import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class   SCREAMING_SNAKE_CASE			(						__a    ,			unittest.TestCase):







		"""simple docstring"""
		lowercase   :      Union[str, Any]       =							CTRLTokenizer
		lowercase   :      int       =							False
		lowercase   :      List[str]       =							False






		def 		UpperCamelCase__       (   self				) ->     Any:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								_lowerCAmelCase										=['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
								_lowerCAmelCase										=dict(zip(snake_case__		,						range(len(snake_case__				)				)				)				)
								_lowerCAmelCase										=['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
								_lowerCAmelCase										={'unk_token': '<unk>'}

								_lowerCAmelCase										=os.path.join(self.tmpdirname		,						VOCAB_FILES_NAMES['vocab_file']				)
								_lowerCAmelCase										=os.path.join(self.tmpdirname		,						VOCAB_FILES_NAMES['merges_file']				)
								with open(self.vocab_file		,						'w'		,						encoding='utf-8'				) as fp:
														fp.write(json.dumps(snake_case__				) + '\n'				)
								with open(self.merges_file		,						'w'		,						encoding='utf-8'				) as fp:
														fp.write('\n'.join(snake_case__				)				)






		def 		UpperCamelCase__       (   self		,						**__A				) ->     Tuple:
								kwargs.update(self.special_tokens_map				)
								return CTRLTokenizer.from_pretrained(self.tmpdirname		,						**snake_case__				)






		def 		UpperCamelCase__       (   self		,						__A				) ->     str:
								_lowerCAmelCase										='adapt react readapt apt'
								_lowerCAmelCase										='adapt react readapt apt'
								return input_text, output_text






		def 		UpperCamelCase__       (   self				) ->     Tuple:
								_lowerCAmelCase										=CTRLTokenizer(self.vocab_file		,						self.merges_file		,						**self.special_tokens_map				)
								_lowerCAmelCase										='adapt react readapt apt'
								_lowerCAmelCase										='adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
								_lowerCAmelCase										=tokenizer.tokenize(snake_case__				)
								self.assertListEqual(snake_case__		,						snake_case__				)

								_lowerCAmelCase										=tokens + [tokenizer.unk_token]

								_lowerCAmelCase										=[0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__				)		,						snake_case__				)






'''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				)





