slight lint

SIRF_data_preparation/Mediso_NEMA_IQ/README.md

@@ -12,7 +12,7 @@ cd Mediso_NEMA_IQ/
 # trim sinograms to avoid "corner" problems in mult_factors
 # TODO for next data: use 30 (as some problems remain)
 for f in additive_term.hs  mult_factors.hs  prompts.hs; do
-   SSRB -t 20 $f $orgpath/sinograms/$f; 
+   SSRB -t 20 $f $orgpath/sinograms/$f
 done
 # alternative if we don't need to trim
 #cp -rp $orgpath/sinograms/* .

SIRF_data_preparation/Mediso_NEMA_IQ/prepare.py

@@ -1,10 +1,11 @@
 # Set NaNs to zero in additive_term
-import sirf.STIR
 import numpy as np
+
+import sirf.STIR
+
 additive = sirf.STIR.AcquisitionData('additive_term.hs')
 add_arr = additive.as_array()
 add_arr = np.nan_to_num(add_arr)
 new_add = additive.clone()
 new_add.fill(add_arr)
 new_add.write('additive_term.hs')
-

petric.py

@@ -141,7 +141,8 @@ def keys(self):
 
 class MetricsWithTimeout(cil_callbacks.Callback):
     """Stops the algorithm after `seconds`"""
-    def __init__(self, seconds=600, outdir=OUTDIR, transverse_slice=None, coronal_slice=None, sagittal_slice=None, **kwargs):
+    def __init__(self, seconds=600, outdir=OUTDIR, transverse_slice=None, coronal_slice=None, sagittal_slice=None,
+                 **kwargs):
         super().__init__(**kwargs)
         self._seconds = seconds
         self.callbacks = [