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python-adaptive · Feb 5, 2024 · a292a1b · a292a1b
1 parent d1f14cd
commit a292a1b
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Showing 5 changed files with 17 additions and 13 deletions.
diff --git 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
@@ -71,7 +71,6 @@ class DivergentIntegralError(ValueError):
 
 
 class _Interval:
-
     """
     Attributes
     ----------

diff --git 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
@@ -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
@@ -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: