code stringlengths 3 6.57k |
|---|
create_dummy_string(length) |
range(0, length) |
create_con_file(con_dict, col_names, file_name, current_output, out_dir) |
open(os.path.join(out_dir, file_name) |
f.write("/ContrastName%s\t%s\n" %(num,key) |
f.write("/NumWaves\t%d\n" %len(con_dict[key]) |
f.write("/NumContrasts\t%d\n" %len(con_dict) |
f.write("/PPheights%s" %create_dummy_string(len(con_dict[key]) |
f.write("/RequiredEffect%s" %create_dummy_string(len(con_dict[key]) |
f.write("\n\n") |
f.write("/Matrix\n") |
f.write("%1.5e\t" %v) |
f.write("\n") |
open(os.path.join(out_dir, model_name + '.fts') |
len(con_dict) |
len(ftest_list) |
ftest_string.split(",") |
con_dict.keys() |
ftest_vector.append(1) |
ftest_vector.append(0) |
ftst.append(ftest_vector) |
np.array(ftst) |
con_dict.keys() |
range(fts_n.shape[0]) |
join(fts_n[i].astype('str') |
Exception(errmsg) |
open(con_file, "r") |
f.readline() |
evs.rstrip('\r\n') |
split(',') |
np.genfromtxt(con_file, names=True, delimiter=',', dtype=None) |
data.tolist() |
len(list(lst[0]) |
format (contrast_name, 0, 0, 0, 0, ...) |
contrast_names.append(tp[0]) |
list(tp) |
list(tp) |
fts_columns.append(fts_vector) |
con_vector.insert(0, 0) |
con_vector.insert(0, 1) |
contrasts.append(con_vector) |
contrasts (not regressors) |
len(contrasts[0]) |
np.array(contrasts, dtype=np.float16) |
np.array(fts_columns) |
len(contrast_names) |
Exception(errmsg) |
len(column_names) |
matrix (found in the %s.mat file) |
EVs (columns) |
len(column_names) |
str(column_names) |
Exception(err_string) |
zip(column_names, evs[1:]) |
Exception(errmsg) |
os.path.join(output_dir, model_name + '.con') |
open(out_dir,"wt") |
np.savetxt(f, contrasts, fmt='%1.5e', delimiter='\t') |
file (.fts) |
os.path.join(output_dir, model_name + '.fts') |
open(ftest_out_dir,"wt") |
range(fts_n.shape[0]) |
join(fts_n[i].astype('str') |
contrasts (if there are two) |
parsed_contrast.split(operator) |
EVs_in_contrast.remove('') |
ev_selections.keys() |
if (cat_EV in EV) |
EV.split(":") |
parsed_EVs_in_contrast.append(cat_EV_contrast) |
parsed_EVs_in_contrast.append(EV) |
len(parsed_EVs_in_contrast) |
len(parsed_EVs_in_contrast) |
Configuration(yaml.load(open(os.path.realpath(group_config) |
os.path.exists(output_dir) |
os.makedirs(output_dir) |
get_measure_dict(param_file) |
dictionary (if it exists) |
contrast.replace(' ', '') |
parsed_contrast.replace('+',',+,') |
contrast_string.replace('-',',-,') |
contrast_string.split(',') |
contrast_items.remove('') |
len(contrast_items) |
len(contrast_items) |
len(contrast_items) |
ev_selections.keys() |
C(' + cat_EV + ') |
C(' + cat_EV + ', Sum) |
positive(dmatrix, item) |
contrasts_dict.keys() |
contrasts_dict.keys() |
contrasts_dict.keys() |
file (if f-tests) |
if (custom_contrasts == None) |
or (custom_contrasts == '') |
file (.con) |
file (.con) |
message_as_bytes_or_string(message) |
message.as_string() |
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