

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 				lowercase_		(							self						:		Dict     ,       __lowerCamelCase						:		Any )		->							int:
       SCREAMING_SNAKE_CASE__   =   3
       SCREAMING_SNAKE_CASE__   =   250

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






  def 				lowercase_		(							self						:		Tuple )		->							int:
       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(5 )

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

       self.assertFalse(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(9 )
       self.assertFalse(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(10 )
       self.assertTrue(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )






  def 				lowercase_		(							self						:		int )		->							List[str]:
       SCREAMING_SNAKE_CASE__   =   MaxLengthCriteria(max_length=10 )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(5 )
       self.assertFalse(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(9 )
       self.assertFalse(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(10 )
       self.assertTrue(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )






  def 				lowercase_		(							self						:		Optional[Any] )		->							str:
       SCREAMING_SNAKE_CASE__   =   MaxNewTokensCriteria(start_length=5     ,       max_new_tokens=5 )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(5 )
       self.assertFalse(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(9 )
       self.assertFalse(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(10 )
       self.assertTrue(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

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






  def 				lowercase_		(							self						:		Optional[Any] )		->							str:
       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   self._get_tensors(5 )

       SCREAMING_SNAKE_CASE__   =   MaxTimeCriteria(max_time=0.1 )
       self.assertFalse(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )

       SCREAMING_SNAKE_CASE__   =   MaxTimeCriteria(max_time=0.1     ,       initial_timestamp=time.time() - 0.2 )
       self.assertTrue(criteria(__lowerCamelCase     ,       __lowerCamelCase ) )







  def 				lowercase_		(							self						:		List[str] )		->							Any:
       validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10 )] )     ,       10 )

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

       SCREAMING_SNAKE_CASE__   =   validate_stopping_criteria(StoppingCriteriaList()     ,       11 )

       self.assertEqual(len(__lowerCamelCase )     ,       1 )







from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt
def     UpperCAmelCase_       (						_A				,		_A				,		_A    ):





     '''simple docstring'''




     if not arr:
          return None, None, 0
     if low == high:
          return low, high, arr[low]

     SCREAMING_SNAKE_CASE__   =   (low + high) // 2
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   max_subarray(_A				,		_A				,		_A    )
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   max_subarray(_A				,		mid + 1				,		_A    )
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   max_cross_sum(_A				,		_A				,		_A				,		_A    )
     if left_sum >= right_sum and left_sum >= cross_sum:
          return left_low, left_high, left_sum
     elif right_sum >= left_sum and right_sum >= cross_sum:
          return right_low, right_high, right_sum
     return cross_left, cross_right, cross_sum
def     UpperCAmelCase_       (						_A				,		_A				,		_A				,		_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   float('''-inf'''    ), -1
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   float('''-inf'''    ), -1

     SCREAMING_SNAKE_CASE__   =   0
     for i in range(_A				,		low - 1				,		-1    ):
          summ += arr[i]
          if summ > left_sum:
               SCREAMING_SNAKE_CASE__   =   summ
               SCREAMING_SNAKE_CASE__   =   i

     SCREAMING_SNAKE_CASE__   =   0
     for i in range(mid + 1				,		high + 1    ):
          summ += arr[i]
          if summ > right_sum:
               SCREAMING_SNAKE_CASE__   =   summ
               SCREAMING_SNAKE_CASE__   =   i

     return max_left, max_right, (left_sum + right_sum)
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   [randint(1				,		_A    ) for _ in range(_A    )]
     SCREAMING_SNAKE_CASE__   =   time.time()
     max_subarray(_A				,		0				,		input_size - 1    )
     SCREAMING_SNAKE_CASE__   =   time.time()
     return end - start
def     UpperCAmelCase_       (						):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   [10, 1_00, 10_00, 1_00_00, 5_00_00, 10_00_00, 20_00_00, 30_00_00, 40_00_00, 50_00_00]
     SCREAMING_SNAKE_CASE__   =   [time_max_subarray(_A    ) for input_size in input_sizes]
     print('''No of Inputs\t\tTime Taken'''    )
     for input_size, runtime in zip(_A				,		_A    ):
          print(_A				,		'''\t\t'''				,		_A    )
     plt.plot(_A				,		_A    )
     plt.xlabel('''Number of Inputs'''    )
     plt.ylabel('''Time taken in seconds'''    )
     plt.show()


if __name__ == "__main__":
       from doctest import testmod

       testmod()


