



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    UpperCAmelCase__(				unittest.TestCase						):

   '''simple docstring'''




   def       UpperCAmelCase		(    self	:      int      ,					lowerCAmelCase	:      str)						->					Any:




         """simple docstring"""

         lowercase__  =	3
         lowercase__  =	2_50

         lowercase__  =	ids_tensor((batch_size, length)      ,					lowercase_)
         lowercase__  =	torch.ones((batch_size, length)      ,					device=lowercase_      ,					dtype=torch.float) / length
         return input_ids, scores


   def       UpperCAmelCase		(    self	:      str)						->					Dict:




         """simple docstring"""

         lowercase__,						lowercase__  =	self._get_tensors(5)

         lowercase__  =	StoppingCriteriaList(
             [
                 MaxLengthCriteria(max_length=10),
                 MaxTimeCriteria(max_time=0.1),
             ])

         self.assertFalse(criteria(lowercase_      ,					lowercase_))

         lowercase__,						lowercase__  =	self._get_tensors(9)
         self.assertFalse(criteria(lowercase_      ,					lowercase_))

         lowercase__,						lowercase__  =	self._get_tensors(10)
         self.assertTrue(criteria(lowercase_      ,					lowercase_))


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




         """simple docstring"""

         lowercase__  =	MaxLengthCriteria(max_length=10)

         lowercase__,						lowercase__  =	self._get_tensors(5)
         self.assertFalse(criteria(lowercase_      ,					lowercase_))

         lowercase__,						lowercase__  =	self._get_tensors(9)
         self.assertFalse(criteria(lowercase_      ,					lowercase_))

         lowercase__,						lowercase__  =	self._get_tensors(10)
         self.assertTrue(criteria(lowercase_      ,					lowercase_))


   def       UpperCAmelCase		(    self	:      Tuple)						->					int:




         """simple docstring"""

         lowercase__  =	MaxNewTokensCriteria(start_length=5      ,					max_new_tokens=5)

         lowercase__,						lowercase__  =	self._get_tensors(5)
         self.assertFalse(criteria(lowercase_      ,					lowercase_))

         lowercase__,						lowercase__  =	self._get_tensors(9)
         self.assertFalse(criteria(lowercase_      ,					lowercase_))

         lowercase__,						lowercase__  =	self._get_tensors(10)
         self.assertTrue(criteria(lowercase_      ,					lowercase_))

         lowercase__  =	StoppingCriteriaList([criteria])
         self.assertEqual(criteria_list.max_length      ,					10)


   def       UpperCAmelCase		(    self	:      Dict)						->					int:




         """simple docstring"""

         lowercase__,						lowercase__  =	self._get_tensors(5)

         lowercase__  =	MaxTimeCriteria(max_time=0.1)
         self.assertFalse(criteria(lowercase_      ,					lowercase_))

         lowercase__  =	MaxTimeCriteria(max_time=0.1      ,					initial_timestamp=time.time() - 0.2)
         self.assertTrue(criteria(lowercase_      ,					lowercase_))



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




         """simple docstring"""

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

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

         lowercase__  =	validate_stopping_criteria(StoppingCriteriaList()      ,					11)

         self.assertEqual(len(lowercase_)      ,					1)







'''simple docstring'''

from __future__ import annotations





def 		UpperCamelCase							(				_lowerCamelCase   :   list[int]			):  # This function is recursive
    A__							=     len(_lowerCamelCase			)
    # If the array contains only one element, we return it (it's the stop condition of
    # recursion)
    if array_length <= 1:
        return array
        # Else
    A__							=     array[0]
    A__							=     False
    A__							=     1
    A__							=     []
    while not is_found and i < array_length:
        if array[i] < pivot:
            A__							=     True
            A__							=     [element for element in array[i:] if element >= array[i]]
            A__							=     longest_subsequence(_lowerCamelCase			)
            if len(_lowerCamelCase			) > len(_lowerCamelCase			):
                A__							=     temp_array
        else:
            i += 1

    A__							=     [element for element in array[1:] if element >= pivot]
    A__							=     [pivot, *longest_subsequence(_lowerCamelCase			)]
    if len(_lowerCamelCase			) > len(_lowerCamelCase			):
        return temp_array
    else:
        return longest_subseq


if __name__ == "__main__":
  import doctest

  doctest.testmod()



