




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   (   _SCREAMING_SNAKE_CASE					)			->				List[str]:
       lowerCamelCase     :   int    				=      tmp_path / "file.jsonl"
       lowerCamelCase     :   int    				=      textwrap.dedent(
           "\\n        {\"col_1\": -1}\n        {\"col_1\": 1, \"col_2\": 2}\n        {\"col_1\": 10, \"col_2\": 20}\n        "					)
       with open(_SCREAMING_SNAKE_CASE				,"w"					) as f:
              f.write(_SCREAMING_SNAKE_CASE					)
       return str(_SCREAMING_SNAKE_CASE					)

@pytest.fixture
def   A   (   _SCREAMING_SNAKE_CASE					)			->				str:
       lowerCamelCase     :   str    				=      tmp_path / "file_utf16_encoded.jsonl"
       lowerCamelCase     :   Dict    				=      textwrap.dedent(
           "\\n        {\"col_1\": -1}\n        {\"col_1\": 1, \"col_2\": 2}\n        {\"col_1\": 10, \"col_2\": 20}\n        "					)
       with open(_SCREAMING_SNAKE_CASE				,"w"				,encoding="utf-16"					) as f:
              f.write(_SCREAMING_SNAKE_CASE					)
       return str(_SCREAMING_SNAKE_CASE					)

@pytest.fixture
def   A   (   _SCREAMING_SNAKE_CASE					)			->				Any:
       lowerCamelCase     :   Union[str, Any]    				=      tmp_path / "file_with_list_of_dicts.json"
       lowerCamelCase     :   Optional[int]    				=      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(_SCREAMING_SNAKE_CASE				,"w"					) as f:
              f.write(_SCREAMING_SNAKE_CASE					)
       return str(_SCREAMING_SNAKE_CASE					)

@pytest.fixture
def   A   (   _SCREAMING_SNAKE_CASE					)			->				Tuple:
       lowerCamelCase     :   str    				=      tmp_path / "file_with_list_of_dicts_field.json"
       lowerCamelCase     :   Any    				=      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(_SCREAMING_SNAKE_CASE				,"w"					) as f:
              f.write(_SCREAMING_SNAKE_CASE					)
       return str(_SCREAMING_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   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				Optional[int]:
       lowerCamelCase     :   Union[str, Any]    				=      Json(**_SCREAMING_SNAKE_CASE					)
       lowerCamelCase     :   int    				=      json._generate_tables([[request.getfixturevalue(_SCREAMING_SNAKE_CASE					)]]					)
       lowerCamelCase     :   str    				=      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   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				Dict:
       lowerCamelCase     :   Union[str, Any]    				=      Json(**_SCREAMING_SNAKE_CASE					)
       lowerCamelCase     :   List[str]    				=      json._generate_tables([[request.getfixturevalue(_SCREAMING_SNAKE_CASE					)]]					)
       lowerCamelCase     :   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]}












SCREAMING_SNAKE_CASE__ :   str						=     {
    '+': lambda x, y: x + y,
    '-': lambda x, y: x - y,
    '*': lambda x, y: x * y,
    '/': lambda x, y: x / y,
}

def   A   (   _SCREAMING_SNAKE_CASE					)			->				List[str]:
       return c.isdigit()

def   A   (   _SCREAMING_SNAKE_CASE					)			->				Optional[Any]:
       lowerCamelCase     :   Tuple    				=      []

       # iterate over the string in reverse order
       for c in expression.split()[::-1]:
              # push operand to stack
              if is_operand(_SCREAMING_SNAKE_CASE					):
                     stack.append(int(_SCREAMING_SNAKE_CASE					)					)

              else:
                     # pop values from stack can calculate the result
                     # push the result onto the stack again
                     lowerCamelCase     :   str    				=      stack.pop()
                     lowerCamelCase     :   Optional[int]    				=      stack.pop()
                     stack.append(calc[c](_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)					)

       return stack.pop()


# Driver code
if __name__ == "__main__":
       SCREAMING_SNAKE_CASE__ :   Optional[int]						=     '+ 9 * 2 6'
       print(evaluate(test_expression))

       SCREAMING_SNAKE_CASE__ :   Union[str, Any]						=     '/ * 10 2 + 4 1 '
       print(evaluate(test_expression))






