


'''simple docstring'''


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_big_bird import BigBirdTokenizer
else:
						lowerCamelCase__    	=     None

lowerCamelCase__    	=     logging.get_logger(__name__)
lowerCamelCase__    	=     {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__    	=     {
    'vocab_file': {
        'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model',
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'
        ),
    },
    'tokenizer_file': {
        'google/bigbird-roberta-base': (
            'https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json'
        ),
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json'
        ),
    },
}

lowerCamelCase__    	=     {
    'google/bigbird-roberta-base': 4_096,
    'google/bigbird-roberta-large': 4_096,
    'google/bigbird-base-trivia-itc': 4_096,
}


lowerCamelCase__    	=     '▁'






class 	lowerCAmelCase__			(			UpperCAmelCase__	):
			lowerCAmelCase :	Any          =     VOCAB_FILES_NAMES
			lowerCAmelCase :	Optional[Any]          =     PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase :	Any          =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase :	List[str]          =     BigBirdTokenizer
			lowerCAmelCase :	str          =     ["input_ids", "attention_mask"]
			lowerCAmelCase :	List[int]          =     []




			def __init__(		self  :     Tuple	,  lowerCamelCase__  :     Union[str, Any]=None	,  lowerCamelCase__  :     Union[str, Any]=None	,  lowerCamelCase__  :     Optional[Any]="<unk>"	,  lowerCamelCase__  :     int="<s>"	,  lowerCamelCase__  :     str="</s>"	,  lowerCamelCase__  :     Optional[Any]="<pad>"	,  lowerCamelCase__  :     Tuple="[SEP]"	,  lowerCamelCase__  :     Union[str, Any]="[MASK]"	,  lowerCamelCase__  :     str="[CLS]"	,  **lowerCamelCase__  :     Optional[int]	,  )   ->Dict:



					'''simple docstring'''







					_UpperCAmelCase		:       Dict								=      AddedToken(lowerCamelCase__	,  lstrip=lowerCamelCase__	,  rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__	,  lowerCamelCase__ ) else bos_token
					_UpperCAmelCase		:       Optional[Any]								=      AddedToken(lowerCamelCase__	,  lstrip=lowerCamelCase__	,  rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__	,  lowerCamelCase__ ) else eos_token
					_UpperCAmelCase		:       Any								=      AddedToken(lowerCamelCase__	,  lstrip=lowerCamelCase__	,  rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__	,  lowerCamelCase__ ) else unk_token
					_UpperCAmelCase		:       List[str]								=      AddedToken(lowerCamelCase__	,  lstrip=lowerCamelCase__	,  rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__	,  lowerCamelCase__ ) else pad_token
					_UpperCAmelCase		:       Tuple								=      AddedToken(lowerCamelCase__	,  lstrip=lowerCamelCase__	,  rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__	,  lowerCamelCase__ ) else cls_token
					_UpperCAmelCase		:       List[str]								=      AddedToken(lowerCamelCase__	,  lstrip=lowerCamelCase__	,  rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__	,  lowerCamelCase__ ) else sep_token

					# Mask token behave like a normal word, i.e. include the space before it
					_UpperCAmelCase		:       Any								=      AddedToken(lowerCamelCase__	,  lstrip=lowerCamelCase__	,  rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__	,  lowerCamelCase__ ) else mask_token

					super().__init__(
					    lowerCamelCase__	,  tokenizer_file=lowerCamelCase__	,  bos_token=lowerCamelCase__	,  eos_token=lowerCamelCase__	,  unk_token=lowerCamelCase__	,  sep_token=lowerCamelCase__	,  pad_token=lowerCamelCase__	,  cls_token=lowerCamelCase__	,  mask_token=lowerCamelCase__	,  **lowerCamelCase__	,  )

					_UpperCAmelCase		:       Optional[int]								=      vocab_file
					_UpperCAmelCase		:       Optional[Any]								=      False if not self.vocab_file else True




			def 							lowerCAmelCase__    (		self  :     str	,  lowerCamelCase__  :     List[int]	,  lowerCamelCase__  :     Optional[List[int]] = None )   ->List[int]:



					'''simple docstring'''







					_UpperCAmelCase		:       List[Any]								=      [self.sep_token_id]
					_UpperCAmelCase		:       Optional[Any]								=      [self.cls_token_id]
					if token_ids_a is None:
							return cls + token_ids_a + sep
					return cls + token_ids_a + sep + token_ids_a + sep




			def 							lowerCAmelCase__    (		self  :     Tuple	,  lowerCamelCase__  :     List[int]	,  lowerCamelCase__  :     Optional[List[int]] = None	,  lowerCamelCase__  :     bool = False )   ->List[int]:



					'''simple docstring'''







					if already_has_special_tokens:
							if token_ids_a is not None:
									raise ValueError(
									    "You should not supply a second sequence if the provided sequence of "
									    "ids is already formatted with special tokens for the model." )
							return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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




			def 							lowerCAmelCase__    (		self  :     List[str]	,  lowerCamelCase__  :     List[int]	,  lowerCamelCase__  :     Optional[List[int]] = None )   ->List[int]:



					'''simple docstring'''







					_UpperCAmelCase		:       List[Any]								=      [self.sep_token_id]
					_UpperCAmelCase		:       List[str]								=      [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 							lowerCAmelCase__    (		self  :     Optional[Any]	,  lowerCamelCase__  :     str	,  lowerCamelCase__  :     Optional[str] = None )   ->Tuple[str]:



					'''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(lowerCamelCase__ ):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory""" )
							return
					_UpperCAmelCase		:       str								=      os.path.join(
					    lowerCamelCase__	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )

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

					return (out_vocab_file,)







'''simple docstring'''


# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCamelCase__    	=     abspath(join(dirname(dirname(dirname(__file__))), 'src'))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)






def  __lowerCAmelCase (__lowerCAmelCase   ):
		from transformers.testing_utils import pytest_addoption_shared

		pytest_addoption_shared(__lowerCAmelCase   )






def  __lowerCAmelCase (__lowerCAmelCase   ):
		from transformers.testing_utils import pytest_terminal_summary_main

		_UpperCAmelCase		:       Optional[int]								=      terminalreporter.config.getoption("--make-reports"   )
		if make_reports:
				pytest_terminal_summary_main(__lowerCAmelCase      , id=__lowerCAmelCase   )



