tdqm 1 #10
tdqm 1 #10
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SummaryThis PR addresses a bug fix and code cleanup in the tqdm library. It correctly passes the 'start' parameter to the 'tqdm_class' in the 'tenumerate' function to ensure proper enumeration with progress bar support. Additionally, a redundant line in the test for 'tenumerate' with a start index was removed. The changes improve the accuracy of progress bar enumeration and streamline the test code, demonstrating a focus on both correctness and code quality improvement in the contrib module of tqdm. Pull Request Impact: 2 🔍 See your Change Graph🔄 File Changes Overview
📊 Impact SummaryThis tables shows the impact of the changes in the codebase
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![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
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Actionable comments posted: 2
🔭 Outside diff range comments (1)
tqdm_1/tqdm/contrib/__init__.py (1)
26-32: 🛠️ Refactor suggestionUpdate docstring to reflect the actual behavior.
The docstring claims this function is "Equivalent of
numpy.ndenumerateor builtinenumerate", but with the recent change to howstartis handled, this is no longer accurate for thestartparameter behavior.""" - Equivalent of `numpy.ndenumerate` or builtin `enumerate`. + Equivalent of `numpy.ndenumerate` or builtin `enumerate`, with progress bar. + Note: The `start` parameter controls the progress bar initial position, + not the enumeration starting index. Parameters ---------- + start : int, optional. Initial progress bar position. tqdm_class : [default: tqdm.auto.tqdm]. """
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📒 Files selected for processing (2)
tqdm_1/tqdm/contrib/__init__.py(1 hunks)tqdm_1/tqdm/tests/tests_contrib.py(0 hunks)
💤 Files with no reviewable changes (1)
- tqdm_1/tqdm/tests/tests_contrib.py
| return tqdm_class(np.ndenumerate(iterable), | ||
| total=total or len(iterable), **tqdm_kwargs) | ||
| return enumerate(tqdm_class(iterable, **tqdm_kwargs), start) | ||
| return enumerate(tqdm_class(iterable, start, **tqdm_kwargs)) |
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Breaking change: start parameter behavior fundamentally altered.
This change moves the start parameter from controlling enumeration indexing (via enumerate()) to being passed to tqdm_class, which likely affects progress bar display instead. This is a significant breaking change that will affect existing users who rely on start for enumeration indexing.
Issues identified:
- API contract violation: Users expecting
tenumerate(items, start=10)to start enumeration at index 10 will get different behavior - Documentation inconsistency: The docstring claims equivalence to builtin
enumerate, but this is no longer true for thestartparameter - Inconsistent handling: The numpy path (lines 38-40) doesn't handle
startat all
Verification needed:
Consider either:
- Reverting this change to maintain backwards compatibility
- Updating the docstring to clearly document the new behavior
- Adding a deprecation warning for the transition period
🏁 Script executed:
#!/bin/bash
# Search for existing usage of tenumerate with start parameter to assess impact
rg -A 3 -B 3 "tenumerate.*start\s*="
# Look for any documentation or tests that might explain the intended behavior
rg -A 5 -B 5 "start.*enumerate|enumerate.*start"Length of output: 1933
Breaking change: start now controls the progress bar, not the enumeration index
The recent change moves the start argument from Python’s built-in enumerate() to the tqdm_class constructor. This diverges from the documented behavior (“equivalent to enumerate”) and will break any code that relies on tenumerate(..., start=N) to begin counting at N.
Locations requiring attention:
- tqdm_1/tqdm/contrib/init.py:41
- return enumerate(tqdm_class(iterable, **tqdm_kwargs), start)
- return enumerate(tqdm_class(iterable, start, **tqdm_kwargs))
- **Docstring for `tenumerate`** still claims equivalence to the builtin `enumerate`, but the `start` parameter now affects only the progress‐bar offset, not the index returned.
- **NumPy branch (lines 38–40)**:
```python
if isinstance(iterable, np.ndarray):
return tqdm_class(np.ndenumerate(iterable),
total=total or len(iterable), **tqdm_kwargs)
ignores start entirely.
Recommended fixes:
- Restore the original enumeration behavior by passing
starttoenumerate()(and remove it fromtqdm_class), or - If the new behavior is intentional:
- Update the docstring to clearly state that
startnow only offsets the progress bar. - Implement
startsupport in the NumPy path (e.g., wrap the iterator inenumerate(..., start)). - Add a deprecation warning for the old enumeration behavior and bump the major version to signal the breaking change.
- Update the docstring to clearly state that
🤖 Prompt for AI Agents
In tqdm_1/tqdm/contrib/__init__.py at line 41, the start parameter is
incorrectly passed to tqdm_class instead of enumerate, breaking the expected
enumeration indexing behavior. To fix this, revert the change by passing start
to the built-in enumerate() function to control the enumeration index, and
remove start from tqdm_class arguments. Additionally, update the NumPy branch
(lines 38-40) to wrap the iterator with enumerate(..., start) to maintain
consistent start behavior. Finally, update the tenumerate docstring to reflect
the correct behavior of start controlling enumeration indexing, or if the new
behavior is intended, clearly document the change, add a deprecation warning,
and handle start consistently in all code paths.
| if isinstance(iterable, np.ndarray): | ||
| return tqdm_class(np.ndenumerate(iterable), | ||
| total=total or len(iterable), **tqdm_kwargs) |
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🛠️ Refactor suggestion
Inconsistent start parameter handling in numpy path.
The numpy code path doesn't handle the start parameter at all, creating inconsistent behavior between numpy arrays and other iterables.
if isinstance(iterable, np.ndarray):
return tqdm_class(np.ndenumerate(iterable),
- total=total or len(iterable), **tqdm_kwargs)
+ total=total or len(iterable),
+ initial=start, **tqdm_kwargs)This assumes start should affect the initial progress bar position consistently across both code paths.
📝 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.
| if isinstance(iterable, np.ndarray): | |
| return tqdm_class(np.ndenumerate(iterable), | |
| total=total or len(iterable), **tqdm_kwargs) | |
| if isinstance(iterable, np.ndarray): | |
| return tqdm_class(np.ndenumerate(iterable), | |
| total=total or len(iterable), | |
| initial=start, **tqdm_kwargs) |
🤖 Prompt for AI Agents
In tqdm_1/tqdm/contrib/__init__.py around lines 38 to 40, the numpy array
handling path does not use the `start` parameter, causing inconsistent progress
bar behavior compared to other iterables. Modify the numpy path to pass the
`start` parameter to the tqdm_class constructor, ensuring the initial progress
bar position respects `start` consistently across all iterable types.
![blar-app[bot]](https://avatars.githubusercontent.com/in/940296?s=60&v=4){kind=small}
| return tqdm_class(np.ndenumerate(iterable), | ||
| total=total or len(iterable), **tqdm_kwargs) | ||
| return enumerate(tqdm_class(iterable, **tqdm_kwargs), start) | ||
| return enumerate(tqdm_class(iterable, start, **tqdm_kwargs)) |
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🟠 Warning 🐛 Bug
tenumerate's start parameter is ignored, causing the index to always start at 0.
Issue Explanation
- In blarApp/open-benchmark/tqdm_1/tqdm/contrib/init.py, the code calls:
return enumerate(tqdm_class(iterable, start, **tqdm_kwargs))
- The
startargument is passed totqdm_classinstead of toenumerate. - As a result,
enumerateuses its defaultstart=0and ignores thestartpassed totenumerate. - The
startparameter ontenumeratehas no effect on the returned indices. - Fix: pass
starttoenumerate, for example:return enumerate(tqdm_class(iterable, **tqdm_kwargs), start=start)
Reply if you have any questions or let me know if I missed something.
Don't forget to react with a 👍 or 👎 to the comments made by Blar to help us improve.
| return tqdm_class(np.ndenumerate(iterable), | ||
| total=total or len(iterable), **tqdm_kwargs) | ||
| return enumerate(tqdm_class(iterable, **tqdm_kwargs), start) | ||
| return enumerate(tqdm_class(iterable, start, **tqdm_kwargs)) |
There was a problem hiding this comment.
🟠 Warning 🐛 Bug
Passing the start value positionally to tqdm_class sets it as desc instead of the initial counter.
Issue Explanation
- In blarApp/open-benchmark/tqdm_1/tqdm/contrib/init.py:tenumerate, the call uses
tqdm_class(iterable, start, **tqdm_kwargs). tqdmsignature istqdm(iterable=None, desc=None, total=None, initial=0, ...), so the second positional argument maps todesc.- The bar’s description receives the
startvalue, leavinginitialat its default (0). - Enumerated indices start at zero regardless of the
startparameter. - Solution: pass
startas a named argument, e.g.tqdm_class(iterable, initial=start, **tqdm_kwargs).
return enumerate(tqdm_class(iterable, start, **tqdm_kwargs))Reply if you have any questions or let me know if I missed something.
Don't forget to react with a 👍 or 👎 to the comments made by Blar to help us improve.
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❕ It looks like we couldn't find any design patterns in the Wiki for this repository. Let's add some at: app.blar.io/wiki Review's done! 🚀 Check out the feedback and let me know if you need anything! – Blar |
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Your code's so confused, it can't tell whether 'start' is for counting or describing itself. Maybe next time, lend it a GPS so it can find its proper arguments. |
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TIE |
Summary by CodeRabbit
Bug Fixes
Tests