mat file revamp: Use consistent phrasing

flatironinstitute · Apr 26, 2024 · 2581815 · 2581815
1 parent fafffce
commit 2581815
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/caiman/base/movies.py b/caiman/base/movies.py
@@ -1518,7 +1518,7 @@ def load(file_name: Union[str, list[str]],
                     if extension == '.mat':
                         raise Exception(f"Problem loading {file_name}: Unknown format. This may be in the original version 1 (non-hdf5) mat format; please convert it first")
                     else:
-                        raise Exception(f"Problem in loading {file_name}: Unknown format.")
+                        raise Exception(f"Problem loading {file_name}: Unknown format.")
             ignore_keys = ['__DATA_TYPES__'] # Known metadata that tools provide, add to this as needed. Sync with get_file_size() !!
             fkeys = list(filter(lambda x: x not in ignore_keys, f.keys()))
             if len(fkeys) == 1: # If the file we're parsing has only one dataset inside it,
@@ -1951,7 +1951,7 @@ def load_iter(file_name: Union[str, list[str]], subindices=None, var_name_hdf5:
                         if extension == '.mat':
                             raise Exception(f"Problem loading {file_name}: Unknown format. This may be in the original version 1 (non-hdf5) mat format; please convert it first")
                         else:
-                            raise Exception(f"Problem in loading {file_name}: Unknown format.")
+                            raise Exception(f"Problem loading {file_name}: Unknown format.")
                 ignore_keys = ['__DATA_TYPES__'] # Known metadata that tools provide, add to this as needed.
                 fkeys = list(filter(lambda x: x not in ignore_keys, f.keys()))
                 if len(fkeys) == 1: # If the hdf5 file we're parsing has only one dataset inside it,
@@ -2045,7 +2045,7 @@ def get_file_size(file_name, var_name_hdf5:str='mov') -> tuple[tuple, Union[int,
                         if extension == '.mat':
                             raise Exception(f"Problem loading {file_name}: Unknown format. This may be in the original version 1 (non-hdf5) mat format; please convert it first")
                         else:
-                            raise Exception(f"Problem in loading {file_name}: Unknown format.")
+                            raise Exception(f"Problem loading {file_name}: Unknown format.")
                 ignore_keys = ['__DATA_TYPES__'] # Known metadata that tools provide, add to this as needed. Sync with movies.my:load() !!
                 kk = list(filter(lambda x: x not in ignore_keys, f.keys()))
                 if len(kk) == 1: # TODO: Consider recursing into a group to find a dataset