"""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




import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
				from PIL import Image
class    _UpperCamelCase(   unittest.TestCase		,						SCREAMING_SNAKE_CASE				):

						def 						a__ (					self		:			Optional[int]			):
													_UpperCAmelCase  :			Any	       =		load_tool("image-captioning"			)
													self.tool.setup()
													_UpperCAmelCase  :			Optional[Any]	       =		load_tool("image-captioning"	,						remote=_lowerCamelCase			)

						def 						a__ (					self		:			int			):
													_UpperCAmelCase  :			Optional[int]	       =		Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
													_UpperCAmelCase  :			Optional[int]	       =		self.tool(_lowerCamelCase			)
													self.assertEqual(_lowerCamelCase	,						"two cats sleeping on a couch"			)

						def 						a__ (					self		:			str			):
													_UpperCAmelCase  :			List[str]	       =		Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
													_UpperCAmelCase  :			Optional[Any]	       =		self.remote_tool(_lowerCamelCase			)
													self.assertEqual(_lowerCamelCase	,						"two cats sleeping on a couch"			)

						def 						a__ (					self		:			Union[str, Any]			):
													_UpperCAmelCase  :			Any	       =		Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
													_UpperCAmelCase  :			Union[str, Any]	       =		self.tool(image=_lowerCamelCase			)
													self.assertEqual(_lowerCamelCase	,						"two cats sleeping on a couch"			)






						def 						a__ (					self		:			Optional[int]			):
													_UpperCAmelCase  :			str	       =		Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
													_UpperCAmelCase  :			str	       =		self.remote_tool(image=_lowerCamelCase			)
													self.assertEqual(_lowerCamelCase	,						"two cats sleeping on a couch"			)




