

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 		UpperCamelCase_(    snake_case__:						List[Any]     ) ->				List[Any]:
 UpperCAmelCase__           =       tmp_path / 'text.txt'
 UpperCAmelCase__           =       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(snake_case__						,					'w'						,					encoding='utf-8'     ) as f:
  f.write(snake_case__     )
 return str(snake_case__     )
@pytest.fixture
def 		UpperCamelCase_(    snake_case__:						Optional[int]						,					snake_case__:						int     ) ->				List[str]:
 UpperCAmelCase__           =       tmp_path / 'text_with_image.txt'
 with open(snake_case__						,					'w'						,					encoding='utf-8'     ) as f:
  f.write(snake_case__     )
 return str(snake_case__     )
@pytest.mark.parametrize('keep_linebreaks'						,					[True, False]     )
def 		UpperCamelCase_(    snake_case__:						Union[str, Any]						,					snake_case__:						Tuple     ) ->				Dict:
 with open(snake_case__						,					encoding='utf-8'     ) as f:
  UpperCAmelCase__           =       f.read().splitlines(keepends=snake_case__     )
 UpperCAmelCase__           =       Text(keep_linebreaks=snake_case__						,					encoding='utf-8'     )
 UpperCAmelCase__           =       text._generate_tables([[text_file]]     )
 UpperCAmelCase__           =       pa.concat_tables([table for _, table in generator]     ).to_pydict()['text']
 assert generated_content == expected_content
@require_pil
def 		UpperCamelCase_(    snake_case__:						Any     ) ->				List[str]:
 with open(snake_case__						,					encoding='utf-8'     ) as f:
  UpperCAmelCase__           =       f.read().splitlines()[0]
 UpperCAmelCase__           =       Text(encoding='utf-8'						,					features=Features({'image': Image()}     )     )
 UpperCAmelCase__           =       text._generate_tables([[text_file_with_image]]     )
 UpperCAmelCase__           =       pa.concat_tables([table for _, table in generator]     )
 assert pa_table.schema.field('image'     ).type == Image()()
 UpperCAmelCase__           =       pa_table.to_pydict()['image']
 assert generated_content == [{"path": image_file, "bytes": None}]







@pytest.mark.parametrize('sample_by'						,					['line', 'paragraph', 'document']     )
def 		UpperCamelCase_(    snake_case__:						Any						,					snake_case__:						List[str]     ) ->				Optional[int]:
 with open(snake_case__						,					encoding='utf-8'     ) as f:
  UpperCAmelCase__           =       f.read()
 if sample_by == "line":
  UpperCAmelCase__           =       expected_content.splitlines()
 elif sample_by == "paragraph":
  UpperCAmelCase__           =       expected_content.split('\n\n'     )
 elif sample_by == "document":
  UpperCAmelCase__           =       [expected_content]
 UpperCAmelCase__           =       Text(sample_by=snake_case__						,					encoding='utf-8'						,					chunksize=1_00     )
 UpperCAmelCase__           =       text._generate_tables([[text_file]]     )
 UpperCAmelCase__           =       pa.concat_tables([table for _, table in generator]     ).to_pydict()['text']
 assert generated_content == expected_content






from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available
def 		UpperCamelCase_(    snake_case__:						Optional[int]     ) ->				Tuple:
 if is_torch_available():
  import torch

  if isinstance(snake_case__						,					torch.Tensor     ):
   return True

 return isinstance(snake_case__						,					np.ndarray     )







class 					lowercase		( _UpperCamelCase      ):



 '''simple docstring'''


 def 						UpperCamelCase__							(self				)				->      int:






  """simple docstring"""





  UpperCAmelCase__           =       fields(self				)

  # Safety and consistency checks
  if not len(__a				):
   raise ValueError(F"{self.__class__.__name__} has no fields."				)

  UpperCAmelCase__           =       getattr(self , class_fields[0].name				)
  UpperCAmelCase__           =       all(getattr(self , field.name				) is None for field in class_fields[1:]				)

  if other_fields_are_none and isinstance(__a , __a				):
   for key, value in first_field.items():
    UpperCAmelCase__           =       value
  else:
   for field in class_fields:
    UpperCAmelCase__           =       getattr(self , field.name				)
    if v is not None:
     UpperCAmelCase__           =       v




 def __delitem__(self , *__a , **__a				)				->      Optional[int]:






  """simple docstring"""





  raise Exception(F"You cannot use ``__delitem__`` on a {self.__class__.__name__} instance."				)




 def 						UpperCamelCase__							(self , *__a , **__a				)				->      str:






  """simple docstring"""





  raise Exception(F"You cannot use ``setdefault`` on a {self.__class__.__name__} instance."				)




 def 						UpperCamelCase__							(self , *__a , **__a				)				->      Optional[int]:






  """simple docstring"""





  raise Exception(F"You cannot use ``pop`` on a {self.__class__.__name__} instance."				)




 def 						UpperCamelCase__							(self , *__a , **__a				)				->      Tuple:






  """simple docstring"""





  raise Exception(F"You cannot use ``update`` on a {self.__class__.__name__} instance."				)




 def __getitem__(self , __a				)				->      Tuple:






  """simple docstring"""





  if isinstance(__a , __a				):
   UpperCAmelCase__           =       dict(self.items()				)
   return inner_dict[k]
  else:
   return self.to_tuple()[k]




 def __setattr__(self , __a , __a				)				->      Any:






  """simple docstring"""





  if name in self.keys() and value is not None:
   # Don't call self.__setitem__ to avoid recursion errors
   super().__setitem__(__a , __a				)
  super().__setattr__(__a , __a				)




 def __setitem__(self , __a , __a				)				->      Union[str, Any]:






  """simple docstring"""





  super().__setitem__(__a , __a				)
  # Don't call self.__setattr__ to avoid recursion errors
  super().__setattr__(__a , __a				)




 def 						UpperCamelCase__							(self				)				->      Tuple[Any]:






  """simple docstring"""





  return tuple(self[k] for k in self.keys()				)



