## Summary
Lots of Ruff rules encourage you to make changes that might then cause
ty to start complaining about Liskov violations. Most of these Ruff
rules already refrain from complaining about a method if they see that
the method is decorated with `@override`, but this usually isn't
documented. This PR updates the docs of many Ruff rules to note that
they refrain from complaining about `@override`-decorated methods, and
also adds a similar note to the ty `invalid-method-override`
documentation.
Helps with
https://github.com/astral-sh/ty/issues/1644#issuecomment-3581663859
## Test Plan
- `uvx prek run -a` locally
- CI on this PR
## Summary
As reported in #19757:
While attempting ISC003 autofix for an expression with explicit string
concatenation, with either operand being a string literal that wraps
across multiple lines (in parentheses) - it resulted in generating a fix
which caused runtime error.
Example:
```
_ = "abc" + (
"def"
"ghi"
)
```
was being auto-fixed to:
```
_ = "abc" (
"def"
"ghi"
)
```
which raised `TypeError: 'str' object is not callable`
This commit makes changes to just report diagnostic - no autofix in such
cases.
Fixes#19757.
## Test Plan
Added example scenarios in
`crates/ruff_linter/resources/test/fixtures/flake8_implicit_str_concat/ISC.py`.
Signed-off-by: Prakhar Pratyush <prakhar1144@gmail.com>
## Summary
Fixes the PLE1141 (`dict-iter-missing-items`) rule to allow fixes for
empty dictionaries unless they have type annotations indicating 2-tuple
keys. Previously, the fix was incorrectly suppressed for all empty dicts
due to vacuous truth in the `all()` function.
Fixes#21289
## Problem Analysis
The `is_dict_key_tuple_with_two_elements` function was designed to
suppress the fix when a dictionary's keys are all 2-tuples, as unpacking
tuple keys directly would change runtime behavior.
However, for empty dictionaries, `iter_keys()` returns an empty
iterator, and `all()` on an empty iterator returns `true` (vacuous
truth). This caused the function to incorrectly suppress fixes for empty
dicts, even when there was no indication that future keys would be
2-tuples.
## Approach
1. **Detect empty dictionaries**: Added a check to identify when a dict
literal has no keys.
2. **Handle annotated empty dicts**: For empty dicts with type
annotations:
- Parse the annotation to check if it's `dict[tuple[T1, T2], ...]` where
the tuple has exactly 2 elements
- Support both PEP 484 (`typing.Dict`, `typing.Tuple`) and PEP 585
(`dict`, `tuple`) syntax
- If tuple keys are detected, suppress the fix (correct behavior)
- Otherwise, allow the fix
3. **Handle unannotated empty dicts**: For empty dicts without
annotations, allow the fix since there's no indication that keys will be
2-tuples.
4. **Preserve existing behavior**: For non-empty dicts, the original
logic is unchanged - check if all existing keys are 2-tuples.
The implementation includes helper functions:
- `is_annotation_dict_with_tuple_keys()`: Checks if a type annotation
specifies dict with tuple keys
- `is_tuple_type_with_two_elements()`: Checks if a type expression
represents a 2-tuple
Test cases were added to verify:
- Empty dict without annotation triggers the error
- Empty dict with `dict[tuple[int, str], bool]` suppresses the error
- Empty dict with `dict[str, int]` triggers the error
- Existing tests remain unchanged
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
Extends the `used-dummy-variable` rule
([RUF052](https://docs.astral.sh/ruff/rules/used-dummy-variable/)) to
detect dummy variables that are used within list comprehensions, dict
comprehensions, set comprehensions, and generator expressions, not just
regular for loops and function assignments.
### Problem
Previously, RUF052 only flagged dummy variables (variables with leading
underscores) that were used in function scopes via assignments or
regular for loops. It missed cases where dummy variables were used
within comprehensions:
```python
def example():
my_list = [{"foo": 1}, {"foo": 2}]
# These were not detected before:
[_item["foo"] for _item in my_list] # Should warn: _item is used
{_item["key"]: _item["val"] for _item in my_list} # Should warn: _item is used
(_item["foo"] for _item in my_list) # Should warn: _item is used
```
### Solution
- Extended scope checking to include all generator scopes () with any
(list/dict/set comprehensions and generator expressions)
`ScopeKind::Generator``GeneratorKind`
- Added support for bindings, which cover loop variables in both regular
for loops and comprehensions `BindingKind::LoopVar`
- Refactored the scope validation logic for better readability with a
descriptive variable `is_allowed_scope`
[ISSUE](https://github.com/astral-sh/ruff/issues/19732)
## Test Plan
```bash
cargo test
```
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
Updated `S508` (snmp-insecure-version) and `S509`
(snmp-weak-cryptography) rules to support both old and new PySNMP API
module paths. Previously, these rules only detected the old API path
`pysnmp.hlapi.*`, but now they correctly detect all PySNMP API variants
including `pysnmp.hlapi.asyncio.*`, `pysnmp.hlapi.v1arch.*`,
`pysnmp.hlapi.v3arch.*`, and `pysnmp.hlapi.auth.*`.
Fixes#21364
## Problem Analysis
The `S508` and `S509` rules used exact pattern matching on qualified
names:
- `S509` only matched `["pysnmp", "hlapi", "UsmUserData"]`
- `S508` only matched `["pysnmp", "hlapi", "CommunityData"]`
This meant that newer PySNMP API paths were not detected, such as:
- `pysnmp.hlapi.asyncio.UsmUserData`
- `pysnmp.hlapi.v3arch.asyncio.UsmUserData`
- `pysnmp.hlapi.v3arch.asyncio.auth.UsmUserData`
- `pysnmp.hlapi.auth.UsmUserData`
- Similar variants for `CommunityData` in `S508`
Additionally, the old API path `pysnmp.hlapi.auth.*` was also missing
from both rules.
## Approach
Instead of exact pattern matching, both rules now check if:
1. The qualified name starts with `["pysnmp", "hlapi"]`
2. The qualified name ends with the target class name (`"UsmUserData"`
for `S509`, `"CommunityData"` for `S508`)
This flexible approach matches all PySNMP API paths without hardcoding
each variant, making the rules more maintainable and future-proof.
## Test Plan
Added comprehensive test cases to both `S508.py` and `S509.py` test
files covering:
- New API paths: `pysnmp.hlapi.asyncio.*`, `pysnmp.hlapi.v1arch.*`,
`pysnmp.hlapi.v3arch.*`
- Old API path: `pysnmp.hlapi.auth.*`
- Both insecure and secure usage patterns
All existing tests pass, and new snapshot tests were added and accepted.
Manual verification confirms both rules correctly detect all PySNMP API
variants.
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
Summary
--
This PR wires up the `Diagnostic::set_documentation_url` method from
#21502 to Ruff's lint diagnostics. This enables the links for the full
and concise output formats without any other changes.
I considered also including the URLs for the grouped and pylint output
formats, but the grouped format is still in `ruff_linter` instead of
`ruff_db`, so we'd have to export some additional functionality to wire
it up with `fmt_with_hyperlink`; and the pylint format doesn't currently
render with color, so I think it might actually be machine readable
rather than human readable?
The other ouput formats (json, json-lines, junit, github, gitlab,
rdjson, azure, sarif) seem more clearly not to need the links.
Test Plan
--
I guess you can't see my cursor or the browser opening, but it works for
lint rules, which have links, and doesn't include a link for syntax
errors, which don't have valid links.
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Fixes#21389
Avoid RUF012 false positives when reassigning a ClassVar
## Test Plan
<!-- How was it tested? -->
Added the new reassignment scenario to
`crates/ruff_linter/resources/test/fixtures/ruff/RUF012.py`.
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
Fixes#21393
Now the rule checks if the index variable is initialized as an `int`
type rather than only flagging if the index variable is initialized to
`0`. I used `ResolvedPythonType` to check if the index variable is an
`int` type.
## Test Plan
Updated snapshot test for `SIM113`.
---------
Co-authored-by: Brent Westbrook <36778786+ntBre@users.noreply.github.com>
## Summary
Fixed RUF065 (`logging-eager-conversion`) to only flag `str()` calls
when they perform a simple conversion that can be safely removed. The
rule now ignores `str()` calls with no arguments, multiple arguments,
starred arguments, or keyword unpacking, preventing false positives.
Fixes#21315
## Problem Analysis
The RUF065 rule was incorrectly flagging all `str()` calls in logging
statements, even when `str()` was performing actual conversion work
beyond simple type coercion. Specifically, the rule flagged:
- `str()` with no arguments - which returns an empty string
- `str(b"data", "utf-8")` with multiple arguments - which performs
encoding conversion
- `str(*args)` with starred arguments - which unpacks arguments
- `str(**kwargs)` with keyword unpacking - which passes keyword
arguments
These cases cannot be safely removed because `str()` is doing meaningful
work (encoding conversion, argument unpacking, etc.), not just redundant
type conversion.
The root cause was that the rule only checked if the function was
`str()` without validating the call signature. It didn't distinguish
between simple `str(value)` conversions (which can be removed) and more
complex `str()` calls that perform actual work.
## Approach
The fix adds validation to the `str()` detection logic in
`logging_eager_conversion.rs`:
1. **Check argument count**: Only flag `str()` calls with exactly one
positional argument (`str_call_args.args.len() == 1`)
2. **Check for starred arguments**: Ensure the single argument is not
starred (`!str_call_args.args[0].is_starred_expr()`)
3. **Check for keyword arguments**: Ensure there are no keyword
arguments (`str_call_args.keywords.is_empty()`)
This ensures the rule only flags cases like `str(value)` where `str()`
is truly redundant and can be removed, while ignoring cases where
`str()` performs actual conversion work.
The fix maintains backward compatibility - all existing valid test cases
continue to be flagged correctly, while the new edge cases are properly
ignored.
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
Fixes FURB105 (`print-empty-string`) to detect empty f-strings in
addition to regular empty strings. Previously, the rule only flagged
`print("")` but missed `print(f"")`. This fix ensures both cases are
detected and can be automatically fixed.
Fixes#21346
## Problem Analysis
The FURB105 rule checks for unnecessary empty strings passed to
`print()` calls. The `is_empty_string` helper function was only checking
for `Expr::StringLiteral` with empty values, but did not handle
`Expr::FString` (f-strings). As a result, `print(f"")` was not being
flagged as a violation, even though it's semantically equivalent to
`print("")` and should be simplified to `print()`.
The issue occurred because the function used a `matches!` macro that
only checked for string literals:
```rust
fn is_empty_string(expr: &Expr) -> bool {
matches!(
expr,
Expr::StringLiteral(ast::ExprStringLiteral { value, .. }) if value.is_empty()
)
}
```
## Approach
1. **Import the helper function**: Added `is_empty_f_string` to the
imports from `ruff_python_ast::helpers`, which already provides logic to
detect empty f-strings.
2. **Update `is_empty_string` function**: Changed the implementation
from a `matches!` macro to a `match` expression that handles both string
literals and f-strings:
```rust
fn is_empty_string(expr: &Expr) -> bool {
match expr {
Expr::StringLiteral(ast::ExprStringLiteral { value, .. }) =>
value.is_empty(),
Expr::FString(f_string) => is_empty_f_string(f_string),
_ => false,
}
}
```
The fix leverages the existing `is_empty_f_string` helper function which
properly handles the complexity of f-strings, including nested f-strings
and interpolated expressions. This ensures the detection is accurate and
consistent with how empty strings are detected elsewhere in the
codebase.
## Summary
Fixed FURB101 (`read-whole-file`) to handle annotated assignments.
Previously, the rule would detect violations in code like `contents: str
= f.read()` but fail to generate a fix. Now it correctly generates fixes
that preserve type annotations (e.g., `contents: str =
Path("file.txt").read_text(encoding="utf-8")`).
Fixes#21274
## Problem Analysis
The FURB101 rule was only checking for `Stmt::Assign` statements when
determining whether a fix could be applied. When encountering annotated
assignments (`Stmt::AnnAssign`) like `contents: str = f.read()`, the
rule would:
1. Correctly detect the violation (the diagnostic was reported)
2. Fail to generate a fix because:
- The `visit_expr` method only matched `Stmt::Assign`, not
`Stmt::AnnAssign`
- The `generate_fix` function only accepted `Stmt::Assign` in its body
validation
- The replacement code generation didn't account for type annotations
This occurred because Python's AST represents annotated assignments as a
different node type (`StmtAnnAssign`) with separate fields for the
target, annotation, and value, unlike regular assignments which use a
list of targets.
## Approach
The fix extends the rule to handle both assignment types:
1. **Updated `visit_expr` method**: Now matches both `Stmt::Assign` and
`Stmt::AnnAssign`, extracting:
- Variable name from the target expression
- Type annotation code (when present) using the code generator
2. **Updated `generate_fix` function**:
- Added `annotation: Option<String>` parameter to accept annotation code
- Updated body validation to accept both `Stmt::Assign` and
`Stmt::AnnAssign`
- Modified replacement code generation to preserve annotations: `{var}:
{annotation} = {binding}({filename_code}).{suggestion}`
3. **Added test case**: Added an annotated assignment test case to
verify the fix works correctly.
The implementation maintains backward compatibility with regular
assignments while adding support for annotated assignments, ensuring
type annotations are preserved in the generated fixes.
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
Summary
--
These rules are themselves in preview, so we don't need the additional
preview checks on the fixes or the separate preview tests. This has
confused me in a couple of reviews of changes to the fixes.
Test Plan
--
Existing tests, with the fixes previously only shown in the preview
tests now in the "non-preview" tests.
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
This PR ports PLE0117 as a semantic syntax error.
## Test Plan
<!-- How was it tested? -->
Tests previously written
---------
Signed-off-by: 11happy <soni5happy@gmail.com>
Co-authored-by: Brent Westbrook <36778786+ntBre@users.noreply.github.com>
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
Fixes FURB157 false negative where `Decimal("_-1")` was not flagged as
verbose when underscores precede the sign character. This fixes#21186.
## Problem Analysis
The `verbose-decimal-constructor` (FURB157) rule failed to detect
verbose `Decimal` constructors when the sign character (`+` or `-`) was
preceded by underscores. For example, `Decimal("_-1")` was not flagged,
even though it can be simplified to `Decimal(-1)`.
The bug occurred because the rule checked for the sign character at the
start of the string before stripping leading underscores. According to
Python's `Decimal` parser behavior (as documented in CPython's
`_pydecimal.py`), underscores are removed before parsing the sign. The
rule's logic didn't match this behavior, causing a false negative for
cases like `"_-1"` where the underscore came before the sign.
This was a regression introduced in version 0.14.3, as these cases were
correctly flagged in version 0.14.2.
## Approach
The fix updates the sign extraction logic to:
1. Strip leading underscores first (matching Python's Decimal parser
behavior)
2. Extract the sign from the underscore-stripped string
3. Preserve the string after the sign for normalization purposes
This ensures that cases like `Decimal("_-1")`, `Decimal("_+1")`, and
`Decimal("_-1_000")` are correctly detected and flagged. The
normalization logic was also updated to use the string after the sign
(without underscores) to avoid double signs in the replacement output.
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## Summary
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* extend AIR301 to include deprecated argument `concurrency` in
`airflow....DAG`
## Test Plan
<!-- How was it tested? -->
update the existing test fixture in the first commit and then reorganize
in the second one
Summary
--
This code has been unused since #14233 but not detected by clippy I
guess. This should help to remove the temptation to use the set
comparison again like I suggested in #21144. And we shouldn't do the set
comparison because of #13802, which #14233 fixed.
Test Plan
--
Existing tests
The parser currently uses single quotes to wrap tokens. This is
inconsistent with the rest of ruff/ty, which use backticks.
For example, see the inconsistent diagnostics produced in this simple
example: https://play.ty.dev/0a9d6eab-6599-4a1d-8e40-032091f7f50f
Consistently wrapping tokens in backticks produces uniform diagnostics.
Following the style decision of #723, in #2889 some quotes were already
switched into backticks.
This is also in line with Rust's guide on diagnostics
(https://rustc-dev-guide.rust-lang.org/diagnostics.html#diagnostic-structure):
> When code or an identifier must appear in a message or label, it
should be surrounded with backticks
Summary
--
Fixes#21121 by upgrading `RuntimeEvaluated` annotations like
`dataclasses.KW_ONLY` to `RuntimeRequired`. We already had special
handling for
`TypingOnly` annotations in this context but not `RuntimeEvaluated`.
Combining
that with the `future-annotations` setting, which allowed ignoring the
`RuntimeEvaluated` flag, led to the reported bug where we would try to
move
`KW_ONLY` into a `TYPE_CHECKING` block.
Test Plan
--
A new test based on the issue
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## Summary
Fixed the incorrect import example in the "correct exmaple"
<!-- What's the purpose of the change? What does it do, and why? -->
## Test Plan
🤷
<!-- How was it tested? -->
Tsvika Shapira
Alex Waygood
Dan Parizher
Micha Reiser
Shahar Naveh
Prakhar Pratyush
chiri
Mikko Leppänen
Brent Westbrook
Ruchir
Bhuminjay Soni
Nikolas Hearp
Dylan
Wei Lee
Tom Kuson
Luca Chiodini
Amethyst Reese
Jonas Vacek