Commit graph

240 commits

Author SHA1 Message Date
konsti
e02d76f070
Use insta_cmd (#6737) 2023-09-05 12:21:27 +00:00
Nicholas Grisafi
40ee4909b5
Added argfile test and documentation (#7138)
Co-authored-by: konsti <konstin@mailbox.org>
2023-09-05 11:13:58 +02:00
Charlie Marsh
10a8e4a225
Remove output-file and target-version from formatter CLI (#7135) 2023-09-05 09:04:18 +00:00
konsti
0465b03282
Better formatter CLI verbose output (#7129) 2023-09-05 00:25:16 +02:00
Dhruv Manilawala
1067261a55
Make SourceKind a required parameter (#7013) 2023-09-04 07:45:59 +00:00
Micha Reiser
93ca8ebbc0
Formatter: Detect line endings (#7054) 2023-09-04 08:09:31 +02:00
Charlie Marsh
2f3a950f6f
Bump version to 0.0.287 (#7038) 2023-09-01 17:32:26 +01:00
Charlie Marsh
afcd00da56
Create ruff_notebook crate (#7039)
## Summary

This PR moves `ruff/jupyter` into its own `ruff_notebook` crate. Beyond
the move itself, there were a few challenges:

1. `ruff_notebook` relies on the source map abstraction. I've moved the
source map into `ruff_diagnostics`, since it doesn't have any
dependencies on its own and is used alongside diagnostics.
2. `ruff_notebook` has a couple tests for end-to-end linting and
autofixing. I had to leave these tests in `ruff` itself.
3. We had code in `ruff/jupyter` that relied on Python lexing, in order
to provide a more targeted error message in the event that a user saves
a `.py` file with a `.ipynb` extension. I removed this in order to avoid
a dependency on the parser, it felt like it wasn't worth retaining just
for that dependency.

## Test Plan

`cargo test`
2023-09-01 13:56:44 +00:00
Charlie Marsh
08e246764f
Refactor ruff_cli's run method to return on each branch (#7040)
## Summary

I think the fallthrough here for some branches is a little confusing.
Now each branch either runs a command that returns `Result<ExitStatus>`,
or runs a command that returns `Result<()>` and then explicitly returns
`Ok(ExitStatus::SUCCESS)`.
2023-09-01 14:15:38 +01:00
Charlie Marsh
60132da7bb
Add a NotebookError type to avoid returning Diagnostics on error (#7035)
## Summary

This PR refactors the error-handling cases around Jupyter notebooks to
use errors rather than `Box<Diagnostics>`, which creates some oddities
in the downstream handling. So, instead of formatting errors as
diagnostics _eagerly_ (in the notebook methods), we now return errors
and convert those errors to diagnostics at the last possible moment (in
`diagnostics.rs`). This is more ergonomic, as errors can be composed and
reported-on in different ways, whereas diagnostics require a `Printer`,
etc.

See, e.g.,
https://github.com/astral-sh/ruff/pull/7013#discussion_r1311136301.

## Test Plan

Ran `cargo run` over a Python file labeled with a `.ipynb` suffix, and
saw:

```
foo.ipynb:1:1: E999 SyntaxError: Expected a Jupyter Notebook, which must be internally stored as JSON, but found a Python source file: expected value at line 1 column 1
```
2023-09-01 11:08:05 +00:00
Zanie Blue
96a9717c1a
Add hidden --preview / --no-preview options to ruff check (#7009)
Per discussion at https://github.com/astral-sh/ruff/discussions/6998

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## Summary

<!-- What's the purpose of the change? What does it do, and why? -->

Adds a `--preview` and `--no-preview` option to the CLI for `ruff check`
and corresponding settings. The CLI options are hidden for now.

Available in the settings as `preview = true` or `preview = false`.

Does not include environment variable configuration, although we may add
it in the future.

## Test Plan

<!-- How was it tested? -->

`cargo build`

Future work will build on this setting, such as toggling the mode during
a test.
2023-08-31 09:51:59 -05:00
Charlie Marsh
5de95d7054
Reuse FormatResult and FormatterIterationError in format_stdin.rs (#6985)
## Summary

Ensures that we use the same error types and messages. Also renames
those struct to `FormatCommand*` for consistency, and removes the
`FormatCommandResult::Skipped` variant in favor of skipping in the
iterator directly.
2023-08-29 17:41:53 +00:00
Charlie Marsh
8d1610d960
Implement Display on formatter structs (#6983)
Feedback from
https://github.com/astral-sh/ruff/pull/6948#discussion_r1308260021.
2023-08-29 16:57:26 +00:00
Charlie Marsh
fad23bbe60
Add a --check flag to the formatter CLI (#6982)
## Summary

Returns an exit code of 1 if any files would be reformatted:

```
ruff on  charlie/format-check:main [$?⇡] is 📦 v0.0.286 via 🐍 v3.11.2 via 🦀 v1.72.0
❯ cargo run -p ruff_cli -- format foo.py --check
   Compiling ruff_cli v0.0.286 (/Users/crmarsh/workspace/ruff/crates/ruff_cli)
    Finished dev [unoptimized + debuginfo] target(s) in 1.69s
     Running `target/debug/ruff format foo.py --check`
warning: `ruff format` is a work-in-progress, subject to change at any time, and intended only for experimentation.
1 file would be reformatted
ruff on  charlie/format-check:main [$?⇡] is 📦 v0.0.286 via 🐍 v3.11.2 via 🦀 v1.72.0 took 2s
❯ echo $?
1
```

Closes #6966.
2023-08-29 12:40:00 -04:00
Charlie Marsh
25c374856a
Move stdin formatting to its own command file (#6981)
## Summary

This is similar to `commands::check` vs. `commands::check_stdin`, and
gets the logic out of the parent file (`lib.rs`). It also ensures that
we avoid formatting files that should be excluded when `--force-exclude`
is provided.
2023-08-29 16:06:10 +00:00
Charlie Marsh
34221346c1
Rename run.rs command to check.rs (#6980)
The CLI command is called "check", so this is more consistent (and
consistent with the pattern used in other commands).
2023-08-29 15:52:06 +00:00
Charlie Marsh
1439bb592e
Report number of changed files on the format CLI (#6948)
## Summary

Very basic summary:

<img width="962" alt="Screen Shot 2023-08-28 at 1 17 37 PM"
src="53537aca-7579-44d8-855b-f4553affae50">

If you run with `--verbose`, we'll also show you the timing:

<img width="962" alt="Screen Shot 2023-08-28 at 1 17 58 PM"
src="63cbd13e-9462-4e49-b3a3-c6663a7ad41c">
2023-08-28 18:42:31 -04:00
Charlie Marsh
ec575188c4
Narrow the supported options on the format CLI (#6944)
## Summary

Ensures that we only show supported options:

<img width="1228" alt="Screen Shot 2023-08-28 at 11 03 16 AM"
src="50fb7595-dc30-43d2-a7e4-c0103acc15b9">

For now, I'm not super focused on DRYing up the CLI.
2023-08-28 15:28:22 +00:00
Charlie Marsh
58f5f27dc3
Add TOML files to SourceType (#6929)
## Summary

This PR adds a higher-level enum (`SourceType`) around `PySourceType` to
allow us to use the same detection path to handle TOML files. Right now,
we have ad hoc `is_pyproject_toml` checks littered around, and some
codepaths are omitting that logic altogether (like `add_noqa`). Instead,
we should always be required to check the source type and handle TOML
files as appropriate.

This PR will also help with our pre-commit capabilities. If we add
`toml` to pre-commit (to support `pyproject.toml`), pre-commit will
start to pass _other_ files to Ruff (along with `poetry.lock` and
`Pipfile` -- see
[identify](b59996304f/identify/extensions.py (L355))).
By detecting those files and handling those cases, we avoid attempting
to parse them as Python files, which would lead to pre-commit errors.
(We tried to add `toml` to pre-commit here
(https://github.com/astral-sh/ruff-pre-commit/pull/44), but had to
revert here (https://github.com/astral-sh/ruff-pre-commit/pull/45) as it
led to the pre-commit hook attempting to parse `poetry.lock` files as
Python files.)
2023-08-28 15:01:48 +00:00
konsti
e615870659
Unify line size settings between ruff and the formatter (#6873) 2023-08-28 06:44:56 +00:00
Micha Reiser
a6aa16630d
Move Configuration to ruff_workspace crate (#6920) 2023-08-28 06:21:35 +00:00
Charlie Marsh
6bc1ba6d62
Use stdin for formatter when --stdin-filename is provided (#6926)
## Summary

Just making the formatter CLI more consistent with the linter -- e.g.,
we now use stdin on invocations like `cat foo.py | cargo run -p ruff_cli
-- format -- --stdin-filename=foo.py`, instead of _only_ relying on the
`-` file (and use the same helper as the linter to facilitate this).
2023-08-27 20:32:18 +00:00
Charlie Marsh
cd47368ae4
Use consistent formatting for user-facing formatter errors (#6925)
## Summary

This PR changes the alpha formatter CLI to use the same format for
errors as the linter, e.g.:

<img width="868" alt="Screen Shot 2023-08-27 at 4 03 30 PM"
src="9f3dea37-593b-4788-a0c0-e64bcf0d0560">
2023-08-27 20:22:06 +00:00
Charlie Marsh
a871714705
Collect result in format CLI (#6924) 2023-08-27 20:02:18 +00:00
konsti
c2413dcd2c
Add prototype of ruff format for projects (#6871)
**Summary** Add recursive formatting based on `ruff check` file
discovery for `ruff format`, as a prototype for the formatter alpha.
This allows e.g. `format ../projects/django/`. It's still lacking
support for any settings except line length.

Note just like the existing `ruff format` this will become part of the
production build, i.e. you'll be able to use it - hidden by default and
with a prominent warning - with `ruff format .` after the next release.

Error handling works in my manual tests (the colors do also work):

```
$  target/debug/ruff format scripts/
warning: `ruff format` is a work-in-progress, subject to change at any time, and intended for internal use only.
```
(the above changes `add_rule.py` where we have the wrong bin op
breaking)

```
$ target/debug/ruff format ../projects/django/
warning: `ruff format` is a work-in-progress, subject to change at any time, and intended for internal use only.
Failed to format /home/konsti/projects/django/tests/test_runner_apps/tagged/tests_syntax_error.py: source contains syntax errors: ParseError { error: UnrecognizedToken(Name { name: "syntax_error" }, None), offset: 131, source_path: "<filename>" }
```

```
$ target/debug/ruff format a
warning: `ruff format` is a work-in-progress, subject to change at any time, and intended for internal use only.
Failed to read /home/konsti/ruff/a/d.py: Permission denied (os error 13)
```

**Test Plan** Missing! I'm not sure if it's worth building tests at this
stage or how they should look like.
2023-08-27 19:12:18 +00:00
Micha Reiser
3f3494ad44
Implement ConfigProcessor on non-ref type (#6915) 2023-08-27 15:03:11 +02:00
Charlie Marsh
91880b8273
Bump version to 0.0.286 (#6876) 2023-08-25 14:59:26 -04:00
Dhruv Manilawala
d1f07008f7
Rename Notebook related symbols (#6862)
This PR renames the following symbols:

* `PySourceType::Jupyter` -> `PySourceType::Ipynb`
* `SourceKind::Jupyter` -> `SourceKind::IpyNotebook`
* `JupyterIndex` -> `NotebookIndex`
2023-08-25 11:40:54 +05:30
konsti
aafde6db28
Remove some indexing (#6728)
**Summary** A common pattern in the code used to be
```rust
if statements.len() != 1 {
    return;
}
use_single_entry(statements[0])?;
```
which can be better expressed as
```rust
let [statement] = statements else {
    return;
};
use_single_entry(statements)?;
```

Direct indexing can cause panics if you don't manually take care of
checking the length, while matching (such as if-let or let-else) can
never panic.

This isn't a complete refactor, i've just removed some of the obvious
cases. I've specifically looked for `.len() != 1` and fixed those.

**Test Plan** No functional changes
2023-08-21 16:56:15 +02:00
Micha Reiser
ea72d5feba
Refactor SourceKind to store file content (#6640) 2023-08-18 13:45:38 +00:00
Charlie Marsh
2aeb27334d
Avoid cloning source code multiple times (#6629)
## Summary

In working on https://github.com/astral-sh/ruff/pull/6628, I noticed
that we clone the source code contents, potentially multiple times,
prior to linting. The issue is that `SourceKind::Python` takes a
`String`, so we first have to provide it with a `String`. In the stdin
case, that means cloning. However, on top of this, we then have to clone
`source_kind.contents()` because `SourceKind` gets mutated. So for
stdin, we end up cloning twice. For non-stdin, we end up cloning once,
but unnecessarily (since the _contents_ don't get mutated, only the
kind).

This PR removes the `String` from `source_kind`, instead requiring that
we parse it out elsewhere. It reduces the number of clones down to 1 for
Jupyter Notebooks, and zero otherwise.
2023-08-18 09:32:18 -04:00
Zanie Blue
5892c691ea
Bump version to 0.0.285 (#6660)
Requires
- https://github.com/astral-sh/ruff/pull/6655
- https://github.com/astral-sh/ruff/pull/6657
2023-08-17 15:46:28 -05:00
Charlie Marsh
98b9f2e705
Respect .ipynb and .pyi sources when linting from stdin (#6628)
## Summary

When running Ruff from stdin, we were always falling back to the default
source type, even if the user specified a path (as is the case when
running from the LSP). This PR wires up the source type inference, which
means we now get the expected result when checking `.pyi` and `.ipynb`
files.

Closes #6627.

## Test Plan

Verified that `cat
crates/ruff/resources/test/fixtures/jupyter/valid.ipynb | cargo run -p
ruff_cli -- --force-exclude --no-cache --no-fix --isolated --select ALL
--stdin-filename foo.ipynb -` yielded the expected results (and differs
from the errors you get if you omit the filename).

Verified that `cat foo.pyi | cargo run -p ruff_cli -- --force-exclude
--no-cache --no-fix --format json --isolated --select TCH
--stdin-filename path/to/foo.pyi -` yielded no errors.
2023-08-16 20:33:59 +00:00
Charlie Marsh
7f7df852e8
Remove some extraneous newlines in Cargo.toml (#6577) 2023-08-14 23:39:41 +00:00
Zanie Blue
3ecd263b4d
Bump version to 0.0.284 (#6453)
## What's Changed

This release fixes a few bugs, notably the previous release announced a
breaking change where the default target
Python version changed from 3.10 to 3.8 but it was not applied. Thanks
to @rco-ableton for fixing this in
https://github.com/astral-sh/ruff/pull/6444

### Bug Fixes
* Do not trigger `S108` if path is inside `tempfile.*` call by
@dhruvmanila in https://github.com/astral-sh/ruff/pull/6416
* Do not allow on zero tab width by @tjkuson in
https://github.com/astral-sh/ruff/pull/6429
* Fix false-positive in submodule resolution by @charliermarsh in
https://github.com/astral-sh/ruff/pull/6435

## New Contributors
* @rco-ableton made their first contribution in
https://github.com/astral-sh/ruff/pull/6444

**Full Changelog**:
https://github.com/astral-sh/ruff/compare/v0.0.283...v0.0.284
2023-08-09 13:32:33 -05:00
Zanie Blue
fe9590f39f
Bump version number to 0.0.283 (#6407) 2023-08-08 12:31:30 -05:00
Dhruv Manilawala
32fa05765a
Use Jupyter mode while parsing Notebook files (#5552)
## Summary

Enable using the new `Mode::Jupyter` for the tokenizer/parser to parse
Jupyter line magic tokens.

The individual call to the lexer i.e., `lex_starts_at` done by various
rules should consider the context of the source code (is this content
from a Jupyter Notebook?). Thus, a new field `source_type` (of type
`PySourceType`) is added to `Checker` which is being passed around as an
argument to the relevant functions. This is then used to determine the
`Mode` for the lexer.

## Test Plan

Add new test cases to make sure that the magic statement is considered
while generating the diagnostic and autofix:
* For `I001`, if there's a magic statement in between two import blocks,
they should be sorted independently

fixes: #6090
2023-08-05 00:32:07 +00:00
konsti
1031bb6550
Formatter: Add SourceType to context to enable special formatting for stub files (#6331)
**Summary** This adds the information whether we're in a .py python
source file or in a .pyi stub file to enable people working on #5822 and
related issues.

I'm not completely happy with `Default` for something that depends on
the input.

**Test Plan** None, this is currently unused, i'm leaving this to first
implementation of stub file specific formatting.

---------

Co-authored-by: Micha Reiser <micha@reiser.io>
2023-08-04 11:52:26 +00:00
konsti
1df7e9831b
Replace .map_or(false, $closure) with .is_some_and(closure) (#6244)
**Summary**
[Option::is_some_and](https://doc.rust-lang.org/stable/std/option/enum.Option.html#method.is_some_and)
and
[Result::is_ok_and](https://doc.rust-lang.org/std/result/enum.Result.html#method.is_ok_and)
are new methods is rust 1.70. I find them way more readable than
`.map_or(false, ...)`.

The changes are `s/.map_or(false,/.is_some_and(/g`, then manually
switching to `is_ok_and` where the value is a Result rather than an
Option.

**Test Plan** n/a^
2023-08-01 19:29:42 +02:00
Charlie Marsh
743118ae9a
Bump version to 0.0.282 (#6241) 2023-08-01 13:21:33 +00:00
konsti
e52b636da0
Log configuration in ruff_dev (#6193)
**Summary** This includes two changes:
 * Allow setting `-v` in `ruff_dev`, using the `ruff_cli` implementation
 * `debug!` which ruff configuration strategy was used

This is a byproduct of debugging #6187.

**Test Plan** n/a
2023-07-31 17:52:38 +00:00
Charlie Marsh
dbd60b2cf5
Bump version to 0.0.281 (#6195) 2023-07-31 13:21:43 -04:00
Charlie Marsh
4231ed2fc3
Skip partial duplicates when applying multi-edit fixes (#6144)
## Summary

Right now, if we have two fixes that have an overlapping edit, but not
an _identical_ set of edits, they'll conflict, causing us to do another
linter traversal. Here, I've enabled the fixer to support partially
overlapping edits, which (as an example) let's us greatly reduce the
number of iterations required in the test suite.

The most common case here is that in which a bunch of edits need to
import some symbol, and then use that symbol, but in different ways. In
that case, all edits will have a common fix (to import the symbol), but
deviate in some way. With this change, we can do all of those edits in
one pass.

Note that the simplest way to enable this was to store sorted edits on
`Fix`. We don't allow modifying the edits on `Fix` once it's
constructed, so this is an easy change, and allows us to avoid a bunch
of clones and traversals later on.

Closes #5800.
2023-07-29 12:11:57 +00:00
Dhruv Manilawala
3c99fbf808
Implement --diff for Jupyter Notebooks (#6149)
## Summary

Implement `--diff` for Jupyter Notebooks

## Test Plan

1. Use `crates/ruff/resources/test/fixtures/jupyter/isort.ipynb` as a
test case
and add a markdown cell in between the code cells to check that the diff
   outputs the correct cell index.
2. Run the command:
`cargo run --bin ruff --package ruff_cli -- check --no-cache --isolated
--select=ALL crates/ruff/resources/test/fixtures/jupyter/isort.ipynb
--fix --diff`

<details><summary>Example output:</summary>
<p>

```diff
--- /Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 0
+++ /Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 0
@@ -1,3 +0,0 @@
-from pathlib import Path
-import random
-import math
--- /Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 4
+++ /Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 4
@@ -1,5 +1,3 @@
-from typing import Any
-import collections
 # Newline should be added here
 def foo():
     pass

--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 8
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 8
@@ -1,8 +1,7 @@
 import pprint
 import tempfile
 
-from IPython import display
 import matplotlib.pyplot as plt
-
 import tensorflow as tf
-import tensorflow_datasets as tfds
+import tensorflow_datasets as tfds
+from IPython import display
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 10
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 10
@@ -1,5 +1,4 @@
 import tensorflow_models as tfm
 
 # These are not in the tfm public API for v2.9. They will be available in v2.10
-from official.vision.serving import export_saved_model_lib
-import official.core.train_lib
+from official.vision.serving import export_saved_model_lib
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 13
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 13
@@ -1,5 +1,5 @@
-exp_config = tfm.core.exp_factory.get_exp_config('resnet_imagenet')
-tfds_name = 'cifar10'
+exp_config = tfm.core.exp_factory.get_exp_config("resnet_imagenet")
+tfds_name = "cifar10"
 ds,ds_info = tfds.load(
 tfds_name,
 with_info=True)
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 15
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 15
@@ -6,12 +6,12 @@
 # Configure training and testing data
 batch_size = 128
 
-exp_config.task.train_data.input_path = ''
+exp_config.task.train_data.input_path = ""
 exp_config.task.train_data.tfds_name = tfds_name
-exp_config.task.train_data.tfds_split = 'train'
+exp_config.task.train_data.tfds_split = "train"
 exp_config.task.train_data.global_batch_size = batch_size
 
-exp_config.task.validation_data.input_path = ''
+exp_config.task.validation_data.input_path = ""
 exp_config.task.validation_data.tfds_name = tfds_name
-exp_config.task.validation_data.tfds_split = 'test'
+exp_config.task.validation_data.tfds_split = "test"
 exp_config.task.validation_data.global_batch_size = batch_size
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 17
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 17
@@ -1,16 +1,16 @@
 logical_device_names = [logical_device.name for logical_device in tf.config.list_logical_devices()]
 
-if 'GPU' in ''.join(logical_device_names):
-  print('This may be broken in Colab.')
-  device = 'GPU'
-elif 'TPU' in ''.join(logical_device_names):
-  print('This may be broken in Colab.')
-  device = 'TPU'
+if "GPU" in "".join(logical_device_names):
+  print("This may be broken in Colab.")
+  device = "GPU"
+elif "TPU" in "".join(logical_device_names):
+  print("This may be broken in Colab.")
+  device = "TPU"
 else:
-  print('Running on CPU is slow, so only train for a few steps.')
-  device = 'CPU'
+  print("Running on CPU is slow, so only train for a few steps.")
+  device = "CPU"
 
-if device=='CPU':
+if device=="CPU":
   train_steps = 20
   exp_config.trainer.steps_per_loop = 5
 else:
@@ -20,9 +20,9 @@
 exp_config.trainer.summary_interval = 100
 exp_config.trainer.checkpoint_interval = train_steps
 exp_config.trainer.validation_interval = 1000
-exp_config.trainer.validation_steps =  ds_info.splits['test'].num_examples // batch_size
+exp_config.trainer.validation_steps =  ds_info.splits["test"].num_examples // batch_size
 exp_config.trainer.train_steps = train_steps
-exp_config.trainer.optimizer_config.learning_rate.type = 'cosine'
+exp_config.trainer.optimizer_config.learning_rate.type = "cosine"
 exp_config.trainer.optimizer_config.learning_rate.cosine.decay_steps = train_steps
 exp_config.trainer.optimizer_config.learning_rate.cosine.initial_learning_rate = 0.1
 exp_config.trainer.optimizer_config.warmup.linear.warmup_steps = 100
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 21
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 21
@@ -1,14 +1,14 @@
 logical_device_names = [logical_device.name for logical_device in tf.config.list_logical_devices()]
 
 if exp_config.runtime.mixed_precision_dtype == tf.float16:
-    tf.keras.mixed_precision.set_global_policy('mixed_float16')
+    tf.keras.mixed_precision.set_global_policy("mixed_float16")
 
-if 'GPU' in ''.join(logical_device_names):
+if "GPU" in "".join(logical_device_names):
   distribution_strategy = tf.distribute.MirroredStrategy()
-elif 'TPU' in ''.join(logical_device_names):
+elif "TPU" in "".join(logical_device_names):
   tf.tpu.experimental.initialize_tpu_system()
-  tpu = tf.distribute.cluster_resolver.TPUClusterResolver(tpu='/device:TPU_SYSTEM:0')
+  tpu = tf.distribute.cluster_resolver.TPUClusterResolver(tpu="/device:TPU_SYSTEM:0")
   distribution_strategy = tf.distribute.experimental.TPUStrategy(tpu)
 else:
-  print('Warning: this will be really slow.')
+  print("Warning: this will be really slow.")
   distribution_strategy = tf.distribute.OneDeviceStrategy(logical_device_names[0])
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 23
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 23
@@ -1,5 +1,3 @@
 with distribution_strategy.scope():
   model_dir = tempfile.mkdtemp()
   task = tfm.core.task_factory.get_task(exp_config.task, logging_dir=model_dir)
-
-#  tf.keras.utils.plot_model(task.build_model(), show_shapes=True)
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 24
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 24
@@ -1,4 +1,4 @@
 for images, labels in task.build_inputs(exp_config.task.train_data).take(1):
   print()
-  print(f'images.shape: {str(images.shape):16}  images.dtype: {images.dtype!r}')
-  print(f'labels.shape: {str(labels.shape):16}  labels.dtype: {labels.dtype!r}')
+  print(f"images.shape: {images.shape!s:16}  images.dtype: {images.dtype!r}")
+  print(f"labels.shape: {labels.shape!s:16}  labels.dtype: {labels.dtype!r}")
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 27
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 27
@@ -1 +1 @@
-plt.hist(images.numpy().flatten());
+plt.hist(images.numpy().flatten())
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 29
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 29
@@ -1,2 +1,2 @@
-label_info = ds_info.features['label']
+label_info = ds_info.features["label"]
 label_info.int2str(1)
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 31
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 31
@@ -10,9 +10,6 @@
     if predictions is None:
       plt.title(label_info.int2str(labels[i]))
     else:
-      if labels[i] == predictions[i]:
-        color = 'g'
-      else:
-        color = 'r'
+      color = "g" if labels[i] == predictions[i] else "r"
       plt.title(label_info.int2str(predictions[i]), color=color)
     plt.axis("off")
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 35
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 35
@@ -1,3 +1,3 @@
-plt.figure(figsize=(10, 10));
+plt.figure(figsize=(10, 10))
 for images, labels in task.build_inputs(exp_config.task.validation_data).take(1):
   show_batch(images, labels)
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 37
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 37
@@ -1,7 +1,7 @@
 model, eval_logs = tfm.core.train_lib.run_experiment(
     distribution_strategy=distribution_strategy,
     task=task,
-    mode='train_and_eval',
+    mode="train_and_eval",
     params=exp_config,
     model_dir=model_dir,
     run_post_eval=True)
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 38
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 38
@@ -1 +0,0 @@
-#  tf.keras.utils.plot_model(model, show_shapes=True)
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 40
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 40
@@ -1,4 +1,4 @@
 for key, value in eval_logs.items():
     if isinstance(value, tf.Tensor):
       value = value.numpy()
-    print(f'{key:20}: {value:.3f}')
+    print(f"{key:20}: {value:.3f}")
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 42
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 42
@@ -4,5 +4,5 @@
 
 show_batch(images, labels, tf.cast(predictions, tf.int32))
 
-if device=='CPU':
-  plt.suptitle('The model was only trained for a few steps, it is not expected to do well.')
+if device=="CPU":
+  plt.suptitle("The model was only trained for a few steps, it is not expected to do well.")
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 45
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 45
@@ -1,8 +1,8 @@
 # Saving and exporting the trained model
 export_saved_model_lib.export_inference_graph(
-    input_type='image_tensor',
+    input_type="image_tensor",
     batch_size=1,
     input_image_size=[32, 32],
     params=exp_config,
     checkpoint_path=tf.train.latest_checkpoint(model_dir),
-    export_dir='./export/')
+    export_dir="./export/")
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 47
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 47
@@ -1,3 +1,3 @@
 # Importing SavedModel
-imported = tf.saved_model.load('./export/')
-model_fn = imported.signatures['serving_default']
+imported = tf.saved_model.load("./export/")
+model_fn = imported.signatures["serving_default"]
--- /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 49
+++ /Users/dhruv/playground/ruff/notebooks/image_classification.ipynb:cell 49
@@ -1,10 +1,10 @@
 plt.figure(figsize=(10, 10))
-for data in tfds.load('cifar10', split='test').batch(12).take(1):
+for data in tfds.load("cifar10", split="test").batch(12).take(1):
   predictions = []
-  for image in data['image']:
-    index = tf.argmax(model_fn(image[tf.newaxis, ...])['logits'], axis=1)[0]
+  for image in data["image"]:
+    index = tf.argmax(model_fn(image[tf.newaxis, ...])["logits"], axis=1)[0]
     predictions.append(index)
-  show_batch(data['image'], data['label'], predictions)
+  show_batch(data["image"], data["label"], predictions)
 
-  if device=='CPU':
-    plt.suptitle('The model was only trained for a few steps, it is not expected to do better than random.')
+  if device=="CPU":
+    plt.suptitle("The model was only trained for a few steps, it is not expected to do better than random.")

Would fix 61 errors.
```

</p>
</details> 

resolves: #4727
2023-07-29 04:22:56 +00:00
konsti
d317af442f Fix windows test warnings (#6124)
See
1539299869.
These didn't fail CI because we run clippy on linux only.
2023-07-27 10:22:13 -04:00
Micha Reiser
40f54375cb
Pull in RustPython parser (#6099) 2023-07-27 09:29:11 +00:00
Micha Reiser
2cf00fee96
Remove parser dependency from ruff-python-ast (#6096) 2023-07-26 17:47:22 +02:00
Zanie Blue
3000a47fe8
Include file permissions in key for cached files (#5901)
Reimplements https://github.com/astral-sh/ruff/pull/3104
Closes https://github.com/astral-sh/ruff/issues/5726

Note that we will generate the hash for a cache key twice in normal
operation. Once to check for the cached item and again to update the
cache. We could optimize this by generating the hash once in
`diagnostics::lint_file` and passing the `u64` into `get` and `update`.
We'd probably want to wrap it in a `CacheKeyHash` enum for type safety.

## Test plan

Unit tests for Windows and Unix.

Manual test with case from issue

```
❯ touch fake.py
❯ chmod +x fake.py
❯ ./target/debug/ruff --select EXE fake.py
fake.py:1:1: EXE002 The file is executable but no shebang is present
Found 1 error.
❯ chmod -x fake.py
❯ ./target/debug/ruff --select EXE fake.py
```
2023-07-25 17:06:47 +00:00
Charlie Marsh
057faabcdd
Use Flags::intersects rather than Flags::contains (#6007)
## Summary

This is equivalent for a single flag, but I think it's more likely to be
correct when the bitflags are modified -- the primary reason being that
we sometimes define flags as the union of other flags, e.g.:

```rust
const ANNOTATION = Self::TYPING_ONLY_ANNOTATION.bits() | Self::RUNTIME_ANNOTATION.bits();
```

In this case, `flags.contains(Flag::ANNOTATION)` requires that _both_
flags in the union are set, whereas `flags.intersects(Flag::ANNOTATION)`
requires that _at least one_ flag is set.
2023-07-23 02:59:31 +00:00
Charlie Marsh
f5a2fb5b5d
Bump version to 0.0.280 (#5965) 2023-07-21 22:36:13 -04:00