def fill_first_level(self):
input_value=self.get_value("feat_files(1)")
if input_value:
self.input_file=self.strip_root(input_value)
preproc_match=re.search("preproc.*feat",input_value)
#TODO inconsistent methodology here
if preproc_match:
self.preproc=input_value[preproc_match.start():preproc_match.end()]
number_of_evs=int(self.get_value("evs_orig"))
number_of_copes=int(self.get_value("ncon_orig"))
design_matrix=[['0' for col in range(number_of_evs+2)] for row in range(number_of_copes+1)]
design_matrix[0][0]="Cope #"
design_matrix[0][1]="Cope Name"
self.evs=dict()
self.cons=dict()
for ind in range(1,number_of_evs+1):
index=str(ind)
ev_1=ev()
ev_1.name=self.get_value("evtitle"+index)
ev_1.file_path=self.get_value("custom"+index)
ev_1.set_convolution(self.get_value("convolve"+index))
ev_1.temporal_deriv=binary_value_to_yes_no(self.get_value("deriv_yn"+index))
ev_1.temporal_filtering=binary_value_to_yes_no(self.get_value("tempfilt_yn"+index))
design_matrix[0][ind+1]=ev_1.name
self.evs[index]=ev_1
for ind in range(1,number_of_copes+1):
index=str(ind)
con=contrast()
con.name=self.get_value("conname_orig."+index)
con.ev_list=dict()
real_cope_index=1
design_matrix[ind][0]=index
design_matrix[ind][1]=con.name
for j in range (1,number_of_evs+1):
ev_value=self.get_value("con_real"+index+"."+str(real_cope_index))
con.ev_list[str(j)]=ev_value
design_matrix[ind][j+1]=ev_value
if self.evs[str(j)].temporal_deriv == "Y":
real_cope_index +=2
else:
real_cope_index+=1
self.cons[index]=con
self.design_matrix=design_matrix
def fill_pre(self):
self.tr=self.get_value("tr")
self.smoothing=self.get_value("smooth")
self.number_volumes=self.get_value("npts")
self.removed_volumes=self.get_value("ndelete")
self.motion_correction=binary_value_to_yes_no(self.get_value("mc"))
self.brain_thresh=self.get_value("brain_thresh")
input_value=self.get_value("feat_files(1)")
if input_value:
self.input_file=self.strip_root(input_value)