text: # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
  from __future__ import unicode_literals
  from ..model import PairedTTestDesign
  
  
  def test_PairedTTestDesign_inputs():
      input_map = dict(ancova=dict(field='des.pt.ancova',
      ),
      covariates=dict(field='cov',
      ),
      explicit_mask_file=dict(field='masking.em',
      ),
      global_calc_mean=dict(field='globalc.g_mean',
      xor=['global_calc_omit', 'global_calc_values'],
      ),
      global_calc_omit=dict(field='globalc.g_omit',
      xor=['global_calc_mean', 'global_calc_values'],
      ),
      global_calc_values=dict(field='globalc.g_user.global_uval',
      xor=['global_calc_mean', 'global_calc_omit'],
      ),
      global_normalization=dict(field='globalm.glonorm',
      ),
      grand_mean_scaling=dict(field='des.pt.gmsca',
      ),
      ignore_exception=dict(deprecated='1.0.0',
      nohash=True,
      usedefault=True,
      ),
      matlab_cmd=dict(),
      mfile=dict(usedefault=True,
      ),
      no_grand_mean_scaling=dict(field='globalm.gmsca.gmsca_no',
      ),
      paired_files=dict(field='des.pt.pair',
      mandatory=True,
      ),
      paths=dict(),
      spm_mat_dir=dict(field='dir',
      ),
      threshold_mask_absolute=dict(field='masking.tm.tma.athresh',
      xor=['threshold_mask_none', 'threshold_mask_relative'],
      ),
      threshold_mask_none=dict(field='masking.tm.tm_none',
      xor=['threshold_mask_absolute', 'threshold_mask_relative'],
      ),
      threshold_mask_relative=dict(field='masking.tm.tmr.rthresh',
      xor=['threshold_mask_absolute', 'threshold_mask_none'],
      ),
      use_implicit_threshold=dict(field='masking.im',
      ),
      use_mcr=dict(),
      use_v8struct=dict(min_ver='8',
      usedefault=True,
      ),
      )
      inputs = PairedTTestDesign.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(inputs.traits()[key], metakey) == value
  
  
  def test_PairedTTestDesign_outputs():
      output_map = dict(spm_mat_file=dict(),
      )
      outputs = PairedTTestDesign.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  