
import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json



@pytest.fixture
def      __UpperCAmelCase    (  snake_case_							:		List[str]				):



	'''simple docstring'''



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



@pytest.fixture
def      __UpperCAmelCase    (  snake_case_							:		str				):



	'''simple docstring'''



	UpperCAmelCase:					Union[str, Any] 						=     tmp_path / "file_utf16_encoded.jsonl"
	UpperCAmelCase:					Optional[int] 						=     textwrap.dedent(
	    "\\n        {\"col_1\": -1}\n        {\"col_1\": 1, \"col_2\": 2}\n        {\"col_1\": 10, \"col_2\": 20}\n        "				)
	with open(snake_case_				,					"w"				,					encoding="utf-16"				) as f:
		f.write(snake_case_				)
	return str(snake_case_				)



@pytest.fixture
def      __UpperCAmelCase    (  snake_case_							:		Any				):



	'''simple docstring'''



	UpperCAmelCase:					Union[str, Any] 						=     tmp_path / "file_with_list_of_dicts.json"
	UpperCAmelCase:					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(snake_case_				,					"w"				) as f:
		f.write(snake_case_				)
	return str(snake_case_				)



@pytest.fixture
def      __UpperCAmelCase    (  snake_case_							:		Dict				):



	'''simple docstring'''



	UpperCAmelCase:					List[str] 						=     tmp_path / "file_with_list_of_dicts_field.json"
	UpperCAmelCase:					Optional[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(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      __UpperCAmelCase    (  snake_case_							:		List[Any]				,					snake_case_							:		Optional[int]				,					snake_case_							:		List[str]				):



	'''simple docstring'''



	UpperCAmelCase:					List[str] 						=     Json(**snake_case_				)
	UpperCAmelCase:					int 						=     json._generate_tables([[request.getfixturevalue(snake_case_				)]]				)
	UpperCAmelCase:					str 						=     pa.concat_tables([table for _, table in generator]				)
	assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0]}



@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      __UpperCAmelCase    (  snake_case_							:		Any				,					snake_case_							:		Dict				,					snake_case_							:		Optional[int]				):



	'''simple docstring'''



	UpperCAmelCase:					List[str] 						=     Json(**snake_case_				)
	UpperCAmelCase:					Optional[Any] 						=     json._generate_tables([[request.getfixturevalue(snake_case_				)]]				)
	UpperCAmelCase:					Optional[Any] 						=     pa.concat_tables([table for _, table in generator]				)
	assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0], "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()