


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		:      List[str]	)     ->	str:



	"""simple docstring"""






	a_     			=   tmp_path / """file.jsonl"""
	a_     			=   textwrap.dedent(
	    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """	)
	with open(UpperCamelCase     ,					"""w"""	) as f:
		f.write(UpperCamelCase	)
	return str(UpperCamelCase	)

@pytest.fixture
def 			__SCREAMING_SNAKE_CASE		(		UpperCamelCase		:      str	)     ->	Any:



	"""simple docstring"""






	a_     			=   tmp_path / """file_utf16_encoded.jsonl"""
	a_     			=   textwrap.dedent(
	    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """	)
	with open(UpperCamelCase     ,					"""w"""     ,					encoding="""utf-16"""	) as f:
		f.write(UpperCamelCase	)
	return str(UpperCamelCase	)

@pytest.fixture
def 			__SCREAMING_SNAKE_CASE		(		UpperCamelCase		:      Any	)     ->	Optional[int]:



	"""simple docstring"""






	a_     			=   tmp_path / """file_with_list_of_dicts.json"""
	a_     			=   textwrap.dedent(
	    """\
        [
            {\"col_1\": -1},
            {\"col_1\": 1, \"col_2\": 2},
            {\"col_1\": 10, \"col_2\": 20}
        ]
        """	)
	with open(UpperCamelCase     ,					"""w"""	) as f:
		f.write(UpperCamelCase	)
	return str(UpperCamelCase	)

@pytest.fixture
def 			__SCREAMING_SNAKE_CASE		(		UpperCamelCase		:      Dict	)     ->	List[Any]:



	"""simple docstring"""






	a_     			=   tmp_path / """file_with_list_of_dicts_field.json"""
	a_     			=   textwrap.dedent(
	    """\
        {
            \"field1\": 1,
            \"field2\": \"aabb\",
            \"field3\": [
                {\"col_1\": -1},
                {\"col_1\": 1, \"col_2\": 2},
                {\"col_1\": 10, \"col_2\": 20}
            ]
        }
        """	)
	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		:      List[Any]     ,					UpperCamelCase		:      Optional[int]     ,					UpperCamelCase		:      List[str]	)     ->	str:



	"""simple docstring"""






	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		:      Any     ,					UpperCamelCase		:      Dict     ,					UpperCamelCase		:      Optional[int]	)     ->	Optional[Any]:



	"""simple docstring"""






	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]}



class 			lowerCamelCase_					:





							def __init__(							self    ):
								a_     			=   [0, 1]





							def   __magic_name__      (							self			,       _SCREAMING_SNAKE_CASE    ):
								if (difference := index - (len(self.sequence    ) - 2)) >= 1:
									for _ in range(_SCREAMING_SNAKE_CASE    ):
										self.sequence.append(self.sequence[-1] + self.sequence[-2]    )
								return self.sequence[:index]







def 			__SCREAMING_SNAKE_CASE		(		)     ->	None:



	"""simple docstring"""






	print(
	    """Fibonacci Series Using Dynamic Programming\n"""     ,					"""Enter the index of the Fibonacci number you want to calculate """     ,					"""in the prompt below. (To exit enter exit or Ctrl-C)\n"""     ,					sep=""""""     ,					)
	a_     			=   Fibonacci()

	while True:
		a_     			=   input(""">> """	)
		if prompt in {"exit", "quit"}:
			break

		try:
			a_     			=   int(UpperCamelCase	)
		except ValueError:
			print("""Enter a number or 'exit'"""	)
			continue

		print(fibonacci.get(UpperCamelCase	)	)


if __name__ == "__main__":
			main()