






"""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					: Dict	,	*lowerCAmelCase_					: str	,	**lowerCAmelCase_					: Tuple						)						->			str:
				requires_backends(self	,	["vision"]						)
				super().__init__(*lowerCAmelCase_	,	**lowerCAmelCase_						)





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





	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[Any]	,	lowerCAmelCase_					: Tuple						)						->			Any:
				return self.model.generate(**lowerCAmelCase_						)





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











"""simple docstring"""
def 				snake_case      (   A__	,A__	,A__	,A__	,A__						):
			if index == number_of_items:
						return 0
			UpperCAmelCase_     : str			     =					0
			UpperCAmelCase_     : Dict			     =					0
			UpperCAmelCase_     : Tuple			     =					knapsack(A__	,A__	,A__	,A__	,index + 1						)
			if weights[index] <= max_weight:
						UpperCAmelCase_     : Union[str, Any]			     =					values[index] + knapsack(
						    A__	,A__	,A__	,max_weight - weights[index]	,index + 1						)
			return max(A__	,A__						)


if __name__ == "__main__":
			import doctest

			doctest.testmod()



