'''simple docstring'''

from __future__ import annotations

import sys




class    lowerCamelCase__  :



   def __init__(    self					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     Optional[int]:
        """simple docstring"""





        _UpperCamelCase  :str       =letter
        _UpperCamelCase  :int       =freq
        _UpperCamelCase  :dict[str, str]       ={}




   def __repr__(    self     )				->     str:
        """simple docstring"""





        return f'''{self.letter}:{self.freq}'''




class    lowerCamelCase__  :



   def __init__(    self					,      lowerCAmelCase__					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     Optional[Any]:
        """simple docstring"""





        _UpperCamelCase  :int       =freq
        _UpperCamelCase  :Letter | TreeNode       =left
        _UpperCamelCase  :Letter | TreeNode       =right




def  _lowerCAmelCase				(				__a      )  ->      list[Letter]:
     '''simple docstring'''







     _UpperCamelCase  :dict[str, int]       ={}
     with open(__a      ) as f:
          while True:
               _UpperCamelCase  :Union[str, Any]       =f.read(1      )
               if not c:
                    break
               _UpperCamelCase  :str       =chars[c] + 1 if c in chars else 1
     return sorted((Letter(__a			,      __a      ) for c, f in chars.items())			,      key=lambda __a      : x.freq      )



def  _lowerCAmelCase				(				__a      )  ->      Letter | TreeNode:
     '''simple docstring'''







     _UpperCamelCase  :list[Letter | TreeNode]       =letters  # type: ignore
     while len(__a      ) > 1:
          _UpperCamelCase  :List[Any]       =response.pop(0      )
          _UpperCamelCase  :Any       =response.pop(0      )
          _UpperCamelCase  :Optional[Any]       =left.freq + right.freq
          _UpperCamelCase  :Dict       =TreeNode(__a			,      __a			,      __a      )
          response.append(__a      )
          response.sort(key=lambda __a      : x.freq      )
     return response[0]



def  _lowerCAmelCase				(				__a			,      __a      )  ->      list[Letter]:
     '''simple docstring'''







     if isinstance(__a			,      __a      ):
          _UpperCamelCase  :Tuple       =bitstring
          return [root]
     _UpperCamelCase  :TreeNode       =root  # type: ignore
     _UpperCamelCase  :int       =[]
     letters += traverse_tree(treenode.left			,      bitstring + """0"""      )
     letters += traverse_tree(treenode.right			,      bitstring + """1"""      )
     return letters



def  _lowerCAmelCase				(				__a      )  ->      None:
     '''simple docstring'''







     _UpperCamelCase  :Union[str, Any]       =parse_file(__a      )
     _UpperCamelCase  :Dict       =build_tree(__a      )
     _UpperCamelCase  :Union[str, Any]       ={
         k: v for letter in traverse_tree(__a			,      """"""      ) for k, v in letter.bitstring.items()
     }
     print(F'''Huffman Coding  of {file_path}: '''      )
     with open(__a      ) as f:
          while True:
               _UpperCamelCase  :Union[str, Any]       =f.read(1      )
               if not c:
                    break
               print(letters[c]			,      end=""" """      )
     print()


if __name__ == "__main__":
      # pass the file path to the huffman function
      huffman(sys.argv[1])

'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase												=   {'configuration_sew_d': ['SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SEWDConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __UpperCAmelCase												=   [
       'SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST',
       'SEWDForCTC',
       'SEWDForSequenceClassification',
       'SEWDModel',
       'SEWDPreTrainedModel',
   ]

if TYPE_CHECKING:
   from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_sew_d import (
          SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
          SEWDForCTC,
          SEWDForSequenceClassification,
          SEWDModel,
          SEWDPreTrainedModel,
      )


else:
   import sys

   __UpperCAmelCase												=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


