docstr: Checks if the verbose param applied to the pipeline is changing the verbosity level in the
  contained transformers.
docstr_tok: ["Checks","if","the","verbose","param","applied","to","the","pipeline","is","changing","the","verbosity","level","in","the","contained","transformers","."]
code: def test_pipeline_verbose(self):
      """
      Checks if the verbose param applied to the pipeline is changing the verbosity level in the
      contained transformers.
      """
  
      def plus_ten(x):
          return x + 10
  
      mapper = Mapper(fn=plus_ten, verbose=True)
      mapper_inv = InvertibleMapper(
          fn=lambda x: x + 2, inverse_fn=lambda x: x - 2, verbose=True
      )
  
      verbose_value = False
      pipeline = Pipeline([mapper, mapper_inv], verbose=verbose_value)
  
      for transformer in pipeline:
          assert transformer._verbose == verbose_value
  
imports: from typing import Any, Mapping
  import pytest
  from darts import TimeSeries
  from darts.dataprocessing import Pipeline
  from darts.dataprocessing.transformers import BaseDataTransformer, FittableDataTransformer, InvertibleDataTransformer, InvertibleMapper, Mapper
  from darts.utils.timeseries_generation import constant_timeseries
label_desc: Use image node_id 13 for calling the TestPipeline obj's underlying member method code with example usage: obj.test_pipeline_verbose() and returns: unknown