

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							(	a__):

			'''simple docstring'''



			a_	:	Union[str, Any]          =   tmp_path / """text.txt"""
			a_	:	Dict          =   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(a__     ,  """w"""     ,  encoding="""utf-8""") as f:
						f.write(a__)
			return str(a__)


@pytest.fixture
def 				_UpperCAmelCase							(	a__     ,  a__):

			'''simple docstring'''



			a_	:	List[Any]          =   tmp_path / """text_with_image.txt"""
			with open(a__     ,  """w"""     ,  encoding="""utf-8""") as f:
						f.write(a__)
			return str(a__)


@pytest.mark.parametrize("""keep_linebreaks"""     ,  [True, False])
def 				_UpperCAmelCase							(	a__     ,  a__):

			'''simple docstring'''



			with open(a__     ,  encoding="""utf-8""") as f:
						a_	:	List[Any]          =   f.read().splitlines(keepends=a__)
			a_	:	str          =   Text(keep_linebreaks=a__     ,  encoding="""utf-8""")
			a_	:	str          =   text._generate_tables([[text_file]])
			a_	:	List[str]          =   pa.concat_tables([table for _, table in generator]).to_pydict()["""text"""]
			assert generated_content == expected_content


@require_pil
def 				_UpperCAmelCase							(	a__):

			'''simple docstring'''



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



@pytest.mark.parametrize("""sample_by"""     ,  ["""line""", """paragraph""", """document"""])
def 				_UpperCAmelCase							(	a__     ,  a__):

			'''simple docstring'''



			with open(a__     ,  encoding="""utf-8""") as f:
						a_	:	Any          =   f.read()
			if sample_by == "line":
						a_	:	Tuple          =   expected_content.splitlines()
			elif sample_by == "paragraph":
						a_	:	List[str]          =   expected_content.split("""\n\n""")
			elif sample_by == "document":
						a_	:	List[Any]          =   [expected_content]
			a_	:	Tuple          =   Text(sample_by=a__     ,  encoding="""utf-8"""     ,  chunksize=1_0_0)
			a_	:	List[str]          =   text._generate_tables([[text_file]])
			a_	:	List[str]          =   pa.concat_tables([table for _, table in generator]).to_pydict()["""text"""]
			assert generated_content == expected_content





from dataclasses import dataclass
from typing import Callable, Optional

import datasets



@dataclass
class 					A__(datasets.BuilderConfig       ):
						"""simple docstring"""






						_A						:							Optional[Callable]									= None
						_A						:							Optional[dict]									= None
						_A						:							Optional[datasets.Features]									= None





						def  UpperCamelCase__				(						self						)    ->   Tuple:
									assert self.generator is not None, "generator must be specified"

									if self.gen_kwargs is None:
												a_	:	Tuple          =   {}







class 					A__(datasets.GeneratorBasedBuilder       ):
						"""simple docstring"""






						_A						:							Dict									= GeneratorConfig





						def  UpperCamelCase__				(						self						)    ->   List[Any]:
									return datasets.DatasetInfo(features=self.config.features						)





						def  UpperCamelCase__				(						self     ,			_lowercase						)    ->   List[Any]:
									return [datasets.SplitGenerator(name=datasets.Split.TRAIN     ,			gen_kwargs=self.config.gen_kwargs						)]





						def  UpperCamelCase__				(						self     ,			**_lowercase						)    ->   Tuple:
									for idx, ex in enumerate(self.config.generator(**_lowercase						)						):
												yield idx, ex


