#
# This file is used to contain diffs that do not indicate a meaningful test failure, and so should be ignored.
#
# If testExperiment fails because of a diff between .py files, a file "tmp_py_diff_NameOfPsyexpScript.tmp" will be generated.
# However, the .py file from (load psyexp -> .py) might differ in uninteresting ways from the the .py file
# from (load psyexp -> saveToXML -> loadFromXML -> .py), e.g., based merely on the order of items within a dict.
# If a diff is generated, its worth inspecting it as a clue to a bug, or for how to ignore it.
# 
# Check for a new file (e.g., shows up as an unstaged change in git gui), and view the diff in the temp file.
# From there, inspect the original XML file. In the case of the Navon task, there was a dict for a trialList:
#     >) the tmp_py_diff.tmp to this file
# (the "known_py_diff.txt" file):
#    cat tmp_py_diff.txt >> known_py_diffs.txt
# If you then run testApp again, and that was the only issue, the test should succeed.
# For the Navon task, I added logic to screen out diffs that consist of lines starting with stimOut and
# vary only in the order of items within the line. So that one is suppressed without reference to this file

# ------------------------------------- append diffs below: -------------------------------------

# example:

NavonTask.psyexp.py load-save difference in resulting .py files: ---------------
@@ -226,7 +226,7 @@
 
 practiceTrials.saveAsPickle(filename+'practiceTrials')
 practiceTrials.saveAsExcel(filename+'.xlsx', sheetName='practiceTrials',
-    stimOut=['xPos', 'congruence', 'yPos', 'location', 'stimFile', 'corrAns', ],
+    stimOut=['xPos', 'congruence', 'yPos', 'corrAns', 'stimFile', 'location', ],
     dataOut=['n','all_mean','all_std', 'all_raw'])
 
 #update component parameters for each repeat
@@ -308,7 +308,7 @@
 
 trials.saveAsPickle(filename+'trials')
 trials.saveAsExcel(filename+'.xlsx', sheetName='trials',
-    stimOut=['xPos', 'congruence', 'yPos', 'location', 'stimFile', 'corrAns', ],
+    stimOut=['xPos', 'congruence', 'yPos', 'corrAns', 'stimFile', 'location', ],
     dataOut=['n','all_mean','all_std', 'all_raw'])
 
 #update component parameters for each repeat

--------------------------------------------------------------------------------

