Cosmetics

Author: gonzaponte

invisible_cities/cities/components.py

@@ -1096,8 +1096,8 @@ def copy_Efield(hitc : HitCollection) -> HitCollection:
 
 
 @check_annotations
-def make_event_summary(event_number  : int              ,
-                       topology_info : pd.DataFrame     ,
+def make_event_summary(event_number  : int          ,
+                       topology_info : pd.DataFrame ,
                        paolina_hits  : HitCollection,
                        out_of_map    : bool
                        ) -> pd.DataFrame:
@@ -1108,7 +1108,6 @@ def make_event_summary(event_number  : int              ,
     Parameters
     ----------
     event_number  : int
-    timestamp     : long int
     topology_info : DataFrame
         Dataframe containing track information,
         output of track_blob_info_creator_extractor

invisible_cities/cities/diomira.py

@@ -47,7 +47,7 @@
 from .. types.ic_types          import NoneType
 from .. types.symbols           import WfType
 
-from .. dataflow          import dataflow as fl
+from .. dataflow import dataflow as fl
 
 from .  components import city
 from .  components import print_every

invisible_cities/io/indexation_test.py

@@ -28,22 +28,19 @@ def writer_test_city( writer      : Callable
     with tb.open_file(file_out, 'w') as h5out:
         writer(h5out)
 
-    def get_writers     (self, h5out): pass
-    def write_parameters(self, h5out): pass
-
 
 def _df_writer(h5out):
     df = pd.DataFrame(columns=['event', 'some_value'], dtype=int)
     return df_writer(h5out, df, 'DUMMY', 'dummy', columns_to_index=['event'])
 
 
-@mark.parametrize("         writer  group      node      column        thing".split(),
-                  [(   hits_writer, "RECO" , "Events"  , "event"     , "hits"),
-                   (     kr_writer, "DST"  , "Events"  , "event"     , "kr"  ),
-                   (   pmap_writer, "PMAPS", "S1"      , "event"     , "s1"  ),
-                   (   pmap_writer, "PMAPS", "S2"      , "event"     , "s2"  ),
-                   (   pmap_writer, "PMAPS", "S2Si"    , "event"     , "s2si"),
-                   (    _df_writer, "DUMMY", "dummy"   , "event"     , 'df'  )])
+@mark.parametrize("         writer  group      node      column   thing".split(),
+                  [(   hits_writer, "RECO" , "Events"  , "event", "hits"),
+                   (     kr_writer, "DST"  , "Events"  , "event", "kr"  ),
+                   (   pmap_writer, "PMAPS", "S1"      , "event", "s1"  ),
+                   (   pmap_writer, "PMAPS", "S2"      , "event", "s2"  ),
+                   (   pmap_writer, "PMAPS", "S2Si"    , "event", "s2si"),
+                   (    _df_writer, "DUMMY", "dummy"   , "event", 'df'  )])
 def test_table_is_indexed(tmpdir_factory, writer, group, node, column, thing):
     tmpdir = tmpdir_factory.mktemp('indexation')
     file_out = os.path.join(tmpdir, f"empty_table_containing_{thing}.h5")