Skip to content

Commit 7c2796d

Browse files
pre-commit-ci[bot]mroeschke
pre-commit-ci[bot]
and
mroeschke
authored
[pre-commit.ci] pre-commit autoupdate (#61802)
* [pre-commit.ci] pre-commit autoupdate updates: - [github.com/astral-sh/ruff-pre-commit: v0.11.12 → v0.12.2](astral-sh/ruff-pre-commit@v0.11.12...v0.12.2) - [github.com/MarcoGorelli/cython-lint: v0.16.6 → v0.16.7](MarcoGorelli/cython-lint@v0.16.6...v0.16.7) - [github.com/pre-commit/mirrors-clang-format: v20.1.5 → v20.1.7](pre-commit/mirrors-clang-format@v20.1.5...v20.1.7) - [github.com/trim21/pre-commit-mirror-meson: v1.8.1 → v1.8.2](trim21/pre-commit-mirror-meson@v1.8.1...v1.8.2) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Rename method * ignore PLW0177 * Noqa test --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Matthew Roeschke <[email protected]>
1 parent fea4f5b commit 7c2796d

File tree

9 files changed

+27
-26
lines changed

9 files changed

+27
-26
lines changed

‎.pre-commit-config.yaml

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -19,7 +19,7 @@ ci:
1919
skip: [pyright, mypy]
2020
repos:
2121
- repo: https://github.com/astral-sh/ruff-pre-commit
22-
rev: v0.11.12
22+
rev: v0.12.2
2323
hooks:
2424
- id: ruff
2525
args: [--exit-non-zero-on-fix]
@@ -47,7 +47,7 @@ repos:
4747
types_or: [python, rst, markdown, cython, c]
4848
additional_dependencies: [tomli]
4949
- repo: https://github.com/MarcoGorelli/cython-lint
50-
rev: v0.16.6
50+
rev: v0.16.7
5151
hooks:
5252
- id: cython-lint
5353
- id: double-quote-cython-strings
@@ -95,14 +95,14 @@ repos:
9595
- id: sphinx-lint
9696
args: ["--enable", "all", "--disable", "line-too-long"]
9797
- repo: https://github.com/pre-commit/mirrors-clang-format
98-
rev: v20.1.5
98+
rev: v20.1.7
9999
hooks:
100100
- id: clang-format
101101
files: ^pandas/_libs/src|^pandas/_libs/include
102102
args: [-i]
103103
types_or: [c, c++]
104104
- repo: https://github.com/trim21/pre-commit-mirror-meson
105-
rev: v1.8.1
105+
rev: v1.8.2
106106
hooks:
107107
- id: meson-fmt
108108
args: ['--inplace']

‎asv_bench/benchmarks/gil.py

Lines changed: 15 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -36,7 +36,7 @@
3636
from .pandas_vb_common import BaseIO # isort:skip
3737

3838

39-
def test_parallel(num_threads=2, kwargs_list=None):
39+
def run_parallel(num_threads=2, kwargs_list=None):
4040
"""
4141
Decorator to run the same function multiple times in parallel.
4242
@@ -95,7 +95,7 @@ def setup(self, threads, method):
9595
{"key": np.random.randint(0, ngroups, size=N), "data": np.random.randn(N)}
9696
)
9797

98-
@test_parallel(num_threads=threads)
98+
@run_parallel(num_threads=threads)
9999
def parallel():
100100
getattr(df.groupby("key")["data"], method)()
101101

@@ -123,7 +123,7 @@ def setup(self, threads):
123123
ngroups = 10**3
124124
data = Series(np.random.randint(0, ngroups, size=size))
125125

126-
@test_parallel(num_threads=threads)
126+
@run_parallel(num_threads=threads)
127127
def get_groups():
128128
data.groupby(data).groups
129129

@@ -142,7 +142,7 @@ def setup(self, dtype):
142142
df = DataFrame({"col": np.arange(N, dtype=dtype)})
143143
indexer = np.arange(100, len(df) - 100)
144144

145-
@test_parallel(num_threads=2)
145+
@run_parallel(num_threads=2)
146146
def parallel_take1d():
147147
take_nd(df["col"].values, indexer)
148148

@@ -163,7 +163,7 @@ def setup(self):
163163
k = 5 * 10**5
164164
kwargs_list = [{"arr": np.random.randn(N)}, {"arr": np.random.randn(N)}]
165165

166-
@test_parallel(num_threads=2, kwargs_list=kwargs_list)
166+
@run_parallel(num_threads=2, kwargs_list=kwargs_list)
167167
def parallel_kth_smallest(arr):
168168
algos.kth_smallest(arr, k)
169169

@@ -180,42 +180,42 @@ def setup(self):
180180
self.period = self.dti.to_period("D")
181181

182182
def time_datetime_field_year(self):
183-
@test_parallel(num_threads=2)
183+
@run_parallel(num_threads=2)
184184
def run(dti):
185185
dti.year
186186

187187
run(self.dti)
188188

189189
def time_datetime_field_day(self):
190-
@test_parallel(num_threads=2)
190+
@run_parallel(num_threads=2)
191191
def run(dti):
192192
dti.day
193193

194194
run(self.dti)
195195

196196
def time_datetime_field_daysinmonth(self):
197-
@test_parallel(num_threads=2)
197+
@run_parallel(num_threads=2)
198198
def run(dti):
199199
dti.days_in_month
200200

201201
run(self.dti)
202202

203203
def time_datetime_field_normalize(self):
204-
@test_parallel(num_threads=2)
204+
@run_parallel(num_threads=2)
205205
def run(dti):
206206
dti.normalize()
207207

208208
run(self.dti)
209209

210210
def time_datetime_to_period(self):
211-
@test_parallel(num_threads=2)
211+
@run_parallel(num_threads=2)
212212
def run(dti):
213213
dti.to_period("s")
214214

215215
run(self.dti)
216216

217217
def time_period_to_datetime(self):
218-
@test_parallel(num_threads=2)
218+
@run_parallel(num_threads=2)
219219
def run(period):
220220
period.to_timestamp()
221221

@@ -232,7 +232,7 @@ def setup(self, method):
232232
if hasattr(DataFrame, "rolling"):
233233
df = DataFrame(arr).rolling(win)
234234

235-
@test_parallel(num_threads=2)
235+
@run_parallel(num_threads=2)
236236
def parallel_rolling():
237237
getattr(df, method)()
238238

@@ -249,7 +249,7 @@ def parallel_rolling():
249249
"std": rolling_std,
250250
}
251251

252-
@test_parallel(num_threads=2)
252+
@run_parallel(num_threads=2)
253253
def parallel_rolling():
254254
rolling[method](arr, win)
255255

@@ -286,7 +286,7 @@ def setup(self, dtype):
286286
self.fname = f"__test_{dtype}__.csv"
287287
df.to_csv(self.fname)
288288

289-
@test_parallel(num_threads=2)
289+
@run_parallel(num_threads=2)
290290
def parallel_read_csv():
291291
read_csv(self.fname)
292292

@@ -305,7 +305,7 @@ class ParallelFactorize:
305305
def setup(self, threads):
306306
strings = Index([f"i-{i}" for i in range(100000)], dtype=object)
307307

308-
@test_parallel(num_threads=threads)
308+
@run_parallel(num_threads=threads)
309309
def parallel():
310310
factorize(strings)
311311

‎pandas/core/frame.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7235,7 +7235,7 @@ def sort_values(
72357235
indexer = lexsort_indexer(
72367236
keys_data, orders=ascending, na_position=na_position, key=key
72377237
)
7238-
elif len(by):
7238+
elif by:
72397239
# len(by) == 1
72407240

72417241
k = self._get_label_or_level_values(by[0], axis=axis)

‎pandas/core/indexes/base.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -7635,7 +7635,7 @@ def ensure_index(index_like: Axes, copy: bool = False) -> Index:
76357635
# check in clean_index_list
76367636
index_like = list(index_like)
76377637

7638-
if len(index_like) and lib.is_all_arraylike(index_like):
7638+
if index_like and lib.is_all_arraylike(index_like):
76397639
from pandas.core.indexes.multi import MultiIndex
76407640

76417641
return MultiIndex.from_arrays(index_like)

‎pandas/io/parsers/base_parser.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -243,7 +243,7 @@ def extract(r):
243243
names.insert(single_ic, single_ic)
244244

245245
# Clean the column names (if we have an index_col).
246-
if len(ic):
246+
if ic:
247247
col_names = [
248248
r[ic[0]]
249249
if ((r[ic[0]] is not None) and r[ic[0]] not in self.unnamed_cols)

‎pandas/io/parsers/python_parser.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -281,7 +281,7 @@ def read(
281281

282282
index: Index | None
283283
columns: Sequence[Hashable] = list(self.orig_names)
284-
if not len(content): # pragma: no cover
284+
if not content: # pragma: no cover
285285
# DataFrame with the right metadata, even though it's length 0
286286
# error: Cannot determine type of 'index_col'
287287
names = dedup_names(

‎pandas/tests/arithmetic/test_datetime64.py

Lines changed: 1 addition & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -9,7 +9,6 @@
99
)
1010
from itertools import (
1111
product,
12-
starmap,
1312
)
1413
import operator
1514

@@ -2211,7 +2210,7 @@ def test_timedelta64_equal_timedelta_supported_ops(self, op, box_with_array):
22112210

22122211
def timedelta64(*args):
22132212
# see casting notes in NumPy gh-12927
2214-
return np.sum(list(starmap(np.timedelta64, zip(args, intervals))))
2213+
return np.sum(list(map(np.timedelta64, args, intervals)))
22152214

22162215
for d, h, m, s, us in product(*([range(2)] * 5)):
22172216
nptd = timedelta64(d, h, m, s, us)

‎pandas/util/_tester.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -12,7 +12,7 @@
1212
PKG = os.path.dirname(os.path.dirname(__file__))
1313

1414

15-
def test(extra_args: list[str] | None = None, run_doctests: bool = False) -> None:
15+
def test(extra_args: list[str] | None = None, run_doctests: bool = False) -> None: # noqa: PT028
1616
"""
1717
Run the pandas test suite using pytest.
1818

‎pyproject.toml

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -318,6 +318,8 @@ ignore = [
318318
"ISC001",
319319
# if-stmt-min-max
320320
"PLR1730",
321+
# nan-comparison
322+
"PLW0177",
321323

322324
### TODO: Enable gradually
323325
# Useless statement

0 commit comments

Comments
 (0)