






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        lowerCamelCase__   (					__lowerCamelCase    :  Dict	):
  __UpperCAmelCase							:			Optional[Any]     =						tmp_path / """text.txt"""
  __UpperCAmelCase							:			Any     =						textwrap.dedent(
      """\
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

        Second paragraph:
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
        """	)
  with open(__lowerCamelCase						,	"""w"""						,	encoding="""utf-8"""	) as f:
    f.write(__lowerCamelCase	)
  return str(__lowerCamelCase	)






@pytest.fixture
def        lowerCamelCase__   (					__lowerCamelCase    :  int						,	__lowerCamelCase    :  Tuple	):
  __UpperCAmelCase							:			Optional[int]     =						tmp_path / """text_with_image.txt"""
  with open(__lowerCamelCase						,	"""w"""						,	encoding="""utf-8"""	) as f:
    f.write(__lowerCamelCase	)
  return str(__lowerCamelCase	)






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






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







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










import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


a	: Any      =				set()
a	: List[Any]      =				get_logger(__name__)






def        lowerCamelCase__   (					__lowerCamelCase    :  Optional[str] = None	):

  def decorator(__lowerCamelCase    :  Callable	):
    global _emitted_deprecation_warnings

    if inspect.isclass(__lowerCamelCase	):
      __UpperCAmelCase							:			Optional[Any]     =						deprecated_class_or_function.__init__
      __UpperCAmelCase							:			int     =						deprecated_class_or_function.__name__
    else:
      __UpperCAmelCase							:			Any     =						deprecated_class_or_function
      __UpperCAmelCase							:			Any     =						deprecated_function.__name__
      # Support deprecating __init__ class method: class name instead
      __UpperCAmelCase							:			List[str]     =						name if name != """__init__""" else deprecated_function.__qualname__.split("""."""	)[-2]

    __UpperCAmelCase							:			Union[str, Any]     =						(
        f"""{name} is deprecated and will be removed in the next major version of datasets.""" + f""" {help_message}"""
        if help_message
        else """"""
    )

    @wraps(__lowerCamelCase	)
    def wrapper(*__lowerCamelCase    :  List[str]						,	**__lowerCamelCase    :  Tuple	):
      __UpperCAmelCase							:			Optional[Any]     =						hash(__lowerCamelCase	)
      if func_hash not in _emitted_deprecation_warnings:
        warnings.warn(__lowerCamelCase						,	category=__lowerCamelCase						,	stacklevel=2	)
        _emitted_deprecation_warnings.add(__lowerCamelCase	)
      return deprecated_function(*__lowerCamelCase						,	**__lowerCamelCase	)

    __UpperCAmelCase							:			List[str]     =						"""deprecated"""

    if inspect.isclass(__lowerCamelCase	):
      __UpperCAmelCase							:			int     =						wrapper
      return deprecated_class_or_function
    else:
      return wrapper

  return decorator
class 					a					(				enum.EnumMeta     ):



      """simple docstring"""


      def __getattribute__(   cls      :    Optional[int]	,   __lowercase      :    List[Any]      )							->   str:
        __UpperCAmelCase							:			List[Any]     =						super().__getattribute__(__lowercase      )
        if isinstance(__lowercase	,   enum.Enum      ) and obj._on_access:
          obj._on_access()
        return obj
      def __getitem__(   cls      :    Union[str, Any]	,   __lowercase      :    Optional[int]      )							->   Optional[int]:
        __UpperCAmelCase							:			Union[str, Any]     =						super().__getitem__(__lowercase      )
        if member._on_access:
          member._on_access()
        return member




      def __call__(   cls      :    List[str]	,   __lowercase      :    Dict	,   __lowercase      :    List[Any]=None	,   *, __lowercase      :    Dict=None	,   __lowercase      :    Any=None	,   __lowercase      :    Optional[Any]=None	,   __lowercase      :    Dict=1      )							->   List[Any]:
        __UpperCAmelCase							:			Union[str, Any]     =						super().__call__(__lowercase	,   __lowercase	,   module=__lowercase	,   qualname=__lowercase	,   type=__lowercase	,   start=__lowercase      )
        if isinstance(__lowercase	,   enum.Enum      ) and obj._on_access:
          obj._on_access()
        return obj


class 					a					(				enum.Enum							, metaclass=lowercase__     ):



      """simple docstring"""


      def __new__(   cls      :    Dict	,   __lowercase      :    Tuple      )							->   Optional[Any]:
        __UpperCAmelCase							:			List[Any]     =						object.__new__(cls      )
        __UpperCAmelCase							:			Any     =						value
        __UpperCAmelCase							:			int     =						member.deprecate
        return member
      @property
      def 			UpperCAmelCase   (   self      :    Optional[Any]      )							->   Dict:
        return ""




      def 			UpperCAmelCase   (   self      :    str      )							->   Dict:
        __UpperCAmelCase							:			Optional[int]     =						f""" {self.help_message}""" if self.help_message else """"""
        warnings.warn(
            f"""'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets."""
            + help_message	,   __lowercase	,   stacklevel=3	,   )


