




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_big_bird import BigBirdTokenizer
else:
  _snake_case										=       None

_snake_case										=       logging.get_logger(__name__)
_snake_case										=       {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_snake_case										=       {
    "vocab_file": {
        "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model",
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"
        ),
    },
    "tokenizer_file": {
        "google/bigbird-roberta-base": (
            "https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"
        ),
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"
        ),
    },
}

_snake_case										=       {
    "google/bigbird-roberta-base": 4096,
    "google/bigbird-roberta-large": 4096,
    "google/bigbird-base-trivia-itc": 4096,
}


_snake_case										=       "▁"







class 						lowercase							(   UpperCamelCase__		):
     _a							 =						VOCAB_FILES_NAMES
     _a							 =						PRETRAINED_VOCAB_FILES_MAP
     _a							 =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _a							 =						BigBirdTokenizer
     _a							 =						["input_ids", "attention_mask"]
     _a							 =						[]

     def __init__(  self		,     _a=None		,     _a=None		,     _a="<unk>"		,     _a="<s>"		,     _a="</s>"		,     _a="<pad>"		,     _a="[SEP]"		,     _a="[MASK]"		,     _a="[CLS]"		,     **_a		,     )						->							List[str]:
           _A							:     Tuple			=						AddedToken(UpperCAmelCase__		,     lstrip=UpperCAmelCase__		,     rstrip=UpperCAmelCase__				) if isinstance(UpperCAmelCase__		,     UpperCAmelCase__				) else bos_token
           _A							:     List[str]			=						AddedToken(UpperCAmelCase__		,     lstrip=UpperCAmelCase__		,     rstrip=UpperCAmelCase__				) if isinstance(UpperCAmelCase__		,     UpperCAmelCase__				) else eos_token
           _A							:     Tuple			=						AddedToken(UpperCAmelCase__		,     lstrip=UpperCAmelCase__		,     rstrip=UpperCAmelCase__				) if isinstance(UpperCAmelCase__		,     UpperCAmelCase__				) else unk_token
           _A							:     Union[str, Any]			=						AddedToken(UpperCAmelCase__		,     lstrip=UpperCAmelCase__		,     rstrip=UpperCAmelCase__				) if isinstance(UpperCAmelCase__		,     UpperCAmelCase__				) else pad_token
           _A							:     int			=						AddedToken(UpperCAmelCase__		,     lstrip=UpperCAmelCase__		,     rstrip=UpperCAmelCase__				) if isinstance(UpperCAmelCase__		,     UpperCAmelCase__				) else cls_token
           _A							:     Optional[Any]			=						AddedToken(UpperCAmelCase__		,     lstrip=UpperCAmelCase__		,     rstrip=UpperCAmelCase__				) if isinstance(UpperCAmelCase__		,     UpperCAmelCase__				) else sep_token

           # Mask token behave like a normal word, i.e. include the space before it
           _A							:     str			=						AddedToken(UpperCAmelCase__		,     lstrip=UpperCAmelCase__		,     rstrip=UpperCAmelCase__				) if isinstance(UpperCAmelCase__		,     UpperCAmelCase__				) else mask_token

           super().__init__(
               UpperCAmelCase__		,     tokenizer_file=UpperCAmelCase__		,     bos_token=UpperCAmelCase__		,     eos_token=UpperCAmelCase__		,     unk_token=UpperCAmelCase__		,     sep_token=UpperCAmelCase__		,     pad_token=UpperCAmelCase__		,     cls_token=UpperCAmelCase__		,     mask_token=UpperCAmelCase__		,     **UpperCAmelCase__		,     )

           _A							:     Tuple			=						vocab_file
           _A							:     Optional[Any]			=						False if not self.vocab_file else True

     def 					a__	(  self		,     _a		,     _a = None				)						->							Any:
           _A							:     List[str]			=						[self.sep_token_id]
           _A							:     List[str]			=						[self.cls_token_id]
           if token_ids_a is None:
                 return cls + token_ids_a + sep
           return cls + token_ids_a + sep + token_ids_a + sep

     def 					a__	(  self		,     _a		,     _a = None		,     _a = False				)						->							str:

           if already_has_special_tokens:
                 if token_ids_a is not None:
                       raise ValueError(
                           """You should not supply a second sequence if the provided sequence of """
                           """ids is already formatted with special tokens for the model."""				)
                 return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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

     def 					a__	(  self		,     _a		,     _a = None				)						->							Any:
           _A							:     Tuple			=						[self.sep_token_id]
           _A							:     int			=						[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 					a__	(  self		,     _a		,     _a = None				)						->							Optional[Any]:
           if not self.can_save_slow_tokenizer:
                 raise ValueError(
                     """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                     """tokenizer."""				)

           if not os.path.isdir(UpperCAmelCase__				):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
                 return
           _A							:     int			=						os.path.join(
               UpperCAmelCase__		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

           if os.path.abspath(self.vocab_file				) != os.path.abspath(UpperCAmelCase__				):
                 copyfile(self.vocab_file		,     UpperCAmelCase__				)

           return (out_vocab_file,)




"""simple docstring"""





from __future__ import annotations

from typing import Any




class 					_lowerCAmelCase  :







 """simple docstring"""







 def __init__(			self							:			Any,					UpperCAmelCase__							:			int	):
    __lowercase								=						num_of_nodes
    __lowercase								=						[]
    __lowercase								=						{}


 def 					_lowercase (			self							:			Optional[Any],					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int	):
    self.m_edges.append([u_node, v_node, weight]	)


 def 					_lowercase (			self							:			Union[str, Any],					UpperCAmelCase__							:			int	):

    if self.m_component[u_node] == u_node:
       return u_node
    return self.find_component(self.m_component[u_node]	)


 def 					_lowercase (			self							:			List[Any],					UpperCAmelCase__							:			int	):

    if self.m_component[u_node] != u_node:
       for k in self.m_component:
          __lowercase								=						self.find_component(UpperCAmelCase__	)


 def 					_lowercase (			self							:			Union[str, Any],					UpperCAmelCase__							:			list[int],					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int	):

    if component_size[u_node] <= component_size[v_node]:
       __lowercase								=						v_node
       component_size[v_node] += component_size[u_node]
       self.set_component(UpperCAmelCase__	)

    elif component_size[u_node] >= component_size[v_node]:
       __lowercase								=						self.find_component(UpperCAmelCase__	)
       component_size[u_node] += component_size[v_node]
       self.set_component(UpperCAmelCase__	)



 def 					_lowercase (			self							:			Any	):
    __lowercase								=						[]
    __lowercase								=						0

    __lowercase								=						[-1] * self.m_num_of_nodes

    # A list of components (initialized to all of the nodes)
    for node in range(self.m_num_of_nodes	):
       self.m_component.update({node: node}	)
       component_size.append(1	)

    __lowercase								=						self.m_num_of_nodes

    while num_of_components > 1:
       for edge in self.m_edges:
          __lowercase		,__lowercase		,__lowercase								=						edge

          __lowercase								=						self.m_component[u]
          __lowercase								=						self.m_component[v]

          if u_component != v_component:

             for component in (u_component, v_component):
                if (
                    minimum_weight_edge[component] == -1
                    or minimum_weight_edge[component][2] > w
                ):
                   __lowercase								=						[u, v, w]

       for edge in minimum_weight_edge:
          if isinstance(UpperCAmelCase__,					UpperCAmelCase__	):
             __lowercase		,__lowercase		,__lowercase								=						edge

             __lowercase								=						self.m_component[u]
             __lowercase								=						self.m_component[v]

             if u_component != v_component:
                mst_weight += w
                self.union(UpperCAmelCase__,					UpperCAmelCase__,					UpperCAmelCase__	)
                print(F"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""	)
                num_of_components -= 1

       __lowercase								=						[-1] * self.m_num_of_nodes
    print(F"""The total weight of the minimal spanning tree is: {mst_weight}"""	)







def   _A  (  )	->						None:
   '''simple docstring'''




if __name__ == "__main__":
   import doctest

   doctest.testmod()




