


'''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  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										="Salesforce/blip-image-captioning-base"
       UpperCAmelCase										=(
           "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."
       )
       UpperCAmelCase										="image_captioner"
       UpperCAmelCase										=AutoModelForVisionaSeq

       UpperCAmelCase										=["image"]
       UpperCAmelCase										=["text"]






       def __init__(      self  ,							*snake_case  ,							**snake_case)						->  Dict:




          '''simple docstring'''
          requires_backends(self  ,							['vision'])
          super().__init__(*snake_case  ,							**snake_case)






       def       lowerCAmelCase		(      self  ,							snake_case)						->  List[Any]:




          '''simple docstring'''
          return self.pre_processor(images=snake_case  ,							return_tensors='pt')






       def       lowerCAmelCase		(      self  ,							snake_case)						->  Tuple:




          '''simple docstring'''
          return self.model.generate(**snake_case)






       def       lowerCAmelCase		(      self  ,							snake_case)						->  List[Any]:




          '''simple docstring'''
          return self.pre_processor.batch_decode(snake_case  ,							skip_special_tokens=snake_case)[0].strip()





'''simple docstring'''






def lowerCamelCase__      (						__lowerCamelCase	:							int	,   __lowerCamelCase	:							list[int]	,   __lowerCamelCase	:							int							):







   '''simple docstring'''




   def count_of_possible_combinations(__lowerCamelCase	:							int							) -> int:
      if target < 0:
         return 0
      if target == 0:
         return 1
      return sum(count_of_possible_combinations(target - item							) for item in array							)

   return count_of_possible_combinations(__lowerCamelCase							)





def lowerCamelCase__      (						__lowerCamelCase	:							int	,   __lowerCamelCase	:							list[int]	,   __lowerCamelCase	:							int							):







   '''simple docstring'''




   def count_of_possible_combinations_with_dp_array(
       __lowerCamelCase	:							int	,   __lowerCamelCase	:							list[int]							) -> int:
      if target < 0:
         return 0
      if target == 0:
         return 1
      if dp_array[target] != -1:
         return dp_array[target]
      _UpperCAmelCase       :       str							   =sum(
          count_of_possible_combinations_with_dp_array(target - item	,   __lowerCamelCase							)
          for item in array							)
      _UpperCAmelCase       :       Optional[Any]							   =answer
      return answer

   _UpperCAmelCase       :       int							   =[-1] * (target + 1)
   return count_of_possible_combinations_with_dp_array(__lowerCamelCase	,   __lowerCamelCase							)





def lowerCamelCase__      (						__lowerCamelCase	:							int	,   __lowerCamelCase	:							list[int]	,   __lowerCamelCase	:							int							):







   '''simple docstring'''




   _UpperCAmelCase       :       Tuple							   =[0] * (target + 1)
   _UpperCAmelCase       :       Dict							   =1

   for i in range(1	,   target + 1							):
      for j in range(__lowerCamelCase							):
         if i - array[j] >= 0:
            dp_array[i] += dp_array[i - array[j]]

   return dp_array[target]


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 lowercase							=3
 lowercase							=5
 lowercase							=[1, 2, 5]
 print(combination_sum_iv(n, array, target))

