code: def test_apply_on_pipeline_with_positional_argument_should_call_method_on_each_steps():
      pipeline = Pipeline([MultiplyByN(1), MultiplyByN(1)])
  
      pipeline.apply(
          "_set_hyperparams",
          hyperparams=HyperparameterSamples(
              {
                  "multiply_by": 2,
                  "MultiplyByN__multiply_by": 3,
                  "MultiplyByN1__multiply_by": 4,
              }
          ),
      )
  
      assert pipeline.get_hyperparams()["multiply_by"] == 2
      assert (
          pipeline["MultiplyByN"].get_hyperparams()["multiply_by"] == 3
      )
      assert (
          pipeline["MultiplyByN1"].get_hyperparams()["multiply_by"] == 4
      )
  
imports: import pytest
  from neuraxle.base import BaseStep
  from neuraxle.base import ExecutionContext
  from neuraxle.base import Identity, NonFittableMixin
  from neuraxle.data_container import DataContainer
  from neuraxle.hyperparams.space import HyperparameterSamples
  from neuraxle.pipeline import Pipeline
  from neuraxle.steps.flow import OptionalStep
  from neuraxle.steps.numpy import MultiplyByN
  from neuraxle.steps.output_handlers import OutputTransformerWrapper
label_desc: Use image node_id 1 for calling a global function with example usage: test_apply_on_pipeline_with_positional_argument_should_call_method_on_each_steps() without return types