


'''simple docstring'''




def   _a		(lowercase__			:   str							,   lowercase__			:   str						)			->			float:






     """simple docstring"""

     def get_matched_characters(lowercase__			:   str							,   lowercase__			:   str						) -> str:
          __snake_case           =						[]
          __snake_case           =						min(len(_stra						)							,   len(_stra						)						) // 2
          for i, l in enumerate(_stra						):
               __snake_case           =						int(max(0							,   i - limit						)						)
               __snake_case           =						int(min(i + limit + 1							,   len(_stra						)						)						)
               if l in _stra[left:right]:
                    matched.append(lowercase__						)
                    __snake_case           =						f'{_stra[0:_stra.index(lowercase__						)]} {_stra[_stra.index(lowercase__						) + 1:]}'

          return "".join(lowercase__						)

     # matching characters
     __snake_case           =						get_matched_characters(lowercase__							,   lowercase__						)
     __snake_case           =						get_matched_characters(lowercase__							,   lowercase__						)
     __snake_case           =						len(lowercase__						)

     # transposition
     __snake_case           =						(
         len([(ca, ca) for ca, ca in zip(lowercase__							,   lowercase__						) if ca != ca]						) // 2
     )

     if not match_count:
          __snake_case           =						0.0
     else:
          __snake_case           =						(
              1
              / 3
              * (
                  match_count / len(lowercase__						)
                  + match_count / len(lowercase__						)
                  + (match_count - transpositions) / match_count
              )
          )

     # common prefix up to 4 characters
     __snake_case           =						0
     for ca, ca in zip(stra[:4]							,   stra[:4]						):
          if ca == ca:
               prefix_len += 1
          else:
               break

     return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       print(jaro_winkler("hello", "world"))





import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		namedtuple(
    """_TestCommandArgs""",
    [
        """dataset""",
        """name""",
        """cache_dir""",
        """data_dir""",
        """all_configs""",
        """save_infos""",
        """ignore_verifications""",
        """force_redownload""",
        """clear_cache""",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)



def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 return (abs(source - target       ) / target) < 0.01






@pytest.mark.integration
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	_TestCommandArgs(dataset=_A				,					all_configs=_A				,					save_infos=_A       )
 __a							=	TestCommand(*_A       )
 test_command.run()
 __a							=	os.path.join(_A				,					"README.md"       )
 assert os.path.exists(_A       )
 __a							=	DatasetInfosDict.from_directory(_A       )
 __a							=	DatasetInfosDict(
     {
         "default": DatasetInfo(
             features=Features(
                 {
                     "tokens": Sequence(Value("string"       )       ),
                     "ner_tags": Sequence(
                         ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]       )       ),
                     "langs": Sequence(Value("string"       )       ),
                     "spans": Sequence(Value("string"       )       ),
                 }       )				,					splits=[
                 {
                     "name": "train",
                     "num_bytes": 235_1563,
                     "num_examples": 1_0000,
                 },
                 {
                     "name": "validation",
                     "num_bytes": 23_8418,
                     "num_examples": 1000,
                 },
             ]				,					download_size=394_0680				,					dataset_size=258_9981				,					)
     }       )
 assert dataset_infos.keys() == expected_dataset_infos.keys()
 for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
  __a							,  __a							=	getattr(dataset_infos["default"]				,					_A       ), getattr(expected_dataset_infos["default"]				,					_A       )
  if key == "num_bytes":
   assert is_apercent_close(_A				,					_A       )
  elif key == "splits":
   assert list(_A       ) == list(_A       )
   for split in result:
    assert result[split].name == expected[split].name
    assert result[split].num_examples == expected[split].num_examples
    assert is_apercent_close(result[split].num_bytes				,					expected[split].num_bytes       )
  else:
   result == expected


