"""simple docstring"""
import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil







@pytest.fixture
def 		__a  (      _SCREAMING_SNAKE_CASE  )      ->int:
  a__:	Union[str, Any]     				=      tmp_path / 'text.txt'
  a__:	Optional[Any]     				=      textwrap.dedent(
      '\\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n\n        Second paragraph:\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n        '  )
  with open(_SCREAMING_SNAKE_CASE						,	'w'						,	encoding='utf-8'  ) as f:
    f.write(_SCREAMING_SNAKE_CASE  )
  return str(_SCREAMING_SNAKE_CASE  )







@pytest.fixture
def 		__a  (      _SCREAMING_SNAKE_CASE						,	_SCREAMING_SNAKE_CASE  )      ->Dict:
  a__:	List[Any]     				=      tmp_path / 'text_with_image.txt'
  with open(_SCREAMING_SNAKE_CASE						,	'w'						,	encoding='utf-8'  ) as f:
    f.write(_SCREAMING_SNAKE_CASE  )
  return str(_SCREAMING_SNAKE_CASE  )







@pytest.mark.parametrize('keep_linebreaks'						,	[True, False]  )
def 		__a  (      _SCREAMING_SNAKE_CASE						,	_SCREAMING_SNAKE_CASE  )      ->Optional[int]:
  with open(_SCREAMING_SNAKE_CASE						,	encoding='utf-8'  ) as f:
    a__:	int     				=      f.read().splitlines(keepends=_SCREAMING_SNAKE_CASE  )
  a__:	Optional[Any]     				=      Text(keep_linebreaks=_SCREAMING_SNAKE_CASE						,	encoding='utf-8'  )
  a__:	List[Any]     				=      text._generate_tables([[text_file]]  )
  a__:	Optional[int]     				=      pa.concat_tables([table for _, table in generator]  ).to_pydict()['text']
  assert generated_content == expected_content







@require_pil
def 		__a  (      _SCREAMING_SNAKE_CASE  )      ->Dict:
  with open(_SCREAMING_SNAKE_CASE						,	encoding='utf-8'  ) as f:
    a__:	List[str]     				=      f.read().splitlines()[0]
  a__:	int     				=      Text(encoding='utf-8'						,	features=Features({'image': Image()}  )  )
  a__:	Optional[Any]     				=      text._generate_tables([[text_file_with_image]]  )
  a__:	int     				=      pa.concat_tables([table for _, table in generator]  )
  assert pa_table.schema.field('image'  ).type == Image()()
  a__:	Any     				=      pa_table.to_pydict()['image']
  assert generated_content == [{"path": image_file, "bytes": None}]







@pytest.mark.parametrize('sample_by'						,	['line', 'paragraph', 'document']  )
def 		__a  (      _SCREAMING_SNAKE_CASE						,	_SCREAMING_SNAKE_CASE  )      ->List[Any]:
  with open(_SCREAMING_SNAKE_CASE						,	encoding='utf-8'  ) as f:
    a__:	int     				=      f.read()
  if sample_by == "line":
    a__:	List[Any]     				=      expected_content.splitlines()
  elif sample_by == "paragraph":
    a__:	Dict     				=      expected_content.split('\n\n'  )
  elif sample_by == "document":
    a__:	List[Any]     				=      [expected_content]
  a__:	Optional[Any]     				=      Text(sample_by=_SCREAMING_SNAKE_CASE						,	encoding='utf-8'						,	chunksize=100  )
  a__:	List[Any]     				=      text._generate_tables([[text_file]]  )
  a__:	List[str]     				=      pa.concat_tables([table for _, table in generator]  ).to_pydict()['text']
  assert generated_content == expected_content



"""simple docstring"""
from __future__ import annotations

import sys







def 		__a  (      _SCREAMING_SNAKE_CASE  )      ->int:
  if n < 0:
    raise ValueError('Negative arguments are not supported'  )
  return _fib(_SCREAMING_SNAKE_CASE  )[0]







def 		__a  (      _SCREAMING_SNAKE_CASE  )      ->tuple[int, int]:
  if n == 0:  # (F(0), F(1))
    return (0, 1)

  # F(2n) = F(n)[2F(n+1) − F(n)]
  # F(2n+1) = F(n+1)^2+F(n)^2
  a__				,       a__:	Optional[int]     				=      _fib(n // 2  )
  a__:	List[str]     				=      a * (b * 2 - a)
  a__:	Dict     				=      a * a + b * b
  return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
 lowercase__   			=      int(sys.argv[1])
 print(f"fibonacci({n}) is {fibonacci(n)}")


