




def 			__magic_name__				( A		:					str,  A		:					str   ):






			'''simple docstring'''







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

						return "".join(A   )

			# matching characters
			a    =			get_matched_characters(A,  A   )
			a    =			get_matched_characters(A,  A   )
			a    =			len(A   )

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

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

			# common prefix up to 4 characters
			a    =			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'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase :      int					 =     {"configuration_glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"]}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase :      int					 =     ["GLPNFeatureExtractor"]
     lowerCamelCase :      Optional[int]					 =     ["GLPNImageProcessor"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase :      Union[str, Any]					 =     [
         "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
         "GLPNForDepthEstimation",
         "GLPNLayer",
         "GLPNModel",
         "GLPNPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_glpn import GLPNFeatureExtractor
          from .image_processing_glpn import GLPNImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_glpn import (
              GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
              GLPNForDepthEstimation,
              GLPNLayer,
              GLPNModel,
              GLPNPreTrainedModel,
          )


else:
     import sys

     lowerCamelCase :      List[Any]					 =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
