From 8abef62d46e1b31aebc3ebbfcf5227ef9c62e9fc Mon Sep 17 00:00:00 2001
From: lodenthal <lodenthal@uni-bielefeld.de>
Date: Fri, 15 Dec 2017 10:16:35 +0300
Subject: [PATCH] stuff from todo list

---
 navipy/database/__init__.py | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/navipy/database/__init__.py b/navipy/database/__init__.py
index b69c6a6..63b107c 100644
--- a/navipy/database/__init__.py
+++ b/navipy/database/__init__.py
@@ -149,8 +149,9 @@ It creates three sql table on initialisation.
             self.db_cursor = self.db.cursor()
             for tablename, _ in self.tablecolumns.items():
                 if not self.table_exist(tablename):
-                    raise Exception('{} does not contain a table named {}'.format(
-                        filename, tablename))
+                    raise Exception('{} does not contain\
+                                   a table named {}'.format(
+                                   filename, tablename))
         elif self.create():
             # Create database
             self.db = sqlite3.connect(
@@ -365,8 +366,9 @@ database
         if not len(image.shape) == 3:
             raise Exception('image should be 3D array')
         if not image.shape[2] == len(self.channels):
-            raise Exception('image does not have the required number of channels {}'.format(
-                len(self.channels)))
+            raise Exception('image does not have the\
+                           required number of channels {}'.format(
+                           len(self.channels)))
         if not isinstance(cmaxminrange, pd.Series):
             raise TypeError('cmaxminrange should be a pandas Series')
         denormed_im = np.zeros(image.shape, dtype=np.float)
@@ -382,7 +384,8 @@ database
             cimage += cmin
             denormed_im[:, :, chan_i] = cimage
             if not np.max(cimage) == cmax:
-                raise Exception('denormalisation failed {}!={}'.format(np.max(cimage), cmax))
+                raise Exception('denormalisation failed\
+                               {}!={}'.format(np.max(cimage), cmax))
         return denormed_im
 
 
-- 
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