From 4f16526ca0d927239a5cefb0a24993acbfa18053 Mon Sep 17 00:00:00 2001
From: rachel <lim37@llnl.gov>
Date: Thu, 9 Nov 2023 14:35:33 -0800
Subject: [PATCH] fixed some PEP8 things

---
 hexrd/nf_config/experiment.py      | 11 +++++++----
 hexrd/nf_config/images.py          |  1 +
 hexrd/nf_config/multiprocessing.py |  8 ++++----
 hexrd/nf_config/reconstruction.py  | 10 +++++-----
 4 files changed, 17 insertions(+), 13 deletions(-)

diff --git a/hexrd/nf_config/experiment.py b/hexrd/nf_config/experiment.py
index 9ab849b64..3abfadab6 100644
--- a/hexrd/nf_config/experiment.py
+++ b/hexrd/nf_config/experiment.py
@@ -37,7 +37,8 @@ def comp_thresh(self):
         elif np.logical_and(temp <= 1.0, temp > 0.0):
             return temp
         else:
-            raise RuntimeError('comp_thresh must be None or a number between 0 and 1')
+            raise RuntimeError(
+                'comp_thresh must be None or a number between 0 and 1')
 
     @property
     def chi2_thresh(self):
@@ -47,14 +48,16 @@ def chi2_thresh(self):
         elif np.logical_and(temp <= 1.0, temp > 0.0):
             return temp
         else:
-            raise RuntimeError('chi2_thresh must be None or a number between 0 and 1')
+            raise RuntimeError(
+                'chi2_thresh must be None or a number between 0 and 1')
 
     @property
     def misorientation(self):
-        key = self._cfg.get('experiment:misorientation:use_misorientation', False)
+        key = self._cfg.get(
+            'experiment:misorientation:use_misorientation', False)
         if key is True:
             parms = dict(misorientation_bnd=self.get('experiment:misorientation:bnd', 0.0),
-            misorientation_spacing=self.get('experiment:misorientation:spacing', 0.25))
+                         misorientation_spacing=self.get('experiment:misorientation:spacing', 0.25))
             return parms
         else:
             return
diff --git a/hexrd/nf_config/images.py b/hexrd/nf_config/images.py
index faa5a16e8..433c6c6b5 100644
--- a/hexrd/nf_config/images.py
+++ b/hexrd/nf_config/images.py
@@ -10,6 +10,7 @@
     'gaussian': dict(sigma=2.0, size=3.0),
     'dilations_only': dict(num_erosions=2, num_dilations=3)}
 
+
 class ImagesConfig(Config):
 
     @property
diff --git a/hexrd/nf_config/multiprocessing.py b/hexrd/nf_config/multiprocessing.py
index 2cc37d2be..60fc9288a 100644
--- a/hexrd/nf_config/multiprocessing.py
+++ b/hexrd/nf_config/multiprocessing.py
@@ -27,7 +27,7 @@ def num_cpus(self):
                     logger.warning(
                         'Requested %s processes, %d available',
                         multiproc, ncpus
-                        )
+                    )
                     res = ncpus
                 else:
                     res = multiproc if multiproc else 1
@@ -37,7 +37,7 @@ def num_cpus(self):
                     logger.warning(
                         'Cannot use less than 1 process, requested %d of %d',
                         temp, ncpus
-                        )
+                    )
                     res = 1
                 else:
                     res = temp
@@ -46,7 +46,7 @@ def num_cpus(self):
             logger.warning(
                 "Invalid value %s for multiprocessing",
                 multiproc
-                )
+            )
             res = temp
         return res
 
@@ -60,7 +60,7 @@ def num_cpus(self, val):
             raise RuntimeError(
                 '"num_cpus": must be 1:%d, got %s'
                 % (mp.cpu_count(), val)
-                )
+            )
 
     @property
     def check(self):
diff --git a/hexrd/nf_config/reconstruction.py b/hexrd/nf_config/reconstruction.py
index ccc8c3318..1e689bfac 100644
--- a/hexrd/nf_config/reconstruction.py
+++ b/hexrd/nf_config/reconstruction.py
@@ -12,10 +12,10 @@ class ReconstructionConfig(Config):
     def tomography(self):
         key = self._cfg.get('NF_reconstruction:tomography:use_mask', False)
         if key is True:
-            parms = dict(use_mask = True,
-            mask_data_file='NF_reconstruction:tomography:mask_data_file',
-            mask_vert_offset='NF_reconstruction:tomography:mask_vert_offset',
-            project_single_layer = 'NF_reconstruction:tomography:project_single_layer')
+            parms = dict(use_mask=True,
+                         mask_data_file='NF_reconstruction:tomography:mask_data_file',
+                         mask_vert_offset='NF_reconstruction:tomography:mask_vert_offset',
+                         project_single_layer='NF_reconstruction:tomography:project_single_layer')
             return parms
         else:
             return
@@ -30,7 +30,7 @@ def voxel_spacing(self):
 
     @property
     def v_bnds(self):
-        return self._cfg.get('NF_reconstruction:v_bnds',[0.0,0.0])
+        return self._cfg.get('NF_reconstruction:v_bnds', [0.0, 0.0])
 
     @property
     def beam_stop_y_cen(self):