






"""simple docstring"""





def 						_A						(						UpperCamelCase_  : str)			->		int:
   '''simple docstring'''


   __lowercase			=		str(UpperCamelCase_).strip()
   if not bin_string:
      raise ValueError("Empty string was passed to the function")
   __lowercase			=		bin_string[0] == "-"
   if is_negative:
      __lowercase			=		bin_string[1:]
   if not all(char in "01" for char in bin_string):
      raise ValueError("Non-binary value was passed to the function")
   __lowercase			=		0
   for char in bin_string:
      __lowercase			=		2 * decimal_number + int(UpperCamelCase_)
   return -decimal_number if is_negative else decimal_number


if __name__ == "__main__":
   from doctest import testmod

   testmod()







"""simple docstring"""





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						(						UpperCamelCase_  : str)			->		Tuple:
   '''simple docstring'''


   __lowercase			=		tmp_path / "file.jsonl"
   __lowercase			=		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 						_A						(						UpperCamelCase_  : str)			->		Any:
   '''simple docstring'''


   __lowercase			=		tmp_path / "file_utf16_encoded.jsonl"
   __lowercase			=		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 						_A						(						UpperCamelCase_  : Optional[int])			->		Optional[Any]:
   '''simple docstring'''


   __lowercase			=		tmp_path / "file_with_list_of_dicts.json"
   __lowercase			=		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 						_A						(						UpperCamelCase_  : str)			->		int:
   '''simple docstring'''


   __lowercase			=		tmp_path / "file_with_list_of_dicts_field.json"
   __lowercase			=		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 						_A						(						UpperCamelCase_  : Any,    UpperCamelCase_  : List[Any],    UpperCamelCase_  : Optional[Any])			->		List[Any]:
   '''simple docstring'''


   __lowercase			=		Json(**UpperCamelCase_)
   __lowercase			=		json._generate_tables([[request.getfixturevalue(UpperCamelCase_)]])
   __lowercase			=		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						(						UpperCamelCase_  : Optional[int],    UpperCamelCase_  : int,    UpperCamelCase_  : str)			->		Optional[int]:
   '''simple docstring'''


   __lowercase			=		Json(**UpperCamelCase_)
   __lowercase			=		json._generate_tables([[request.getfixturevalue(UpperCamelCase_)]])
   __lowercase			=		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]}




