original_docstring: Returns PTransform for converting input source to TF examples.
  
      Note that each input split will be transformed by this function separately.
      For complex use case, consider override 'GenerateExamplesByBeam' instead.
  
      Here is an example PTransform:
        @beam.ptransform_fn
        @beam.typehints.with_input_types(beam.Pipeline)
        @beam.typehints.with_output_types(tf.train.Example)
        def ExamplePTransform(
            pipeline: beam.Pipeline,
            input_dict: Dict[Text, List[types.TfxArtifact]],
            exec_properties: Dict[Text, Any],
            split_pattern: Text) -> beam.pvalue.PCollection
      
docstring: Returns PTransform for converting input source to TF examples.
  Note that each input split will be transformed by this function separately.
  For complex use case, consider override 'GenerateExamplesByBeam' instead.
  
  
docstring_tokens: Returns PTransform for converting input source to TF examples . Note that each input split will be transformed by this function separately . For complex use case consider override ' GenerateExamplesByBeam ' instead .
code: def GetInputSourceToExamplePTransform(self) -> beam.PTransform:
      """Returns PTransform for converting input source to TF examples.
  
      Note that each input split will be transformed by this function separately.
      For complex use case, consider override 'GenerateExamplesByBeam' instead.
  
      Here is an example PTransform:
        @beam.ptransform_fn
        @beam.typehints.with_input_types(beam.Pipeline)
        @beam.typehints.with_output_types(tf.train.Example)
        def ExamplePTransform(
            pipeline: beam.Pipeline,
            input_dict: Dict[Text, List[types.TfxArtifact]],
            exec_properties: Dict[Text, Any],
            split_pattern: Text) -> beam.pvalue.PCollection
      """
      pass
code_tokens: def GetInputSourceToExamplePTransform ( self ) -> beam . PTransform : pass
short_docstring: Returns PTransform for converting input source to TF examples.
short_docstring_tokens: Returns PTransform for converting input source to TF examples .
comment: """Returns PTransform for converting input source to TF examples.
  
      Note that each input split will be transformed by this function separately.
      For complex use case, consider override 'GenerateExamplesByBeam' instead.
  
      Here is an example PTransform:
        @beam.ptransform_fn
        @beam.typehints.with_input_types(beam.Pipeline)
        @beam.typehints.with_output_types(tf.train.Example)
        def ExamplePTransform(
            pipeline: beam.Pipeline,
            input_dict: Dict[Text, List[types.TfxArtifact]],
            exec_properties: Dict[Text, Any],
            split_pattern: Text) -> beam.pvalue.PCollection
      """