


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_longformer import LongformerTokenizer


__lowerCamelCase   	=  logging.get_logger(__name__)

__lowerCamelCase   	=  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase   	=  {
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''allenai/longformer-base-4096''': (
            '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
    },
}

__lowerCamelCase   	=  {
    '''allenai/longformer-base-4096''': 4096,
    '''allenai/longformer-large-4096''': 4096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4096,
}


class 	a__						(    lowerCAmelCase_     ):
       lowerCamelCase__:  List[Any]				     =  VOCAB_FILES_NAMES
       lowerCamelCase__:  Any				     =  PRETRAINED_VOCAB_FILES_MAP
       lowerCamelCase__:  List[Any]				     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCamelCase__:  List[Any]				     =  ["""input_ids""", """attention_mask"""]
       lowerCamelCase__:  int				     =  LongformerTokenizer

       def __init__( self   :  Union[str, Any]   ,				lowerCamelCase_   :  str=None   ,				lowerCamelCase_   :  List[Any]=None   ,				lowerCamelCase_   :  Any=None   ,				lowerCamelCase_   :  Any="replace"   ,				lowerCamelCase_   :  str="<s>"   ,				lowerCamelCase_   :  Dict="</s>"   ,				lowerCamelCase_   :  Optional[int]="</s>"   ,				lowerCamelCase_   :  Optional[int]="<s>"   ,				lowerCamelCase_   :  Dict="<unk>"   ,				lowerCamelCase_   :  Any="<pad>"   ,				lowerCamelCase_   :  List[str]="<mask>"   ,				lowerCamelCase_   :  Dict=False   ,				lowerCamelCase_   :  Optional[int]=True   ,				**lowerCamelCase_   :  Optional[Any]   ,				):
            super().__init__(
                lowerCamelCase_   ,				lowerCamelCase_   ,				tokenizer_file=lowerCamelCase_   ,				errors=lowerCamelCase_   ,				bos_token=lowerCamelCase_   ,				eos_token=lowerCamelCase_   ,				sep_token=lowerCamelCase_   ,				cls_token=lowerCamelCase_   ,				unk_token=lowerCamelCase_   ,				pad_token=lowerCamelCase_   ,				mask_token=lowerCamelCase_   ,				add_prefix_space=lowerCamelCase_   ,				trim_offsets=lowerCamelCase_   ,				**lowerCamelCase_   ,				)

            a_     :  Optional[Any]				      =     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
            if pre_tok_state.get("""add_prefix_space"""   ,				lowerCamelCase_     ) != add_prefix_space:
                 a_     :  int				      =     getattr(lowerCamelCase_   ,				pre_tok_state.pop("""type"""     )     )
                 a_     :  str				      =     add_prefix_space
                 a_     :  str				      =     pre_tok_class(**lowerCamelCase_     )

            a_     :  Optional[Any]				      =     add_prefix_space

            a_     :  str				      =     """post_processor"""
            a_     :  str				      =     getattr(self.backend_tokenizer   ,				lowerCamelCase_   ,				lowerCamelCase_     )
            if tokenizer_component_instance:
                 a_     :  Any				      =     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_     :  Optional[Any]				      =     tuple(state["""sep"""]     )
                 if "cls" in state:
                      a_     :  str				      =     tuple(state["""cls"""]     )

                 a_     :  Optional[Any]				      =     False

                 if state.get("""add_prefix_space"""   ,				lowerCamelCase_     ) != add_prefix_space:
                      a_     :  List[Any]				      =     add_prefix_space
                      a_     :  Any				      =     True

                 if state.get("""trim_offsets"""   ,				lowerCamelCase_     ) != trim_offsets:
                      a_     :  int				      =     trim_offsets
                      a_     :  str				      =     True

                 if changes_to_apply:
                      a_     :  Any				      =     getattr(lowerCamelCase_   ,				state.pop("""type"""     )     )
                      a_     :  Union[str, Any]				      =     component_class(**lowerCamelCase_     )
                      setattr(self.backend_tokenizer   ,				lowerCamelCase_   ,				lowerCamelCase_     )

       @property
       def     UpperCAmelCase( self   :  Dict     ):
            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   :  Optional[int]   ,				lowerCamelCase_   :  int     ):
            a_     :  List[str]				      =     AddedToken(lowerCamelCase_   ,				lstrip=lowerCamelCase_   ,				rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_   ,				lowerCamelCase_     ) else value
            a_     :  Optional[int]				      =     value

       def     UpperCAmelCase( self   :  str   ,				*lowerCamelCase_   :  int   ,				**lowerCamelCase_   :  List[Any]     ):
            a_     :  Any				      =     kwargs.get("""is_split_into_words"""   ,				lowerCamelCase_     )
            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(*lowerCamelCase_   ,				**lowerCamelCase_     )

       def     UpperCAmelCase( self   :  Union[str, Any]   ,				*lowerCamelCase_   :  Dict   ,				**lowerCamelCase_   :  int     ):
            a_     :  List[str]				      =     kwargs.get("""is_split_into_words"""   ,				lowerCamelCase_     )

            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(*lowerCamelCase_   ,				**lowerCamelCase_     )

       def     UpperCAmelCase( self   :  int   ,				lowerCamelCase_   :  str   ,				lowerCamelCase_   :  Optional[str] = None     ):
            a_     :  List[Any]				      =     self._tokenizer.model.save(lowerCamelCase_   ,				name=lowerCamelCase_     )
            return tuple(lowerCamelCase_     )

       def     UpperCAmelCase( self   :  str   ,				lowerCamelCase_   :  Any   ,				lowerCamelCase_   :  Dict=None     ):
            a_     :  List[Any]				      =     [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   :  Optional[Any]   ,				lowerCamelCase_   :  List[int]   ,				lowerCamelCase_   :  Optional[List[int]] = None     ):
            a_     :  Any				      =     [self.sep_token_id]
            a_     :  Optional[int]				      =     [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 argparse
import logging
import sys
from unittest.mock import patch

import run_glue_with_pabee

from transformers.testing_utils import TestCasePlus


logging.basicConfig(level=logging.DEBUG)

__snake_case					:							List[Any]           =							logging.getLogger()




def 		A						(  ):




			"""simple docstring"""


			UpperCAmelCase__		:Any 		=    argparse.ArgumentParser()
			parser.add_argument('-f'							)
			UpperCAmelCase__		:List[Any] 		=    parser.parse_args()
			return args.f




class 	UpperCamelCase__       (  UpperCAmelCase__):

						'''simple docstring'''



						def    A__       (  self	)  ->str:
									UpperCAmelCase__		:Optional[int] 		=    logging.StreamHandler(sys.stdout	)
									logger.addHandler(A	)

									UpperCAmelCase__		:List[str] 		=    self.get_auto_remove_tmp_dir()
									UpperCAmelCase__		:List[str] 		=    F"""
            run_glue_with_pabee.py
            --model_type albert
            --model_name_or_path albert-base-v2
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --task_name mrpc
            --do_train
            --do_eval
            --per_gpu_train_batch_size=2
            --per_gpu_eval_batch_size=1
            --learning_rate=2e-5
            --max_steps=50
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            """.split()

									with patch.object(A  , 'argv'  , A	):
												UpperCAmelCase__		:Any 		=    run_glue_with_pabee.main()
												for value in result.values():
															self.assertGreaterEqual(A  , 0.75	)





