code: def get_unimproveable_data():
      """Create simple dataset which will not allow to improve metric values"""
      features = np.array(
          [
              [0, 1],
              [0, 2],
              [0, 3],
              [0, 4],
              [0, 5],
              [1, 101],
              [1, 102],
              [1, 103],
              [1, 104],
              [1, 105],
          ]
      )
      target = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1])
      input_data = InputData(
          idx=np.arange(0, 10),
          features=features,
          target=target,
          task=Task(TaskTypesEnum.classification),
          data_type=DataTypesEnum.table,
      )
  
      return input_data
  
imports: import datetime
  from pathlib import Path
  import numpy
  import pandas
  import pytest
  from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
  from golem.core.optimisers.genetic.operators.inheritance import GeneticSchemeTypesEnum
  from golem.core.optimisers.genetic.operators.selection import SelectionTypesEnum
  from golem.core.optimisers.random.random_search import RandomSearchOptimizer
  from sklearn.metrics import roc_auc_score
  from fedot import Fedot
  from fedot.core.caching.pipelines_cache import OperationsCache
  from fedot.core.composer.composer_builder import ComposerBuilder
  from fedot.core.composer.random_composer import RandomSearchComposer
  from fedot.core.data.data import InputData
  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.pipeline_graph_generation_params import get_pipeline_generation_params
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.operation_types_repository import OperationTypesRepository, get_operations_for_task
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum, ComplexityMetricsEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import fedot_project_root, set_random_seed
  from test.unit.pipelines.test_pipeline_comparison import pipeline_first, pipeline_second
label_desc: Use image node_id 3 for calling a global function with example usage: get_unimproveable_data() and returns: input_data