





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__      :     Optional[int]         =		{'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      a__      :     Any         =		[
          'WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST',
          'WavLMForAudioFrameClassification',
          'WavLMForCTC',
          'WavLMForSequenceClassification',
          'WavLMForXVector',
          'WavLMModel',
          'WavLMPreTrainedModel',
      ]

if TYPE_CHECKING:
      from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_wavlm import (
                WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
                WavLMForAudioFrameClassification,
                WavLMForCTC,
                WavLMForSequenceClassification,
                WavLMForXVector,
                WavLMModel,
                WavLMPreTrainedModel,
            )

else:
      import sys

      a__      :     Any         =		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










from __future__ import annotations

def      UpperCAmelCase_    (    _UpperCAmelCase							:list[float]  ,						_UpperCAmelCase							:list[float]				)	->				float:
     '''simple docstring'''


     A_          =       sorted(numsa + numsa				)
     A_   ,    A_          =       divmod(len(_UpperCAmelCase				)  ,						2				)
     if mod == 1:
          return all_numbers[div]
     else:
          return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      a__      :     Optional[Any]         =		[float(x) for x in input('Enter the elements of first array: ').split()]
      a__      :     int         =		[float(x) for x in input('Enter the elements of second array: ').split()]
      print(f'''The median of two arrays is: {median_of_two_arrays(array_a, array_a)}''')



