



'''simple docstring'''





from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType


class 				snake_case (_UpperCAmelCase   ):
       lowerCAmelCase__  :Union[str, Any]						   =					['''image_processor''', '''tokenizer''']
       lowerCAmelCase__  :str						   =					'''BridgeTowerImageProcessor'''
       lowerCAmelCase__  :Dict						   =					('''RobertaTokenizer''', '''RobertaTokenizerFast''')



       def __init__(				self     ,UpperCAmelCase_     ,UpperCAmelCase_      )  ->							Union[str, Any]:
           super().__init__(A_     ,A_      )



       def __call__(				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = True     ,UpperCAmelCase_ = False     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = 0     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = None     ,UpperCAmelCase_ = False     ,UpperCAmelCase_ = False     ,UpperCAmelCase_ = False     ,UpperCAmelCase_ = False     ,UpperCAmelCase_ = True     ,UpperCAmelCase_ = None     ,**UpperCAmelCase_     ,)  ->							BatchEncoding:
           lowercase__		       =						self.tokenizer(
               text=A_     ,add_special_tokens=A_     ,padding=A_     ,truncation=A_     ,max_length=A_     ,stride=A_     ,pad_to_multiple_of=A_     ,return_token_type_ids=A_     ,return_attention_mask=A_     ,return_overflowing_tokens=A_     ,return_special_tokens_mask=A_     ,return_offsets_mapping=A_     ,return_length=A_     ,verbose=A_     ,return_tensors=A_     ,**A_     ,)
           # add pixel_values + pixel_mask
           lowercase__		       =						self.image_processor(
               A_     ,return_tensors=A_     ,do_normalize=A_     ,do_center_crop=A_     ,**A_      )
           encoding.update(A_      )

           return encoding



       def 							_a      (				self     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							int:
           return self.tokenizer.batch_decode(*A_     ,**A_      )



       def 							_a      (				self     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							Any:
           return self.tokenizer.decode(*A_     ,**A_      )







       @property
       def 							_a      (				self      )  ->							Dict:
           lowercase__		       =						self.tokenizer.model_input_names
           lowercase__		       =						self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names      )      )









'''simple docstring'''





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


class 				snake_case (unittest.TestCase		,      UpperCamelCase   ):



       def 							_a      (				self      )  ->							List[str]:
           lowercase__		       =						load_tool("text-classification"      )
           self.tool.setup()
           lowercase__		       =						load_tool("text-classification"     ,remote=UpperCAmelCase_      )



       def 							_a      (				self      )  ->							Any:
           lowercase__		       =						self.tool("That's quite cool"     ,["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )



       def 							_a      (				self      )  ->							Optional[int]:
           lowercase__		       =						self.remote_tool("That's quite cool"     ,["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )



       def 							_a      (				self      )  ->							List[Any]:
           lowercase__		       =						self.tool(text="That's quite cool"     ,labels=["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )







       def 							_a      (				self      )  ->							List[Any]:
           lowercase__		       =						self.remote_tool(text="That's quite cool"     ,labels=["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )




