|
| 1 | +# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT |
| 2 | +from __future__ import unicode_literals |
| 3 | +from ..registration import Registration |
| 4 | + |
| 5 | + |
| 6 | +def test_Registration_inputs(): |
| 7 | + input_map = dict( |
| 8 | + args=dict(argstr='%s', ), |
| 9 | + collapse_output_transforms=dict( |
| 10 | + argstr='--collapse-output-transforms %d', |
| 11 | + usedefault=True, |
| 12 | + ), |
| 13 | + convergence_threshold=dict( |
| 14 | + requires=['number_of_iterations'], |
| 15 | + usedefault=True, |
| 16 | + ), |
| 17 | + convergence_window_size=dict( |
| 18 | + requires=['convergence_threshold'], |
| 19 | + usedefault=True, |
| 20 | + ), |
| 21 | + dimension=dict( |
| 22 | + argstr='--dimensionality %d', |
| 23 | + usedefault=True, |
| 24 | + ), |
| 25 | + environ=dict( |
| 26 | + nohash=True, |
| 27 | + usedefault=True, |
| 28 | + ), |
| 29 | + fixed_image=dict(mandatory=True, ), |
| 30 | + fixed_image_mask=dict( |
| 31 | + argstr='%s', |
| 32 | + max_ver='2.1.0', |
| 33 | + xor=['fixed_image_masks'], |
| 34 | + ), |
| 35 | + fixed_image_masks=dict( |
| 36 | + min_ver='2.2.0', |
| 37 | + xor=['fixed_image_mask'], |
| 38 | + ), |
| 39 | + float=dict(argstr='--float %d', ), |
| 40 | + ignore_exception=dict( |
| 41 | + deprecated='1.0.0', |
| 42 | + nohash=True, |
| 43 | + usedefault=True, |
| 44 | + ), |
| 45 | + initial_moving_transform=dict( |
| 46 | + argstr='%s', |
| 47 | + xor=['initial_moving_transform_com'], |
| 48 | + ), |
| 49 | + initial_moving_transform_com=dict( |
| 50 | + argstr='%s', |
| 51 | + xor=['initial_moving_transform'], |
| 52 | + ), |
| 53 | + initialize_transforms_per_stage=dict( |
| 54 | + argstr='--initialize-transforms-per-stage %d', |
| 55 | + usedefault=True, |
| 56 | + ), |
| 57 | + interpolation=dict( |
| 58 | + argstr='%s', |
| 59 | + usedefault=True, |
| 60 | + ), |
| 61 | + interpolation_parameters=dict(), |
| 62 | + invert_initial_moving_transform=dict( |
| 63 | + requires=['initial_moving_transform'], |
| 64 | + xor=['initial_moving_transform_com'], |
| 65 | + ), |
| 66 | + metric=dict(mandatory=True, ), |
| 67 | + metric_item_trait=dict(), |
| 68 | + metric_stage_trait=dict(), |
| 69 | + metric_weight=dict( |
| 70 | + mandatory=True, |
| 71 | + requires=['metric'], |
| 72 | + usedefault=True, |
| 73 | + ), |
| 74 | + metric_weight_item_trait=dict(), |
| 75 | + metric_weight_stage_trait=dict(), |
| 76 | + moving_image=dict(mandatory=True, ), |
| 77 | + moving_image_mask=dict( |
| 78 | + max_ver='2.1.0', |
| 79 | + requires=['fixed_image_mask'], |
| 80 | + xor=['moving_image_masks'], |
| 81 | + ), |
| 82 | + moving_image_masks=dict( |
| 83 | + min_ver='2.2.0', |
| 84 | + xor=['moving_image_mask'], |
| 85 | + ), |
| 86 | + num_threads=dict( |
| 87 | + nohash=True, |
| 88 | + usedefault=True, |
| 89 | + ), |
| 90 | + number_of_iterations=dict(), |
| 91 | + output_inverse_warped_image=dict( |
| 92 | + hash_files=False, |
| 93 | + requires=['output_warped_image'], |
| 94 | + ), |
| 95 | + output_transform_prefix=dict( |
| 96 | + argstr='%s', |
| 97 | + usedefault=True, |
| 98 | + ), |
| 99 | + output_warped_image=dict(hash_files=False, ), |
| 100 | + radius_bins_item_trait=dict(), |
| 101 | + radius_bins_stage_trait=dict(), |
| 102 | + radius_or_number_of_bins=dict( |
| 103 | + requires=['metric_weight'], |
| 104 | + usedefault=True, |
| 105 | + ), |
| 106 | + restore_state=dict(argstr='--restore-state %s', ), |
| 107 | + restrict_deformation=dict(), |
| 108 | + sampling_percentage=dict(requires=['sampling_strategy'], ), |
| 109 | + sampling_percentage_item_trait=dict(), |
| 110 | + sampling_percentage_stage_trait=dict(), |
| 111 | + sampling_strategy=dict(requires=['metric_weight'], ), |
| 112 | + sampling_strategy_item_trait=dict(), |
| 113 | + sampling_strategy_stage_trait=dict(), |
| 114 | + save_state=dict(argstr='--save-state %s', ), |
| 115 | + shrink_factors=dict(mandatory=True, ), |
| 116 | + sigma_units=dict(requires=['smoothing_sigmas'], ), |
| 117 | + smoothing_sigmas=dict(mandatory=True, ), |
| 118 | + terminal_output=dict( |
| 119 | + deprecated='1.0.0', |
| 120 | + nohash=True, |
| 121 | + ), |
| 122 | + transform_parameters=dict(), |
| 123 | + transforms=dict( |
| 124 | + argstr='%s', |
| 125 | + mandatory=True, |
| 126 | + ), |
| 127 | + use_estimate_learning_rate_once=dict(), |
| 128 | + use_histogram_matching=dict(usedefault=True, ), |
| 129 | + verbose=dict(argstr='-v', ), |
| 130 | + winsorize_lower_quantile=dict( |
| 131 | + argstr='%s', |
| 132 | + usedefault=True, |
| 133 | + ), |
| 134 | + winsorize_upper_quantile=dict( |
| 135 | + argstr='%s', |
| 136 | + usedefault=True, |
| 137 | + ), |
| 138 | + write_composite_transform=dict( |
| 139 | + argstr='--write-composite-transform %d', |
| 140 | + usedefault=True, |
| 141 | + ), |
| 142 | + ) |
| 143 | + inputs = Registration.input_spec() |
| 144 | + |
| 145 | + for key, metadata in list(input_map.items()): |
| 146 | + for metakey, value in list(metadata.items()): |
| 147 | + assert getattr(inputs.traits()[key], metakey) == value |
| 148 | +def test_Registration_outputs(): |
| 149 | + output_map = dict( |
| 150 | + composite_transform=dict(), |
| 151 | + elapsed_time=dict(), |
| 152 | + forward_invert_flags=dict(), |
| 153 | + forward_transforms=dict(), |
| 154 | + inverse_composite_transform=dict(), |
| 155 | + inverse_warped_image=dict(), |
| 156 | + metric_value=dict(), |
| 157 | + reverse_invert_flags=dict(), |
| 158 | + reverse_transforms=dict(), |
| 159 | + save_state=dict(), |
| 160 | + warped_image=dict(), |
| 161 | + ) |
| 162 | + outputs = Registration.output_spec() |
| 163 | + |
| 164 | + for key, metadata in list(output_map.items()): |
| 165 | + for metakey, value in list(metadata.items()): |
| 166 | + assert getattr(outputs.traits()[key], metakey) == value |
0 commit comments