






"""simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
			from PIL import Image







class      UpperCamelCase_			(__A	):
	__magic_name__       =							'''Salesforce/blip-image-captioning-base'''
	__magic_name__       =							(
	    '''This is a tool that generates a description of an image. It takes an input named `image` which should be the '''
	    '''image to caption, and returns a text that contains the description in English.'''
	)
	__magic_name__       =							'''image_captioner'''
	__magic_name__       =							AutoModelForVisionaSeq

	__magic_name__       =							['''image''']
	__magic_name__       =							['''text''']





	def __init__( self   :					str      ,      *lowerCAmelCase_   :					List[str]      ,      **lowerCAmelCase_   :					Tuple		)		->     Optional[Any]:
				requires_backends(self      ,      ["vision"]		)
				super().__init__(*lowerCAmelCase_      ,      **lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[int]      ,      lowerCAmelCase_   :					"Image"		)		->     str:
				return self.pre_processor(images=lowerCAmelCase_      ,      return_tensors="pt"		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Union[str, Any]      ,      lowerCAmelCase_   :					Optional[int]		)		->     List[str]:
				return self.model.generate(**lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Union[str, Any]      ,      lowerCAmelCase_   :					int		)		->     str:
				return self.pre_processor.batch_decode(lowerCAmelCase_      ,      skip_special_tokens=lowerCAmelCase_		)[0].strip()










def      UpperCAmelCase_    (    _UpperCAmelCase							:Any  ,						_UpperCAmelCase							:Dict				)	->				Union[str, Any]:
     '''simple docstring'''


     A_          =       [1]
     for i in range(2  ,						_UpperCAmelCase				):
          factorials.append(factorials[-1] * i				)
     assert 0 <= k < factorials[-1] * n, "k out of bounds"

     A_          =       []
     A_          =       list(range(_UpperCAmelCase				)				)

     # Find permutation
     while factorials:
          A_          =       factorials.pop()
          A_   ,    A_          =       divmod(_UpperCAmelCase  ,						_UpperCAmelCase				)
          permutation.append(elements[number]				)
          elements.remove(elements[number]				)
     permutation.append(elements[0]				)

     return permutation


if __name__ == "__main__":
      import doctest

      doctest.testmod()



