Skip to content

Conversation

@jj-devhub
Copy link
Owner

@jj-devhub jj-devhub commented Aug 29, 2025

This PR fixes the remove duplicates bug in buggy_remove_duplicates.py.

Summary by CodeRabbit

  • New Features
    • Added de-duplication for list-based results, removing repeated items while preserving original order.
    • Views and exports that previously showed repeated values now present each entry once, improving readability and clarity.
    • Deterministic behavior: the first occurrence is retained, later duplicates are omitted.
    • No configuration required; applies automatically where applicable.

@coderabbitai
Copy link

coderabbitai bot commented Aug 29, 2025

Walkthrough

Adds a new function remove_duplicates(lst) in a new file to return a list with duplicates removed while preserving input order. Implements a seen set and result list, iterates over input, and appends unseen items. Includes a top-level print demonstrating usage with a sample list.

Changes

Cohort / File(s) Summary
New utility function
buggy_remove_duplicates.py
Adds remove_duplicates(lst) that de-duplicates while preserving order using a set for tracking. Includes a top-level print example invoking the function.

Sequence Diagram(s)

sequenceDiagram
  autonumber
  actor Caller
  participant Func as remove_duplicates(lst)
  Caller->>Func: call with list [3,1,4,1,5,9,2,6,5]
  rect rgba(200,220,255,0.25)
    note over Func: Initialize seen = ∅, result = []
    loop for each item in lst
      alt item not in seen
        Func->>Func: add to seen and append to result
      else item already seen
        Func-->>Func: skip
      end
    end
  end
  Func-->>Caller: return result [3,1,4,5,9,2,6]
Loading

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Poem

I thump my paw on lines so neat,
Dups hop off—no extra seat!
A set of crumbs, a trail to track,
One of each, no looking back.
In lists I dance, order kept true—
Carrot-clean code, crisp and new. 🥕🐇

Tip

🔌 Remote MCP (Model Context Protocol) integration is now available!

Pro plan users can now connect to remote MCP servers from the Integrations page. Connect with popular remote MCPs such as Notion and Linear to add more context to your reviews and chats.

✨ Finishing Touches
  • 📝 Generate Docstrings
🧪 Generate unit tests
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch fix/buggy_remove_duplicates

🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.

Support

Need help? Create a ticket on our support page for assistance with any issues or questions.

CodeRabbit Commands (Invoked using PR/Issue comments)

Type @coderabbitai help to get the list of available commands.

Other keywords and placeholders

  • Add @coderabbitai ignore or @coderabbit ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Status, Documentation and Community

  • Visit our Status Page to check the current availability of CodeRabbit.
  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 2

🧹 Nitpick comments (2)
buggy_remove_duplicates.py (2)

1-8: Edge-case expectations: confirm desired behavior via tests.

  • 1, True, and 1.0 collapse to one value due to Python equality/hash.
  • NaN handling can be surprising.
    Please add tests to lock intended behavior.

I can draft a small pytest module covering: empty input, all-unique, heavy-duplication, mixed numeric types (1, True, 1.0), and NaN cases.


1-11: Rename file for clarity (optional).

Consider renaming buggy_remove_duplicates.py to remove_duplicates.py or placing the function in a shared utils module to reflect its fixed state.

📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

💡 Knowledge Base configuration:

  • MCP integration is disabled by default for public repositories
  • Jira integration is disabled by default for public repositories
  • Linear integration is disabled by default for public repositories

You can enable these sources in your CodeRabbit configuration.

📥 Commits

Reviewing files that changed from the base of the PR and between 8be3567 and 4a23426.

📒 Files selected for processing (1)
  • buggy_remove_duplicates.py (1 hunks)
🔇 Additional comments (1)
buggy_remove_duplicates.py (1)

1-8: LGTM: Correct, order-preserving dedupe in O(n).

Set + result list is the right fix and preserves first occurrence order.

Comment on lines +1 to +8
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
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

🛠️ 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).

result.append(item)
return result # Bug fixed: preserves order

print(remove_duplicates([3, 1, 4, 1, 5, 9, 2, 6, 5]))
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

⚠️ 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.

@jj-devhub jj-devhub marked this pull request as ready for review October 25, 2025 09:22
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

🔍 Automated PR Review

PR Title: Fix remove duplicates bug
Overall Quality Score: 6/10
Recommendation: REQUEST_CHANGES


🧠 Summary

The implementation correctly preserves order while removing duplicates from a list but lacks essential features such as input validation, documentation, and extensive testing. Improvements are needed to enhance production readiness.


⚠️ Critical Issues

  • Missing input validation: Function does not check for None or non-iterable types, which can lead to runtime errors.
  • No handling for unhashable items: The function raises TypeError when attempting to process unhashable types like lists or dictionaries.
  • No unit tests: The PR introduces a new function but lacks unit tests to ensure correctness across various cases.

✅ Key Suggestions

  1. Add comprehensive input validation to check for None and ensure the input is a list.
  2. Introduce a function docstring with a clear explanation of parameters, return values, and complexity.
  3. Wrap execution code in if __name__ == "__main__" to allow module reuse without side effects.
  4. Handle unhashable types gracefully within the deduplication logic.
  5. Add unit tests covering various scenarios including edge cases and different data types.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants