Use .get("tags", []) to safely access tags, defaulting to an empty list if missing common_tags.intersection_update(article.get("tags", [])) # Early exit if there are no common tags left if not common_tags: break return common_tags def find_common_tags2_6(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() # Initialize with the first article's tags common_tags = set(articles[0]["tags"]) # Raises KeyError if "tags" is missing for article in articles[1:]: # Directly access "tags", maintaining behavior common_tags.intersection_update(article["tags"]) # Early exit if no common tags remain if not common_tags: break return common_tags def find_common_tags2_7(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() # Initialize with the first article's tags (raises KeyError if "tags" is missing) common_tags = set(articles[0]["tags"]) for article in articles[1:]: if not common_tags: # If no common tags remain, no need to process further break # Access "tags" directly, maintaining original behavior (raises KeyError if missing) common_tags.intersection_update(article["tags"]) return common_tags def find_common_tags2_8(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() # Initialize with the first article's tags (raises KeyError if "tags" is missing) try: common_tags = set(articles[0]["tags"]) except KeyError: raise KeyError("The first article is missing the 'tags' key.") for index, article in enumerate(articles[1:], start=2): try: tags = article["tags"] except KeyError: raise KeyError(f"Article at position {index} is missing the 'tags' key.") # Perform intersection with the current article's tags common_tags.intersection_update(tags) return common_tags def find_common_tags2_9(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() # Initialize with the first article's tags (raises KeyError if "tags" is missing) common_tags = set(articles[0]["tags"]) for article in articles[1:]: if not common_tags: # If no common tags remain, no need to process further break # Directly access "tags", allowing KeyError to propagate naturally common_tags.intersection_update(article["tags"]) return common_tags # crosshair diffbehavior --max_uninteresting_iterations 64 code_to_optimize.bubble_sort_typed.find_common_tags code_to_optimize.bubble_sort_typed.find_common_tags3 # Given: (articles=[{'tags': ['', '', '', '']}, {'tags': ['', '', '', '']}, {'tags': ['', '', '']}, {'tags': ['', '', '', '']}, {'tags': ['', '', '']}, {}]), # code_to_optimize.bubble_sort_typed.find_common_tags : raises KeyError() # code_to_optimize.bubble_sort_typed.find_common_tags3 : returns set() # Given: (articles=[{'\x00\x00\x00\x00': ['', ''], 'tags': [], '': []}, {}, {'\x00\x00\x00\x00': ['', ''], '': []}, {'': []}, {'\x00\x00\x00\x00': ['', ''], 'tags': [], '': []}]), # code_to_optimize.bubble_sort_typed.find_common_tags : returns set() # code_to_optimize.bubble_sort_typed.find_common_tags3 : raises KeyError() def find_common_tags3(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: common_tags.intersection_update(article["tags"]) if not common_tags: break return common_tags # % crosshair diffbehavior --max_uninteresting_iterations 64 code_to_optimize.bubble_sort_typed.find_common_tags code_to_optimize.bubble_sort_typed.find_common_tags4 # Given: (articles=[{'\x00\x00\x00\x00': ['', ''], 'tags': [], '': []}, {}, {'\x00\x00\x00\x00': ['', ''], '': []}, {'': []}, {'\x00\x00\x00\x00': ['', ''], 'tags': [], '': []}]), # code_to_optimize.bubble_sort_typed.find_common_tags : returns set() # code_to_optimize.bubble_sort_typed.find_common_tags4 : raises KeyError() def find_common_tags4(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: common_tags &= set(article["tags"]) if not common_tags: # Early exit if no common tags. break return common_tags def with_pattern(pattern: str, regex_group_count: int | None = None) -> Callable: def decorator(func: Callable) -> Callable: func.pattern = pattern func.regex_group_count = regex_group_count return func return decorator def with_pattern2(pattern: str, regex_group_count: int | None = None) -> Callable: return ( lambda func: setattr(func, "pattern", pattern) or setattr(func, "regex_group_count", regex_group_count) or func ) """ We have this original code: ``` def find_common_tags(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = articles[0]["tags"] for article in articles[1:]: common_tags = [tag for tag in common_tags if tag in article["tags"]] return set(common_tags) ``` We generated optimized code: ``` def find_common_tags2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: common_tags.intersection_update(article["tags"]) return common_tags ``` When analyzed the optimized code for correctness with Concolic Testing (using CrossHair DiffBehavior), we found the following counter-example: ``` crosshair diffbehavior --max_uninteresting_iterations 64 code_to_optimize.bubble_sort_typed.find_common_tags code_to_optimize.bubble_sort_typed.find_common_tags2 Given: (articles=[{'tags': ['', '']}, {'tags': ['', '']}, {'tags': []}, {}]), code_to_optimize.bubble_sort_typed.find_common_tags : returns set() code_to_optimize.bubble_sort_typed.find_common_tags2 : raises KeyError() ``` Fix find_common_tags2 for correctness relative to find_common_tags, making sure it is still optimized for speed. """ """ To fix the `KeyError` in `find_common_tags2` and ensure it behaves like the original `find_common_tags`, we'll modify the code to handle cases where the `'tags'` key might be missing in some articles. In the original code, it seems that articles might not always have the `'tags'` key, and in such cases, the code should default to an empty list. Here's the corrected and optimized version: ```python def find_common_tags2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0].get("tags", [])) for article in articles[1:]: common_tags.intersection_update(article.get("tags", [])) return common_tags ``` **Explanation:** - **Use `get` with a default value:** - We replaced `article["tags"]` with `article.get("tags", [])`. This ensures that if the `'tags'` key is missing, it defaults to an empty list instead of raising a `KeyError`. - **Initialize `common_tags` properly:** - We initialize `common_tags` with `set(articles[0].get("tags", []))` to handle cases where the first article might not have `'tags'`. - **Maintain Performance Optimization:** - By using `set` operations, we keep the optimized performance of the function while ensuring correctness. This change ensures that the function doesn't raise a `KeyError` when an article is missing the `'tags'` key, and it behaves identically to the original function for all inputs. """ """We have this original code: ``` def find_common_tags(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = articles[0]["tags"] for article in articles[1:]: common_tags = [tag for tag in common_tags if tag in article["tags"]] return set(common_tags) ``` We generated optimized code: ``` def find_common_tags2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: common_tags.intersection_update(article["tags"]) return common_tags ``` When analyzed the optimized code for correctness with Concolic Testing (using CrossHair DiffBehavior), we found the following counter-example: ``` crosshair diffbehavior --max_uninteresting_iterations 64 code_to_optimize.bubble_sort_typed.find_common_tags code_to_optimize.bubble_sort_typed.find_common_tags2 Given: (articles=[{'tags': ['', '']}, {'tags': ['', '']}, {'tags': []}, {}]), code_to_optimize.bubble_sort_typed.find_common_tags : returns set() code_to_optimize.bubble_sort_typed.find_common_tags2 : raises KeyError() ``` We attempted to fix this with the following candidate: ```python def find_common_tags2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0].get("tags", [])) for article in articles[1:]: common_tags.intersection_update(article.get("tags", [])) return common_tags ``` When analyzing the optimized code for correctness with Concolic Testing (using CrossHair DiffBehavior), we found a different counter-example: ``` Given: (articles=[{'\x00\x00\x00\x00': [], 'tags': ['']}, {'\x00\x00\x00\x00': [], 'tags': ['']}, {'\x00\x00\x00\x00': [], 'tags': ['']}, {'tags': ['']}, {}, {'\x00\x00\x00\x00': [], 'tags': ['']}, {}]),      code_to_optimize.bubble_sort_typed.find_common_tags : raises KeyError()   code_to_optimize.bubble_sort_typed.find_common_tags2_1 : returns set() ``` Fix find_common_tags2_1 for correctness relative to find_common_tags, making sure it is still optimized for speed. """ """To fix `find_common_tags2_1` and ensure it behaves identically to `find_common_tags`, we need to address the discrepancy in how the two functions handle the absence of the `'tags'` key and when `common_tags` becomes empty. **Issue Analysis:** 1. **KeyError Discrepancy:** - The original function raises a `KeyError` when accessing `article["tags"]` if the `'tags'` key is missing. - Our optimized version used `article.get("tags", [])`, which avoids the `KeyError`, leading to different behavior. 2. **Empty `common_tags`:** - In the original function, if `common_tags` becomes empty, the list comprehension doesn't access `article["tags"]`, preventing a `KeyError`. - In the optimized version, `intersection_update` still accesses `article["tags"]` even if `common_tags` is empty, leading to unnecessary `KeyError`s. **Solution:** - **Mimic Original Exception Behavior:** - We should ensure that `find_common_tags2` raises a `KeyError` in the same situations as `find_common_tags`. - Avoid accessing `article["tags"]` when `common_tags` is empty, just like the original function. - **Optimize by Early Exit:** - If `common_tags` becomes empty, further intersections won't change it. - We can break out of the loop early, improving performance. **Corrected and Optimized Version:** ```python def find_common_tags2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: if not common_tags: break # No need to continue if common_tags is empty common_tags.intersection_update(article["tags"]) return common_tags ``` **Explanation:** - **Accessing `article["tags"]`:** - We use `article["tags"]` instead of `article.get("tags", [])` to ensure a `KeyError` is raised if `'tags'` is missing, matching the original function's behavior. - **Early Exit on Empty `common_tags`:** - The `if not common_tags: break` statement checks if `common_tags` is empty. - If it is empty, we break out of the loop, avoiding unnecessary accesses to `article["tags"]` that could raise a `KeyError`. - **Performance Optimization:** - By breaking early when `common_tags` is empty, we prevent further iterations and accesses. - Using `set` operations with `intersection_update` retains the performance benefits. **Validation with Counter-Examples:** - **First Counter-Example:** - With `articles=[{'tags': ['', '']}, {'tags': ['', '']}, {'tags': []}, {}]`, the original function returns `set()` without raising `KeyError`. - Our corrected `find_common_tags2` also returns `set()` without raising `KeyError` because it avoids accessing `article["tags"]` when `common_tags` is empty. - **Second Counter-Example:** - With an input where an article lacks `'tags'` and `common_tags` is not empty, the original function raises `KeyError`. - Our corrected `find_common_tags2` also raises `KeyError` in this situation, matching the original function's behavior. **Conclusion:** This corrected version ensures that `find_common_tags2` behaves identically to `find_common_tags` in all cases, raising `KeyError` when the original function does, and avoiding it otherwise. It also maintains the performance optimizations by using set operations and early loop exit. **Final Optimized Code:** ```python def find_common_tags2(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = set(articles[0]["tags"]) for article in articles[1:]: if not common_tags: break common_tags.intersection_update(article["tags"]) return common_tags ```"""