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10 changes: 10 additions & 0 deletions buggy_remove_duplicates.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,10 @@
def remove_duplicates(lst):
seen = set()
result = []
for item in lst:
if item not in seen:
seen.add(item)
result.append(item)
return result # Bug fixed: preserves order
Comment on lines +1 to +8
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🛠️ Refactor suggestion

Document hashability contract; add a minimal docstring (and optional typing).

Current approach requires hashable elements; unhashables (e.g., lists, dicts) will raise TypeError. Make this explicit and improve IDE/help output.

Apply:

 def remove_duplicates(lst):
+    """
+    Return a new list with duplicates removed while preserving input order.
+    Note: Elements must be hashable (e.g., int, str, tuple).
+    """
     seen = set()
     result = []
     for item in lst:
         if item not in seen:
             seen.add(item)
             result.append(item)
     return result  # Bug fixed: preserves order

Optional one-liner (same hashability constraint, Python 3.7+ insertion-order dicts):

-    seen = set()
-    result = []
-    for item in lst:
-        if item not in seen:
-            seen.add(item)
-            result.append(item)
-    return result  # Bug fixed: preserves order
+    return list(dict.fromkeys(lst))
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def remove_duplicates(lst):
seen = set()
result = []
for item in lst:
if item not in seen:
seen.add(item)
result.append(item)
return result # Bug fixed: preserves order
def remove_duplicates(lst):
"""
Return a new list with duplicates removed while preserving input order.
Note: Elements must be hashable (e.g., int, str, tuple).
"""
seen = set()
result = []
for item in lst:
if item not in seen:
seen.add(item)
result.append(item)
return result # Bug fixed: preserves order
Suggested change
def remove_duplicates(lst):
seen = set()
result = []
for item in lst:
if item not in seen:
seen.add(item)
result.append(item)
return result # Bug fixed: preserves order
def remove_duplicates(lst):
return list(dict.fromkeys(lst))
Suggested change
def remove_duplicates(lst):
seen = set()
result = []
for item in lst:
if item not in seen:
seen.add(item)
result.append(item)
return result # Bug fixed: preserves order
def remove_duplicates(lst):
"""
Return a new list with duplicates removed while preserving input order.
Note: Elements must be hashable (e.g., int, str, tuple).
"""
return list(dict.fromkeys(lst))
🤖 Prompt for AI Agents
In buggy_remove_duplicates.py around lines 1 to 8, the function silently
requires hashable elements and will raise TypeError for unhashable inputs; add a
minimal docstring that states the function preserves order and requires hashable
items (or that unhashable items will raise TypeError), and update the signature
with optional typing (e.g., import typing and annotate the parameter and return
type with a TypeVar bound to Hashable or use Iterable[Any]/List[Any] if you
prefer); alternatively, if you want to support unhashables, implement a
fallback: try the current set-based approach and on TypeError use an O(n^2)
equality-based seen list (or use dict.fromkeys for Python 3.7+ where
appropriate).


print(remove_duplicates([3, 1, 4, 1, 5, 9, 2, 6, 5]))
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⚠️ Potential issue

Avoid module-level side effects; wrap demo under a main guard.

Printing on import will leak output in consumers/tests.

Apply:

-print(remove_duplicates([3, 1, 4, 1, 5, 9, 2, 6, 5]))
+if __name__ == "__main__":
+    print(remove_duplicates([3, 1, 4, 1, 5, 9, 2, 6, 5]))
🤖 Prompt for AI Agents
In buggy_remove_duplicates.py around line 10, there is a module-level print call
that executes on import; wrap the demo under a main guard to avoid side effects.
Move the demonstration code (the print of remove_duplicates(...)) into a
function (e.g., main()) or simply place it under if __name__ == "__main__": so
the example only runs when the file is executed as a script and not when
imported by tests or other modules.