class_docstr: Results from a t :term:`contrast` of coefficients in a parametric model.
  
  The class does nothing.
  It is a container for the results from T :term:`contrasts<contrast>`,
  and returns the T-statistics when np.asarray is called.
class_docstr_tok: ["Results","from","a","t",":","term",":","`","contrast","`","of","coefficients","in","a","parametric","model",".","The","class","does","nothing",".","It","is","a","container","for","the","results","from","T",":","term",":","`","contrasts","<","contrast",">","`",",","and","returns","the","T-statistics","when","np.asarray","is","called","."]
code: def __str__(self):
      return (
          "<T contrast: "
          f"effect={self.effect}, "
          f"sd={self.sd}, "
          f"t={self.t}, "
          f"df_den={self.df_den}>"
      )
  
imports: import numpy
  from nibabel.onetime import auto_attr
  from scipy.linalg import inv
  from scipy.stats import t
  from nilearn.glm._utils import pad_contrast, positive_reciprocal
label_desc: Use image node_id 3 for calling the TContrastResults obj's underlying member method code with example usage: obj.__str__() and returns: str, self, str, self, str, self, str, self, str