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 				a__	(	lowerCAmelCase						)  ->   List[str]:
        UpperCAmelCase__ :       Union[str, Any]						=						tmp_path / """file.jsonl"""
        UpperCAmelCase__ :       Optional[int]						=						textwrap.dedent(
            """\
          {\"col_1\": -1}
          {\"col_1\": 1, \"col_2\": 2}
          {\"col_1\": 10, \"col_2\": 20}
          """						)
        with open(__snake_case ,  """w"""						) as f:
              f.write(__snake_case						)
        return str(__snake_case						)
  
  
  
  
  @pytest.fixture
  def 				a__	(	lowerCAmelCase						)  ->   Tuple:
        UpperCAmelCase__ :       Tuple						=						tmp_path / """file_utf16_encoded.jsonl"""
        UpperCAmelCase__ :       Optional[Any]						=						textwrap.dedent(
            """\
          {\"col_1\": -1}
          {\"col_1\": 1, \"col_2\": 2}
          {\"col_1\": 10, \"col_2\": 20}
          """						)
        with open(__snake_case ,  """w""" ,  encoding="""utf-16"""						) as f:
              f.write(__snake_case						)
        return str(__snake_case						)
  
  
  
  
  @pytest.fixture
  def 				a__	(	lowerCAmelCase						)  ->   Union[str, Any]:
        UpperCAmelCase__ :       List[str]						=						tmp_path / """file_with_list_of_dicts.json"""
        UpperCAmelCase__ :       Tuple						=						textwrap.dedent(
            """\
          [
              {\"col_1\": -1},
              {\"col_1\": 1, \"col_2\": 2},
              {\"col_1\": 10, \"col_2\": 20}
          ]
          """						)
        with open(__snake_case ,  """w"""						) as f:
              f.write(__snake_case						)
        return str(__snake_case						)
  
  
  
  
  @pytest.fixture
  def 				a__	(	lowerCAmelCase						)  ->   Optional[int]:
        UpperCAmelCase__ :       Union[str, Any]						=						tmp_path / """file_with_list_of_dicts_field.json"""
        UpperCAmelCase__ :       int						=						textwrap.dedent(
            """\
          {
              \"field1\": 1,
              \"field2\": \"aabb\",
              \"field3\": [
                  {\"col_1\": -1},
                  {\"col_1\": 1, \"col_2\": 2},
                  {\"col_1\": 10, \"col_2\": 20}
              ]
          }
          """						)
        with open(__snake_case ,  """w"""						) as f:
              f.write(__snake_case						)
        return str(__snake_case						)
  
  
  
  
  @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 				a__	(	lowerCAmelCase ,  lowerCAmelCase ,  lowerCAmelCase						)  ->   Union[str, Any]:
        UpperCAmelCase__ :       List[Any]						=						Json(**__snake_case						)
        UpperCAmelCase__ :       Union[str, Any]						=						json._generate_tables([[request.getfixturevalue(__snake_case						)]]						)
        UpperCAmelCase__ :       int						=						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 				a__	(	lowerCAmelCase ,  lowerCAmelCase ,  lowerCAmelCase						)  ->   Optional[Any]:
        UpperCAmelCase__ :       Optional[int]						=						Json(**__snake_case						)
        UpperCAmelCase__ :       int						=						json._generate_tables([[request.getfixturevalue(__snake_case						)]]						)
        UpperCAmelCase__ :       List[str]						=						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: 
  
  """simple docstring"""
  from __future__ import annotations
  
  
  
  
  def 				a__	(	lowerCAmelCase						)  ->   set[int]:
        UpperCAmelCase__ :       List[Any]						=						{1}
        UpperCAmelCase__ :       Optional[int]						=						[1]
        for _ in range(2 ,  depth + 1						):
              UpperCAmelCase__ :       Tuple						=						[*previous_coefficients, 0]
              UpperCAmelCase__ :       List[str]						=						[0, *previous_coefficients]
              UpperCAmelCase__ :       Dict						=						[]
              for x, y in zip(lowerCAmelCase ,  lowerCAmelCase						):
                    coefficients.add(x + y						)
                    previous_coefficients.append(x + y						)
        return coefficients
  
  
  
  
  def 				a__	(	lowerCAmelCase						)  ->   set[int]:
        UpperCAmelCase__ :       List[str]						=						set()
        for number in unique_coefficients:
              UpperCAmelCase__ :       int						=						2
              UpperCAmelCase__ :       List[Any]						=						number
              while divisor**2 <= copy_number:
                    UpperCAmelCase__ :       Tuple						=						0
                    while copy_number % divisor == 0:
                          copy_number //= divisor
                          multiplicity += 1
                    if multiplicity >= 2:
                          non_squarefrees.add(lowerCAmelCase						)
                          break
                    divisor += 1
  
        return unique_coefficients.difference(lowerCAmelCase						)
  
  
  
  
  def 				a__	(	lowerCAmelCase = 51						)  ->   int:
        UpperCAmelCase__ :       Any						=						get_pascal_triangle_unique_coefficients(lowerCAmelCase						)
        UpperCAmelCase__ :       Dict						=						get_squarefrees(lowerCAmelCase						)
        return sum(lowerCAmelCase						)
  
  
  if __name__ == "__main__":
      print(f'''{solution() = }''')
  
  