





"""simple docstring"""





import os
from typing import List, Optional, Union

from ...image_processing_utils import BatchFeature
from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
from ..auto import AutoTokenizer






class    _lowerCAmelCase  (	a			):
       """simple docstring"""




       __magic_name__	:Any						    =   ["""image_processor""", """tokenizer"""]
       __magic_name__	:Optional[Any]						    =   """BlipImageProcessor"""
       __magic_name__	:Optional[int]						    =   """AutoTokenizer"""






       def __init__(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase       ,					__UpperCAmelCase ):



         '''simple docstring'''

         super().__init__(__UpperCAmelCase       ,					__UpperCAmelCase )

         # add QFormer tokenizer
         lowerCAmelCase__     :Union[str, Any]											=				qformer_tokenizer






       def __call__(       self       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = True       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = 0       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = True       ,					__UpperCAmelCase = None       ,					**__UpperCAmelCase       ,					):



         '''simple docstring'''

         if images is None and text is None:
           raise ValueError('You have to specify at least images or text.' )

         lowerCAmelCase__     :str											=				BatchFeature()

         if text is not None:
           lowerCAmelCase__     :Dict											=				self.tokenizer(
               text=__UpperCAmelCase       ,					add_special_tokens=__UpperCAmelCase       ,					padding=__UpperCAmelCase       ,					truncation=__UpperCAmelCase       ,					max_length=__UpperCAmelCase       ,					stride=__UpperCAmelCase       ,					pad_to_multiple_of=__UpperCAmelCase       ,					return_attention_mask=__UpperCAmelCase       ,					return_overflowing_tokens=__UpperCAmelCase       ,					return_special_tokens_mask=__UpperCAmelCase       ,					return_offsets_mapping=__UpperCAmelCase       ,					return_token_type_ids=__UpperCAmelCase       ,					return_length=__UpperCAmelCase       ,					verbose=__UpperCAmelCase       ,					return_tensors=__UpperCAmelCase       ,					**__UpperCAmelCase       ,					)
           encoding.update(__UpperCAmelCase )
           lowerCAmelCase__     :Any											=				self.qformer_tokenizer(
               text=__UpperCAmelCase       ,					add_special_tokens=__UpperCAmelCase       ,					padding=__UpperCAmelCase       ,					truncation=__UpperCAmelCase       ,					max_length=__UpperCAmelCase       ,					stride=__UpperCAmelCase       ,					pad_to_multiple_of=__UpperCAmelCase       ,					return_attention_mask=__UpperCAmelCase       ,					return_overflowing_tokens=__UpperCAmelCase       ,					return_special_tokens_mask=__UpperCAmelCase       ,					return_offsets_mapping=__UpperCAmelCase       ,					return_token_type_ids=__UpperCAmelCase       ,					return_length=__UpperCAmelCase       ,					verbose=__UpperCAmelCase       ,					return_tensors=__UpperCAmelCase       ,					**__UpperCAmelCase       ,					)
           lowerCAmelCase__     :Optional[int]											=				qformer_text_encoding.pop('input_ids' )
           lowerCAmelCase__     :Optional[Any]											=				qformer_text_encoding.pop('attention_mask' )

         if images is not None:
           lowerCAmelCase__     :Optional[int]											=				self.image_processor(__UpperCAmelCase       ,					return_tensors=__UpperCAmelCase )
           encoding.update(__UpperCAmelCase )

         return encoding






       def 	snake_case		(       self       ,					*__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         return self.tokenizer.batch_decode(*__UpperCAmelCase       ,					**__UpperCAmelCase )






       def 	snake_case		(       self       ,					*__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         return self.tokenizer.decode(*__UpperCAmelCase       ,					**__UpperCAmelCase )






       @property
       # Copied from transformers.models.blip.processing_blip.BlipProcessor.model_input_names
       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Any											=				self.tokenizer.model_input_names
         lowerCAmelCase__     :Any											=				self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         if os.path.isfile(__UpperCAmelCase ):
           raise ValueError(F"Provided path ({save_directory}) should be a directory, not a file" )
         os.makedirs(__UpperCAmelCase       ,					exist_ok=__UpperCAmelCase )
         lowerCAmelCase__     :str											=				os.path.join(__UpperCAmelCase       ,					'qformer_tokenizer' )
         self.qformer_tokenizer.save_pretrained(__UpperCAmelCase )
         return super().save_pretrained(__UpperCAmelCase       ,					**__UpperCAmelCase )






       @classmethod
       def 	snake_case		(       cls       ,					__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Dict											=				AutoTokenizer.from_pretrained(__UpperCAmelCase       ,					subfolder='qformer_tokenizer' )
         lowerCAmelCase__     :List[str]											=				cls._get_arguments_from_pretrained(__UpperCAmelCase       ,					**__UpperCAmelCase )
         args.append(__UpperCAmelCase )
         return cls(*__UpperCAmelCase )








def 	UpperCamelCase	(							snake_case__  : float						,snake_case__  : int	):




     '''simple docstring'''






     if digit_amount > 0:
          return round(number - int(snake_case__	)						,snake_case__	)
     return number - int(snake_case__	)


if __name__ == "__main__":
     print(decimal_isolate(1.5_3, 0))
     print(decimal_isolate(3_5.3_4_5, 1))
     print(decimal_isolate(3_5.3_4_5, 2))
     print(decimal_isolate(3_5.3_4_5, 3))
     print(decimal_isolate(-1_4.7_8_9, 3))
     print(decimal_isolate(0, 2))
     print(decimal_isolate(-1_4.1_2_3, 1))
     print(decimal_isolate(-1_4.1_2_3, 2))
     print(decimal_isolate(-1_4.1_2_3, 3))


