class_docstr: Output contrast related to a T contrast from a GLM pass through data.
code: def __init__(self, contrast, effect=None, sd=None, t=None):
      # Returns a list of arrays, being [effect, sd, t] when all these are not
      # None
      # Compile list of desired return values
      retvals = []
      # Set self.list to contain selected input catching objects
      self.list = []
      if effect is not None:
          retvals.append("effect")
          self.list.append(effect)
      if sd is not None:
          retvals.append("sd")
          self.list.append(sd)
      if t is not None:
          retvals.append("t")
          self.list.append(t)
      # Set return function to return selected inputs
      self.fn = lambda x: output_T(x, contrast, retvals)
  
file_path: nipy/nipy/modalities/fmri/fmristat/outputters.py
imports: import numpy
label_desc: Use image node_id 1 to create a new TOutput object from inherited base classes: RegressionOutputList with example: obj = TOutput(contrast, effect, sd, t)