From 240e1ad167e4401fa8f6c1944ba29f7e4f2efb27 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 17 Dec 2024 22:43:53 +0000
Subject: [PATCH] style: pre-commit fixes

---
 pybop/optimisers/_random_search.py | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/pybop/optimisers/_random_search.py b/pybop/optimisers/_random_search.py
index c405fb690..683435c7e 100644
--- a/pybop/optimisers/_random_search.py
+++ b/pybop/optimisers/_random_search.py
@@ -38,12 +38,14 @@ def __init__(self, x0, sigma0=0.05, boundaries=None):
         self._boundaries = boundaries
 
         # Initialise population
-        self._candidates = np.random.uniform(
-            low=self._boundaries.lower(),
-            high=self._boundaries.upper(),
-            size=(self._n, self._dim),
-        ) if self._boundaries else np.random.normal(
-            self._x0, self._sigma0, size=(self._n, self._dim)
+        self._candidates = (
+            np.random.uniform(
+                low=self._boundaries.lower(),
+                high=self._boundaries.upper(),
+                size=(self._n, self._dim),
+            )
+            if self._boundaries
+            else np.random.normal(self._x0, self._sigma0, size=(self._n, self._dim))
         )
 
         # Initialise best solution
@@ -69,7 +71,7 @@ def ask(self):
             )
         else:
             self._candidates = np.random.normal(
-            self._x0, self._sigma0, size=(self._n, self._dim)
+                self._x0, self._sigma0, size=(self._n, self._dim)
             )
         return self.clip_candidates(self._candidates)