[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

src/pyhf/infer/calculators.py

@@ -675,7 +675,7 @@ def __init__(
         test_stat="qtilde",
         ntoys=2000,
         track_progress=True,
-        skip_failing_toys = False,
+        skip_failing_toys=False,
     ):
         r"""
         Toy-based Calculator.
@@ -757,7 +757,7 @@ def distributions(self, poi_test, track_progress=None):
 
         """
 
-        print('skip?',self.skip_failing_toys)
+        print('skip?', self.skip_failing_toys)
 
         tensorlib, _ = get_backend()
         sample_shape = (self.ntoys,)
@@ -797,14 +797,14 @@ def distributions(self, poi_test, track_progress=None):
 
         signal_teststat = []
         for sample in tqdm.tqdm(signal_sample, **tqdm_options, desc='Signal-like'):
-            try: 
+            try:
                 value = teststat_func(
-                        poi_test,
-                        sample,
-                        self.pdf,
-                        self.init_pars,
-                        self.par_bounds,
-                        self.fixed_params,
+                    poi_test,
+                    sample,
+                    self.pdf,
+                    self.init_pars,
+                    self.par_bounds,
+                    self.fixed_params,
                 )
             except RuntimeError:
                 if self.skip_failing_toys:
@@ -813,20 +813,18 @@ def distributions(self, poi_test, track_progress=None):
                     raise
 
             if (value is not None) and (tensorlib.isfinite(value)):
-                signal_teststat.append(
-                    value    
-                )
+                signal_teststat.append(value)
 
         bkg_teststat = []
         for sample in tqdm.tqdm(bkg_sample, **tqdm_options, desc='Background-like'):
-            try: 
+            try:
                 value = teststat_func(
-                        poi_test,
-                        sample,
-                        self.pdf,
-                        self.init_pars,
-                        self.par_bounds,
-                        self.fixed_params,
+                    poi_test,
+                    sample,
+                    self.pdf,
+                    self.init_pars,
+                    self.par_bounds,
+                    self.fixed_params,
                 )
             except RuntimeError:
                 if self.skip_failing_toys:
@@ -835,9 +833,7 @@ def distributions(self, poi_test, track_progress=None):
                     raise
 
             if (value is not None) and (tensorlib.isfinite(value)):
-                bkg_teststat.append(
-                    value
-                )
+                bkg_teststat.append(value)
 
         s_plus_b = EmpiricalDistribution(tensorlib.astensor(signal_teststat))
         b_only = EmpiricalDistribution(tensorlib.astensor(bkg_teststat))