code: 
  
  
  import textwrap
  
  import pyarrow as pa
  import pytest
  
  from datasets import Features, Value
  from datasets.packaged_modules.json.json import Json
  
  
  @pytest.fixture
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  Union[str, Any]:
  						_a     =			tmp_path / 'file.jsonl'
  						_a     =			textwrap.dedent(
  						    '\\n        {"col_1": -1}\n        {"col_1": 1, "col_2": 2}\n        {"col_1": 10, "col_2": 20}\n        '				)
  						with open(_UpperCAmelCase							,     'w'				) as f:
  												f.write(_UpperCAmelCase				)
  						return str(_UpperCAmelCase				)
  
  
  @pytest.fixture
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  int:
  						_a     =			tmp_path / 'file_utf16_encoded.jsonl'
  						_a     =			textwrap.dedent(
  						    '\\n        {"col_1": -1}\n        {"col_1": 1, "col_2": 2}\n        {"col_1": 10, "col_2": 20}\n        '				)
  						with open(_UpperCAmelCase							,     'w'							,     encoding='utf-16'				) as f:
  												f.write(_UpperCAmelCase				)
  						return str(_UpperCAmelCase				)
  
  
  @pytest.fixture
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  int:
  						_a     =			tmp_path / 'file_with_list_of_dicts.json'
  						_a     =			textwrap.dedent(
  						    '\\n        [\n            {"col_1": -1},\n            {"col_1": 1, "col_2": 2},\n            {"col_1": 10, "col_2": 20}\n        ]\n        '				)
  						with open(_UpperCAmelCase							,     'w'				) as f:
  												f.write(_UpperCAmelCase				)
  						return str(_UpperCAmelCase				)
  
  
  @pytest.fixture
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  str:
  						_a     =			tmp_path / 'file_with_list_of_dicts_field.json'
  						_a     =			textwrap.dedent(
  						    '\\n        {\n            "field1": 1,\n            "field2": "aabb",\n            "field3": [\n                {"col_1": -1},\n                {"col_1": 1, "col_2": 2},\n                {"col_1": 10, "col_2": 20}\n            ]\n        }\n        '				)
  						with open(_UpperCAmelCase							,     'w'				) as f:
  												f.write(_UpperCAmelCase				)
  						return str(_UpperCAmelCase				)
  
  
  @pytest.mark.parametrize(
      'file_fixture, config_kwargs'							,     [
          ('jsonl_file', {}),
          ('jsonl_file_utf16_encoded', {'encoding': 'utf-16'}),
          ('json_file_with_list_of_dicts', {}),
          ('json_file_with_list_of_dicts_field', {'field': 'field3'}),
      ]							,     )
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  str:
  						_a     =			Json(**_UpperCAmelCase				)
  						_a     =			json._generate_tables([[request.getfixturevalue(_UpperCAmelCase				)]]				)
  						_a     =			pa.concat_tables([table for _, table in generator]				)
  						assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}
  
  
  
  
  
  
  @pytest.mark.parametrize(
      'file_fixture, config_kwargs'							,     [
          (
              'jsonl_file',
              {'features': Features({'col_1': Value('int64'				), 'col_2': Value('int64'				), 'missing_col': Value('string'				)}				)},
          ),
          (
              'json_file_with_list_of_dicts',
              {'features': Features({'col_1': Value('int64'				), 'col_2': Value('int64'				), 'missing_col': Value('string'				)}				)},
          ),
          (
              'json_file_with_list_of_dicts_field',
              {
                  'field': 'field3',
                  'features': Features(
                      {'col_1': Value('int64'				), 'col_2': Value('int64'				), 'missing_col': Value('string'				)}				),
              },
          ),
      ]							,     )
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  Any:
  						_a     =			Json(**_UpperCAmelCase				)
  						_a     =			json._generate_tables([[request.getfixturevalue(_UpperCAmelCase				)]]				)
  						_a     =			pa.concat_tables([table for _, table in generator]				)
  						assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}
  
  
  
style_context: 
  
  
  import math
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  float:
  						_a     =			math.log(2							,     10				) * number
  						_a     =			round((log_number - int(_UpperCAmelCase				))							,     15				)
  
  						return difference
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase = 678910				)    ->  int:
  						_a     =			90
  						_a     =			0
  
  						_a     =			math.log(1.23							,     10				)
  						_a     =			math.log(1.24							,     10				)
  						_a     =			0
  
  						while position < number:
  												_a     =			log_difference(_UpperCAmelCase				)
  
  												if difference >= upper_limit:
  																		power_iterator += 93
  
  												elif difference < lower_limit:
  																		power_iterator += 196
  
  												else:
  																		_a     =			power_iterator
  																		power_iterator += 196
  																		position += 1
  
  						return previous_power
  
  
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  
  		print(f"""{solution() = }""")
  
  
  