

"""simple docstring"""





def   _A  (  UpperCamelCase_					:	str,      UpperCamelCase_					:	str)     ->						float:
   '''simple docstring'''


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

      return "".join(UpperCamelCase_)

   # matching characters
   __lowercase								=						get_matched_characters(UpperCamelCase_,      UpperCamelCase_)
   __lowercase								=						get_matched_characters(UpperCamelCase_,      UpperCamelCase_)
   __lowercase								=						len(UpperCamelCase_)

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

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

   # common prefix up to 4 characters
   __lowercase								=						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 ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
   from .notes_encoder import SpectrogramNotesEncoder
   from .continous_encoder import SpectrogramContEncoder
   from .pipeline_spectrogram_diffusion import (
       SpectrogramContEncoder,
       SpectrogramDiffusionPipeline,
       TaFilmDecoder,
   )

try:
   if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
   from .midi_utils import MidiProcessor




