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

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
 from .tokenization_deberta_va import DebertaVaTokenizer
else:
 lowerCamelCase_				:							Optional[int]       =    None

lowerCamelCase_				:							List[str]       =    logging.get_logger(__name__)

lowerCamelCase_				:							List[Any]       =    {'''vocab_file''': '''spm.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase_				:							Any       =    {
    '''vocab_file''': {
        '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model''',
        '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model''',
        '''microsoft/deberta-v2-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model'''
        ),
        '''microsoft/deberta-v2-xxlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model'''
        ),
    }
}

lowerCamelCase_				:							Dict       =    {
    '''microsoft/deberta-v2-xlarge''': 512,
    '''microsoft/deberta-v2-xxlarge''': 512,
    '''microsoft/deberta-v2-xlarge-mnli''': 512,
    '''microsoft/deberta-v2-xxlarge-mnli''': 512,
}

lowerCamelCase_				:							int       =    {
    '''microsoft/deberta-v2-xlarge''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xxlarge''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xlarge-mnli''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xxlarge-mnli''': {'''do_lower_case''': False},
}







class  _lowerCamelCase			(UpperCamelCase__					):
     lowercase__				  =			VOCAB_FILES_NAMES
     lowercase__				  =			PRETRAINED_VOCAB_FILES_MAP
     lowercase__				  =			PRETRAINED_INIT_CONFIGURATION
     lowercase__				  =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowercase__				  =			DebertaVaTokenizer

     def __init__(  self							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=False							,       SCREAMING_SNAKE_CASE_=False							,       SCREAMING_SNAKE_CASE_="[CLS]"							,       SCREAMING_SNAKE_CASE_="[SEP]"							,       SCREAMING_SNAKE_CASE_="[UNK]"							,       SCREAMING_SNAKE_CASE_="[SEP]"							,       SCREAMING_SNAKE_CASE_="[PAD]"							,       SCREAMING_SNAKE_CASE_="[CLS]"							,       SCREAMING_SNAKE_CASE_="[MASK]"							,       **SCREAMING_SNAKE_CASE_							,       ):
            super().__init__(
                SCREAMING_SNAKE_CASE_							,       tokenizer_file=SCREAMING_SNAKE_CASE_							,       do_lower_case=SCREAMING_SNAKE_CASE_							,       bos_token=SCREAMING_SNAKE_CASE_							,       eos_token=SCREAMING_SNAKE_CASE_							,       unk_token=SCREAMING_SNAKE_CASE_							,       sep_token=SCREAMING_SNAKE_CASE_							,       pad_token=SCREAMING_SNAKE_CASE_							,       cls_token=SCREAMING_SNAKE_CASE_							,       mask_token=SCREAMING_SNAKE_CASE_							,       split_by_punct=SCREAMING_SNAKE_CASE_							,       **SCREAMING_SNAKE_CASE_							,       )

            __snake_case						       =   do_lower_case
            __snake_case						       =   split_by_punct
            __snake_case						       =   vocab_file
            __snake_case						       =   False if not self.vocab_file else True

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=None    ):

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

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=False    ):

            if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=SCREAMING_SNAKE_CASE_							,       token_ids_a=SCREAMING_SNAKE_CASE_							,       already_has_special_tokens=SCREAMING_SNAKE_CASE_    )

            if token_ids_a is not None:
                   return [1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1]
            return [1] + ([0] * len(SCREAMING_SNAKE_CASE_    )) + [1]

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=None    ):
            __snake_case						       =   [self.sep_token_id]
            __snake_case						       =   [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							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None    ):
            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(SCREAMING_SNAKE_CASE_    ):
                   logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
                   return
            __snake_case						       =   os.path.join(
                SCREAMING_SNAKE_CASE_							,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )

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

            return (out_vocab_file,)





'''simple docstring'''



import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
	from PIL import Image






class        UpperCAmelCase__						(		unittest.TestCase				,							UpperCamelCase__			):



					def 							UpperCAmelCase_			(     self  )  ->      Optional[int]:
						__lowerCAmelCase       				=	load_tool("image-question-answering"  )
						self.tool.setup()
						__lowerCAmelCase       				=	load_tool("image-question-answering"      ,					remote=UpperCamelCase  )



					def 							UpperCAmelCase_			(     self  )  ->      Optional[int]:
						__lowerCAmelCase       				=	Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"  )  ) / "000000039769.png"  )
						__lowerCAmelCase       				=	self.tool(UpperCamelCase      ,					"How many cats are sleeping on the couch?"  )
						self.assertEqual(UpperCamelCase      ,					"2"  )



					def 							UpperCAmelCase_			(     self  )  ->      Dict:
						__lowerCAmelCase       				=	Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"  )  ) / "000000039769.png"  )
						__lowerCAmelCase       				=	self.remote_tool(UpperCamelCase      ,					"How many cats are sleeping on the couch?"  )
						self.assertEqual(UpperCamelCase      ,					"2"  )



					def 							UpperCAmelCase_			(     self  )  ->      Optional[Any]:
						__lowerCAmelCase       				=	Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"  )  ) / "000000039769.png"  )
						__lowerCAmelCase       				=	self.tool(image=UpperCamelCase      ,					question="How many cats are sleeping on the couch?"  )
						self.assertEqual(UpperCamelCase      ,					"2"  )



					def 							UpperCAmelCase_			(     self  )  ->      Dict:
						__lowerCAmelCase       				=	Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"  )  ) / "000000039769.png"  )
						__lowerCAmelCase       				=	self.remote_tool(image=UpperCamelCase      ,					question="How many cats are sleeping on the couch?"  )
						self.assertEqual(UpperCamelCase      ,					"2"  )