Of course
I try
#!/usr/bin/env tcsh
# created by uber_subject.py: version 1.2 (April 5, 2018)
# creation date: Tue Jul 24 21:58:36 2018
# set subject and group identifiers
set subj = female
set gname = peking
# set data directories
set top_dir = /mnt/e/SemraHoca/Peking/Gr1/${subj}/1860323/session_1
set anat_dir = $top_dir/anat_1
set epi_dir = $top_dir/rest_1
# run afni_proc.py to create a single subject processing script
afni_proc.py -subj_id $subj \
-script proc.$subj -scr_overwrite \
-blocks despike tshift align tlrc volreg blur mask regress \
-copy_anat $anat_dir/mprage_noface.nii.gz \
-dsets $epi_dir/rest.nii.gz \
-tcat_remove_first_trs 5 \
-volreg_align_to MIN_OUTLIER \
-volreg_align_e2a \
-volreg_tlrc_warp \
-blur_size 6.0 \
-regress_censor_motion 0.2 \
-regress_bandpass 0.01 0.1 \
-regress_apply_mot_types demean deriv \
-regress_motion_per_run \
-regress_est_blur_errts
My errors or warnings
43 -[7m*+ WARNING:[0m Input dataset is not 3D+time; assuming TR=1.0
set ovals = ( `1d_tool.py -set_run_lengths $tr_counts
-index_to_run_tr $minindex` )
82-[7m*+ WARNING:[0m dataset is already aligned in time!
83-[7m*+ WARNING:[0m ==>> output dataset is just a copy of input dataset
242-*********** Warning *************
Dataset centers are 42.224525 mm
apart. If registration fails, or if
parts of the original anatomy gets
cropped, try adding option
-init_xform AUTO_CENTER
to your @auto_tlrc command.
++ Processing AFNI dataset __ats_tmp___upad40_dset_ns+orig
308-[7m*+ WARNING:[0m Changing the space of an ORIG view dataset may cause confusion!
309-[7m*+ WARNING:[0m NIFTI copies will be interpreted as TLRC view (not TLRC space).
310-[7m*+ WARNING:[0m Consider changing the view of the dataset to TLRC view also
356-[7m*+ WARNING:[0m input 'a' is not used in the expression
My version is
Precompiled binary linux_openmp_64: Jul 6 2018 (Version AFNI_18.2.04)