
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__		:Optional[int]			  =   logging.get_logger(__name__)

lowercase__		:Any			  =   {"vocab_file": "vocab.txt"}

lowercase__		:Any			  =   {
    "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__		:List[Any]			  =   {
    "YituTech/conv-bert-base": 512,
    "YituTech/conv-bert-medium-small": 512,
    "YituTech/conv-bert-small": 512,
}


lowercase__		:Optional[Any]			  =   {
    "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     lowercase		( SCREAMING_SNAKE_CASE__		):
							lowercase_	:	Tuple	 =VOCAB_FILES_NAMES
							lowercase_	:	Any	 =PRETRAINED_VOCAB_FILES_MAP
							lowercase_	:	List[str]	 =PRETRAINED_INIT_CONFIGURATION
							lowercase_	:	Any	 =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_	:	int	 =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__       ,):
												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						     =						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
												):
																	lowercase						     =						getattr(A__       ,normalizer_state.pop('''type'''))
																	lowercase						     =						do_lower_case
																	lowercase						     =						strip_accents
																	lowercase						     =						tokenize_chinese_chars
																	lowercase						     =						normalizer_class(**A__)

												lowercase						     =						do_lower_case




							def 			A__				(    self       ,A__       ,A__=None):
												lowercase						     =						[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 			A__				(    self       ,A__       ,A__ = None):
												lowercase						     =						[self.sep_token_id]
												lowercase						     =						[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 			A__				(    self       ,A__       ,A__ = None):
												lowercase						     =						self._tokenizer.model.save(A__       ,name=A__)
												return tuple(A__)






import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict







@dataclass
class     lowercase		( SCREAMING_SNAKE_CASE__		):
							lowercase_	:	int	 =ComputeEnvironment.AMAZON_SAGEMAKER
							lowercase_	:	Optional[int]	 =True
							lowercase_	:	Any	 ='''ml.p3.2xlarge'''
							lowercase_	:	Any	 ='''accelerate_sagemaker_execution_role'''
							lowercase_	:	Union[str, Any]	 ='''hf-sm'''
							lowercase_	:	Any	 ='''us-east-1'''
							lowercase_	:	List[str]	 =1
							lowercase_	:	Any	 ='''accelerate-sagemaker-1'''
							lowercase_	:	Union[str, Any]	 ='''1.6'''
							lowercase_	:	Any	 ='''4.4'''
							lowercase_	:	Any	 ='''train.py'''
							lowercase_	:	int	 =[
							    '''--model_name_or_path''',
							    '''bert''',
							    '''--do_train''',
							    '''False''',
							    '''--epochs''',
							    '''3''',
							    '''--learning_rate''',
							    '''5e-5''',
							    '''--max_steps''',
							    '''50.5''',
							]
							lowercase_	:	List[Any]	 =[
							    '''--model_name_or_path''',
							    '''bert''',
							    '''--do_train''',
							    '''--do_test''',
							    '''False''',
							    '''--do_predict''',
							    '''--epochs''',
							    '''3''',
							    '''--learning_rate''',
							    '''5e-5''',
							    '''--max_steps''',
							    '''50.5''',
							]







class     lowercase		( unittest.TestCase		):




							def 			A__				(    self):
												# If no defaults are changed, `to_kwargs` returns an empty dict.
												lowercase						     =						_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args)
												assert isinstance(converted_args['''model_name_or_path''']       ,A__)
												assert isinstance(converted_args['''do_train''']       ,A__)
												assert isinstance(converted_args['''epochs''']       ,A__)
												assert isinstance(converted_args['''learning_rate''']       ,A__)
												assert isinstance(converted_args['''max_steps''']       ,A__)

												with pytest.raises(A__):
																	_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args)




