'''simple docstring'''

def snake_case_      (					__snake_case  :							str	,   __snake_case  :							Dict)			->					float:

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

      return "".join(SCREAMING_SNAKE_CASE_)

   # matching characters
   lowerCAmelCase_			=      get_matched_characters(SCREAMING_SNAKE_CASE_	,   SCREAMING_SNAKE_CASE_)
   lowerCAmelCase_			=      get_matched_characters(SCREAMING_SNAKE_CASE_	,   SCREAMING_SNAKE_CASE_)
   lowerCAmelCase_			=      len(SCREAMING_SNAKE_CASE_)

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

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

   # common prefix up to 4 characters
   lowerCAmelCase_			=      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'''))











'''simple docstring'''
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict





@pytest.mark.parametrize(
    'split_dict'       ,[
        SplitDict(),
        SplitDict({'train': SplitInfo(name='train'       ,num_bytes=1337       ,num_examples=42       ,dataset_name='my_dataset'     )}     ),
        SplitDict({'train': SplitInfo(name='train'       ,num_bytes=1337       ,num_examples=42     )}     ),
        SplitDict({'train': SplitInfo()}     ),
    ]       ,)
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		List[str]:
			A_									= split_dict._to_yaml_list()
			assert len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     )
			A_									= SplitDict._from_yaml_list(SCREAMING_SNAKE_CASE_     )
			for split_name, split_info in split_dict.items():
						# dataset_name field is deprecated, and is therefore not part of the YAML dump
						A_									= None
						# the split name of split_dict takes over the name of the split info object
						A_									= split_name
			assert split_dict == reloaded






@pytest.mark.parametrize(
    'split_info'       ,[SplitInfo(), SplitInfo(dataset_name=SCREAMING_SNAKE_CASE_     ), SplitInfo(dataset_name='my_dataset'     )]     )
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		Optional[Any]:
			# For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
			# field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
			A_									= asdict(SplitDict({'train': split_info}     )     )
			assert "dataset_name" in split_dict_asdict["train"]
			assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name




