'''simple docstring'''

from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
							from ..models.auto import AutoTokenizer
class   SCREAMING_SNAKE_CASE			:







		"""simple docstring"""






		def 		UpperCamelCase__       (   self		,						__A				) ->     List[Any]:
								raise NotImplementedError()






		def 		UpperCamelCase__       (   self				) ->     str:
								raise NotImplementedError()

class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""






		def __init__(   self		,						__A		,						__A = False		,						**__A				) ->     Dict:
								_lowerCAmelCase										=tokenizer
								_lowerCAmelCase										=skip_prompt
								_lowerCAmelCase										=decode_kwargs

								# variables used in the streaming process
								_lowerCAmelCase										=[]
								_lowerCAmelCase										=0
								_lowerCAmelCase										=True






		def 		UpperCamelCase__       (   self		,						__A				) ->     int:
								if len(value.shape				) > 1 and value.shape[0] > 1:
														raise ValueError('TextStreamer only supports batch size 1'				)
								elif len(value.shape				) > 1:
														_lowerCAmelCase										=value[0]

								if self.skip_prompt and self.next_tokens_are_prompt:
														_lowerCAmelCase										=False
														return

								# Add the new token to the cache and decodes the entire thing.
								self.token_cache.extend(value.tolist()				)
								_lowerCAmelCase										=self.tokenizer.decode(self.token_cache		,						**self.decode_kwargs				)

								# After the symbol for a new line, we flush the cache.
								if text.endswith('\n'				):
														_lowerCAmelCase										=text[self.print_len :]
														_lowerCAmelCase										=[]
														_lowerCAmelCase										=0
								# If the last token is a CJK character, we print the characters.
								elif len(__A				) > 0 and self._is_chinese_char(ord(text[-1]				)				):
														_lowerCAmelCase										=text[self.print_len :]
														self.print_len += len(__A				)
								# Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
								# which may change with the subsequent token -- there are probably smarter ways to do this!)
								else:
														_lowerCAmelCase										=text[self.print_len : text.rfind(' '				) + 1]
														self.print_len += len(__A				)

								self.on_finalized_text(__A				)






		def 		UpperCamelCase__       (   self				) ->     int:
								# Flush the cache, if it exists
								if len(self.token_cache				) > 0:
														_lowerCAmelCase										=self.tokenizer.decode(self.token_cache		,						**self.decode_kwargs				)
														_lowerCAmelCase										=text[self.print_len :]
														_lowerCAmelCase										=[]
														_lowerCAmelCase										=0
								else:
														_lowerCAmelCase										=''

								_lowerCAmelCase										=True
								self.on_finalized_text(__A		,						stream_end=__A				)






		def 		UpperCamelCase__       (   self		,						__A		,						__A = False				) ->     Tuple:
								print(__A		,						flush=__A		,						end='' if not stream_end else None				)






		def 		UpperCamelCase__       (   self		,						__A				) ->     str:
								# This defines a "chinese character" as anything in the CJK Unicode block:
								#   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
								#
								# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
								# despite its name. The modern Korean Hangul alphabet is a different block,
								# as is Japanese Hiragana and Katakana. Those alphabets are used to write
								# space-separated words, so they are not treated specially and handled
								# like the all of the other languages.
								if (
								    (cp >= 0X4_E_0_0 and cp <= 0X9_F_F_F)
								    or (cp >= 0X3_4_0_0 and cp <= 0X4_D_B_F)  #
								    or (cp >= 0X2_0_0_0_0 and cp <= 0X2_A_6_D_F)  #
								    or (cp >= 0X2_A_7_0_0 and cp <= 0X2_B_7_3_F)  #
								    or (cp >= 0X2_B_7_4_0 and cp <= 0X2_B_8_1_F)  #
								    or (cp >= 0X2_B_8_2_0 and cp <= 0X2_C_E_A_F)  #
								    or (cp >= 0XF_9_0_0 and cp <= 0XF_A_F_F)
								    or (cp >= 0X2_F_8_0_0 and cp <= 0X2_F_A_1_F)  #
								):  #
														return True

								return False

class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""






		def __init__(   self		,						__A		,						__A = False		,						__A = None		,						**__A				) ->     List[Any]:
								super().__init__(__A		,						__A		,						**__A				)
								_lowerCAmelCase										=Queue()
								_lowerCAmelCase										=None
								_lowerCAmelCase										=timeout






		def 		UpperCamelCase__       (   self		,						__A		,						__A = False				) ->     Any:
								self.text_queue.put(__A		,						timeout=self.timeout				)
								if stream_end:
														self.text_queue.put(self.stop_signal		,						timeout=self.timeout				)






		def __iter__(   self				) ->     Optional[int]:
								return self






		def 		UpperCamelCase__       (   self				) ->     List[str]:
								_lowerCAmelCase										=self.text_queue.get(timeout=self.timeout				)
								if value == self.stop_signal:
														raise StopIteration()
								else:
														return value






'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


lowercase_     		= logging.get_logger(__name__)

lowercase_     		= {'''vocab_file''': '''vocab.txt'''}

lowercase_     		= {
    '''vocab_file''': {
        '''YituTech/conv-bert-base''': '''https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt''',
        '''YituTech/conv-bert-medium-small''': (
            '''https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt'''
        ),
        '''YituTech/conv-bert-small''': '''https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt''',
    }
}

lowercase_     		= {
    '''YituTech/conv-bert-base''': 512,
    '''YituTech/conv-bert-medium-small''': 512,
    '''YituTech/conv-bert-small''': 512,
}


lowercase_     		= {
    '''YituTech/conv-bert-base''': {'''do_lower_case''': True},
    '''YituTech/conv-bert-medium-small''': {'''do_lower_case''': True},
    '''YituTech/conv-bert-small''': {'''do_lower_case''': True},
}
class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""
		lowercase   :      Union[str, Any]       =							VOCAB_FILES_NAMES
		lowercase   :      Tuple       =							PRETRAINED_VOCAB_FILES_MAP
		lowercase   :      Optional[int]       =							PRETRAINED_INIT_CONFIGURATION
		lowercase   :      int       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowercase   :      List[str]       =							ConvBertTokenizer






		def __init__(   self		,						__A=None		,						__A=None		,						__A=True		,						__A="[UNK]"		,						__A="[SEP]"		,						__A="[PAD]"		,						__A="[CLS]"		,						__A="[MASK]"		,						__A=True		,						__A=None		,						**__A		,						) ->     Union[str, Any]:
								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		,						)

								_lowerCAmelCase										=json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
								if (
								    normalizer_state.get('lowercase'		,						__A				) != do_lower_case
								    or normalizer_state.get('strip_accents'		,						__A				) != strip_accents
								    or normalizer_state.get('handle_chinese_chars'		,						__A				) != tokenize_chinese_chars
								):
														_lowerCAmelCase										=getattr(__A		,						normalizer_state.pop('type'				)				)
														_lowerCAmelCase										=do_lower_case
														_lowerCAmelCase										=strip_accents
														_lowerCAmelCase										=tokenize_chinese_chars
														_lowerCAmelCase										=normalizer_class(**__A				)

								_lowerCAmelCase										=do_lower_case






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





