[REPRO] Code spell corrections

narps_open/pipelines/team_43FJ_debug.py

@@ -32,7 +32,7 @@ def __init__(self):
         self.contrast_list = ['0001', '0002', '0003', '0004']
 
     def get_preprocessing(self):
-        """ Return a Nipype worflow describing the prerpocessing part of the pipeline """
+        """ Return a Nipype workflow describing the prepocessing part of the pipeline """
 
         # [INFO] The following part stays the same for all preprocessing pipelines
 
@@ -494,7 +494,7 @@ def get_run_level_analysis(self):
         return l1_analysis
 
     def get_registration(self):
-        """ Return a Nipype worflow describing the registration part of the pipeline """
+        """ Return a Nipype workflow describing the registration part of the pipeline """
 
         # Infosource Node - To iterate on subjects
         info_source = Node(
@@ -612,7 +612,7 @@ def get_registration(self):
 
 
     def get_subject_level_analysis(self):
-        """ Return a Nipype worflow describing the subject level analysis part of the pipeline """
+        """ Return a Nipype workflow describing the subject level analysis part of the pipeline """
 
         # [INFO] The following part stays the same for all pipelines
 
@@ -962,7 +962,7 @@ def get_group_level_analysis_sub_workflow(self, method):
         #   - the name of the variable in which you store the Node object
         #   - the 'name' attribute of the Node
         # [TODO] The node_function refers to a NiPype interface that you must import
-        # at the begining of the file.
+        # at the beginning of the file.
         merge_copes = Node(
             Merge(dimension = 't'),
             name = 'merge_copes'
@@ -1045,7 +1045,7 @@ def get_group_level_analysis_sub_workflow(self, method):
 
 
 
-        # [INFO] Here whe define the contrasts used for the group level analysis, depending on the
+        # [INFO] Here we define the contrasts used for the group level analysis, depending on the
         # method used.
         if method in ('equalRange', 'equalIndifference'):
             contrasts = [('Group', 'T', ['mean'], [1]), ('Group', 'T', ['mean'], [-1])]