code: """
  Trading-Technical-Indicators (tti) python library
  
  File name: test_indicator_market_facilitation_index.py
      tti.indicators package, _market_facilitation_index.py module unit tests.
  """
  
  import unittest
  import tti.indicators
  from test_indicators_common import TestIndicatorsCommon
  
  import pandas as pd
  import re
  
  
  class TestMarketFacilitationIndex(unittest.TestCase, TestIndicatorsCommon):
  
      precision = 10
  
      indicator = tti.indicators.MarketFacilitationIndex
  
      ti_data_rows = [0, 1, 2]
  
      df = pd.read_csv('./data/sample_data.csv', parse_dates=True, index_col=0)
  
      indicator_input_arguments = {}
  
      indicator_other_input_arguments = []
  
      indicator_minimum_required_data = 1
  
      mandatory_arguments_missing_cases = []
  
      required_input_data_columns = ["high", "low", "volume"]
  
      arguments_wrong_type = [
          {'input_data': 'No_DataFrame'},
          {'input_data': df, 'fill_missing_values': 'no_boolean'}
      ]
  
      arguments_wrong_value = []
  
      graph_file_name = '_'.join(
          x.lower() for x in re.findall('[A-Z][^A-Z]*', str(
              indicator).split('.')[-1][:-2]))
  
      graph_file_name = './figures/test_' + graph_file_name + '.png'
  
      indicator_test_data_file_name = '_'.join(
          x.lower() for x in re.findall('[A-Z][^A-Z]*', str(
              indicator).split('.')[-1][:-2]))
  
      indicator_test_data_file_name = \
          './data/test_' + indicator_test_data_file_name + '_on_sample_data.csv'
  
      assertRaises = unittest.TestCase.assertRaises
      assertEqual = unittest.TestCase.assertEqual
      assertIn = unittest.TestCase.assertIn
      subTest = unittest.TestCase.subTest
  
  
  if __name__ == '__main__':
      unittest.main()
  
apis: pandas.read_csv