class_docstr: Represents an output destination for a `DAGPipeline`.
  
  Each `DagOutput(name)` instance given to DAGPipeline will
  be a final output bucket with the same name. If writing
  output buckets to disk, the names become dataset names.
  
  The name can be omitted if connecting `DagOutput()` to a
  dictionary mapping names to pipelines.
class_docstr_tok: ["Represents","an","output","destination","for","a","`","DAGPipeline","`",".","Each","`","DagOutput","(","name",")","`","instance","given","to","DAGPipeline","will","be","a","final","output","bucket","with","the","same","name",".","If","writing","output","buckets","to","disk",",","the","names","become","dataset","names",".","The","name","can","be","omitted","if","connecting","`","DagOutput","(",")","`","to","a","dictionary","mapping","names","to","pipelines","."]
code: def __hash__(self):
      return hash(self.name)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from magenta.pipelines import pipeline
  import six
label_desc: Use image node_id 3 for calling the DagOutput obj's underlying member method code with example usage: obj.__hash__() and returns: hash