




from __future__ import annotations

from typing import Generic, TypeVar

lowercase__				:     Any 		=						TypeVar("T")
class 		UpperCAmelCase   (				Generic[T]			):







						'''simple docstring'''





						def __init__(						self							:     Tuple       ,	__lowercase							:     T						):






							"""simple docstring"""






							snake_case_		    =     data
							snake_case_		    =     self
							snake_case_		    =     0







class 		UpperCAmelCase   (				Generic[T]			):







						'''simple docstring'''





						def __init__(						self							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     {}






						def        snake_case__						(						self							:     Tuple       ,	__lowercase							:     T						):






							"""simple docstring"""






							snake_case_		    =     DisjointSetTreeNode(snake_case_						)






						def        snake_case__						(						self							:     int       ,	__lowercase							:     T						):






							"""simple docstring"""






							snake_case_		    =     self.map[data]
							if elem_ref != elem_ref.parent:
								snake_case_		    =     self.find_set(elem_ref.parent.data						)
							return elem_ref.parent






						def        snake_case__						(						self							:     Optional[int]       ,	__lowercase							:     DisjointSetTreeNode[T]       ,	__lowercase							:     DisjointSetTreeNode[T]						):






							"""simple docstring"""






							if nodea.rank > nodea.rank:
								snake_case_		    =     nodea
							else:
								snake_case_		    =     nodea
								if nodea.rank == nodea.rank:
									nodea.rank += 1






						def        snake_case__						(						self							:     Optional[int]       ,	__lowercase							:     T       ,	__lowercase							:     T						):






							"""simple docstring"""






							self.link(self.find_set(snake_case_						)       ,	self.find_set(snake_case_						)						)







class 		UpperCAmelCase   (				Generic[T]			):







						'''simple docstring'''





						def __init__(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     {}






						def        snake_case__						(						self							:     str       ,	__lowercase							:     T						):






							"""simple docstring"""






							if node not in self.connections:
								snake_case_		    =     {}






						def        snake_case__						(						self							:     Dict       ,	__lowercase							:     T       ,	__lowercase							:     T       ,	__lowercase							:     int						):






							"""simple docstring"""






							self.add_node(snake_case_						)
							self.add_node(snake_case_						)
							snake_case_		    =     weight
							snake_case_		    =     weight






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     []
							snake_case_		    =     set()
							for start in self.connections:
								for end in self.connections[start]:
									if (start, end) not in seen:
										seen.add((end, start)						)
										edges.append((start, end, self.connections[start][end])						)
							edges.sort(key=lambda __lowercase						: x[2]						)

							# creating the disjoint set
							snake_case_		    =     DisjointSetTree[T]()
							for node in self.connections:
								disjoint_set.make_set(snake_case_						)

							# MST generation
							snake_case_		    =     0
							snake_case_		    =     0
							snake_case_		    =     GraphUndirectedWeighted[T]()
							while num_edges < len(self.connections						) - 1:
								snake_case_		    =     edges[index]
								index += 1
								snake_case_		    =     disjoint_set.find_set(snake_case_						)
								snake_case_		    =     disjoint_set.find_set(snake_case_						)
								if parent_u != parent_v:
									num_edges += 1
									graph.add_edge(snake_case_       ,	snake_case_       ,	snake_case_						)
									disjoint_set.union(snake_case_       ,	snake_case_						)
							return graph


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


lowercase__       =logging.get_logger(__name__)

lowercase__       ={'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase__       ={
    'vocab_file': {
        'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_char_small': (
            'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_chinese_char_base': (
            'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_discriminator': (
            'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_generator': (
            'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'
        ),
    }
}

lowercase__       ={
    'junnyu/roformer_chinese_small': 1536,
    'junnyu/roformer_chinese_base': 1536,
    'junnyu/roformer_chinese_char_small': 512,
    'junnyu/roformer_chinese_char_base': 512,
    'junnyu/roformer_small_discriminator': 128,
    'junnyu/roformer_small_generator': 128,
}


lowercase__       ={
    'junnyu/roformer_chinese_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_base': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_base': {'do_lower_case': True},
    'junnyu/roformer_small_discriminator': {'do_lower_case': True},
    'junnyu/roformer_small_generator': {'do_lower_case': True},
}



class 		UpperCamelCase__  (       __lowercase    ):
   _SCREAMING_SNAKE_CASE      :							Optional[Any]	       =      VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE      :							List[Any]	       =      PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE      :							List[str]	       =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _SCREAMING_SNAKE_CASE      :							Optional[Any]	       =      PRETRAINED_INIT_CONFIGURATION
   _SCREAMING_SNAKE_CASE      :							Optional[int]	       =      RoFormerTokenizer
   def __init__(self :					List[str]					,				snake_case_ :					Optional[int]=None					,				snake_case_ :					str=None					,				snake_case_ :					Optional[Any]=True					,				snake_case_ :					str="[UNK]"					,				snake_case_ :					Dict="[SEP]"					,				snake_case_ :					Any="[PAD]"					,				snake_case_ :					str="[CLS]"					,				snake_case_ :					List[Any]="[MASK]"					,				snake_case_ :					Any=True					,				snake_case_ :					List[str]=None					,				**snake_case_ :					Optional[int]					,				):
    super().__init__(
        snake_case_					,				tokenizer_file=snake_case_					,				do_lower_case=snake_case_					,				unk_token=snake_case_					,				sep_token=snake_case_					,				pad_token=snake_case_					,				cls_token=snake_case_					,				mask_token=snake_case_					,				tokenize_chinese_chars=snake_case_					,				strip_accents=snake_case_					,				**snake_case_					,				)

    __a :  Optional[int]						=  json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
    if (
        pre_tok_state.get('''lowercase'''					,				snake_case_   ) != do_lower_case
        or pre_tok_state.get('''strip_accents'''					,				snake_case_   ) != strip_accents
    ):
     __a :  List[str]						=  getattr(snake_case_					,				pre_tok_state.pop('''type'''   )   )
     __a :  Optional[Any]						=  do_lower_case
     __a :  Optional[int]						=  strip_accents
     __a :  List[str]						=  pre_tok_class(**snake_case_   )

    __a :  Optional[Any]						=  do_lower_case
   def __getstate__(self :					Union[str, Any]   ):
    __a :  Any						=  self.__dict__.copy()
    __a :  Union[str, Any]						=  BertPreTokenizer()
    return state
   def __setstate__(self :					Tuple					,				snake_case_ :					Optional[Any]   ):
    __a :  Dict						=  d
    __a :  str						=  self.__dict__['''_tokenizer'''].get_vocab()
    __a :  Optional[Any]						=  PreTokenizer.custom(JiebaPreTokenizer(snake_case_   )   )
   def       lowerCAmelCase			(self :					Optional[int]					,				snake_case_ :					List[Any]					,				snake_case_ :					Optional[Any]=None   ):
    __a :  Optional[int]						=  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

    if token_ids_a:
     output += token_ids_a + [self.sep_token_id]

    return output
   def       lowerCAmelCase			(self :					Optional[int]					,				snake_case_ :					List[int]					,				snake_case_ :					Optional[List[int]] = None   ):
    __a :  int						=  [self.sep_token_id]
    __a :  List[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       lowerCAmelCase			(self :					int					,				snake_case_ :					str					,				snake_case_ :					Optional[str] = None   ):
    __a :  Optional[Any]						=  self._tokenizer.model.save(snake_case_					,				name=snake_case_   )
    return tuple(snake_case_   )







   def       lowerCAmelCase			(self :					Dict					,				snake_case_ :					Dict					,				snake_case_ :					Tuple=None					,				snake_case_ :					Optional[Any]=None					,				snake_case_ :					Union[str, Any]=False					,				**snake_case_ :					Tuple					,				):
    __a :  List[str]						=  BertPreTokenizer()
    return super().save_pretrained(snake_case_					,				snake_case_					,				snake_case_					,				snake_case_					,				**snake_case_   )
