import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
   from .tokenization_xlnet import XLNetTokenizer
else:
   __lowerCamelCase			: Optional[int]							   =		None


__lowerCamelCase			: Optional[Any]							   =		logging.get_logger(__name__)

__lowerCamelCase			: str							   =		{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase			: Tuple							   =		{
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json''',
    },
}

__lowerCamelCase			: str							   =		{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

__lowerCamelCase			: Any							   =		'''▁'''

# Segments (not really needed)
__lowerCamelCase			: List[str]							   =		0
__lowerCamelCase			: Union[str, Any]							   =		1
__lowerCamelCase			: Optional[int]							   =		2
__lowerCamelCase			: List[str]							   =		3
__lowerCamelCase			: List[Any]							   =		4







class __snake_case				(						lowerCamelCase_		):
   lowerCAmelCase_														=							VOCAB_FILES_NAMES
   lowerCAmelCase_														=							PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase_														=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase_														=							"left"
   lowerCAmelCase_														=							XLNetTokenizer




   def __init__(    self			:				Optional[int]       ,	_lowercase			:				Any=None       ,	_lowercase			:				Optional[Any]=None       ,	_lowercase			:				Dict=False       ,	_lowercase			:				List[Any]=True       ,	_lowercase			:				str=False       ,	_lowercase			:				Union[str, Any]="<s>"       ,	_lowercase			:				List[Any]="</s>"       ,	_lowercase			:				Tuple="<unk>"       ,	_lowercase			:				List[str]="<sep>"       ,	_lowercase			:				int="<pad>"       ,	_lowercase			:				int="<cls>"       ,	_lowercase			:				Any="<mask>"       ,	_lowercase			:				Union[str, Any]=["<eop>", "<eod>"]       ,	**_lowercase			:				str       ,	):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else mask_token

     super().__init__(
         vocab_file=_lowercase       ,	tokenizer_file=_lowercase       ,	do_lower_case=_lowercase       ,	remove_space=_lowercase       ,	keep_accents=_lowercase       ,	bos_token=_lowercase       ,	eos_token=_lowercase       ,	unk_token=_lowercase       ,	sep_token=_lowercase       ,	pad_token=_lowercase       ,	cls_token=_lowercase       ,	mask_token=_lowercase       ,	additional_special_tokens=_lowercase       ,	**_lowercase       ,	)

     SCREAMING_SNAKE_CASE__										=      3
     SCREAMING_SNAKE_CASE__										=      do_lower_case
     SCREAMING_SNAKE_CASE__										=      remove_space
     SCREAMING_SNAKE_CASE__										=      keep_accents
     SCREAMING_SNAKE_CASE__										=      vocab_file
     SCREAMING_SNAKE_CASE__										=      False if not self.vocab_file else True




   def 	__a						(    self			:				Optional[Any]       ,	_lowercase			:				List[int]       ,	_lowercase			:				Optional[List[int]] = None      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      [self.sep_token_id]
     SCREAMING_SNAKE_CASE__										=      [self.cls_token_id]
     if token_ids_a is None:
       return token_ids_a + sep + cls
     return token_ids_a + sep + token_ids_a + sep + cls




   def 	__a						(    self			:				Dict       ,	_lowercase			:				List[int]       ,	_lowercase			:				Optional[List[int]] = None      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      [self.sep_token_id]
     SCREAMING_SNAKE_CASE__										=      [2]

     if token_ids_a is None:
       return len(token_ids_a + sep      ) * [0] + cls_segment_id
     return len(token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1] + cls_segment_id




   def 	__a						(    self			:				Dict       ,	_lowercase			:				str       ,	_lowercase			:				Optional[str] = None      ):



     """simple docstring"""






     if not self.can_save_slow_tokenizer:
       raise ValueError(
           """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
           """tokenizer."""      )

     if not os.path.isdir(_lowercase      ):
       logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
       return
     SCREAMING_SNAKE_CASE__										=      os.path.join(
         _lowercase       ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )

     if os.path.abspath(self.vocab_file      ) != os.path.abspath(_lowercase      ):
       copyfile(self.vocab_file       ,	_lowercase      )

     return (out_vocab_file,)

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 __snake_case				(						lowerCamelCase_		):
   lowerCAmelCase_														=							ComputeEnvironment.AMAZON_SAGEMAKER
   lowerCAmelCase_														=							True
   lowerCAmelCase_														=							"ml.p3.2xlarge"
   lowerCAmelCase_														=							"accelerate_sagemaker_execution_role"
   lowerCAmelCase_														=							"hf-sm"
   lowerCAmelCase_														=							"us-east-1"
   lowerCAmelCase_														=							1
   lowerCAmelCase_														=							"accelerate-sagemaker-1"
   lowerCAmelCase_														=							"1.6"
   lowerCAmelCase_														=							"4.4"
   lowerCAmelCase_														=							"train.py"
   lowerCAmelCase_														=							[
       "--model_name_or_path",
       "bert",
       "--do_train",
       "False",
       "--epochs",
       "3",
       "--learning_rate",
       "5e-5",
       "--max_steps",
       "50.5",
   ]
   lowerCAmelCase_														=							[
       "--model_name_or_path",
       "bert",
       "--do_train",
       "--do_test",
       "False",
       "--do_predict",
       "--epochs",
       "3",
       "--learning_rate",
       "5e-5",
       "--max_steps",
       "50.5",
   ]







class __snake_case				(						unittest.TestCase		):




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      _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      )
