code: def test_specs():
      return {
          "number_of_rows": 1000,
          "seed": 123,
          "ratio": 0.6,
          "ratios": [0.2, 0.3, 0.5],
          "split_numbers": [2, 3, 5],
          "tolerance": 0.01,
          "number_of_items": 50,
          "number_of_users": 20,
          "fluctuation": 0.02,
      }
  
file_path: recommenders/tests/unit/recommenders/datasets/test_python_splitter.py
imports: import pytest
  import pandas
  import numpy
  from recommenders.utils.constants import DEFAULT_USER_COL, DEFAULT_ITEM_COL, DEFAULT_RATING_COL, DEFAULT_TIMESTAMP_COL
  from recommenders.datasets.split_utils import min_rating_filter_pandas, split_pandas_data_with_ratios
  from recommenders.datasets.python_splitters import python_chrono_split, python_random_split, python_stratified_split, numpy_stratified_split
label_desc: Use image node_id 1 for calling a global function with example usage: test_specs() and returns: dict