



import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


lowerCamelCase__			= logging.get_logger(__name__)

lowerCamelCase__			= {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowerCamelCase__			= {
    """vocab_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
        ),
    },
    """tokenizer_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/tokenizer.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/tokenizer.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json""",
        """roberta-base-openai-detector""": (
            """https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json"""
        ),
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json"""
        ),
    },
}

lowerCamelCase__			= {
    """roberta-base""": 512,
    """roberta-large""": 512,
    """roberta-large-mnli""": 512,
    """distilroberta-base""": 512,
    """roberta-base-openai-detector""": 512,
    """roberta-large-openai-detector""": 512,
}






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	int    =VOCAB_FILES_NAMES
							__lowerCamelCase	:	Any    =PRETRAINED_VOCAB_FILES_MAP
							__lowerCamelCase	:	Union[str, Any]    =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowerCamelCase	:	str    =['input_ids', 'attention_mask']
							__lowerCamelCase	:	Optional[int]    =RobertaTokenizer





							def __init__(   self		:		List[str]      ,				__lowercase		:		str=None      ,				__lowercase		:		Optional[int]=None      ,				__lowercase		:		str=None      ,				__lowercase		:		int="replace"      ,				__lowercase		:		int="<s>"      ,				__lowercase		:		List[str]="</s>"      ,				__lowercase		:		List[str]="</s>"      ,				__lowercase		:		Any="<s>"      ,				__lowercase		:		Tuple="<unk>"      ,				__lowercase		:		Dict="<pad>"      ,				__lowercase		:		Tuple="<mask>"      ,				__lowercase		:		Dict=False      ,				__lowercase		:		int=True      ,				**__lowercase		:		Tuple      ,				):

											'''simple docstring'''
											super().__init__(
											    __lowercase      ,				__lowercase      ,				tokenizer_file=__lowercase      ,				errors=__lowercase      ,				bos_token=__lowercase      ,				eos_token=__lowercase      ,				sep_token=__lowercase      ,				cls_token=__lowercase      ,				unk_token=__lowercase      ,				pad_token=__lowercase      ,				mask_token=__lowercase      ,				add_prefix_space=__lowercase      ,				trim_offsets=__lowercase      ,				**__lowercase      ,				)

											__a       =		json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
											if pre_tok_state.get("""add_prefix_space"""      ,				__lowercase	) != add_prefix_space:
															__a       =		getattr(__lowercase      ,				pre_tok_state.pop("""type"""	)	)
															__a       =		add_prefix_space
															__a       =		pre_tok_class(**__lowercase	)

											__a       =		add_prefix_space

											__a       =		"""post_processor"""
											__a       =		getattr(self.backend_tokenizer      ,				__lowercase      ,				__lowercase	)
											if tokenizer_component_instance:
															__a       =		json.loads(tokenizer_component_instance.__getstate__()	)

															# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
															if "sep" in state:
																			__a       =		tuple(state["""sep"""]	)
															if "cls" in state:
																			__a       =		tuple(state["""cls"""]	)

															__a       =		False

															if state.get("""add_prefix_space"""      ,				__lowercase	) != add_prefix_space:
																			__a       =		add_prefix_space
																			__a       =		True

															if state.get("""trim_offsets"""      ,				__lowercase	) != trim_offsets:
																			__a       =		trim_offsets
																			__a       =		True

															if changes_to_apply:
																			__a       =		getattr(__lowercase      ,				state.pop("""type"""	)	)
																			__a       =		component_class(**__lowercase	)
																			setattr(self.backend_tokenizer      ,				__lowercase      ,				__lowercase	)





							@property
							def 						UpperCamelCase_					(   self		:		Any	):

											'''simple docstring'''
											if self._mask_token is None:
															if self.verbose:
																			logger.error("""Using mask_token, but it is not set yet."""	)
															return None
											return str(self._mask_token	)





							@mask_token.setter
							def 						UpperCamelCase_					(   self		:		str      ,				__lowercase		:		Tuple	):

											'''simple docstring'''
											__a       =		AddedToken(__lowercase      ,				lstrip=__lowercase      ,				rstrip=__lowercase	) if isinstance(__lowercase      ,				__lowercase	) else value
											__a       =		value





							def 						UpperCamelCase_					(   self		:		int      ,				*__lowercase		:		Tuple      ,				**__lowercase		:		Optional[int]	):

											'''simple docstring'''
											__a       =		kwargs.get("""is_split_into_words"""      ,				__lowercase	)
											assert self.add_prefix_space or not is_split_into_words, (
											    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
											    "to use it with pretokenized inputs."
											)

											return super()._batch_encode_plus(*__lowercase      ,				**__lowercase	)





							def 						UpperCamelCase_					(   self		:		Optional[int]      ,				*__lowercase		:		Any      ,				**__lowercase		:		Optional[int]	):

											'''simple docstring'''
											__a       =		kwargs.get("""is_split_into_words"""      ,				__lowercase	)

											assert self.add_prefix_space or not is_split_into_words, (
											    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
											    "to use it with pretokenized inputs."
											)

											return super()._encode_plus(*__lowercase      ,				**__lowercase	)





							def 						UpperCamelCase_					(   self		:		Dict      ,				__lowercase		:		str      ,				__lowercase		:		Optional[str] = None	):

											'''simple docstring'''
											__a       =		self._tokenizer.model.save(__lowercase      ,				name=__lowercase	)
											return tuple(__lowercase	)





							def 						UpperCamelCase_					(   self		:		Optional[int]      ,				__lowercase		:		Dict      ,				__lowercase		:		Optional[int]=None	):

											'''simple docstring'''
											__a       =		[self.bos_token_id] + token_ids_a + [self.eos_token_id]
											if token_ids_a is None:
															return output

											return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







							def 						UpperCamelCase_					(   self		:		str      ,				__lowercase		:		List[int]      ,				__lowercase		:		Optional[List[int]] = None	):

											'''simple docstring'''
											__a       =		[self.sep_token_id]
											__a       =		[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 + sep + token_ids_a + sep	) * [0]





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






class    SCREAMING_SNAKE_CASE			(							unittest.TestCase					):





							def 						UpperCamelCase_					(   self		:		Union[str, Any]	):

											'''simple docstring'''
											# If no defaults are changed, `to_kwargs` returns an empty dict.
											__a       =		_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args	)
											assert isinstance(converted_args["""model_name_or_path"""]      ,				__lowercase	)
											assert isinstance(converted_args["""do_train"""]      ,				__lowercase	)
											assert isinstance(converted_args["""epochs"""]      ,				__lowercase	)
											assert isinstance(converted_args["""learning_rate"""]      ,				__lowercase	)
											assert isinstance(converted_args["""max_steps"""]      ,				__lowercase	)

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