code: def test_binary_pseudo_string_column_process_correctly():
      """Checks if pseudo strings with int/float values in it process correctly with binary classification"""
      task = Task(TaskTypesEnum.classification)
      features = np.array(
          [
              ["1"],
              ["1.0"],
              ["0.0"],
              ["1"],
              ["1.0"],
              ["0"],
              ["0.0"],
              ["1"],
          ],
          dtype=object,
      )
      target = np.array(
          [
              ["no"],
              ["yes"],
              ["yes"],
              ["yes"],
              ["no"],
              ["no"],
              ["no"],
              ["no"],
          ]
      )
      input_data = InputData(
          idx=np.arange(8),
          features=features,
          target=target,
          task=task,
          data_type=DataTypesEnum.table,
      )
  
      train_data, test_data = train_test_data_setup(
          input_data, split_ratio=0.9
      )
  
      pipeline = Pipeline(PipelineNode("dt"))
      pipeline = correct_preprocessing_params(pipeline)
      train_predicted = pipeline.fit(train_data)
  
      assert train_predicted.features.shape[1] == 1
      assert all(
          isinstance(el[0], float) for el in train_predicted.features
      )
  
imports: import numpy
  import pandas
  from golem.core.log import default_log
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import fedot_project_root
  from fedot.preprocessing.data_types import TYPE_TO_ID
  from fedot.preprocessing.data_types import TableTypesCorrector, apply_type_transformation
  from fedot.preprocessing.structure import DEFAULT_SOURCE_NAME
  from test.unit.preprocessing.test_pipeline_preprocessing import correct_preprocessing_params, data_with_mixed_types_in_each_column
label_desc: Use image node_id 9 for calling a global function with example usage: test_binary_pseudo_string_column_process_correctly() without return types