code: def get_classification_data():
      file_path = fedot_project_root().joinpath(
          "test/data/simple_classification.csv"
      )
      input_data = InputData.from_csv(
          file_path, task=Task(TaskTypesEnum.classification)
      )
      return input_data
  
imports: import logging
  from datetime import timedelta
  import pytest
  from golem.core.tuning.simultaneous import SimultaneousTuner
  from fedot import Fedot
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.optimisers.objective import PipelineObjectiveEvaluate
  from fedot.core.optimisers.objective.data_source_splitter import DataSourceSplitter
  from fedot.core.optimisers.objective.metrics_objective import MetricsObjective
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.pipeline_composer_requirements import PipelineComposerRequirements
  from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder
  from fedot.core.repository.operation_types_repository import OperationTypesRepository
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import fedot_project_root
  from test.integration.models.test_model import classification_dataset
  from test.unit.tasks.test_classification import get_iris_data, pipeline_simple
label_desc: Use image node_id 2 for calling a global function with example usage: get_classification_data() and returns: input_data