From 77c45badc810bdc2b5b04b870c3572f841d0fdac Mon Sep 17 00:00:00 2001
From: Ilham Variansyah <variansi@oregonstate.edu>
Date: Thu, 25 Jul 2024 16:22:04 +0700
Subject: [PATCH] back in black

---
 test/regression/slab_ce/input.py | 62 ++++++++++++++++----------------
 1 file changed, 31 insertions(+), 31 deletions(-)

diff --git a/test/regression/slab_ce/input.py b/test/regression/slab_ce/input.py
index f020b873..8f1208d1 100644
--- a/test/regression/slab_ce/input.py
+++ b/test/regression/slab_ce/input.py
@@ -8,37 +8,37 @@
 os.environ["MCDC_XSLIB"] = os.getcwd()
 
 # Create the dummy nuclide
-with h5py.File("dummy_nuclide.h5", 'w') as f:
-    f['A'] = 1.0
-
-    f['E_xs'] = np.array([0.0, 1.0 - 1E-6, 1.0 + 1E-6, 2E7])
-    f['capture'] = np.array([0.01344, 0.01344, 0.00384, 0.00384])
-    f['fission'] = np.array([0.06912, 0.06912, 0.00619, 0.00619])
-    f['scatter'] = np.array([0.26304, 0.26304, 0.15024, 0.15024])
-
-    f['E_nu_p'] = np.array([0.0, 1.0 - 1E-6, 1.0 + 1E-6, 2E7])
-    f['nu_p'] = np.array([2.5, 2.5, 2.7, 2.7])
-
-    f['E_chi_p'] = np.array([0.0, 1E5, 2E7])
-    f['chi_p'] = np.array([0.0, 0.0, 1.0])
-
-    f['decay_rate'] = np.zeros(6)
-
-    f['E_nu_d'] = np.array([0.0, 2E7])
-    f['nu_d'] = np.zeros((6,2))
-
-    f['E_chi_d1'] = np.zeros(0)
-    f['E_chi_d2'] = np.zeros(0)
-    f['E_chi_d3'] = np.zeros(0)
-    f['E_chi_d4'] = np.zeros(0)
-    f['E_chi_d5'] = np.zeros(0)
-    f['E_chi_d6'] = np.zeros(0)
-    f['chi_d1'] = np.zeros(0)
-    f['chi_d2'] = np.zeros(0)
-    f['chi_d3'] = np.zeros(0)
-    f['chi_d4'] = np.zeros(0)
-    f['chi_d5'] = np.zeros(0)
-    f['chi_d6'] = np.zeros(0)
+with h5py.File("dummy_nuclide.h5", "w") as f:
+    f["A"] = 1.0
+
+    f["E_xs"] = np.array([0.0, 1.0 - 1e-6, 1.0 + 1e-6, 2e7])
+    f["capture"] = np.array([0.01344, 0.01344, 0.00384, 0.00384])
+    f["fission"] = np.array([0.06912, 0.06912, 0.00619, 0.00619])
+    f["scatter"] = np.array([0.26304, 0.26304, 0.15024, 0.15024])
+
+    f["E_nu_p"] = np.array([0.0, 1.0 - 1e-6, 1.0 + 1e-6, 2e7])
+    f["nu_p"] = np.array([2.5, 2.5, 2.7, 2.7])
+
+    f["E_chi_p"] = np.array([0.0, 1e5, 2e7])
+    f["chi_p"] = np.array([0.0, 0.0, 1.0])
+
+    f["decay_rate"] = np.zeros(6)
+
+    f["E_nu_d"] = np.array([0.0, 2e7])
+    f["nu_d"] = np.zeros((6, 2))
+
+    f["E_chi_d1"] = np.zeros(0)
+    f["E_chi_d2"] = np.zeros(0)
+    f["E_chi_d3"] = np.zeros(0)
+    f["E_chi_d4"] = np.zeros(0)
+    f["E_chi_d5"] = np.zeros(0)
+    f["E_chi_d6"] = np.zeros(0)
+    f["chi_d1"] = np.zeros(0)
+    f["chi_d2"] = np.zeros(0)
+    f["chi_d3"] = np.zeros(0)
+    f["chi_d4"] = np.zeros(0)
+    f["chi_d5"] = np.zeros(0)
+    f["chi_d6"] = np.zeros(0)
 
 # Create the material
 dummy_material = mcdc.material(