





"""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 ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


lowerCamelCase_          =	"Here is a text containing a lot of information: '''{text}'''.\n\nCan you answer this question about the text: '{question}'"






class       _SCREAMING_SNAKE_CASE(     A						):
       SCREAMING_SNAKE_CASE_     :   Optional[int]					=						'''google/flan-t5-base'''
       SCREAMING_SNAKE_CASE_     :   str					=						(
           '''This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the '''
           '''text where to find the answer, and `question`, which is the question, and returns the answer to the question.'''
       )
       SCREAMING_SNAKE_CASE_     :   Optional[int]					=						'''text_qa'''
       SCREAMING_SNAKE_CASE_     :   Optional[Any]					=						AutoTokenizer
       SCREAMING_SNAKE_CASE_     :   int					=						AutoModelForSeqaSeqLM

       SCREAMING_SNAKE_CASE_     :   int					=						['''text''', '''text''']
       SCREAMING_SNAKE_CASE_     :   Any					=						['''text''']




       def 					_UpperCamelCase  (		self	,SCREAMING_SNAKE_CASE__	,SCREAMING_SNAKE_CASE__							)    ->   Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE     :str	       =						QA_PROMPT.format(text=SCREAMING_SNAKE_CASE__	,question=SCREAMING_SNAKE_CASE__							)
             return self.pre_processor(SCREAMING_SNAKE_CASE__	,return_tensors='''pt'''							)




       def 					_UpperCamelCase  (		self	,SCREAMING_SNAKE_CASE__							)    ->   Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE     :str	       =						self.model.generate(**SCREAMING_SNAKE_CASE__							)

             __SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE     :str	       =						inputs['''input_ids'''].shape
             __SCREAMING_SNAKE_CASE     :Any	       =						output_ids.shape[0]

             return output_ids.reshape(SCREAMING_SNAKE_CASE__	,out_b // in_b	,*output_ids.shape[1:]							)[0][0]




       def 					_UpperCamelCase  (		self	,SCREAMING_SNAKE_CASE__							)    ->   Union[str, Any]:





             """simple docstring"""






             return self.pre_processor.decode(SCREAMING_SNAKE_CASE__	,skip_special_tokens=SCREAMING_SNAKE_CASE__	,clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE__							)






"""simple docstring"""
import math
from collections.abc import Generator



def   __lowerCamelCase     (							a_  :	int							)    ->   Generator[int, None, None]:
      __SCREAMING_SNAKE_CASE     :Generator	       =						(i for i in range(1				,     (max_n + 1)							))
      for i in (n for n in numbers if n > 1):
            for j in range(2				,     a_							):
                  if (i % j) == 0:
                        break
            else:
                  yield i



def   __lowerCamelCase     (							a_  :	int							)    ->   Generator[int, None, None]:
      __SCREAMING_SNAKE_CASE     :Generator	       =						(i for i in range(1				,     (max_n + 1)							))
      for i in (n for n in numbers if n > 1):
            # only need to check for factors up to sqrt(i)
            __SCREAMING_SNAKE_CASE     :Tuple	       =						int(math.sqrt(a_							)							) + 1
            for j in range(2				,     a_							):
                  if (i % j) == 0:
                        break
            else:
                  yield i



def   __lowerCamelCase     (							a_  :	int							)    ->   Generator[int, None, None]:
      __SCREAMING_SNAKE_CASE     :Generator	       =						(i for i in range(1				,     (max_n + 1)				,     2							))
      # It's useless to test even numbers as they will not be prime
      if max_n > 2:
            yield 2  # Because 2 will not be tested, it's necessary to yield it now
      for i in (n for n in numbers if n > 1):
            __SCREAMING_SNAKE_CASE     :int	       =						int(math.sqrt(a_							)							) + 1
            for j in range(3				,     a_				,     2							):
                  # As we removed the even numbers, we don't need them now
                  if (i % j) == 0:
                        break
            else:
                  yield i



def   __lowerCamelCase     (							)    ->   Union[str, Any]:
      from timeit import timeit

      __SCREAMING_SNAKE_CASE     :Optional[Any]	       =						'''from __main__ import slow_primes, primes, fast_primes'''
      print(timeit('''slow_primes(1_000_000_000_000)'''				,     setup=a_				,     number=1_00_00_00							)							)
      print(timeit('''primes(1_000_000_000_000)'''				,     setup=a_				,     number=1_00_00_00							)							)
      print(timeit('''fast_primes(1_000_000_000_000)'''				,     setup=a_				,     number=1_00_00_00							)							)


if __name__ == "__main__":
  lowerCamelCase_          =	int(input("Calculate primes up to:\n>> ").strip())
  for ret in primes(number):
    print(ret)
  benchmark()