'''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 				UpperCamelCase__      (      a__   ):


						'''simple docstring'''






						_lowerCAmelCase					    =tmp_path / '''text.txt'''
						_lowerCAmelCase					    =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(a__      ,   'w'      ,   encoding='utf-8'   ) as f:
												f.write(a__   )
						return str(a__   )



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


						'''simple docstring'''






						_lowerCAmelCase					    =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:
												_lowerCAmelCase					    =f.read().splitlines(keepends=a__   )
						_lowerCAmelCase					    =Text(keep_linebreaks=a__      ,   encoding='utf-8'   )
						_lowerCAmelCase					    =text._generate_tables([[text_file]]   )
						_lowerCAmelCase					    =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:
												_lowerCAmelCase					    =f.read().splitlines()[0]
						_lowerCAmelCase					    =Text(encoding='utf-8'      ,   features=Features({'image': Image()}   )   )
						_lowerCAmelCase					    =text._generate_tables([[text_file_with_image]]   )
						_lowerCAmelCase					    =pa.concat_tables([table for _, table in generator]   )
						assert pa_table.schema.field('image'   ).type == Image()()
						_lowerCAmelCase					    =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:
												_lowerCAmelCase					    =f.read()
						if sample_by == "line":
												_lowerCAmelCase					    =expected_content.splitlines()
						elif sample_by == "paragraph":
												_lowerCAmelCase					    =expected_content.split('\n\n'   )
						elif sample_by == "document":
												_lowerCAmelCase					    =[expected_content]
						_lowerCAmelCase					    =Text(sample_by=a__      ,   encoding='utf-8'      ,   chunksize=1_0_0   )
						_lowerCAmelCase					    =text._generate_tables([[text_file]]   )
						_lowerCAmelCase					    =pa.concat_tables([table for _, table in generator]   ).to_pydict()['''text''']
						assert generated_content == expected_content











'''simple docstring'''






def 		a_(			lowerCamelCase ,					lowerCamelCase   )					->int:






       '''simple docstring'''




       if len(lowerCamelCase   ) < len(lowerCamelCase   ):
              return levenshtein_distance(lowerCamelCase ,					lowerCamelCase   )

       if len(lowerCamelCase   ) == 0:
              return len(lowerCamelCase   )

       lowercase	:		List[Any]    =   list(range(len(lowerCamelCase   ) + 1   )   )

       for i, ca in enumerate(lowerCamelCase   ):
              lowercase	:		Any    =   [i + 1]

              for j, ca in enumerate(lowerCamelCase   ):
                     # Calculate insertions, deletions and substitutions
                     lowercase	:		List[Any]    =   previous_row[j + 1] + 1
                     lowercase	:		str    =   current_row[j] + 1
                     lowercase	:		List[Any]    =   previous_row[j] + (ca != ca)

                     # Get the minimum to append to the current row
                     current_row.append(min(lowerCamelCase ,					lowerCamelCase ,					lowerCamelCase   )   )

              # Store the previous row
              lowercase	:		List[str]    =   current_row

       # Returns the last element (distance)
       return previous_row[-1]


if __name__ == "__main__":
      lowercase						:   Dict      						=							input('''Enter the first word:\n''').strip()
      lowercase						:   Tuple      						=							input('''Enter the second word:\n''').strip()

      lowercase						:   Tuple      						=							levenshtein_distance(first_word, second_word)
      print(f'Levenshtein distance between {first_word} and {second_word} is {result}')




