






"""simple docstring"""
import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
      import torch

      from transformers.generation import (
          MaxLengthCriteria,
          MaxNewTokensCriteria,
          MaxTimeCriteria,
          StoppingCriteriaList,
          validate_stopping_criteria,
      )



@require_torch
class    SCREAMING_SNAKE_CASE__						(      unittest.TestCase				):

   def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE		)						->   Optional[int]:





    '''simple docstring'''




    UpperCAmelCase			:      str			=			3
    UpperCAmelCase			:      Optional[int]			=			250

    UpperCAmelCase			:      str			=			ids_tensor((batch_size, length)   ,  _SCREAMING_SNAKE_CASE		)
    UpperCAmelCase			:      Optional[int]			=			torch.ones((batch_size, length)   ,  device=_SCREAMING_SNAKE_CASE   ,  dtype=torch.float		) / length
    return input_ids, scores

   def 			SCREAMING_SNAKE_CASE  (     self		)						->   Optional[int]:





    '''simple docstring'''




    UpperCAmelCase			,	UpperCAmelCase			:      Union[str, Any]			=			self._get_tensors(5		)

    UpperCAmelCase			:      Tuple			=			StoppingCriteriaList(
        [
            MaxLengthCriteria(max_length=10		),
            MaxTimeCriteria(max_time=0.1		),
        ]		)

    self.assertFalse(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			,	UpperCAmelCase			:      Tuple			=			self._get_tensors(9		)
    self.assertFalse(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			,	UpperCAmelCase			:      List[str]			=			self._get_tensors(10		)
    self.assertTrue(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

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





    '''simple docstring'''




    UpperCAmelCase			:      Optional[int]			=			MaxLengthCriteria(max_length=10		)

    UpperCAmelCase			,	UpperCAmelCase			:      Union[str, Any]			=			self._get_tensors(5		)
    self.assertFalse(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			,	UpperCAmelCase			:      Union[str, Any]			=			self._get_tensors(9		)
    self.assertFalse(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			,	UpperCAmelCase			:      int			=			self._get_tensors(10		)
    self.assertTrue(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

   def 			SCREAMING_SNAKE_CASE  (     self		)						->   List[Any]:





    '''simple docstring'''




    UpperCAmelCase			:      int			=			MaxNewTokensCriteria(start_length=5   ,  max_new_tokens=5		)

    UpperCAmelCase			,	UpperCAmelCase			:      Optional[int]			=			self._get_tensors(5		)
    self.assertFalse(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			,	UpperCAmelCase			:      List[Any]			=			self._get_tensors(9		)
    self.assertFalse(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			,	UpperCAmelCase			:      str			=			self._get_tensors(10		)
    self.assertTrue(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			:      List[str]			=			StoppingCriteriaList([criteria]		)
    self.assertEqual(criteria_list.max_length   ,  10		)

   def 			SCREAMING_SNAKE_CASE  (     self		)						->   Optional[Any]:





    '''simple docstring'''




    UpperCAmelCase			,	UpperCAmelCase			:      Optional[Any]			=			self._get_tensors(5		)

    UpperCAmelCase			:      List[str]			=			MaxTimeCriteria(max_time=0.1		)
    self.assertFalse(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)

    UpperCAmelCase			:      Union[str, Any]			=			MaxTimeCriteria(max_time=0.1   ,  initial_timestamp=time.time() - 0.2		)
    self.assertTrue(criteria(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)		)




   def 			SCREAMING_SNAKE_CASE  (     self		)						->   Any:





    '''simple docstring'''




    validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10		)]		)   ,  10		)

    with self.assertWarns(_SCREAMING_SNAKE_CASE		):
     validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10		)]		)   ,  11		)

    UpperCAmelCase			:      str			=			validate_stopping_criteria(StoppingCriteriaList()   ,  11		)

    self.assertEqual(len(_SCREAMING_SNAKE_CASE		)   ,  1		)





"""simple docstring"""
from __future__ import annotations

from collections.abc import Generator

def    _snake_case		(		):
 UpperCAmelCase			:      dict[int, int]			=			{}
 UpperCAmelCase			:      str			=			2
 while True:
  UpperCAmelCase			:      List[str]			=			factor_map.pop(UpperCamelCase    ,	UpperCamelCase		)
  if factor:
   UpperCAmelCase			:      Dict			=			factor + prime
   while x in factor_map:
    x += factor
   UpperCAmelCase			:      Tuple			=			factor
  else:
   UpperCAmelCase			:      Optional[int]			=			prime
   yield prime
  prime += 1

def    _snake_case		(		UpperCamelCase		:	float = 1e1_0		):
 UpperCAmelCase			:      Tuple			=			sieve()

 UpperCAmelCase			:      Optional[Any]			=			1
 while True:
  UpperCAmelCase			:      List[str]			=			next(UpperCamelCase		)
  if (2 * prime * n) > limit:
   return n
  # Ignore the next prime as the reminder will be 2.
  next(UpperCamelCase		)
  n += 2


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