From 254b622da22b94e5686b1c053656bae7200dec69 Mon Sep 17 00:00:00 2001 From: elodiegermani1 Date: Thu, 14 Dec 2023 10:38:59 +0100 Subject: [PATCH] [REPRO] Code spell corrections --- narps_open/pipelines/team_43FJ_debug.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/narps_open/pipelines/team_43FJ_debug.py b/narps_open/pipelines/team_43FJ_debug.py index 8af1b910..ccc8ac84 100755 --- a/narps_open/pipelines/team_43FJ_debug.py +++ b/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])]