class_docstr: Create a Gumble distribution object
  
  Parameters
  ----------
  loc : Tensor or scalar, default 0
      Location parameter of the distribution.
  scale : Tensor or scalar, default 1
      Scale parameter of the distribution
class_docstr_tok: ["Create","a","Gumble","distribution","object","Parameters","--","--","--","--","--","loc",":","Tensor","or","scalar",",","default","0","Location","parameter","of","the","distribution",".","scale",":","Tensor","or","scalar",",","default","1","Scale","parameter","of","the","distribution"]
code: def __init__(self, loc, scale=1, validate_args=None):
      self.loc = loc
      self.scale = scale
      super(Gumbel, self).__init__(
          event_dim=0, validate_args=validate_args
      )
  
file_path: mxnet/python/mxnet/gluon/probability/distributions/gumbel.py
imports: import math
  from numpy import euler_gamma
  from .distribution import Distribution
  from .constraint import Real, Positive
  from .utils import sample_n_shape_converter
  from ....None import np
label_desc: Use image node_id 1 to create a new Gumbel object from inherited base classes: Distribution with example: obj = Gumbel(loc, scale, validate_args)