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Summary

Fixes #1657.

This fixes a type checking bug where Pyrefly incorrectly flagged errors when using list[str] for columns and index parameters in the pd.DataFrame constructor:

import pandas as pd
df = pd.DataFrame(columns=['a', 'b', 'c'], index=['a','b','c'])
# Error: Argument `list[str]` is not assignable to parameter `columns`
# Error: Argument `list[str]` is not assignable to parameter `index`

The root cause is pandas 2.x's incorrect SequenceNotStr protocol definition in typeshed. The protocol's index() method signature is:

def index(self, value: Any, /, start: int = 0, stop: int = ...) -> int

This makes only value position-only, but list.index() requires ALL parameters to be position-only. Since list.index(value, start, stop, /) doesn't structurally match the protocol (parameter kinds differ), list[str] fails to satisfy the protocol constraint.

The Fix

Added corrected pandas stubs to pyrefly's bundled typeshed matching the fix from pandas main branch
(targeted for pandas 2.3/3.0). The corrected SequenceNotStr protocol in pandas/_typing.pyi now defines:

def index(self, value: Any, start: int = ..., stop: int = ..., /) -> int

All parameters are position-only, matching list.index() signature. This allows list[str] to properly satisfy the SequenceNotStr[str] protocol used by DataFrame's columns and index parameters.

The stubs include:

  • pandas/_typing.pyi - Corrected SequenceNotStr protocol and type aliases
  • pandas/__init__.pyi - DataFrame, Series exports and common functions
  • pandas/core/frame.pyi - DataFrame class definition
  • pandas/core/series.pyi - Series class definition
  • METADATA.toml - Package metadata
    • pandas/core/__init__.pyi - Core module stub
      Total: 6 stub files (82 lines) + test (140 lines)

Test Plan

  1. Added regression tests in pyrefly/lib/test/pandas/dataframe.rs:
cargo test test_dataframe

Result: passes

references :

Fixes facebook#1657.

This PR adds test cases demonstrating that list[str] can be used with
pandas DataFrame columns and index parameters when using the corrected
SequenceNotStr protocol definition from pandas main branch.

## The Issue

When attempting to pass list[str] to DataFrame's columns or index parameters,
type checkers reject the assignment due to a protocol incompatibility:

```python
df = pd.DataFrame([[1, 2, 3]], columns=["A", "B", "C"])
# ERROR: Argument `list[str]` is not assignable to parameter `columns`
```

The issue is in pandas 2.x's SequenceNotStr protocol definition, where the
index() method has mismatched parameter kinds:

- pandas 2.x (broken): `def index(self, value: Any, /, start: int = 0, stop: int = ...) -> int`
- list.index (actual): `def index(self, value, start=0, stop=sys.maxsize, /) -> int`

Only `value` is position-only in the protocol, but all parameters are
position-only in list.index, causing structural subtyping to fail.

## The Solution

Pandas fixed this in their main branch (for 3.0) by making all parameters
position-only to match the actual list.index signature:

```python
def index(self, value: Any, start: int = ..., stop: int = ..., /) -> int
```

This PR adds test cases using inline stubs with the corrected protocol
definition, verifying that the fix resolves the issue.

## Test Plan

Added test suite in pyrefly/lib/test/pandas/dataframe.rs:

- test_dataframe_list_str_columns: DataFrame with list[str] columns
- test_dataframe_list_str_both: DataFrame with list[str] for both params

Both tests use inline stubs with the corrected SequenceNotStr protocol.

Verification:
```
cargo test test::pandas --lib    # All tests pass
```

## References

- Issue: pandas-dev/pandas#56995
- Fixed in pandas main: https://github.com/pandas-dev/pandas/blob/main/pandas/_typing.py
This adds minimal pandas stubs with the corrected SequenceNotStr protocol
to pyrefly's bundled typeshed, fixing issue facebook#1657 for all users.

The stubs include:
- Corrected SequenceNotStr protocol (all params position-only)
- DataFrame and Series classes
- Common read functions (read_csv, read_excel, read_json)
- concat function

These bundled stubs will be used for pandas 2.x installations and provide
the fix until pandas 3.0 is released with the corrected protocol.
@meta-cla meta-cla bot added the cla signed label Nov 22, 2025
@stroxler stroxler requested a review from rchen152 November 22, 2025 17:41
@stroxler
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stroxler commented Nov 22, 2025

Thanks for the PR, and for looking into Pandas to diagnose our issues!

Requesting review from @rchen152 because I think she has the best context on stub bundling - as a rule of thumb I don't think we would want to override released stubs, but if the typeshed stubs are badly broken for a library this important we might need to consider it.

We also might be able to hack Pyrefly internals a bit if necessary as an alternative - in theory I think an edge case in is_subset_eq might actually be easier to maintain than stub overrides.

Instead of bundling corrected pandas stubs, implement an edge case in
is_subset_param_list that allows position-only parameters (PosOnly) to
match regular positional parameters (Pos) in protocol checking.

This fixes the pandas SequenceNotStr protocol compatibility issue where
list.index() (which has position-only params) was failing to match
SequenceNotStr.index() from pandas 2.x typeshed stubs (which incorrectly
lacks position-only markers).

The edge case is type-safe: if a protocol allows a parameter to be passed
by position or keyword (Pos), an implementation that only allows positional
(PosOnly) is more restrictive, which is acceptable for subtyping.

Benefits over bundled stubs:
- Single code change instead of maintaining separate stub files
- Won't conflict with future typeshed updates
- Easier to track and maintain
- General improvement to protocol checking, not pandas-specific

Changes:
- Add edge case in pyrefly/lib/solver/subset.rs:123-136
- Add test case test_dataframe_with_broken_stubs to verify fix works
  with actual broken pandas 2.x stubs
- Remove bundled pandas stubs (no longer needed)

Fixes facebook#1657
@Jack-GitHub12
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Hi @stroxler,

Thanks for the suggestion! I added an edge case in is_subset_eq that allows position-only parameters (PosOnly) to match regular positional parameters (Pos) in protocol checking.

Added test_dataframe_with_broken_stubs which uses the actual broken pandas 2.x stubs and verifies list[str] correctly matches SequenceNotStr[Any].

Testing

cargo test test_dataframe

Result: passes

// This handles cases like list.index() (which has position-only params) matching
// SequenceNotStr.index() from pandas 2.x typeshed stubs (which incorrectly
// lacks position-only markers, fixed in pandas 3.0).
// From a typing perspective, this is sound: if a protocol allows a parameter
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This seems backwards to me. The implementation should be less restrictive, so that it can be used everywhere the protocol can be used.

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Flags using list[str] for columns and index on pd.DataFrame

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