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Commit 7f3888d

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adrinjalaliItay
adrinjalali
authored and
Itay
committed
MNT Update black to 23.3.0 (scikit-learn#26110)
1 parent 97b11d7 commit 7f3888d
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‎.pre-commit-config.yaml

Copy file name to clipboardExpand all lines: .pre-commit-config.yaml
+1-1Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -6,7 +6,7 @@ repos:
66
- id: end-of-file-fixer
77
- id: trailing-whitespace
88
- repo: https://github.com/psf/black
9-
rev: 22.3.0
9+
rev: 23.3.0
1010
hooks:
1111
- id: black
1212
- repo: https://github.com/pycqa/flake8

‎benchmarks/bench_20newsgroups.py

Copy file name to clipboardExpand all lines: benchmarks/bench_20newsgroups.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,6 @@
2828
# Data
2929

3030
if __name__ == "__main__":
31-
3231
parser = argparse.ArgumentParser()
3332
parser.add_argument(
3433
"-e", "--estimators", nargs="+", required=True, choices=ESTIMATORS

‎benchmarks/bench_feature_expansions.py

Copy file name to clipboardExpand all lines: benchmarks/bench_feature_expansions.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -35,7 +35,6 @@
3535

3636
fig, axes = plt.subplots(nrows=len(densities), ncols=1, figsize=(8, 10))
3737
for density, ax in zip(densities, axes):
38-
3938
ax.plot(
4039
dimensionalities,
4140
csr_times[density] / trials,

‎benchmarks/bench_glm.py

Copy file name to clipboardExpand all lines: benchmarks/bench_glm.py
-2Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -10,7 +10,6 @@
1010

1111

1212
if __name__ == "__main__":
13-
1413
import matplotlib.pyplot as plt
1514

1615
n_iter = 40
@@ -22,7 +21,6 @@
2221
dimensions = 500 * np.arange(1, n_iter + 1)
2322

2423
for i in range(n_iter):
25-
2624
print("Iteration %s of %s" % (i, n_iter))
2725

2826
n_samples, n_features = 10 * i + 3, 10 * i + 3

‎benchmarks/bench_isolation_forest.py

Copy file name to clipboardExpand all lines: benchmarks/bench_isolation_forest.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -52,7 +52,6 @@ def print_outlier_ratio(y):
5252

5353
# Loop over all datasets for fitting and scoring the estimator:
5454
for dat in datasets:
55-
5655
# Loading and vectorizing the data:
5756
print("====== %s ======" % dat)
5857
print("--- Fetching data...")

‎benchmarks/bench_kernel_pca_solvers_time_vs_n_components.py

Copy file name to clipboardExpand all lines: benchmarks/bench_kernel_pca_solvers_time_vs_n_components.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -82,7 +82,6 @@
8282
r_time = np.empty((len(n_compo_range), n_iter)) * np.nan
8383
# loop
8484
for j, n_components in enumerate(n_compo_range):
85-
8685
n_components = int(n_components)
8786
print("Performing kPCA with n_components = %i" % n_components)
8887

‎benchmarks/bench_kernel_pca_solvers_time_vs_n_samples.py

Copy file name to clipboardExpand all lines: benchmarks/bench_kernel_pca_solvers_time_vs_n_samples.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -83,7 +83,6 @@
8383

8484
# loop
8585
for j, n_samples in enumerate(n_samples_range):
86-
8786
n_samples = int(n_samples)
8887
print("Performing kPCA with n_samples = %i" % n_samples)
8988

‎benchmarks/bench_mnist.py

Copy file name to clipboardExpand all lines: benchmarks/bench_mnist.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -223,7 +223,6 @@ def load_data(dtype=np.float32, order="F"):
223223
)
224224
print("-" * 60)
225225
for name in sorted(args["classifiers"], key=error.get):
226-
227226
print(
228227
"{0: <23} {1: >10.2f}s {2: >10.2f}s {3: >12.4f}".format(
229228
name, train_time[name], test_time[name], error[name]

‎benchmarks/bench_online_ocsvm.py

Copy file name to clipboardExpand all lines: benchmarks/bench_online_ocsvm.py
-2Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -65,7 +65,6 @@ def print_outlier_ratio(y):
6565
results_online = np.empty((len(datasets), n_axis + 5))
6666

6767
for dat, dataset_name in enumerate(datasets):
68-
6968
print(dataset_name)
7069

7170
# Loading datasets
@@ -133,7 +132,6 @@ def print_outlier_ratio(y):
133132
gamma = 1 / n_features # OCSVM default parameter
134133

135134
for random_state in random_states:
136-
137135
print("random state: %s" % random_state)
138136

139137
X, y = shuffle(X, y, random_state=random_state)

‎benchmarks/bench_plot_fastkmeans.py

Copy file name to clipboardExpand all lines: benchmarks/bench_plot_fastkmeans.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,6 @@
88

99

1010
def compute_bench(samples_range, features_range):
11-
1211
it = 0
1312
results = defaultdict(lambda: [])
1413
chunk = 100

‎benchmarks/bench_plot_hierarchical.py

Copy file name to clipboardExpand all lines: benchmarks/bench_plot_hierarchical.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,6 @@
88

99

1010
def compute_bench(samples_range, features_range):
11-
1211
it = 0
1312
results = defaultdict(lambda: [])
1413

‎benchmarks/bench_plot_lasso_path.py

Copy file name to clipboardExpand all lines: benchmarks/bench_plot_lasso_path.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -15,7 +15,6 @@
1515

1616

1717
def compute_bench(samples_range, features_range):
18-
1918
it = 0
2019

2120
results = defaultdict(lambda: [])

‎benchmarks/bench_plot_omp_lars.py

Copy file name to clipboardExpand all lines: benchmarks/bench_plot_omp_lars.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -14,7 +14,6 @@
1414

1515

1616
def compute_bench(samples_range, features_range):
17-
1817
it = 0
1918

2019
results = dict()

‎benchmarks/bench_plot_randomized_svd.py

Copy file name to clipboardExpand all lines: benchmarks/bench_plot_randomized_svd.py
-2Lines changed: 0 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -342,7 +342,6 @@ def scalable_frobenius_norm_discrepancy(X, U, s, V):
342342

343343

344344
def bench_a(X, dataset_name, power_iter, n_oversamples, n_comps):
345-
346345
all_time = defaultdict(list)
347346
if enable_spectral_norm:
348347
all_spectral = defaultdict(list)
@@ -398,7 +397,6 @@ def bench_a(X, dataset_name, power_iter, n_oversamples, n_comps):
398397

399398

400399
def bench_b(power_list):
401-
402400
n_samples, n_features = 1000, 10000
403401
data_params = {
404402
"n_samples": n_samples,

‎benchmarks/bench_plot_svd.py

Copy file name to clipboardExpand all lines: benchmarks/bench_plot_svd.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -13,7 +13,6 @@
1313

1414

1515
def compute_bench(samples_range, features_range, n_iter=3, rank=50):
16-
1716
it = 0
1817

1918
results = defaultdict(lambda: [])

‎benchmarks/bench_sample_without_replacement.py

Copy file name to clipboardExpand all lines: benchmarks/bench_sample_without_replacement.py
+28-22Lines changed: 28 additions & 22 deletions
Original file line numberDiff line numberDiff line change
@@ -105,47 +105,53 @@ def bench_sample(sampling, n_population, n_samples):
105105

106106
###########################################################################
107107
# Set Python core input
108-
sampling_algorithm[
109-
"python-core-sample"
110-
] = lambda n_population, n_sample: random.sample(range(n_population), n_sample)
108+
sampling_algorithm["python-core-sample"] = (
109+
lambda n_population, n_sample: random.sample(range(n_population), n_sample)
110+
)
111111

112112
###########################################################################
113113
# Set custom automatic method selection
114-
sampling_algorithm[
115-
"custom-auto"
116-
] = lambda n_population, n_samples, random_state=None: sample_without_replacement(
117-
n_population, n_samples, method="auto", random_state=random_state
114+
sampling_algorithm["custom-auto"] = (
115+
lambda n_population, n_samples, random_state=None: sample_without_replacement(
116+
n_population, n_samples, method="auto", random_state=random_state
117+
)
118118
)
119119

120120
###########################################################################
121121
# Set custom tracking based method
122-
sampling_algorithm[
123-
"custom-tracking-selection"
124-
] = lambda n_population, n_samples, random_state=None: sample_without_replacement(
125-
n_population, n_samples, method="tracking_selection", random_state=random_state
122+
sampling_algorithm["custom-tracking-selection"] = (
123+
lambda n_population, n_samples, random_state=None: sample_without_replacement(
124+
n_population,
125+
n_samples,
126+
method="tracking_selection",
127+
random_state=random_state,
128+
)
126129
)
127130

128131
###########################################################################
129132
# Set custom reservoir based method
130-
sampling_algorithm[
131-
"custom-reservoir-sampling"
132-
] = lambda n_population, n_samples, random_state=None: sample_without_replacement(
133-
n_population, n_samples, method="reservoir_sampling", random_state=random_state
133+
sampling_algorithm["custom-reservoir-sampling"] = (
134+
lambda n_population, n_samples, random_state=None: sample_without_replacement(
135+
n_population,
136+
n_samples,
137+
method="reservoir_sampling",
138+
random_state=random_state,
139+
)
134140
)
135141

136142
###########################################################################
137143
# Set custom reservoir based method
138-
sampling_algorithm[
139-
"custom-pool"
140-
] = lambda n_population, n_samples, random_state=None: sample_without_replacement(
141-
n_population, n_samples, method="pool", random_state=random_state
144+
sampling_algorithm["custom-pool"] = (
145+
lambda n_population, n_samples, random_state=None: sample_without_replacement(
146+
n_population, n_samples, method="pool", random_state=random_state
147+
)
142148
)
143149

144150
###########################################################################
145151
# Numpy permutation based
146-
sampling_algorithm[
147-
"numpy-permutation"
148-
] = lambda n_population, n_sample: np.random.permutation(n_population)[:n_sample]
152+
sampling_algorithm["numpy-permutation"] = (
153+
lambda n_population, n_sample: np.random.permutation(n_population)[:n_sample]
154+
)
149155

150156
###########################################################################
151157
# Remove unspecified algorithm

‎benchmarks/bench_text_vectorizers.py

Copy file name to clipboardExpand all lines: benchmarks/bench_text_vectorizers.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -45,7 +45,6 @@ def f():
4545
[CountVectorizer, TfidfVectorizer, HashingVectorizer],
4646
[("word", (1, 1)), ("word", (1, 2)), ("char", (4, 4)), ("char_wb", (4, 4))],
4747
):
48-
4948
bench = {"vectorizer": Vectorizer.__name__}
5049
params = {"analyzer": analyzer, "ngram_range": ngram_range}
5150
bench.update(params)

‎benchmarks/bench_tree.py

Copy file name to clipboardExpand all lines: benchmarks/bench_tree.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -60,7 +60,6 @@ def bench_scikit_tree_regressor(X, Y):
6060

6161

6262
if __name__ == "__main__":
63-
6463
print("============================================")
6564
print("Warning: this is going to take a looong time")
6665
print("============================================")

‎benchmarks/bench_tsne_mnist.py

Copy file name to clipboardExpand all lines: benchmarks/bench_tsne_mnist.py
+2-5Lines changed: 2 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -129,8 +129,7 @@ def sanitize(filename):
129129
try:
130130
from bhtsne.bhtsne import run_bh_tsne
131131
except ImportError as e:
132-
raise ImportError(
133-
"""\
132+
raise ImportError("""\
134133
If you want comparison with the reference implementation, build the
135134
binary from source (https://github.com/lvdmaaten/bhtsne) in the folder
136135
benchmarks/bhtsne and add an empty `__init__.py` file in the folder:
@@ -140,8 +139,7 @@ def sanitize(filename):
140139
$ g++ sptree.cpp tsne.cpp tsne_main.cpp -o bh_tsne -O2
141140
$ touch __init__.py
142141
$ cd ..
143-
"""
144-
) from e
142+
""") from e
145143

146144
def bhtsne(X):
147145
"""Wrapper for the reference lvdmaaten/bhtsne implementation."""
@@ -160,7 +158,6 @@ def bhtsne(X):
160158
methods.append(("lvdmaaten/bhtsne", bhtsne))
161159

162160
if args.profile:
163-
164161
try:
165162
from memory_profiler import profile
166163
except ImportError as e:

‎build_tools/generate_authors_table.py

Copy file name to clipboardExpand all lines: build_tools/generate_authors_table.py
-1Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -172,7 +172,6 @@ def generate_list(contributors):
172172

173173

174174
if __name__ == "__main__":
175-
176175
(
177176
core_devs,
178177
emeritus,

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