xcp_d.interfaces.workbench.ChangeXfmType

class xcp_d.interfaces.workbench.ChangeXfmType(from_file=None, resource_monitor=None, **inputs)

Change transform type.

Mandatory Inputs:

in_transform (a pathlike object or string representing an existing file) – Maps to a command-line argument: %s (position: 0).

Optional Inputs:

• args (a string) – Additional parameters to the command. Maps to a command-line argument: %s.

• environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value: {})

Outputs:

out_transform (a pathlike object or string representing an existing file)

__init__(from_file=None, resource_monitor=None, **inputs)

Subclasses must implement __init__

Methods

__init__([from_file, resource_monitor])	Subclasses must implement __init__
aggregate_outputs([runtime, needed_outputs])	Collate expected outputs and apply output traits validation.
help([returnhelp])	Prints class help
load_inputs_from_json(json_file[, overwrite])	A convenient way to load pre-set inputs from a JSON file.
run([cwd, ignore_exception])	Execute this interface.
save_inputs_to_json(json_file)	A convenient way to save current inputs to a JSON file.

Attributes

always_run	Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.
can_resume	Defines if the interface can reuse partial results after interruption.
resource_monitor
version	interfaces should implement a version property