




'''simple docstring'''



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

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


if is_sentencepiece_available():
     from .tokenization_xglm import XGLMTokenizer
else:
     UpperCAmelCase_				:     int     			=						None


UpperCAmelCase_				:     Dict     			=						logging.get_logger(__name__)

UpperCAmelCase_				:     Tuple     			=						{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase_				:     Optional[int]     			=						{
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json''',
    },
}

UpperCAmelCase_				:     List[str]     			=						{
    '''facebook/xglm-564M''': 2_0_4_8,
}





class 			lowerCAmelCase      (       _snake_case):
       __lowercase     :					Any       				=	VOCAB_FILES_NAMES
       __lowercase     :					Any       				=	PRETRAINED_VOCAB_FILES_MAP
       __lowercase     :					List[str]       				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __lowercase     :					Optional[int]       				=	["input_ids", "attention_mask"]
       __lowercase     :					List[str]       				=	XGLMTokenizer


       def __init__(      self			,     __SCREAMING_SNAKE_CASE=None			,     __SCREAMING_SNAKE_CASE=None			,     __SCREAMING_SNAKE_CASE="<s>"			,     __SCREAMING_SNAKE_CASE="</s>"			,     __SCREAMING_SNAKE_CASE="</s>"			,     __SCREAMING_SNAKE_CASE="<s>"			,     __SCREAMING_SNAKE_CASE="<unk>"			,     __SCREAMING_SNAKE_CASE="<pad>"			,     **__SCREAMING_SNAKE_CASE			,     )					->     List[str]:



            '''simple docstring'''




            __snake_case			    =     7
            __snake_case			    =     [F'''<madeupword{i}>''' for i in range(self.num_madeup_words     )]

            __snake_case			    =     kwargs.get('''additional_special_tokens'''			,     []     )
            kwargs["additional_special_tokens"] += [
                word for word in madeup_words if word not in kwargs["additional_special_tokens"]
            ]

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

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


       def 					lowerCAmelCase					(      self			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE = None     )					->     List[int]:



            '''simple docstring'''




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


       def 					lowerCAmelCase					(      self			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE = None     )					->     List[int]:



            '''simple docstring'''




            __snake_case			    =     [self.sep_token_id]

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




       def 					lowerCAmelCase					(      self			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE = 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(_lowercase     ):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''     )
                 return
            __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 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 							a_  (		unittest.TestCase					, _snake_case				):

						def 	__a       (    self	:Union[str, Any])		->					Optional[Any]:
												UpperCAmelCase_     							=     load_tool('''image-question-answering''')
												self.tool.setup()
												UpperCAmelCase_     							=     load_tool('''image-question-answering'''   ,						remote=_lowercase)

						def 	__a       (    self	:int)		->					Union[str, Any]:
												UpperCAmelCase_     							=     Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO''')) / '''000000039769.png''')
												UpperCAmelCase_     							=     self.tool(_lowercase   ,						'''How many cats are sleeping on the couch?''')
												self.assertEqual(_lowercase   ,						'''2''')

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

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




						def 	__a       (    self	:Optional[Any])		->					List[str]:
												UpperCAmelCase_     							=     Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO''')) / '''000000039769.png''')
												UpperCAmelCase_     							=     self.remote_tool(image=_lowercase   ,						question='''How many cats are sleeping on the couch?''')
												self.assertEqual(_lowercase   ,						'''2''')





