def cmd_line_parse(iargs=None):
parser = tcoh_create_parser()
inps = parser.parse_args(args=iargs)
if (not inps.disp_fig or inps.outfile) and not inps.save_fig:
inps.save_fig = True
if inps.ylim:
inps.ylim = sorted(inps.ylim)
if inps.zero_mask:
inps.mask_file = 'no'
# default value
if not inps.disp_unit:
inps.disp_unit = 'cm'
if not inps.colormap:
inps.colormap = 'jet'
if not inps.fig_size:
inps.fig_size = [8.0, 4.5]
# verbose print using --noverbose option
global vprint
vprint = print if inps.print_msg else lambda *args, **kwargs: None
tsview.vprint = print if inps.print_msg else lambda *args, **kwargs: None
if not inps.disp_fig:
plt.switch_backend('Agg')
inps = ts2vel.init_exp_log_dicts(inps)
return inps
def cmd_line_parse(iargs=None):
parser = create_parser()
inps = parser.parse_args(args=iargs)
if inps.gps_component:
msg = '--gps-comp is not supported for {}'.format(os.path.basename(__file__))
raise NotImplementedError(msg)
if inps.file_label:
if len(inps.file_label) != len(inps.file):
raise Exception('input number of labels != number of files.')
if (not inps.disp_fig or inps.outfile) and not inps.save_fig:
inps.save_fig = True
if inps.ylim:
inps.ylim = sorted(inps.ylim)
if inps.zero_mask:
inps.mask_file = 'no'
# default value
inps.disp_unit = inps.disp_unit if inps.disp_unit else 'cm'
inps.colormap = inps.colormap if inps.colormap else 'jet'
inps.fig_size = inps.fig_size if inps.fig_size else [8.0, 4.5]
# temporal model fitting, initialize the dicts of exp and log funcs
inps = ts2vel.init_exp_log_dicts(inps)
# verbose print using --noverbose option
global vprint
vprint = print if inps.print_msg else lambda *args, **kwargs: None
if not inps.disp_fig:
plt.switch_backend('Agg')
return inps
