Bump ruff from 0.5.4 to 0.9.1 (microsoft#23328)

Bumps [ruff](https://github.com/astral-sh/ruff) from 0.5.4 to 0.9.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/astral-sh/ruff/releases">ruff's
releases</a>.</em></p>
<blockquote>
<h2>0.9.1</h2>
<h2>Release Notes</h2>
<h3>Preview features</h3>
<ul>
<li>[<code>pycodestyle</code>] Run
<code>too-many-newlines-at-end-of-file</code> on each cell in notebooks
(<code>W391</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15308">#15308</a>)</li>
<li>[<code>ruff</code>] Omit diagnostic for shadowed private function
parameters in <code>used-dummy-variable</code> (<code>RUF052</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15376">#15376</a>)</li>
</ul>
<h3>Rule changes</h3>
<ul>
<li>[<code>flake8-bugbear</code>] Improve
<code>assert-raises-exception</code> message (<code>B017</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15389">#15389</a>)</li>
</ul>
<h3>Formatter</h3>
<ul>
<li>Preserve trailing end-of line comments for the last string literal
in implicitly concatenated strings (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15378">#15378</a>)</li>
</ul>
<h3>Server</h3>
<ul>
<li>Fix a bug where the server and client notebooks were out of sync
after reordering cells (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15398">#15398</a>)</li>
</ul>
<h3>Bug fixes</h3>
<ul>
<li>[<code>flake8-pie</code>] Correctly remove wrapping parentheses
(<code>PIE800</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15394">#15394</a>)</li>
<li>[<code>pyupgrade</code>] Handle comments and multiline expressions
correctly (<code>UP037</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15337">#15337</a>)</li>
</ul>
<h2>Contributors</h2>
<ul>
<li><a
href="https://github.com/AntoineD"><code>@​AntoineD</code></a></li>
<li><a
href="https://github.com/InSyncWithFoo"><code>@​InSyncWithFoo</code></a></li>
<li><a
href="https://github.com/MichaReiser"><code>@​MichaReiser</code></a></li>
<li><a href="https://github.com/calumy"><code>@​calumy</code></a></li>
<li><a
href="https://github.com/dcreager"><code>@​dcreager</code></a></li>
<li><a
href="https://github.com/dhruvmanila"><code>@​dhruvmanila</code></a></li>
<li><a href="https://github.com/dylwil3"><code>@​dylwil3</code></a></li>
<li><a href="https://github.com/sharkdp"><code>@​sharkdp</code></a></li>
<li><a href="https://github.com/tjkuson"><code>@​tjkuson</code></a></li>
</ul>
<h2>Install ruff 0.9.1</h2>
<h3>Install prebuilt binaries via shell script</h3>
<pre lang="sh"><code>curl --proto '=https' --tlsv1.2 -LsSf
https://github.com/astral-sh/ruff/releases/download/0.9.1/ruff-installer.sh
| sh
</code></pre>
<h3>Install prebuilt binaries via powershell script</h3>
<pre lang="sh"><code>powershell -ExecutionPolicy ByPass -c &quot;irm
https://github.com/astral-sh/ruff/releases/download/0.9.1/ruff-installer.ps1
| iex&quot;
</code></pre>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md">ruff's
changelog</a>.</em></p>
<blockquote>
<h2>0.9.1</h2>
<h3>Preview features</h3>
<ul>
<li>[<code>pycodestyle</code>] Run
<code>too-many-newlines-at-end-of-file</code> on each cell in notebooks
(<code>W391</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15308">#15308</a>)</li>
<li>[<code>ruff</code>] Omit diagnostic for shadowed private function
parameters in <code>used-dummy-variable</code> (<code>RUF052</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15376">#15376</a>)</li>
</ul>
<h3>Rule changes</h3>
<ul>
<li>[<code>flake8-bugbear</code>] Improve
<code>assert-raises-exception</code> message (<code>B017</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15389">#15389</a>)</li>
</ul>
<h3>Formatter</h3>
<ul>
<li>Preserve trailing end-of line comments for the last string literal
in implicitly concatenated strings (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15378">#15378</a>)</li>
</ul>
<h3>Server</h3>
<ul>
<li>Fix a bug where the server and client notebooks were out of sync
after reordering cells (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15398">#15398</a>)</li>
</ul>
<h3>Bug fixes</h3>
<ul>
<li>[<code>flake8-pie</code>] Correctly remove wrapping parentheses
(<code>PIE800</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15394">#15394</a>)</li>
<li>[<code>pyupgrade</code>] Handle comments and multiline expressions
correctly (<code>UP037</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/pull/15337">#15337</a>)</li>
</ul>
<h2>0.9.0</h2>
<p>Check out the <a href="https://astral.sh/blog/ruff-v0.9.0">blog
post</a> for a migration guide and overview of the changes!</p>
<h3>Breaking changes</h3>
<p>Ruff now formats your code according to the 2025 style guide. As a
result, your code might now get formatted differently. See the formatter
section for a detailed list of changes.</p>
<p>This release doesn’t remove or remap any existing stable rules.</p>
<h3>Stabilization</h3>
<p>The following rules have been stabilized and are no longer in
preview:</p>
<ul>
<li><a
href="https://docs.astral.sh/ruff/rules/stdlib-module-shadowing/"><code>stdlib-module-shadowing</code></a>
(<code>A005</code>).
This rule has also been renamed: previously, it was called
<code>builtin-module-shadowing</code>.</li>
<li><a
href="https://docs.astral.sh/ruff/rules/builtin-lambda-argument-shadowing/"><code>builtin-lambda-argument-shadowing</code></a>
(<code>A006</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/slice-to-remove-prefix-or-suffix/"><code>slice-to-remove-prefix-or-suffix</code></a>
(<code>FURB188</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/boolean-chained-comparison/"><code>boolean-chained-comparison</code></a>
(<code>PLR1716</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/decimal-from-float-literal/"><code>decimal-from-float-literal</code></a>
(<code>RUF032</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/post-init-default/"><code>post-init-default</code></a>
(<code>RUF033</code>)</li>
<li><a
href="https://docs.astral.sh/ruff/rules/useless-if-else/"><code>useless-if-else</code></a>
(<code>RUF034</code>)</li>
</ul>
<p>The following behaviors have been stabilized:</p>
<ul>
<li><a
href="https://docs.astral.sh/ruff/rules/pytest-parametrize-names-wrong-type/"><code>pytest-parametrize-names-wrong-type</code></a>
(<code>PT006</code>): Detect <a
href="https://docs.pytest.org/en/7.1.x/how-to/parametrize.html#parametrize"><code>pytest.parametrize</code></a>
calls outside decorators and calls with keyword arguments.</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/astral-sh/ruff/commit/12f86f39a4691e44b62c11dd4bc376a16e358f43"><code>12f86f3</code></a>
Ruff 0.9.1 (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15407">#15407</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/2b28d566a4a891339a43a35c818f5b155c0b9edd"><code>2b28d56</code></a>
Associate a trailing end-of-line comment in a parenthesized implicit
concaten...</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/adca7bd95cf315ca14e34ab3eac6deb73e154f1d"><code>adca7bd</code></a>
Remove pygments pin (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15404">#15404</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/6b98a26452ec1bde8b445c82c097d03c78213c1d"><code>6b98a26</code></a>
[red-knot] Support <code>assert_type</code> (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15194">#15194</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/c87463842a6e19976b6f3401137b6932e4a7bb71"><code>c874638</code></a>
[red-knot] Move tuple-containing-Never tests to Markdown (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15402">#15402</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/c364b586f9177a22f4556f86e434f21dfaf82c38"><code>c364b58</code></a>
[<code>flake8-pie</code>] Correctly remove wrapping parentheses
(<code>PIE800</code>) (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15394">#15394</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/73d424ee5e6963d577e196d71c3b19c82e84e612"><code>73d424e</code></a>
Fix outdated doc for handling the default file types with the pre-commit
hook...</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/6e9ff445fd8559972b423370de20563a9c2db8d4"><code>6e9ff44</code></a>
Insert the cells from the <code>start</code> position (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15398">#15398</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/f2c3ddc5eaa2ce107a200e134be82fc36afce06b"><code>f2c3ddc</code></a>
[red-knot] Move intersection type tests to Markdown (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15396">#15396</a>)</li>
<li><a
href="https://github.com/astral-sh/ruff/commit/b861551b6ac928c25136d76151162f6fefc9cf71"><code>b861551</code></a>
Remove unnecessary backticks (<a
href="https://redirect.github.com/astral-sh/ruff/issues/15393">#15393</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/astral-sh/ruff/compare/0.5.4...0.9.1">compare
view</a></li>
</ul>
</details>
<br />


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Author: 3 people

docs/python/examples/plot_train_convert_predict.py

@@ -212,9 +212,9 @@ def sess_predict_proba_rf(x):
     rf.fit(X_train, y_train)
     initial_type = [("float_input", FloatTensorType([1, 4]))]
     onx = convert_sklearn(rf, initial_types=initial_type)
-    with open("rf_iris_%d.onnx" % n_trees, "wb") as f:
+    with open(f"rf_iris_{n_trees}.onnx", "wb") as f:
         f.write(onx.SerializeToString())
-    sess = rt.InferenceSession("rf_iris_%d.onnx" % n_trees, providers=rt.get_available_providers())
+    sess = rt.InferenceSession(f"rf_iris_{n_trees}.onnx", providers=rt.get_available_providers())
 
     def sess_predict_proba_loop(x):
         return sess.run([prob_name], {input_name: x.astype(numpy.float32)})[0]  # noqa: B023

onnxruntime/python/tools/quantization/calibrate.py

@@ -161,7 +161,7 @@ class CalibrationMethod(Enum):
 class CalibrationDataReader(metaclass=abc.ABCMeta):
     @classmethod
     def __subclasshook__(cls, subclass):
-        return hasattr(subclass, "get_next") and callable(subclass.get_next) or NotImplemented
+        return (hasattr(subclass, "get_next") and callable(subclass.get_next)) or NotImplemented
 
     @abc.abstractmethod
     def get_next(self) -> dict:

onnxruntime/python/tools/quantization/quant_utils.py

@@ -907,11 +907,7 @@ def smooth_distribution(p, eps=0.0001):
         # raise ValueError('The discrete probability distribution is malformed. All entries are 0.')
         return None
     eps1 = eps * float(n_zeros) / float(n_nonzeros)
-    assert eps1 < 1.0, "n_zeros=%d, n_nonzeros=%d, eps1=%f" % (
-        n_zeros,
-        n_nonzeros,
-        eps1,
-    )
+    assert eps1 < 1.0, f"n_zeros={n_zeros}, n_nonzeros={n_nonzeros}, eps1={eps1}"
 
     hist = p.astype(numpy.float32)
     hist += eps * is_zeros + (-eps1) * is_nonzeros

onnxruntime/python/tools/tensorrt/perf/build/ort_build_latest.py

@@ -44,9 +44,8 @@ def main():
     cmake_tar = "cmake-3.28.3-linux-x86_64.tar.gz"
     if not os.path.exists(cmake_tar):
         subprocess.run(["wget", "-c", "https://cmake.org/files/v3.28/" + cmake_tar], check=True)
-    tar = tarfile.open(cmake_tar)
-    tar.extractall()
-    tar.close()
+    with tarfile.open(cmake_tar) as tar:
+        tar.extractall()
 
     os.environ["PATH"] = os.path.join(os.path.abspath("cmake-3.28.3-linux-x86_64"), "bin") + ":" + os.environ["PATH"]
     os.environ["CUDACXX"] = os.path.join(args.cuda_home, "bin", "nvcc")

onnxruntime/python/tools/tensorrt/perf/setup_scripts/setup_onnx_zoo.py

@@ -17,11 +17,13 @@ def create_model_folder(model):
 def extract_and_get_files(file_name):
     model_folder = file_name.replace(".tar.gz", "") + "/"
     create_model_folder(model_folder)
-    model_tar = tarfile.open(file_name)
-    model_tar.extractall(model_folder)
-    file_list = model_tar.getnames()
-    file_list.sort()
-    model_tar.close()
+    with tarfile.open(file_name) as model_tar:
+        for member in model_tar.getmembers():
+            if os.path.isabs(member.name) or ".." in member.name:
+                raise ValueError(f"Illegal tar archive entry: {member.name}")
+        model_tar.extractall(model_folder)
+        file_list = model_tar.getnames()
+        file_list.sort()
     return model_folder, file_list
 
 

onnxruntime/test/python/onnxruntime_test_python.py

@@ -85,7 +85,7 @@ def cuda_device_count(self, cuda_lib):
         if result != 0:
             error_str = ctypes.c_char_p()
             cuda_lib.cuGetErrorString(result, ctypes.byref(error_str))
-            print("cuDeviceGetCount failed with error code %d: %s" % (result, error_str.value.decode()))
+            print(f"cuDeviceGetCount failed with error code {result}: {error_str.value.decode()}")
             return -1
         return num_device.value
 

onnxruntime/test/python/onnxruntime_test_python_iobinding.py

@@ -221,7 +221,7 @@ def test_bind_onnx_types_not_supported_by_numpy(self):
             )
 
         for inner_device, provider in devices:
-            for onnx_dtype in onnx_to_torch_type_map:
+            for onnx_dtype, torch_dtype in onnx_to_torch_type_map.items():
                 with self.subTest(onnx_dtype=onnx_dtype, inner_device=str(inner_device)):
 
                     # Create onnx graph with dynamic axes
@@ -239,7 +239,6 @@ def test_bind_onnx_types_not_supported_by_numpy(self):
 
                     sess = onnxrt.InferenceSession(model_def.SerializeToString(), providers=provider)
 
-                    torch_dtype = onnx_to_torch_type_map[onnx_dtype]
                     x = torch.arange(8).to(torch_dtype)
                     y = torch.empty(8, dtype=torch_dtype)
 

onnxruntime/test/python/onnxruntime_test_scatternd.py

@@ -88,8 +88,8 @@ def common_scatter(self, opset, providers, dtype, reduction, expected_names):
         self.assertEqual(expected_names, names)
 
         sonx = str(onx).replace(" ", "").replace("\n", "|")
-        sexp = 'op_type:"Cast"|attribute{|name:"to"|type:INT|i:%d|}' % itype
-        sexp2 = 'op_type:"Cast"|attribute{|name:"to"|i:%d|type:INT|}' % itype
+        sexp = 'op_type:"Cast"|attribute{|name:"to"|type:INT|i:%d|}' % itype  # noqa: UP031
+        sexp2 = 'op_type:"Cast"|attribute{|name:"to"|i:%d|type:INT|}' % itype  # noqa: UP031
         assert sexp in sonx or sexp2 in sonx, f"Unable to find a substring in {sonx!r}"
         if providers == ["CPUExecutionProvider"]:
             return

onnxruntime/test/python/quantization/op_test_utils.py

@@ -379,10 +379,10 @@ def check_op_type_count(testcase, model_path, **kwargs):
         if node.op_type in optype2count:
             optype2count[node.op_type] += 1
 
-    for op_type in kwargs:
+    for op_type, value in kwargs.items():
         try:
             testcase.assertEqual(
-                kwargs[op_type],
+                value,
                 optype2count[op_type],
                 f"op_type {op_type} count not same",
             )

onnxruntime/test/python/quantization/test_calibration.py

@@ -361,8 +361,8 @@ def test_compute_data(self):
         min_max_pairs = list(zip(rmin, rmax))
         output_names = [infer_session.get_outputs()[i].name for i in range(len(infer_session.get_outputs()))]
         output_min_max_dict = dict(zip(output_names, min_max_pairs))
-        for output_name in output_min_max_dict:
-            self.assertEqual(output_min_max_dict[output_name], tensors_range[output_name].range_value)
+        for output_name, min_max in output_min_max_dict.items():
+            self.assertEqual(min_max, tensors_range[output_name].range_value)
 
     def test_histogram_calibrators_run(self):
         """
@@ -524,8 +524,8 @@ def test_compute_data_per_channel(self):
         min_max_pairs = list(zip(rmin, rmax))
         output_names = [infer_session.get_outputs()[i].name for i in range(len(infer_session.get_outputs()))]
         output_min_max_dict = dict(zip(output_names, min_max_pairs))
-        for output_name in output_min_max_dict:
-            np.testing.assert_equal(output_min_max_dict[output_name], tensors_range[output_name].range_value)
+        for output_name, min_max in output_min_max_dict.items():
+            np.testing.assert_equal(min_max, tensors_range[output_name].range_value)
 
 
 if __name__ == "__main__":