


'''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 						_snake_case    (   a__		):
					lowerCAmelCase					:Tuple            =    '''Salesforce/blip-image-captioning-base'''
					lowerCAmelCase					:List[Any]            =    (
					    '''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.'''
					)
					lowerCAmelCase					:Any            =    '''image_captioner'''
					lowerCAmelCase					:Optional[Any]            =    AutoModelForVisionaSeq

					lowerCAmelCase					:Any            =    ['''image''']
					lowerCAmelCase					:str            =    ['''text''']




					def __init__(					self							,							*_lowerCamelCase							,							**_lowerCamelCase):
								requires_backends(self							,							["""vision"""])
								super().__init__(*__UpperCAmelCase							,							**__UpperCAmelCase)




					def  snake_case__  (					self							,							_lowerCamelCase):
								return self.pre_processor(images=__UpperCAmelCase							,							return_tensors="""pt""")




					def  snake_case__  (					self							,							_lowerCamelCase):
								return self.model.generate(**__UpperCAmelCase)




					def  snake_case__  (					self							,							_lowerCamelCase):
								return self.pre_processor.batch_decode(__UpperCAmelCase							,							skip_special_tokens=__UpperCAmelCase)[0].strip()







import math
def 						_a    (      a :int )							->			list:
 a		  =      [True] * n
 a		  =      False
 a		  =      False
 a		  =      True

 for i in range(3	,							int(n**0.5 + 1 )	,							2 ):
  a		  =      i * 2
  while index < n:
   a		  =      False
   a		  =      index + i

 a		  =      [2]

 for i in range(3	,							a	,							2 ):
  if is_prime[i]:
   primes.append(a )

 return primes
def 						_a    (      a :int = 999_966_663_333 )							->			int:
 a		  =      math.floor(math.sqrt(a ) ) + 100
 a		  =      prime_sieve(a )

 a		  =      0
 a		  =      0
 a		  =      primes[prime_index]

 while (last_prime**2) <= limit:
  a		  =      primes[prime_index + 1]

  a		  =      last_prime**2
  a		  =      next_prime**2

  # Get numbers divisible by lps(current)
  a		  =      lower_bound + last_prime
  while upper_bound > current <= limit:
   matches_sum += current
   current += last_prime

  # Reset the upper_bound
  while (upper_bound - next_prime) > limit:
   upper_bound -= next_prime

  # Add the numbers divisible by ups(current)
  a		  =      upper_bound - next_prime
  while current > lower_bound:
   matches_sum += current
   current -= next_prime

  # Remove the numbers divisible by both ups and lps
  a		  =      0
  while upper_bound > current <= limit:
   if current <= lower_bound:
    # Increment the current number
    current += last_prime * next_prime
    continue

   if current > limit:
    break

   # Remove twice since it was added by both ups and lps
   matches_sum -= current * 2

   # Increment the current number
   current += last_prime * next_prime

  # Setup for next pair
  a		  =      next_prime
  prime_index += 1

 return matches_sum


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


