



'''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       (_UpperCAmelCase			):
	__A			  =					'''Salesforce/blip-image-captioning-base'''
	__A			  =					(
	    '''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.'''
	)
	__A			  =					'''image_captioner'''
	__A			  =					AutoModelForVisionaSeq

	__A			  =					['''image''']
	__A			  =					['''text''']







	def __init__(    self ,				*_lowerCAmelCase ,				**_lowerCAmelCase						)    ->    Optional[int]:
							'''simple docstring'''






							requires_backends(self ,				["""vision"""]						)
							super().__init__(*_lowerCAmelCase ,				**_lowerCAmelCase						)







	def   _a   (    self ,				_lowerCAmelCase						)    ->    int:
							'''simple docstring'''






							return self.pre_processor(images=_lowerCAmelCase ,				return_tensors="""pt"""						)







	def   _a   (    self ,				_lowerCAmelCase						)    ->    str:
							'''simple docstring'''






							return self.model.generate(**_lowerCAmelCase						)







	def   _a   (    self ,				_lowerCAmelCase						)    ->    List[str]:
							'''simple docstring'''






							return self.pre_processor.batch_decode(_lowerCAmelCase ,				skip_special_tokens=_lowerCAmelCase						)[0].strip()







'''simple docstring'''


def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							[]
						lowercase        =							1

						while len(lowercase_						) < 1E6:
												constant.append(str(lowercase_						)						)
												i += 1

						lowercase        =							"""""".join(lowercase_						)

						return (
						    int(constant[0]						)
						    * int(constant[9]						)
						    * int(constant[99]						)
						    * int(constant[999]						)
						    * int(constant[9999]						)
						    * int(constant[9_9999]						)
						    * int(constant[99_9999]						)
						)


if __name__ == "__main__":
						print(solution())


