code: def test_large_pipeline_create(sagemaker_session_mock, role_arn):
      sagemaker_session_mock.sagemaker_config = {}
      parameter = ParameterString("MyStr")
      pipeline = Pipeline(
          name="MyPipeline",
          parameters=[parameter],
          steps=_generate_large_pipeline_steps(parameter),
          sagemaker_session=sagemaker_session_mock,
      )
  
      pipeline.create(role_arn=role_arn)
  
      assert s3.S3Uploader.upload_string_as_file_body.called_with(
          body=pipeline.definition(), s3_uri="s3://s3_bucket/MyPipeline"
      )
  
      assert sagemaker_session_mock.sagemaker_client.create_pipeline.called_with(
          PipelineName="MyPipeline",
          PipelineDefinitionS3Location={
              "Bucket": "s3_bucket",
              "ObjectKey": "MyPipeline",
          },
          RoleArn=role_arn,
      )
  
imports: from __future__ import absolute_import
  import copy
  import json
  import pytest
  from mock import Mock, call, patch
  from sagemaker import s3
  from sagemaker.remote_function.job import _JobSettings
  from sagemaker.session_settings import SessionSettings
  from sagemaker.workflow.condition_step import ConditionStep
  from sagemaker.workflow.conditions import ConditionEquals
  from sagemaker.workflow.execution_variables import ExecutionVariables
  from sagemaker.workflow.function_step import DelayedReturn, step
  from sagemaker.workflow.functions import JsonGet, Join
  from sagemaker.workflow.parameters import ParameterString
  from sagemaker.workflow.pipeline import Pipeline, PipelineGraph, _replace_pipeline_name_in_json_get_s3_uri
  from sagemaker.workflow.pipeline_context import _PipelineConfig
  from sagemaker.workflow.pipeline_definition_config import PipelineDefinitionConfig
  from sagemaker.workflow.pipeline_experiment_config import PipelineExperimentConfig, PipelineExperimentConfigProperties
  from sagemaker.workflow.step_collections import StepCollection
  from tests.unit.sagemaker.workflow.helpers import ordered, CustomStep, CustomFunctionStep
  from sagemaker.local.local_session import LocalSession
  from botocore.exceptions import ClientError
  from sagemaker.workflow.selective_execution_config import SelectiveExecutionConfig
label_desc: Use image node_id 7 for calling a global function with example usage: test_large_pipeline_create(sagemaker_session_mock, role_arn) without return types