From 26d2d1d3be3d16b9e7f738dc112a949d5f6a3e8b Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 29 Jan 2024 21:11:28 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 adaptive/learner/average_learner1D.py  |  5 +++--
 adaptive/learner/integrator_learner.py |  1 -
 adaptive/learner/learner1D.py          | 10 ++++++----
 adaptive/learner/learnerND.py          |  8 +++++---
 adaptive/runner.py                     |  6 +++---
 5 files changed, 17 insertions(+), 13 deletions(-)

diff --git a/adaptive/learner/average_learner1D.py b/adaptive/learner/average_learner1D.py
index 12c7c9a6c..49e730103 100644
--- a/adaptive/learner/average_learner1D.py
+++ b/adaptive/learner/average_learner1D.py
@@ -79,8 +79,9 @@ def __init__(
         self,
         function: Callable[[tuple[int, Real]], Real],
         bounds: tuple[Real, Real],
-        loss_per_interval: None
-        | (Callable[[Sequence[Real], Sequence[Real]], float]) = None,
+        loss_per_interval: None | (
+            Callable[[Sequence[Real], Sequence[Real]], float]
+        ) = None,
         delta: float = 0.2,
         alpha: float = 0.005,
         neighbor_sampling: float = 0.3,
diff --git a/adaptive/learner/integrator_learner.py b/adaptive/learner/integrator_learner.py
index 74aebe1ca..0fc97df67 100644
--- a/adaptive/learner/integrator_learner.py
+++ b/adaptive/learner/integrator_learner.py
@@ -71,7 +71,6 @@ class DivergentIntegralError(ValueError):
 
 
 class _Interval:
-
     """
     Attributes
     ----------
diff --git a/adaptive/learner/learner1D.py b/adaptive/learner/learner1D.py
index 8385e67b8..a9f96664b 100644
--- a/adaptive/learner/learner1D.py
+++ b/adaptive/learner/learner1D.py
@@ -633,10 +633,12 @@ def tell_pending(self, x: float) -> None:
     def tell_many(
         self,
         xs: Sequence[Float] | np.ndarray,
-        ys: Sequence[Float]
-        | Sequence[Sequence[Float]]
-        | Sequence[np.ndarray]
-        | np.ndarray,
+        ys: (
+            Sequence[Float]
+            | Sequence[Sequence[Float]]
+            | Sequence[np.ndarray]
+            | np.ndarray
+        ),
         *,
         force: bool = False,
     ) -> None:
diff --git a/adaptive/learner/learnerND.py b/adaptive/learner/learnerND.py
index edc839d8d..c8eacea2f 100644
--- a/adaptive/learner/learnerND.py
+++ b/adaptive/learner/learnerND.py
@@ -987,9 +987,11 @@ def plot_slice(self, cut_mapping, n=None):
             xs = ys = np.linspace(0, 1, n)
             xys = [xs[:, None], ys[None, :]]
             values = [
-                cut_mapping[i]
-                if i in cut_mapping
-                else xys.pop(0) * (b[1] - b[0]) + b[0]
+                (
+                    cut_mapping[i]
+                    if i in cut_mapping
+                    else xys.pop(0) * (b[1] - b[0]) + b[0]
+                )
                 for i, b in enumerate(self._bbox)
             ]
 
diff --git a/adaptive/runner.py b/adaptive/runner.py
index 644433516..58abc7139 100644
--- a/adaptive/runner.py
+++ b/adaptive/runner.py
@@ -470,7 +470,7 @@ def __init__(
         npoints_goal: int | None = None,
         end_time_goal: datetime | None = None,
         duration_goal: timedelta | int | float | None = None,
-        executor: (ExecutorTypes | None) = None,
+        executor: ExecutorTypes | None = None,
         ntasks: int | None = None,
         log: bool = False,
         shutdown_executor: bool = False,
@@ -629,7 +629,7 @@ def __init__(
         npoints_goal: int | None = None,
         end_time_goal: datetime | None = None,
         duration_goal: timedelta | int | float | None = None,
-        executor: (ExecutorTypes | None) = None,
+        executor: ExecutorTypes | None = None,
         ntasks: int | None = None,
         log: bool = False,
         shutdown_executor: bool = False,
@@ -956,7 +956,7 @@ def _ensure_executor(executor: ExecutorTypes | None) -> concurrent.Executor:
 
 
 def _get_ncores(
-    ex: (ExecutorTypes),
+    ex: ExecutorTypes,
 ) -> int:
     """Return the maximum  number of cores that an executor can use."""
     if with_ipyparallel: