fix black

Signed-off-by: Xavier Dupré <[email protected]>

Author: xadupre

benchmarks/bench_plot_onnxruntime_decision_tree.py

@@ -149,7 +149,7 @@ def bench(n_obs, n_features, max_depths, methods, repeat=10, verbose=False):
 def plot_results(df, verbose=False):
     nrows = max(len(set(df.max_depth)) * len(set(df.n_obs)), 2)
     ncols = max(len(set(df.method)), 2)
-    fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
+    _fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
     pos = 0
     row = 0
     for n_obs in sorted(set(df.n_obs)):

benchmarks/bench_plot_onnxruntime_hgb.py

@@ -80,7 +80,7 @@ def bench(
 
                 for n in n_obs:
                     for method in methods:
-                        fct1, fct2, fct3 = fcts[method]
+                        fct1, fct2, _fct3 = fcts[method]
 
                         if not allow_configuration(
                             n=n,
@@ -153,7 +153,7 @@ def bench(
 def plot_results(df, verbose=False):
     nrows = max(len(set(df.max_depth)) * len(set(df.n_obs)), 2)
     ncols = 2
-    fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
+    _fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
     pos = 0
     row = 0
     for n_obs in sorted(set(df.n_obs)):

benchmarks/bench_plot_onnxruntime_linreg.py

@@ -146,7 +146,7 @@ def bench(n_obs, n_features, fit_intercepts, methods, repeat=10, verbose=False):
 def plot_results(df, verbose=False):
     nrows = max(len(set(df.fit_intercept)) * len(set(df.n_obs)), 2)
     ncols = max(len(set(df.method)), 2)
-    fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
+    _fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
     pos = 0
     row = 0
     for n_obs in sorted(set(df.n_obs)):

benchmarks/bench_plot_onnxruntime_logreg.py

@@ -157,7 +157,7 @@ def bench(n_obs, n_features, fit_intercepts, methods, repeat=10, verbose=False):
 def plot_results(df, verbose=False):
     nrows = max(len(set(df.fit_intercept)) * len(set(df.n_obs)), 2)
     ncols = max(len(set(df.method)), 2)
-    fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
+    _fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
     pos = 0
     row = 0
     for n_obs in sorted(set(df.n_obs)):

benchmarks/bench_plot_onnxruntime_random_forest.py

@@ -166,7 +166,7 @@ def bench(
 def plot_results(df, verbose=False):
     nrows = max(len(set(df.max_depth)) * len(set(df.n_obs)), 2)
     ncols = max(len(set(df.method)), 2)
-    fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
+    _fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
     pos = 0
     row = 0
     for n_obs in sorted(set(df.n_obs)):

benchmarks/bench_plot_onnxruntime_random_forest_reg.py

@@ -204,7 +204,7 @@ def bench(
 def plot_results(df, verbose=False):
     nrows = max(len(set(df.max_depth)) * len(set(df.n_obs)), 2)
     ncols = max(len(set(df.n_jobs)), 2)
-    fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
+    _fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
     pos = 0
     row = 0
     for n_obs in sorted(set(df.n_obs)):

benchmarks/bench_plot_onnxruntime_svm_reg.py

@@ -139,7 +139,7 @@ def bench(n_obs, n_features, kernels, methods, repeat=10, verbose=False):
 def plot_results(df, verbose=False):
     nrows = max(len(set(df.n_obs)), 2)
     ncols = 2
-    fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
+    _fig, ax = plt.subplots(nrows, ncols, figsize=(ncols * 4, nrows * 4))
     pos = 0
     row = 0
     for n_obs in sorted(set(df.n_obs)):

docs/examples/plot_custom_model.py

@@ -234,7 +234,7 @@ def plot_embedding(Xp, y, imgs, title=None, figsize=(12, 4)):
     x_min, x_max = numpy.min(Xp, 0), numpy.max(Xp, 0)
     X = (Xp - x_min) / (x_max - x_min)
 
-    fig, ax = plt.subplots(1, 2, figsize=figsize)
+    _fig, ax = plt.subplots(1, 2, figsize=figsize)
     for i in range(X.shape[0]):
         ax[0].text(
             X[i, 0],

docs/tests/test_documentation_examples.py

@@ -41,7 +41,7 @@ def run_test(self, fold: str, name: str, verbose=0) -> int:
             cmds = [sys.executable, "-u", os.path.join(fold, name)]
             p = subprocess.Popen(cmds, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
             res = p.communicate()
-            out, err = res
+            _out, err = res
             st = err.decode("ascii", errors="ignore")
             if st and "Traceback" in st:
                 if '"dot" not found in path.' in st:

pyproject.toml

@@ -95,7 +95,7 @@ select = [
     "B007", "B019", "B028", "B904",
     "C401", "C403", "C405", "C406", "C408", "C413", "C416", "C417",
     "PIE808", "PIE810",
-    "RUF005", "RUF012", "RUF010", "RUF015", "RUF046", "RUF051",
+    "RUF005", "RUF012", "RUF010", "RUF015", "RUF046", "RUF051", "RUF059",
     "SIM102", "SIM105", "SIM113", "SIM114", "SIM118", "SIM300", "SIM905",
     "UP015", "UP018", "UP028", "UP030", "UP031", "UP032"
 ]