


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    (				snake_case						:     List[Any]			)							->				Any:
   __lowerCamelCase:					int	 =						tmp_path / """text.txt"""
   __lowerCamelCase:					Optional[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(snake_case    ,   """w"""    ,   encoding="""utf-8"""			) as f:
      f.write(snake_case			)
   return str(snake_case			)



@pytest.fixture
def      __lowerCAmelCase    (				snake_case						:     Optional[Any]    ,   snake_case						:     Tuple			)							->				List[str]:
   __lowerCamelCase:					Any	 =						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      __lowerCAmelCase    (				snake_case						:     int    ,   snake_case						:     List[str]			)							->				Dict:
   with open(snake_case    ,   encoding="""utf-8"""			) as f:
      __lowerCamelCase:					Optional[int]	 =						f.read().splitlines(keepends=snake_case			)
   __lowerCamelCase:					Union[str, Any]	 =						Text(keep_linebreaks=snake_case    ,   encoding="""utf-8"""			)
   __lowerCamelCase:					str	 =						text._generate_tables([[text_file]]			)
   __lowerCamelCase:					Tuple	 =						pa.concat_tables([table for _, table in generator]			).to_pydict()["""text"""]
   assert generated_content == expected_content



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







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






_A		:					Union[str, Any]          =							1_000



def      __lowerCAmelCase    (				snake_case						:     float			)							->				float:
   return x * x



def      __lowerCAmelCase    (				snake_case						:     Optional[int]    ,   snake_case						:     float    ,   snake_case						:     float    ,   snake_case						:     int = 4			)							->				float:
   assert callable(
       snake_case			), f'the function(object) passed should be callable your input : {function}'
   assert isinstance(snake_case    ,   (float, int)			), f'a should be float or integer your input : {a}'
   assert isinstance(function(snake_case			)    ,   (float, int)			), (
       "the function should return integer or float return type of your function, "
       f'{type(snake_case			)}'
   )
   assert isinstance(snake_case    ,   (float, int)			), f'b should be float or integer your input : {b}'
   assert (
       isinstance(snake_case    ,   snake_case			) and precision > 0
   ), f'precision should be positive integer your input : {precision}'

   # just applying the formula of simpson for approximate integration written in
   # mentioned article in first comment of this file and above this function

   __lowerCamelCase:					List[str]	 =						(b - a) / N_STEPS
   __lowerCamelCase:					Optional[Any]	 =						function(snake_case			) + function(snake_case			)

   for i in range(1    ,   snake_case			):
      __lowerCamelCase:					Dict	 =						a + h * i
      result += function(snake_case			) * (4 if i % 2 else 2)

   result *= h / 3
   return round(snake_case    ,   snake_case			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()


