code: def test_define_index_from_csv_without_index_column():
      dummy_csv_path = fedot_project_root().joinpath(
          "test/data/dummy.csv"
      )
      df = get_df_from_csv(
          dummy_csv_path, delimiter=",", possible_idx_keywords=["some"]
      )
      assert df.index.name is None
      assert np.array_equal(df.index, [0, 1, 2])
      assert np.array_equal(df.columns, ["a", "b", "c"])
      assert np.array_equal(
          df, list(zip([1, 2, 3], [4, 5, 6], [7, 8, 9]))
      )
  
imports: import os
  from copy import deepcopy, copy
  import numpy
  import pandas
  import pytest
  from sklearn.datasets import load_iris
  from fedot.core.data.data import InputData, get_df_from_csv
  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 test.unit.tasks.test_forecasting import get_ts_data_with_dt_idx
label_desc: Use image node_id 13 for calling a global function with example usage: test_define_index_from_csv_without_index_column() without return types