






"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A_			: Dict				=			logging.get_logger(__name__)

A_			: int				=			{
    "nghuyong/ernie-1.0-base-zh": "https://huggingface.co/nghuyong/ernie-1.0-base-zh/resolve/main/config.json",
    "nghuyong/ernie-2.0-base-en": "https://huggingface.co/nghuyong/ernie-2.0-base-en/resolve/main/config.json",
    "nghuyong/ernie-2.0-large-en": "https://huggingface.co/nghuyong/ernie-2.0-large-en/resolve/main/config.json",
    "nghuyong/ernie-3.0-base-zh": "https://huggingface.co/nghuyong/ernie-3.0-base-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-medium-zh": "https://huggingface.co/nghuyong/ernie-3.0-medium-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-mini-zh": "https://huggingface.co/nghuyong/ernie-3.0-mini-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-micro-zh": "https://huggingface.co/nghuyong/ernie-3.0-micro-zh/resolve/main/config.json",
    "nghuyong/ernie-3.0-nano-zh": "https://huggingface.co/nghuyong/ernie-3.0-nano-zh/resolve/main/config.json",
    "nghuyong/ernie-gram-zh": "https://huggingface.co/nghuyong/ernie-gram-zh/resolve/main/config.json",
    "nghuyong/ernie-health-zh": "https://huggingface.co/nghuyong/ernie-health-zh/resolve/main/config.json",
}



class 		a_      (	snake_case_ ):







      '''simple docstring'''

      lowerCamelCase__       :				int =	'ernie'




      def __init__(self,     lowerCamelCase_=3_0_5_2_2,     lowerCamelCase_=7_6_8,     lowerCamelCase_=1_2,     lowerCamelCase_=1_2,     lowerCamelCase_=3_0_7_2,     lowerCamelCase_="gelu",     lowerCamelCase_=0.1,     lowerCamelCase_=0.1,     lowerCamelCase_=5_1_2,     lowerCamelCase_=2,     lowerCamelCase_=3,     lowerCamelCase_=False,     lowerCamelCase_=0.02,     lowerCamelCase_=1e-12,     lowerCamelCase_=0,     lowerCamelCase_="absolute",     lowerCamelCase_=True,     lowerCamelCase_=None,     **lowerCamelCase_,     ):

       '''simple docstring'''



       super().__init__(pad_token_id=lowerCamelCase_,     **lowerCamelCase_					)

       lowerCamelCase__     :			List[Any]     				=						vocab_size
       lowerCamelCase__     :			int     				=						hidden_size
       lowerCamelCase__     :			str     				=						num_hidden_layers
       lowerCamelCase__     :			Dict     				=						num_attention_heads
       lowerCamelCase__     :			List[str]     				=						hidden_act
       lowerCamelCase__     :			List[Any]     				=						intermediate_size
       lowerCamelCase__     :			Tuple     				=						hidden_dropout_prob
       lowerCamelCase__     :			Dict     				=						attention_probs_dropout_prob
       lowerCamelCase__     :			Dict     				=						max_position_embeddings
       lowerCamelCase__     :			Optional[int]     				=						type_vocab_size
       lowerCamelCase__     :			List[Any]     				=						task_type_vocab_size
       lowerCamelCase__     :			List[str]     				=						use_task_id
       lowerCamelCase__     :			Tuple     				=						initializer_range
       lowerCamelCase__     :			int     				=						layer_norm_eps
       lowerCamelCase__     :			Tuple     				=						position_embedding_type
       lowerCamelCase__     :			Any     				=						use_cache
       lowerCamelCase__     :			Optional[int]     				=						classifier_dropout



class 		a_      (	snake_case_ ):







      '''simple docstring'''

      @property
      def 			a__							(self					):

       '''simple docstring'''



       if self.task == "multiple-choice":
        lowerCamelCase__     :			Any     				=						{0: 'batch', 1: 'choice', 2: 'sequence'}
       else:
        lowerCamelCase__     :			Optional[Any]     				=						{0: 'batch', 1: 'sequence'}
       return OrderedDict(
           [
               ('input_ids', dynamic_axis),
               ('attention_mask', dynamic_axis),
               ('token_type_ids', dynamic_axis),
               ('task_type_ids', dynamic_axis),
           ]					)







from __future__ import annotations

import sys






class 	A	:
     """simple docstring"""

     def __init__(			self     :      str		,     A__     :      str		,     A__     :      int	) ->				str:
           lowerCamelCase__					     = letter
           lowerCamelCase__					     = freq
           lowerCamelCase__					     = {}




     def __repr__(			self     :      Any	) ->				str:
           return F"""{self.letter}:{self.freq}"""






class 	A	:
     """simple docstring"""

     def __init__(			self     :      Optional[Any]		,     A__     :      int		,     A__     :      Letter | TreeNode		,     A__     :      Letter | TreeNode	) ->				Any:
           lowerCamelCase__					     = freq
           lowerCamelCase__					     = left
           lowerCamelCase__					     = right

def 	lowerCAmelCase_	(     lowerCamelCase:				str  )    ->	list[Letter]:


      '''simple docstring'''




      lowerCamelCase__					     = {}
      with open(lowerCamelCase  ) as f:
            while True:
                  lowerCamelCase__					     = f.read(1  )
                  if not c:
                        break
                  lowerCamelCase__					     = chars[c] + 1 if c in chars else 1
      return sorted((Letter(lowerCamelCase   , lowerCamelCase  ) for c, f in chars.items())   , key=lambda lowerCamelCase  : x.freq  )

def 	lowerCAmelCase_	(     lowerCamelCase:				list[Letter]  )    ->	Letter | TreeNode:


      '''simple docstring'''




      lowerCamelCase__					     = letters  # type: ignore
      while len(lowerCamelCase  ) > 1:
            lowerCamelCase__					     = response.pop(0  )
            lowerCamelCase__					     = response.pop(0  )
            lowerCamelCase__					     = left.freq + right.freq
            lowerCamelCase__					     = TreeNode(lowerCamelCase   , lowerCamelCase   , lowerCamelCase  )
            response.append(lowerCamelCase  )
            response.sort(key=lambda lowerCamelCase  : x.freq  )
      return response[0]

def 	lowerCAmelCase_	(     lowerCamelCase:				Letter | TreeNode   , lowerCamelCase:				str  )    ->	list[Letter]:


      '''simple docstring'''




      if isinstance(lowerCamelCase   , lowerCamelCase  ):
            lowerCamelCase__					     = bitstring
            return [root]
      lowerCamelCase__					     = root  # type: ignore
      lowerCamelCase__					     = []
      letters += traverse_tree(treenode.left   , bitstring + '0'  )
      letters += traverse_tree(treenode.right   , bitstring + '1'  )
      return letters

def 	lowerCAmelCase_	(     lowerCamelCase:				str  )    ->	None:


      '''simple docstring'''




      lowerCamelCase__					     = parse_file(lowerCamelCase  )
      lowerCamelCase__					     = build_tree(lowerCamelCase  )
      lowerCamelCase__					     = {
          k: v for letter in traverse_tree(lowerCamelCase   , ''  ) for k, v in letter.bitstring.items()
      }
      print(f"""Huffman Coding  of {file_path}: """  )
      with open(lowerCamelCase  ) as f:
            while True:
                  lowerCamelCase__					     = 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])