

from __future__ import annotations

from typing import Generic, TypeVar

snake_case_        =			TypeVar('''T''')


class 				SCREAMING_SNAKE_CASE__ (Generic[T]					):





    def __init__(				self						,       a):
         lowercase__   :       int				=	data
         lowercase__   :       List[Any]				=	self
         lowercase__   :       Optional[Any]				=	0



class 				SCREAMING_SNAKE_CASE__ (Generic[T]					):





    def __init__(				self):
         # map from node name to the node object
         lowercase__   :       dict[T, DisjointSetTreeNode[T]]				=	{}





    def 				snake_case_    (				self						,       a):
         # create a new set with x as its member
         lowercase__   :       Optional[int]				=	DisjointSetTreeNode(a)





    def 				snake_case_    (				self						,       a):
         # find the set x belongs to (with path-compression)
         lowercase__   :       Optional[Any]				=	self.map[data]
         if elem_ref != elem_ref.parent:
              lowercase__   :       int				=	self.find_set(elem_ref.parent.data)
         return elem_ref.parent





    def 				snake_case_    (				self						,       a						,       a):
         # helper function for union operation
         if nodea.rank > nodea.rank:
              lowercase__   :       List[Any]				=	nodea
         else:
              lowercase__   :       Tuple				=	nodea
              if nodea.rank == nodea.rank:
                   nodea.rank += 1





    def 				snake_case_    (				self						,       a						,       a):
         # merge 2 disjoint sets
         self.link(self.find_set(a)						,       self.find_set(a))



class 				SCREAMING_SNAKE_CASE__ (Generic[T]					):





    def __init__(				self):
         # connections: map from the node to the neighbouring nodes (with weights)
         lowercase__   :       dict[T, dict[T, int]]				=	{}





    def 				snake_case_    (				self						,       a):
         # add a node ONLY if its not present in the graph
         if node not in self.connections:
              lowercase__   :       List[str]				=	{}





    def 				snake_case_    (				self						,       a						,       a						,       a):
         # add an edge with the given weight
         self.add_node(a)
         self.add_node(a)
         lowercase__   :       Optional[Any]				=	weight
         lowercase__   :       List[str]				=	weight





    def 				snake_case_    (				self):
         lowercase__   :       Union[str, Any]				=	[]
         lowercase__   :       Dict				=	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 a: x[2])

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

         # MST generation
         lowercase__   :       List[str]				=	0
         lowercase__   :       Tuple				=	0
         lowercase__   :       List[Any]				=	GraphUndirectedWeighted[T]()
         while num_edges < len(self.connections) - 1:
              lowercase__   :       Optional[int]				=	edges[index]
              index += 1
              lowercase__   :       List[str]				=	disjoint_set.find_set(a)
              lowercase__   :       Tuple				=	disjoint_set.find_set(a)
              if parent_u != parent_v:
                   num_edges += 1
                   graph.add_edge(a						,       a						,       a)
                   disjoint_set.union(a						,       a)
         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


snake_case_        =			logging.get_logger(__name__)

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

snake_case_        =			{
    '''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'''
        ),
    }
}

snake_case_        =			{
    '''junnyu/roformer_chinese_small''': 1_536,
    '''junnyu/roformer_chinese_base''': 1_536,
    '''junnyu/roformer_chinese_char_small''': 512,
    '''junnyu/roformer_chinese_char_base''': 512,
    '''junnyu/roformer_small_discriminator''': 128,
    '''junnyu/roformer_small_generator''': 128,
}


snake_case_        =			{
    '''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 				SCREAMING_SNAKE_CASE__ (__snake_case					):
    __lowerCamelCase						:	Union[str, Any]														=					VOCAB_FILES_NAMES
    __lowerCamelCase						:	int														=					PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:	Any														=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase						:	int														=					PRETRAINED_INIT_CONFIGURATION
    __lowerCamelCase						:	Tuple														=					RoFormerTokenizer





    def __init__(				self						,       a=None						,       a=None						,       a=True						,       a="[UNK]"						,       a="[SEP]"						,       a="[PAD]"						,       a="[CLS]"						,       a="[MASK]"						,       a=True						,       a=None						,       **a						,       ):
         super().__init__(
             a						,       tokenizer_file=a						,       do_lower_case=a						,       unk_token=a						,       sep_token=a						,       pad_token=a						,       cls_token=a						,       mask_token=a						,       tokenize_chinese_chars=a						,       strip_accents=a						,       **a						,       )

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

         lowercase__   :       Optional[int]				=	do_lower_case





    def __getstate__(				self):
         lowercase__   :       str				=	self.__dict__.copy()
         lowercase__   :       Any				=	BertPreTokenizer()
         return state





    def __setstate__(				self						,       a):
         lowercase__   :       Union[str, Any]				=	d
         lowercase__   :       int				=	self.__dict__['_tokenizer'].get_vocab()
         lowercase__   :       List[str]				=	PreTokenizer.custom(JiebaPreTokenizer(a))





    def 				snake_case_    (				self						,       a						,       a=None):
         lowercase__   :       Union[str, Any]				=	[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 				snake_case_    (				self						,       a						,       a = None):
         lowercase__   :       Tuple				=	[self.sep_token_id]
         lowercase__   :       Optional[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 				snake_case_    (				self						,       a						,       a = None):
         lowercase__   :       Optional[Any]				=	self._tokenizer.model.save(a						,       name=a)
         return tuple(a)





    def 				snake_case_    (				self						,       a						,       a=None						,       a=None						,       a=False						,       **a						,       ):
         lowercase__   :       List[str]				=	BertPreTokenizer()
         return super().save_pretrained(a						,       a						,       a						,       a						,       **a)

