## Summary
We understand `sys.version_info` branches now! As such, I _believe_ this
branch is no longer required; all tests pass without it. I also ran
`QUICKCHECK_TESTS=100000 cargo test -p red_knot_python_semantic --
--ignored types::property_tests::stable`, and no tests failed except for
the known issue with `Type::is_assignable_to()`
(https://github.com/astral-sh/ruff/issues/14899)
## Test Plan
See above
This updates the mdtest harness to catch any panics that occur during
type checking, and to display the panic message as an mdtest failure.
(We don't know which specific line causes the failure, so we attribute
panics to the first line of the test case.)
The default logging level for diagnostics includes logs written using
the `log` crate with level `error`, `warn`, and `info`. An unsuccessful
fix attached to a diagnostic via `try_set_fix` or `try_set_optional_fix`
was logged at level `error`. Note that the user would see these messages
even without passing `--fix`, and possibly also on lines with `noqa`
comments.
This PR changes the logging level here to a `debug`. We also found
ad-hoc instances of error logging in the implementations of several
rules, and have replaced those with either a `debug` or call to
`try_set{_optional}_fix`.
Closes#15229
## Summary
This PR re-introduces the control-flow graph implementation which was
first introduced in #5384, and then removed in #9463 due to not being
feature complete. Mainly, it lacked the ability to process
`try`-`except` blocks, along with some more minor bugs.
Closes#8958 and #8959 and #14881.
## Overview of Changes
I will now highlight the major changes implemented in this PR, in order
of implementation.
1. Introduced a post-processing step in loop handling to find any
`continue` or `break` statements within the loop body and redirect them
appropriately.
2. Introduced a loop-continue block which is always placed at the end of
loop blocks, and ensures proper looping regardless of the internal logic
of the block. This resolves#8958.
3. Implemented `try` processing with the following logic (resolves
#8959):
1. In the example below the cfg first encounters a conditional
`ExceptionRaised` forking if an exception was (or will be) raised in the
try block. This is not possible to know (except for trivial cases) so we
assume both paths can be taken unconditionally.
2. Going down the `try` path the cfg goes `try`->`else`->`finally`
unconditionally.
3. Going down the `except` path the cfg will meet several conditional
`ExceptionCaught` which fork depending on the nature of the exception
caught. Again there's no way to know which exceptions may be raised so
both paths are assumed to be taken unconditionally.
4. If none of the exception blocks catch the exception then the cfg
terminates by raising a new exception.
5. A post-processing step is also implemented to redirect any `raises`
or `returns` within the blocks appropriately.
```python
def func():
try:
print("try")
except Exception:
print("Exception")
except OtherException as e:
print("OtherException")
else:
print("else")
finally:
print("finally")
```
```mermaid
flowchart TD
start(("Start"))
return(("End"))
block0[["`*(empty)*`"]]
block1["print(#quot;finally#quot;)\n"]
block2["print(#quot;else#quot;)\n"]
block3["print(#quot;try#quot;)\n"]
block4[["Exception raised"]]
block5["print(#quot;OtherException#quot;)\n"]
block6["try:
print(#quot;try#quot;)
except Exception:
print(#quot;Exception#quot;)
except OtherException as e:
print(#quot;OtherException#quot;)
else:
print(#quot;else#quot;)
finally:
print(#quot;finally#quot;)\n"]
block7["print(#quot;Exception#quot;)\n"]
block8["try:
print(#quot;try#quot;)
except Exception:
print(#quot;Exception#quot;)
except OtherException as e:
print(#quot;OtherException#quot;)
else:
print(#quot;else#quot;)
finally:
print(#quot;finally#quot;)\n"]
block9["try:
print(#quot;try#quot;)
except Exception:
print(#quot;Exception#quot;)
except OtherException as e:
print(#quot;OtherException#quot;)
else:
print(#quot;else#quot;)
finally:
print(#quot;finally#quot;)\n"]
start --> block9
block9 -- "Exception raised" --> block8
block9 -- "else" --> block3
block8 -- "Exception" --> block7
block8 -- "else" --> block6
block7 --> block1
block6 -- "OtherException" --> block5
block6 -- "else" --> block4
block5 --> block1
block4 --> return
block3 --> block2
block2 --> block1
block1 --> block0
block0 --> return
```
6. Implemented `with` processing with the following logic:
1. `with` statements have no conditional execution (apart from the
hidden logic handling the enter and exit), so the block is assumed to
execute unconditionally.
2. The one exception is that exceptions raised within the block may
result in control flow resuming at the end of the block. Since it is not
possible know if an exception will be raised, or if it will be handled
by the context manager, we assume that execution always continues after
`with` blocks even if the blocks contain `raise` or `return` statements.
This is handled in a post-processing step.
## Test Plan
Additional test fixtures and control-flow fixtures were added.
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
Co-authored-by: dylwil3 <dylwil3@gmail.com>
## Summary
Remove `Type::tuple` in favor of `TupleType::from_elements`, avoid a few
intermediate `Vec`tors. Resolves an old [review
comment](https://github.com/astral-sh/ruff/pull/14744#discussion_r1867493706).
## Test Plan
New regression test for something I ran into while implementing this.
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
During https://github.com/astral-sh/ruff/pull/15209, additional spaces
was accidentally added to the rule
`airflow.operators.latest_only.LatestOnlyOperator`. This PR fixes this
issue
## Test Plan
<!-- How was it tested? -->
A test fixture has been included for the rule.
## Summary
Airflow 3.0 removes various deprecated functions, members, modules, and
other values. They have been deprecated in 2.x, but the removal causes
incompatibilities that we want to detect. This PR add rules for the
following.
* Removed class attribute
* `airflow.providers_manager.ProvidersManager.dataset_factories` →
`airflow.providers_manager.ProvidersManager.asset_factories`
* `airflow.providers_manager.ProvidersManager.dataset_uri_handlers` →
`airflow.providers_manager.ProvidersManager.asset_uri_handlers`
*
`airflow.providers_manager.ProvidersManager.dataset_to_openlineage_converters`
→
`airflow.providers_manager.ProvidersManager.asset_to_openlineage_converters`
* `airflow.lineage.hook.DatasetLineageInfo.dataset` →
`airflow.lineage.hook.AssetLineageInfo.asset`
* Removed class method (subclasses in airflow should also checked)
* `airflow.secrets.base_secrets.BaseSecretsBackend.get_conn_uri` →
`airflow.secrets.base_secrets.BaseSecretsBackend.get_conn_value`
* `airflow.secrets.base_secrets.BaseSecretsBackend.get_connections` →
`airflow.secrets.base_secrets.BaseSecretsBackend.get_connection`
* `airflow.hooks.base.BaseHook.get_connections` → use `get_connection`
* `airflow.datasets.BaseDataset.iter_datasets` →
`airflow.sdk.definitions.asset.BaseAsset.iter_assets`
* `airflow.datasets.BaseDataset.iter_dataset_aliases` →
`airflow.sdk.definitions.asset.BaseAsset.iter_asset_aliases`
* Removed constructor args (subclasses in airflow should also checked)
* argument `filename_template`
in`airflow.utils.log.file_task_handler.FileTaskHandler`
* in `BaseOperator`
* `sla`
* `task_concurrency` → `max_active_tis_per_dag`
* in `BaseAuthManager`
* `appbuilder`
* Removed class variable (subclasses anywhere should be checked)
* in `airflow.plugins_manager.AirflowPlugin`
* `executors` (from #43289)
* `hooks`
* `operators`
* `sensors`
* Replaced names
* `airflow.hooks.base_hook.BaseHook` → `airflow.hooks.base.BaseHook`
* `airflow.operators.dagrun_operator.TriggerDagRunLink` →
`airflow.operators.trigger_dagrun.TriggerDagRunLink`
* `airflow.operators.dagrun_operator.TriggerDagRunOperator` →
`airflow.operators.trigger_dagrun.TriggerDagRunOperator`
* `airflow.operators.python_operator.BranchPythonOperator` →
`airflow.operators.python.BranchPythonOperator`
* `airflow.operators.python_operator.PythonOperator` →
`airflow.operators.python.PythonOperator`
* `airflow.operators.python_operator.PythonVirtualenvOperator` →
`airflow.operators.python.PythonVirtualenvOperator`
* `airflow.operators.python_operator.ShortCircuitOperator` →
`airflow.operators.python.ShortCircuitOperator`
* `airflow.operators.latest_only_operator.LatestOnlyOperator` →
`airflow.operators.latest_only.LatestOnlyOperator`
In additional to the changes above, this PR also add utility functions
and improve docstring.
## Test Plan
A test fixture is included in the PR.
## Summary
Changes two things about the entry:
* make the example valid TOML - inline tables must be a single line, at
least till v1.1.0 is released,
but also while in the future the toml version used by ruff might handle
it, it would probably be
good to stick to a spec that's readable by the vast majority of other
tools and versions as well,
especially if people are using `pyproject.toml`. The current example
leads to `ruff` failure.
See https://github.com/toml-lang/toml/pull/904
* adds a line about the ability to add non-Python files to the map,
which I think is a specific and
important feature people should know about (in fact, I would assume this
could potentially
become the single biggest use-case for this).
## Test Plan
Ran doc creation as described in the
[contribution](https://docs.astral.sh/ruff/contributing/#mkdocs) guide.
---------
Co-authored-by: Charlie Marsh <charlie.r.marsh@gmail.com>
## Summary
Part of #13773
This PR adds diagnostics when there is a length mismatch during
unpacking between the number of target expressions and the number of
types for the unpack value expression.
There are 3 cases of diagnostics here where the first two occurs when
there isn't a starred expression and the last one occurs when there's a
starred expression:
1. Number of target expressions is **less** than the number of types
that needs to be unpacked
2. Number of target expressions is **greater** then the number of types
that needs to be unpacked
3. When there's a starred expression as one of the target expression and
the number of target expressions is greater than the number of types
Examples for all each of the above cases:
```py
# red-knot: Too many values to unpack (expected 2, got 3) [lint:invalid-assignment]
a, b = (1, 2, 3)
# red-knot: Not enough values to unpack (expected 2, got 1) [lint:invalid-assignment]
a, b = (1,)
# red-knot: Not enough values to unpack (expected 3 or more, got 2) [lint:invalid-assignment]
a, *b, c, d = (1, 2)
```
The (3) case is a bit special because it uses a distinct wording
"expected n or more" instead of "expected n" because of the starred
expression.
### Location
The diagnostic location is the target expression that's being unpacked.
For nested targets, the location will be the nested expression. For
example:
```py
(a, (b, c), d) = (1, (2, 3, 4), 5)
# ^^^^^^
# red-knot: Too many values to unpack (expected 2, got 3) [lint:invalid-assignment]
```
For future improvements, it would be useful to show the context for why
this unpacking failed. For example, for why the expected number of
targets is `n`, we can highlight the relevant elements for the value
expression.
In the **ecosystem**, **Pyright** uses the target expressions for
location while **mypy** uses the value expression for the location. For
example:
```py
if 1:
# mypy: Too many values to unpack (2 expected, 3 provided) [misc]
# vvvvvvvvv
a, b = (1, 2, 3)
# ^^^^
# Pyright: Expression with type "tuple[Literal[1], Literal[2], Literal[3]]" cannot be assigned to target tuple
# Type "tuple[Literal[1], Literal[2], Literal[3]]" is incompatible with target tuple
# Tuple size mismatch; expected 2 but received 3 [reportAssignmentType]
# red-knot: Too many values to unpack (expected 2, got 3) [lint:invalid-assignment]
```
## Test Plan
Update existing test cases TODO with the error directives.
Fixes: #15176
## Summary
Neither of these rules make any sense in stub files. Technically TC007
should already not have triggered, due to the typing only context of the
binding, but it's better to be explicit.
Keeping TC008 enabled on the other hand makes sense to me, although we
could probably be more aggressive with unquoting in a typing runtime
context.
## Test Plan
`cargo nextest run`
## Summary
Ref:
3533d7f5b4 (r150651102)
This PR removes the `Ranged` implementation on `DefinitionKind` and
instead uses a method called `target_range` to avoid any confusion about
what range this is for i.e., it's not the range of the node that
represents the definition.
## Summary
Related to #13773
This PR adds support for unpacking `for` statement targets.
This involves updating the `value` field in the `Unpack` target to use
an enum which specifies the "where did the value expression came from?".
This is because for an iterable expression, we need to unpack the
iterator type while for assignment statement we need to unpack the value
type itself. And, this needs to be done in the unpack query.
### Question
One of the ways unpacking works in `for` statement is by looking at the
union of the types because if the iterable expression is a tuple then
the iterator type will be union of all the types in the tuple. This
means that the test cases that will test the unpacking in `for`
statement will also implicitly test the unpacking union logic. I was
wondering if it makes sense to merge these cases and only add the ones
that are specific to the union unpacking or for statement unpacking
logic.
## Test Plan
Add test cases involving iterating over a tuple type. I've intentionally
left out certain cases for now and I'm curious to know any thoughts on
the above query.
## Summary
Closes#14975 by modifying the docstring of the InvalidPyprojectToml
rule. Previously the docs were incorrectly stating that author name and
emails must be individual items in the authors list, rather than part of
a single object for each respective author.
## Test Plan
This was a docstring change, no tests needed.
## Summary
This changeset adds support for precise type-inference and
boundness-handling of definitions inside control-flow branches with
statically-known conditions, i.e. test-expressions whose truthiness we
can unambiguously infer as *always false* or *always true*.
This branch also includes:
- `sys.platform` support
- statically-known branches handling for Boolean expressions and while
loops
- new `target-version` requirements in some Markdown tests which were
now required due to the understanding of `sys.version_info` branches.
closes#12700closes#15034
## Performance
### `tomllib`, -7%, needs to resolve one additional module (sys)
| Command | Mean [ms] | Min [ms] | Max [ms] | Relative |
|:---|---:|---:|---:|---:|
| `./red_knot_main --project /home/shark/tomllib` | 22.2 ± 1.3 | 19.1 |
25.6 | 1.00 |
| `./red_knot_feature --project /home/shark/tomllib` | 23.8 ± 1.6 | 20.8
| 28.6 | 1.07 ± 0.09 |
### `black`, -6%
| Command | Mean [ms] | Min [ms] | Max [ms] | Relative |
|:---|---:|---:|---:|---:|
| `./red_knot_main --project /home/shark/black` | 129.3 ± 5.1 | 119.0 |
137.8 | 1.00 |
| `./red_knot_feature --project /home/shark/black` | 136.5 ± 6.8 | 123.8
| 147.5 | 1.06 ± 0.07 |
## Test Plan
- New Markdown tests for the main feature in
`statically-known-branches.md`
- New Markdown tests for `sys.platform`
- Adapted tests for `EllipsisType`, `Never`, etc
## Summary
This PR fixes an issue where Ruff's `D403` rule
(`first-word-uncapitalized`) was not detecting some single-word edge
cases that are picked up by `pydocstyle`.
The change involves extracting the first word of the docstring by
identifying the first whitespace character. This is consistent with
`pydocstyle` which uses `.split()` - see
8d0cdfc93e/src/pydocstyle/checker.py (L581C13-L581C64)
## Example
Here is a playground example -
https://play.ruff.rs/eab9ea59-92cf-4e44-b1a9-b54b7f69b178
```py
def example1():
"""foo"""
def example2():
"""foo
Hello world!
"""
def example3():
"""foo bar
Hello world!
"""
def example4():
"""
foo
"""
def example5():
"""
foo bar
"""
```
`pydocstyle` detects all five cases:
```bash
$ pydocstyle test.py --select D403
dev/test.py:2 in public function `example1`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:5 in public function `example2`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:11 in public function `example3`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:17 in public function `example4`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:22 in public function `example5`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
```
Ruff (`0.8.4`) fails to catch example2 and example4.
## Test Plan
* Added two new test cases to cover the previously missed single-word
docstring cases.
## Summary
Refer:
https://github.com/astral-sh/ruff/issues/13773#issuecomment-2548020368
This PR adds support for unpacking union types.
Unpacking a union type requires us to first distribute the types for all
the targets that are involved in an unpacking. For example, if there are
two targets and a union type that needs to be unpacked, each target will
get a type from each element in the union type.
For example, if the type is `tuple[int, int] | tuple[int, str]` and the
target has two elements `(a, b)`, then
* The type of `a` will be a union of `int` and `int` which are at index
0 in the first and second tuple respectively which resolves to an `int`.
* Similarly, the type of `b` will be a union of `int` and `str` which
are at index 1 in the first and second tuple respectively which will be
`int | str`.
### Refactors
There are couple of refactors that are added in this PR:
* Add a `debug_assertion` to validate that the unpack target is a list
or a tuple
* Add a separate method to handle starred expression
## Test Plan
Update `unpacking.md` with additional test cases that uses union types.
This is done using parameter type hints style.
## Summary
This PR adds initial support for `type: ignore`. It doesn't do anything
fancy yet like:
* Detecting invalid type ignore comments
* Detecting type ignore comments that are part of another suppression
comment: `# fmt: skip # type: ignore`
* Suppressing specific lints `type: ignore [code]`
* Detecting unsused type ignore comments
* ...
The goal is to add this functionality in separate PRs.
## Test Plan
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Fix#11482. Applies
https://github.com/adamchainz/flake8-comprehensions/pull/205 to ruff.
`C416` should be skipped if comprehension contains unpacking. Here's an
example:
```python
list_of_lists = [[1, 2], [3, 4]]
# ruff suggests `list(list_of_lists)` here, but that would change the result.
# `list(list_of_lists)` is not `[(1, 2), (3, 4)]`
a = [(x, y) for x, y in list_of_lists]
# This is equivalent to `list(list_of_lists)`
b = [x for x in list_of_lists]
```
## Test Plan
<!-- How was it tested? -->
Existing checks
---------
Signed-off-by: harupy <hkawamura0130@gmail.com>
## Summary
resolves#14883
This PR removes the known limitation section in the documentation of
`eq-without-hash`. That is not actually a limitation as a subclass
overriding the `__eq__` method would have its `__hash__` set to `None`
implicitly. The user should explicitly inherit the `__hash__` method
from the parent class.
## Test Plan
<img width="619" alt="Screenshot 2024-12-20 at 2 02 47 PM"
src="https://github.com/user-attachments/assets/552defcd-25e1-4153-9ab9-e5b9d5fbe8cc"
/>
---------
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
## Summary
Airflow 3.0 removes various deprecated functions, members, modules, and
other values. They have been deprecated in 2.x, but the removal causes
incompatibilities that we want to detect. This PR deprecates the
following names and add a function for removed methods
* `airflow.datasets.manager.DatasetManager.register_dataset_change` →
`airflow.assets.manager.AssetManager.register_asset_change`
* `airflow.datasets.manager.DatasetManager.create_datasets` →
`airflow.assets.manager.AssetManager.create_assets`
* `airflow.datasets.manager.DatasetManager.notify_dataset_created` →
`airflow.assets.manager.AssetManager.notify_asset_created`
* `airflow.datasets.manager.DatasetManager.notify_dataset_changed` →
`airflow.assets.manager.AssetManager.notify_asset_changed`
* `airflow.datasets.manager.DatasetManager.notify_dataset_alias_created`
→ `airflow.assets.manager.AssetManager.notify_asset_alias_created`
*
`airflow.providers.amazon.auth_manager.aws_auth_manager.AwsAuthManager.is_authorized_dataset`
→
`airflow.providers.amazon.auth_manager.aws_auth_manager.AwsAuthManager.is_authorized_asset`
* `airflow.lineage.hook.HookLineageCollector.create_dataset` →
`airflow.lineage.hook.HookLineageCollector.create_asset`
* `airflow.lineage.hook.HookLineageCollector.add_input_dataset` →
`airflow.lineage.hook.HookLineageCollector.add_input_asset`
* `airflow.lineage.hook.HookLineageCollector.add_output_dataset` →
`airflow.lineage.hook.HookLineageCollector.dd_output_asset`
* `airflow.lineage.hook.HookLineageCollector.collected_datasets` →
`airflow.lineage.hook.HookLineageCollector.collected_assets`
*
`airflow.providers_manager.ProvidersManager.initialize_providers_dataset_uri_resources`
→
`airflow.providers_manager.ProvidersManager.initialize_providers_asset_uri_resources`
## Test Plan
A test fixture is included in the PR.
When confronted with `raise from exc` the parser will now create a
`StmtRaise` that has `None` for the exception and `exc` for the cause.
Before, the parser created a `StmtRaise` with `from` for the exception,
no cause, and a spurious expression `exc` afterwards.
## Summary
A follow up PR on https://github.com/astral-sh/ruff/issues/14991
Ruff ignores hardcoded passwords for typed variables. Add a rule to
catch passwords in typed code bases
## Test Plan
Includes 2 more test typed variables
We have a handy `to_meta_type` that does the right thing for class
instances, and also works for all of the other types that are “instances
of” something. Unless I'm missing something, this should let us get rid
of the catch-all clause in one fell swoop.
cf #14548
## Summary
I'm currently on the fence about landing the #14760 PR because it's
unclear how we'd support tracking used and unused suppression comments
in a performant way:
* Salsa adds an "untracked" dependency to every query reading
accumulated values. This has the effect that the query re-runs on every
revision. For example, a possible future query
`unused_suppression_comments(db, file)` would re-run on every
incremental change and for every file. I don't expect the operation
itself to be expensive, but it all adds up in a project with 100k+ files
* Salsa collects the accumulated values by traversing the entire query
dependency graph. It can skip over sub-graphs if it is known that they
contain no accumulated values. This makes accumulators a great tool for
when they are rare; diagnostics are a good example. Unfortunately,
suppressions are more common, and they often appear in many different
files, making the "skip over subgraphs" optimization less effective.
Because of that, I want to wait to adopt salsa accumulators for type
check diagnostics (we could start using them for other diagnostics)
until we have very specific reasons that justify regressing incremental
check performance.
This PR does a "small" refactor that brings us closer to what I have in
#14760 but without using accumulators. To emit a diagnostic, a method
needs:
* Access to the db
* Access to the currently checked file
This PR introduces a new `InferContext` that holds on to the db, the
current file, and the reported diagnostics. It replaces the
`TypeCheckDiagnosticsBuilder`. We pass the `InferContext` instead of the
`db` to methods that *might* emit diagnostics. This simplifies some of
the `Outcome` methods, which can now be called with a context instead of
a `db` and the diagnostics builder. Having the `db` and the file on a
single type like this would also be useful when using accumulators.
This PR doesn't solve the issue that the `Outcome` types feel somewhat
complicated nor that it can be annoying when you need to report a
`Diagnostic,` but you don't have access to an `InferContext` (or the
file). However, I also believe that accumulators won't solve these
problems because:
* Even with accumulators, it's necessary to have a reference to the file
that's being checked. The struggle would be to get a reference to that
file rather than getting a reference to `InferContext`.
* Users of the `HasTy` trait (e.g., a linter) don't want to bother
getting the `File` when calling `Type::return_ty` because they aren't
interested in the created diagnostics. They just want to know what
calling the current expression would return (and if it even is a
callable). This is what the different methods of `Outcome` enable today.
I can ask for the return type without needing extra data that's only
relevant for emitting a diagnostic.
A shortcoming of this approach is that it is now a bit confusing when to
pass `db` and when an `InferContext`. An option is that we'd make the
`file` on `InferContext` optional (it won't collect any diagnostics if
`None`) and change all methods on `Type` to take `InferContext` as the
first argument instead of a `db`. I'm interested in your opinion on
this.
Accumulators are definitely harder to use incorrectly because they
remove the need to merge the diagnostics explicitly and there's no risk
that we accidentally merge the diagnostics twice, resulting in
duplicated diagnostics. I still value performance more over making our
life slightly easier.
Closes#14000
## Summary
For typing context bindings we know that they won't be available at
runtime. We shouldn't recommend a fix, that will result in name errors
at runtime.
## Test Plan
`cargo nextest run`
This tweaks the new semantics from #15026 a bit when a symbol could be
interpreted both as an attribute and a submodule of a package. For
`from...import`, we should actually prioritize the attribute, because of
how the statement itself is implemented [1].
> 1. check if the imported module has an attribute by that name
> 2. if not, attempt to import a submodule with that name and then check
the imported module again for that attribute
[1] https://docs.python.org/3/reference/simple_stmts.html#the-import-statement
## Summary
Fixes#14550.
Add `AlwaysTruthy` and `AlwaysFalsy` types, representing the set of objects whose `__bool__` method can only ever return `True` or `False`, respectively, and narrow `if x` and `if not x` accordingly.
## Test Plan
- New Markdown test for truthiness narrowing `narrow/truthiness.md`
- unit tests in `types.rs` and `builders.rs` (`cargo test --package
red_knot_python_semantic --lib -- types`)
## Summary
Fixes https://github.com/astral-sh/ruff/issues/15027
The `MemoryFileSystem::write_file` API automatically creates
non-existing ancestor directoryes
but we failed to update the status of the now created ancestor
directories in the `Files` data structure.
## Test Plan
Tested that the case in https://github.com/astral-sh/ruff/issues/15027
now passes regardless of whether the *Simple* case is commented out or
not
Fixes#15012.
```python
def f():
# panics when the code can't find the loop variable
values = [1, 2, 3]
result = []
for i in values:
result.append(i + 1)
del i
```
I'm not sure exactly why this test case panics, but I suspect the `del
i` removes the binding from the semantic model's symbols.
I changed the code to search for the correct binding by directly
iterating through the bindings. Since we know exactly which binding we
want, this should find the loop variable without any complications.
Micha Reiser
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