


"""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 							_snake_case			(      __snake_case       :			List[str]      ):




			"""simple docstring"""







			_lowerCamelCase  :				Any      =		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 							_snake_case			(      __snake_case       :			Optional[int]	,   __snake_case       :			Any      ):




			"""simple docstring"""







			_lowerCamelCase  :				Dict      =		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 							_snake_case			(      __snake_case       :			Tuple	,   __snake_case       :			str      ):




			"""simple docstring"""







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

@require_pil
def 							_snake_case			(      __snake_case       :			Optional[Any]      ):




			"""simple docstring"""







			with open(__snake_case	,   encoding="""utf-8"""      ) as f:
						_lowerCamelCase  :				Any      =		f.read().splitlines()[0]
			_lowerCamelCase  :				str      =		Text(encoding="""utf-8"""	,   features=Features({"""image""": Image()}      )      )
			_lowerCamelCase  :				List[Any]      =		text._generate_tables([[text_file_with_image]]      )
			_lowerCamelCase  :				Union[str, Any]      =		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 							_snake_case			(      __snake_case       :			Tuple	,   __snake_case       :			Dict      ):




			"""simple docstring"""







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





"""simple docstring"""
import timeit




class   lowercase__							:





   def __init__(       self			,      SCREAMING_SNAKE_CASE)     ->     Tuple:
      if isinstance(SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE):  # Initializes a matrix identical to the one provided.
         _lowerCamelCase  :				List[str]      =		arg
         _lowerCamelCase  :				List[str]      =		len(SCREAMING_SNAKE_CASE)
      else:  # Initializes a square matrix of the given size and set values to zero.
         _lowerCamelCase  :				List[Any]      =		arg
         _lowerCamelCase  :				Union[str, Any]      =		[[0 for _ in range(self.n)] for _ in range(self.n)]





   def __mul__(       self			,      SCREAMING_SNAKE_CASE)     ->     Optional[Any]:
      _lowerCamelCase  :				List[Any]      =		Matrix(self.n)
      for i in range(self.n):
         for j in range(self.n):
            for k in range(self.n):
               matrix.t[i][j] += self.t[i][k] * b.t[k][j]
      return matrix







def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			List[Any]      ):




   """simple docstring"""







   _lowerCamelCase  :				List[Any]      =		Matrix([[1, 0], [0, 1]]      )
   while b > 0:
      if b & 1:
         matrix *= a
      a *= a
      b >>= 1
   return matrix

def 							_snake_case			(      __snake_case       :			List[str]	,   __snake_case       :			str	,   __snake_case       :			List[Any]      ):




   """simple docstring"""







   if n == 1:
      return fa
   elif n == 2:
      return fa
   _lowerCamelCase  :				Any      =		Matrix([[1, 1], [1, 0]]      )
   _lowerCamelCase  :				List[str]      =		modular_exponentiation(__snake_case	,   n - 2      )
   return fa * matrix.t[0][0] + fa * matrix.t[0][1]

def 							_snake_case			(      __snake_case       :			int	,   __snake_case       :			Optional[int]	,   __snake_case       :			List[Any]      ):




   """simple docstring"""







   if n == 1:
      return fa
   elif n == 2:
      return fa

   _lowerCamelCase  :				Optional[Any]      =		fa
   _lowerCamelCase  :				int      =		fa
   n -= 2

   while n > 0:
      _lowerCamelCase      ,						_lowerCamelCase  :				Tuple      =		fn_a + fn_a, fn_a
      n -= 1

   return fn_a

def 							_snake_case			(      ):




   """simple docstring"""







   _lowerCamelCase  :				List[str]      =		"""
from random import randint
from __main__ import fibonacci_with_matrix_exponentiation
"""
   _lowerCamelCase  :				int      =		"""fibonacci_with_matrix_exponentiation(randint(1,70000), 1, 1)"""
   _lowerCamelCase  :				Tuple      =		timeit.timeit(setup=__snake_case	,   stmt=__snake_case	,   number=100      )
   print("""With matrix exponentiation the average execution time is """	,   exec_time / 100      )
   return exec_time

def 							_snake_case			(      ):




   """simple docstring"""







   _lowerCamelCase  :				Dict      =		"""
from random import randint
from __main__ import simple_fibonacci
"""
   _lowerCamelCase  :				Optional[int]      =		"""simple_fibonacci(randint(1,70000), 1, 1)"""
   _lowerCamelCase  :				List[Any]      =		timeit.timeit(setup=__snake_case	,   stmt=__snake_case	,   number=100      )
   print(
       """Without matrix exponentiation the average execution time is """	,   exec_time / 100      )
   return exec_time

def 							_snake_case			(      ):




   """simple docstring"""







   matrix_exponentiation_time()
   simple_fibonacci_time()


if __name__ == "__main__":
 main()

