





import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


UpperCAmelCase_       : Union[str, Any]							=    logging.get_logger(__name__)

UpperCAmelCase_       : Optional[Any]							=    {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase_       : Union[str, Any]							=    {
    """vocab_file""": {
        """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json""",
        """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json""",
        """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json""",
        """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json""",
        """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json""",
        """microsoft/deberta-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt""",
        """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt""",
        """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt""",
        """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt""",
        """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt""",
        """microsoft/deberta-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt"""
        ),
    },
}

UpperCAmelCase_       : Optional[Any]							=    {
    """microsoft/deberta-base""": 5_12,
    """microsoft/deberta-large""": 5_12,
    """microsoft/deberta-xlarge""": 5_12,
    """microsoft/deberta-base-mnli""": 5_12,
    """microsoft/deberta-large-mnli""": 5_12,
    """microsoft/deberta-xlarge-mnli""": 5_12,
}

UpperCAmelCase_       : Union[str, Any]							=    {
    """microsoft/deberta-base""": {"""do_lower_case""": False},
    """microsoft/deberta-large""": {"""do_lower_case""": False},
}





class   lowercase__     (				__A	):
  __UpperCamelCase						  =	VOCAB_FILES_NAMES
  __UpperCamelCase						  =	PRETRAINED_VOCAB_FILES_MAP
  __UpperCamelCase						  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __UpperCamelCase						  =	["""input_ids""", """attention_mask""", """token_type_ids"""]
  __UpperCamelCase						  =	DebertaTokenizer







  def __init__(						self     ,    _lowercase=None     ,    _lowercase=None     ,    _lowercase=None     ,    _lowercase="replace"     ,    _lowercase="[CLS]"     ,    _lowercase="[SEP]"     ,    _lowercase="[SEP]"     ,    _lowercase="[CLS]"     ,    _lowercase="[UNK]"     ,    _lowercase="[PAD]"     ,    _lowercase="[MASK]"     ,    _lowercase=False     ,    **_lowercase     ,    ):
       super().__init__(
           _lowercase     ,    _lowercase     ,    tokenizer_file=_lowercase     ,    errors=_lowercase     ,    bos_token=_lowercase     ,    eos_token=_lowercase     ,    unk_token=_lowercase     ,    sep_token=_lowercase     ,    cls_token=_lowercase     ,    pad_token=_lowercase     ,    mask_token=_lowercase     ,    add_prefix_space=_lowercase     ,    **_lowercase     ,    )
       lowerCAmelCase_       :							Tuple			 =		kwargs.pop("""add_bos_token"""     ,    _lowercase    )

       lowerCAmelCase_       :							str			 =		json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
       if pre_tok_state.get("""add_prefix_space"""     ,    _lowercase    ) != add_prefix_space:
            lowerCAmelCase_       :							Optional[Any]			 =		getattr(_lowercase     ,    pre_tok_state.pop("""type"""    )    )
            lowerCAmelCase_       :							List[Any]			 =		add_prefix_space
            lowerCAmelCase_       :							Tuple			 =		pre_tok_class(**_lowercase    )

       lowerCAmelCase_       :							Any			 =		add_prefix_space







  @property
  def 						UpperCAmelCase__		(						self    ):
       if self._mask_token is None:
            if self.verbose:
                 logger.error("""Using mask_token, but it is not set yet."""    )
            return None
       return str(self._mask_token    )







  @mask_token.setter
  def 						UpperCAmelCase__		(						self     ,    _lowercase    ):
       lowerCAmelCase_       :							Any			 =		AddedToken(_lowercase     ,    lstrip=_lowercase     ,    rstrip=_lowercase    ) if isinstance(_lowercase     ,    _lowercase    ) else value
       lowerCAmelCase_       :							Any			 =		value







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase = None    ):
       if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       lowerCAmelCase_       :							List[str]			 =		[self.cls_token_id]
       lowerCAmelCase_       :							Optional[Any]			 =		[self.sep_token_id]
       return cls + token_ids_a + sep + token_ids_a + sep







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase = None    ):
       lowerCAmelCase_       :							int			 =		[self.sep_token_id]
       lowerCAmelCase_       :							Optional[Any]			 =		[self.cls_token_id]

       if token_ids_a is None:
            return len(cls + token_ids_a + sep    ) * [0]
       return len(cls + token_ids_a + sep    ) * [0] + len(token_ids_a + sep    ) * [1]







  def 						UpperCAmelCase__		(						self     ,    *_lowercase     ,    **_lowercase    ):
       lowerCAmelCase_       :							List[str]			 =		kwargs.get("""is_split_into_words"""     ,    _lowercase    )
       assert self.add_prefix_space or not is_split_into_words, (
           F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
           "to use it with pretokenized inputs."
       )

       return super()._batch_encode_plus(*_lowercase     ,    **_lowercase    )







  def 						UpperCAmelCase__		(						self     ,    *_lowercase     ,    **_lowercase    ):
       lowerCAmelCase_       :							Tuple			 =		kwargs.get("""is_split_into_words"""     ,    _lowercase    )

       assert self.add_prefix_space or not is_split_into_words, (
           F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
           "to use it with pretokenized inputs."
       )

       return super()._encode_plus(*_lowercase     ,    **_lowercase    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase     ,    _lowercase = None    ):
       lowerCAmelCase_       :							Any			 =		self._tokenizer.model.save(_lowercase     ,    name=_lowercase    )
       return tuple(_lowercase    )







  def 						UpperCAmelCase__		(						self     ,    _lowercase    ):
       lowerCAmelCase_       :							Optional[int]			 =		[]
       for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(_lowercase     ,    add_special_tokens=_lowercase    ) + [self.eos_token_id]    )

       if len(_lowercase    ) > self.model_max_length:
            lowerCAmelCase_       :							List[str]			 =		input_ids[-self.model_max_length :]
       return input_ids







from __future__ import annotations

import sys





class   lowercase__     :







  def __init__(						self     ,    _lowercase     ,    _lowercase    ):
       lowerCAmelCase_       :							str			 =		letter
       lowerCAmelCase_       :							int			 =		freq
       lowerCAmelCase_       :							dict[str, str]			 =		{}







  def __repr__(						self    ):
       return F'{self.letter}:{self.freq}'





class   lowercase__     :







  def __init__(						self     ,    _lowercase     ,    _lowercase     ,    _lowercase    ):
       lowerCAmelCase_       :							int			 =		freq
       lowerCAmelCase_       :							Letter | TreeNode			 =		left
       lowerCAmelCase_       :							Letter | TreeNode			 =		right






def 				_lowerCAmelCase			(	_a :       str      )						->      list[Letter]:
     lowerCAmelCase_       :							dict[str, int]			 =		{}
     with open(_a      ) as f:
          while True:
               lowerCAmelCase_       :							Any			 =		f.read(1      )
               if not c:
                    break
               lowerCAmelCase_       :							List[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 :       list[Letter]      )						->      Letter | TreeNode:
     lowerCAmelCase_       :							list[Letter | TreeNode]			 =		letters  # type: ignore
     while len(_a      ) > 1:
          lowerCAmelCase_       :							Any			 =		response.pop(0      )
          lowerCAmelCase_       :							int			 =		response.pop(0      )
          lowerCAmelCase_       :							List[Any]			 =		left.freq + right.freq
          lowerCAmelCase_       :							Union[str, Any]			 =		TreeNode(_a       , _a       , _a      )
          response.append(_a      )
          response.sort(key=lambda _a      : x.freq      )
     return response[0]






def 				_lowerCAmelCase			(	_a :       Letter | TreeNode       , _a :       str      )						->      list[Letter]:
     if isinstance(_a       , _a      ):
          lowerCAmelCase_       :							Union[str, Any]			 =		bitstring
          return [root]
     lowerCAmelCase_       :							TreeNode			 =		root  # type: ignore
     lowerCAmelCase_       :							Tuple			 =		[]
     letters += traverse_tree(treenode.left       , bitstring + """0"""      )
     letters += traverse_tree(treenode.right       , bitstring + """1"""      )
     return letters






def 				_lowerCAmelCase			(	_a :       str      )						->      None:
     lowerCAmelCase_       :							Optional[Any]			 =		parse_file(_a      )
     lowerCAmelCase_       :							Optional[int]			 =		build_tree(_a      )
     lowerCAmelCase_       :							str			 =		{
         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:
               lowerCAmelCase_       :							Optional[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])
