@@ -164,6 +164,8 @@ tests:
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dimension : ' 3'
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input_image :
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bspline_fitting_distance : ' 300'
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+ save_bias : ' False'
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+ copy_header : ' False'
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shrink_factor : ' 3'
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n_iterations : ' [50,50,30,20]'
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imports : &id001
@@ -186,6 +188,10 @@ tests:
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# dict[str, str] - values to provide to inputs fields in the task initialisation
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# (if not specified, will try to choose a sensible value)
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convergence_threshold : 1e-6
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+ n_iterations : ' [50,50,30,20]'
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+ input_image :
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+ save_bias : ' False'
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+ copy_header : ' False'
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imports :
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
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# consisting of 'module', 'name', and optionally 'alias' keys
@@ -205,6 +211,10 @@ tests:
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# dict[str, str] - values to provide to inputs fields in the task initialisation
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# (if not specified, will try to choose a sensible value)
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bspline_order : ' 5'
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+ bspline_fitting_distance : 10
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+ save_bias : ' False'
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+ copy_header : ' False'
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+ input_image :
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imports :
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
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# consisting of 'module', 'name', and optionally 'alias' keys
@@ -225,6 +235,7 @@ tests:
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# (if not specified, will try to choose a sensible value)
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input_image :
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save_bias : ' True'
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+ copy_header : ' False'
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dimension : ' 3'
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imports :
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
@@ -247,6 +258,8 @@ tests:
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input_image :
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dimension : ' 3'
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histogram_sharpening : (0.12, 0.02, 200)
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+ save_bias : ' False'
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+ copy_header : ' False'
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imports :
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
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# consisting of 'module', 'name', and optionally 'alias' keys
@@ -274,6 +287,8 @@ doctests:
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bspline_fitting_distance : ' 300'
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shrink_factor : ' 3'
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n_iterations : ' [50,50,30,20]'
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+ save_bias : ' False'
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+ copy_header : ' False'
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imports : *id001
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
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# consisting of 'module', 'name', and optionally 'alias' keys
@@ -286,6 +301,9 @@ doctests:
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# If the field is of file-format type and the value is None, then the
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# '.mock()' method of the corresponding class is used instead.
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convergence_threshold : 1e-6
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+ n_iterations : ' [50,50,30,20]'
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+ save_bias : ' False'
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+ copy_header : ' False'
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imports :
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
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# consisting of 'module', 'name', and optionally 'alias' keys
@@ -298,6 +316,8 @@ doctests:
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# If the field is of file-format type and the value is None, then the
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# '.mock()' method of the corresponding class is used instead.
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bspline_order : ' 5'
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+ save_bias : ' False'
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+ copy_header : ' False'
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imports :
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
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# consisting of 'module', 'name', and optionally 'alias' keys
@@ -311,6 +331,7 @@ doctests:
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# '.mock()' method of the corresponding class is used instead.
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input_image :
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save_bias : ' True'
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+ copy_header : ' False'
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dimension : ' 3'
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imports :
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# list[nipype2pydra.task.importstatement] - list import statements required by the test, with each list item
@@ -324,6 +345,8 @@ doctests:
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# If the field is of file-format type and the value is None, then the
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# '.mock()' method of the corresponding class is used instead.
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input_image :
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+ save_bias : ' False'
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+ copy_header : ' False'
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dimension : ' 3'
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histogram_sharpening : (0.12, 0.02, 200)
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imports :
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