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@@ -81,10 +81,10 @@ If you have a problem or would like to ask a question about how to do something
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to `NeuroStars.org <http://neurostars.org>`_ with a *nipype* tag. `NeuroStars.org <http://neurostars.org>`_ is a platform similar to StackOverflow but dedicated to neuroinformatics. All previous Nipype questions are available here::
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http://neurostars.org/t/nipype/
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To participate in the Nipype development related discussions please use the following mailing list::
Copy file name to clipboardExpand all lines: THANKS.rst
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@@ -86,15 +86,15 @@ Other contributors
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* Mike Trumpis
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* Karl Young
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* Tom Waite
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We would also like to thank `JetBrains <http://www.jetbrains.com/>`__ for providing `Pycharm <http://www.jetbrains.com/pycharm/>`__ licenses.
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Funding
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-------
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Satrajit Ghosh work on this project was partially funded by NIBIB R03 EB008673 (PI: Ghosh and Whitfield-Gabrieli) and by the `INCF <http://www.incf.org>`__ through a contract with TankThink Labs, LLC.
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Chris Burns was supported by NIMH grant 5R01MH081909-02 (PI: Desposito). Hans Jonson was supported by
`S10 RR023392 Enterprise Storage In A Collaborative Neuroimaging Environment <http://projectreporter.nih.gov/project_info_description.cfm?aid=7209718&icde=16158552&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC>`__,
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`R01 NS040068 Neurobiological Predictors of Huntington's Disease <http://projectreporter.nih.gov/project_info_description.cfm?aid=6266377&icde=16158103>`__,
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Chris Burns was supported by NIMH grant 5R01MH081909-02 (PI: Desposito). Hans Jonson was supported by
`S10 RR023392 Enterprise Storage In A Collaborative Neuroimaging Environment <http://projectreporter.nih.gov/project_info_description.cfm?aid=7209718&icde=16158552&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC>`__,
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`R01 NS040068 Neurobiological Predictors of Huntington's Disease <http://projectreporter.nih.gov/project_info_description.cfm?aid=6266377&icde=16158103>`__,
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and `UL1 TR000442 University of Iowa Clinical and Translational Science Program <http://projectreporter.nih.gov/project_info_description.cfm?aid=8467220&icde=16159156&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC>`__.
Copy file name to clipboardExpand all lines: doc/devel/interface_specs.rst
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@@ -130,8 +130,8 @@ base class down to subclasses).:
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``TraitedSpec``: Nipype's primary base class for all Specs.
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Provides initialization, some nipype-specific methods and any trait
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handlers we define. Inherits from traits.HasTraits.
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``BaseInterfaceInputSpec``: Defines inputs common to all
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``BaseInterfaceInputSpec``: Defines inputs common to all
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Interfaces (``ignore_exception``). If in doubt inherit from this.
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``CommandLineInputSpec``: Defines inputs common to all
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(``outputtype``)
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``SPMCommandInputSpec``: Defines inputs common to all SPM classes (``matlab_cmd``, ``path``, and ``mfile``)
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``FSTraitedSpec``: Defines inputs common to all FreeSurfer classes
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(``sbjects_dir``)
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``MatlabInputSpec``: Defines inputs common to all Matlab classes (``script``, ``nodesktop``, ``nosplash``, ``logfile``, ``single_comp_thread``, ``mfile``, ``script_file``, and ``paths``)
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``SlicerCommandLineInputSpec``: Defines inputs common to all Slicer classes (``module``)
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Most developers will only need to code at the the interface-level (i.e. implementing custom class inheriting from one of the above classes).
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self.error( object, name, value )
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File "/Users/cburns/local/lib/python2.5/site-packages/enthought/traits/trait_handlers.py", line 175, in error
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value )
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TraitError: The 'infile' trait of a BetInputSpec instance must be a file
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TraitError: The 'infile' trait of a BetInputSpec instance must be a file
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name, but a value of 'does_not_exist.nii' <type 'str'> was specified.
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``hash_files``
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To be used with inputs that are defining output filenames. When this flag
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is set to false any Nipype will not try to hash any files described by this
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input. This is useful to avoid rerunning when the specified output file
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already exists and has changed.
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``desc``
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All trait objects have a set of default metadata attributes. ``desc``
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is one of those and is used as a simple, one-line docstring. The
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``desc`` is printed when users use the ``help()`` methods.
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**Required:** This metadata is required by all nipype interface
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classes.
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``usedefault``
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Set this metadata to True when the *default value* for the trait type
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of this attribute is an acceptable value. All trait objects have a
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<undefined>
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>>> rlgn.inputs.jobtype
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'estwrite'
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``xor`` and ``requires``
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Both of these accept a list of trait names. The ``xor`` metadata reflects
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mutually exclusive traits, while the requires metadata reflects traits
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the help function.
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``copyfile``
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This is metadata for a File or Directory trait that is relevant only in
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the context of wrapping an interface in a `Node` and `MapNode`. `copyfile`
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can be set to either `True` or `False`. `False` indicates that contents
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should be symlinked, while `True` indicates that the contents should be
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This is metadata for a File or Directory trait that is relevant only in
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the context of wrapping an interface in a `Node` and `MapNode`. `copyfile`
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can be set to either `True` or `False`. `False` indicates that contents
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should be symlinked, while `True` indicates that the contents should be
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copied over.
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``min_ver`` and ``max_ver``
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generated for this parameter *if-and-only-if* the user did not provide
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one. The nipype convention is to automatically generate output
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filenames when not specified by the user both as a convenience for the
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user and so the pipeline can easily gather the outputs. Requires
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user and so the pipeline can easily gather the outputs. Requires
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``_gen_filename()`` method to be implemented. This way should be used if the
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desired file name is dependent on some runtime variables (such as file name
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of one of the inputs, or current working directory). In case when it should
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of one of the inputs, or current working directory). In case when it should
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be fixed it's recommended to just use ``usedefault``.
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``sep``
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* ``output_spec``: the OutputSpec
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* ``_list_outputs()``: Returns a dictionary containing names of generated files that are expected after package completes execution. This is used by ``BaseInterface.aggregate_outputs`` to gather all output files for the pipeline.
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