





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


UpperCAmelCase_      							=     logging.get_logger(__name__)

UpperCAmelCase_      							=     {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase_      							=     {
    """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"""
        ),
    }
}

UpperCAmelCase_      							=     {
    """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,
}


UpperCAmelCase_      							=     {
    """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_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	VOCAB_FILES_NAMES
					lowerCAmelCase_							=	PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_							=	PRETRAINED_INIT_CONFIGURATION
					lowerCAmelCase_							=	RoFormerTokenizer




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

										_snake_case									=				json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
										if (
										    pre_tok_state.get('lowercase'				,						lowerCAmelCase_  ) != do_lower_case
										    or pre_tok_state.get('strip_accents'				,						lowerCAmelCase_  ) != strip_accents
										):
															_snake_case									=				getattr(lowerCAmelCase_				,						pre_tok_state.pop('type'  )  )
															_snake_case									=				do_lower_case
															_snake_case									=				strip_accents
															_snake_case									=				pre_tok_class(**lowerCAmelCase_  )

										_snake_case									=				do_lower_case




					def __getstate__(		self  )		->							Union[str, Any]:
										_snake_case									=				self.__dict__.copy()
										_snake_case									=				BertPreTokenizer()
										return state




					def __setstate__(		self				,						lowerCAmelCase_  )		->							Optional[Any]:
										_snake_case									=				d
										_snake_case									=				self.__dict__['_tokenizer'].get_vocab()
										_snake_case									=				PreTokenizer.custom(JiebaPreTokenizer(lowerCAmelCase_  )  )




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_=None  )		->							Tuple:
										_snake_case									=				[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				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							List[int]:
										_snake_case									=				[self.sep_token_id]
										_snake_case									=				[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				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							Tuple[str]:
										_snake_case									=				self._tokenizer.model.save(lowerCAmelCase_				,						name=lowerCAmelCase_  )
										return tuple(lowerCAmelCase_  )






					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_=None				,						lowerCAmelCase_=None				,						lowerCAmelCase_=False				,						**lowerCAmelCase_				,						)		->							List[Any]:
										_snake_case									=				BertPreTokenizer()
										return super().save_pretrained(lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )










import random





def 						lowerCamelCase__     (     UpperCamelCase__			:       list       ,    UpperCamelCase__			:       List[Any]						)			-> tuple:



					'''simple docstring'''




					_snake_case							,     _snake_case							,     _snake_case									=				[], [], []
					for element in data:
										if element < pivot:
															less.append(UpperCamelCase__						)
										elif element > pivot:
															greater.append(UpperCamelCase__						)
										else:
															equal.append(UpperCamelCase__						)
					return less, equal, greater





def 						lowerCamelCase__     (     UpperCamelCase__			:       list       ,    UpperCamelCase__			:       int						)			-> Dict:



					'''simple docstring'''




					if index >= len(UpperCamelCase__						) or index < 0:
										return None

					_snake_case									=				items[random.randint(0       ,    len(UpperCamelCase__						) - 1						)]
					_snake_case									=				0
					_snake_case							,     _snake_case							,     _snake_case									=				_partition(UpperCamelCase__       ,    UpperCamelCase__						)
					_snake_case									=				len(UpperCamelCase__						)
					_snake_case									=				len(UpperCamelCase__						)

					# index is the pivot
					if m <= index < m + count:
										return pivot
					# must be in smaller
					elif m > index:
										return quick_select(UpperCamelCase__       ,    UpperCamelCase__						)
					# must be in larger
					else:
										return quick_select(UpperCamelCase__       ,    index - (m + count)						)



