


"""simple docstring"""





def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			list			):
      _enforce_args(_snake_case ,   _snake_case			)
      if n == 0:
            return 0
      lowerCAmelCase					:	List[str]       =   float('''-inf'''			)
      for i in range(1 ,   n + 1			):
            lowerCAmelCase					:	int       =   max(
                _snake_case ,   prices[i - 1] + naive_cut_rod_recursive(n - i ,   _snake_case			)			)

      return max_revue


def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			list			):
      _enforce_args(_snake_case ,   _snake_case			)
      lowerCAmelCase					:	Dict       =   [float('''-inf'''			) for _ in range(n + 1			)]
      return _top_down_cut_rod_recursive(_snake_case ,   _snake_case ,   _snake_case			)


def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			list ,   _snake_case				:			list			):
      if max_rev[n] >= 0:
            return max_rev[n]
      elif n == 0:
            return 0
      else:
            lowerCAmelCase					:	List[str]       =   float('''-inf'''			)
            for i in range(1 ,   n + 1			):
                  lowerCAmelCase					:	Union[str, Any]       =   max(
                      _snake_case ,   prices[i - 1] + _top_down_cut_rod_recursive(n - i ,   _snake_case ,   _snake_case			) ,   )

            lowerCAmelCase					:	Optional[int]       =   max_revenue

      return max_rev[n]


def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			list			):
      _enforce_args(_snake_case ,   _snake_case			)

      # length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
      # length 0.
      lowerCAmelCase					:	int       =   [float('''-inf'''			) for _ in range(n + 1			)]
      lowerCAmelCase					:	Union[str, Any]       =   0

      for i in range(1 ,   n + 1			):
            lowerCAmelCase					:	Any       =   max_rev[i]
            for j in range(1 ,   i + 1			):
                  lowerCAmelCase					:	Dict       =   max(_snake_case ,   prices[j - 1] + max_rev[i - j]			)

            lowerCAmelCase					:	Optional[Any]       =   max_revenue_i

      return max_rev[n]


def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			list			):
      if n < 0:
            lowerCAmelCase					:	Dict       =   f'''n must be greater than or equal to 0. Got n = {n}'''
            raise ValueError(_snake_case			)

      if n > len(_snake_case			):
            lowerCAmelCase					:	Dict       =   (
                '''Each integral piece of rod must have a corresponding price. '''
                f'''Got n = {n} but length of prices = {len(_snake_case			)}'''
            )
            raise ValueError(_snake_case			)


def      _snake_case						(						):
      lowerCAmelCase					:	List[str]       =   [6, 10, 12, 15, 20, 23]
      lowerCAmelCase					:	Tuple       =   len(_snake_case			)

      # the best revenue comes from cutting the rod into 6 pieces, each
      # of length 1 resulting in a revenue of 6 * 6 = 36.
      lowerCAmelCase					:	List[str]       =   36

      lowerCAmelCase					:	Dict       =   top_down_cut_rod(_snake_case ,   _snake_case			)
      lowerCAmelCase					:	List[str]       =   bottom_up_cut_rod(_snake_case ,   _snake_case			)
      lowerCAmelCase					:	List[str]       =   naive_cut_rod_recursive(_snake_case ,   _snake_case			)

      assert expected_max_revenue == max_rev_top_down
      assert max_rev_top_down == max_rev_bottom_up
      assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
 main()






"""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 		snake_case_(       unittest.TestCase			):






     def      lowerCamelCase__     (	self  :					int					,				UpperCamelCase_  :					int				):
           lowerCAmelCase					:	str       =   3
           lowerCAmelCase					:	Tuple       =   2_5_0

           lowerCAmelCase					:	Optional[Any]       =   ids_tensor((batch_size, length)					,				UpperCamelCase_				)
           lowerCAmelCase					:	Optional[Any]       =   torch.ones((batch_size, length)					,				device=UpperCamelCase_					,				dtype=torch.float				) / length
           return input_ids, scores






     def      lowerCamelCase__     (	self  :					Optional[Any]				):
           lowerCAmelCase,      lowerCAmelCase					:	Optional[int]       =   self._get_tensors(5				)

           lowerCAmelCase					:	Union[str, Any]       =   StoppingCriteriaList(
               [
                   MaxLengthCriteria(max_length=1_0				),
                   MaxTimeCriteria(max_time=0.1				),
               ]				)

           self.assertFalse(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)

           lowerCAmelCase,      lowerCAmelCase					:	List[str]       =   self._get_tensors(9				)
           self.assertFalse(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)

           lowerCAmelCase,      lowerCAmelCase					:	Any       =   self._get_tensors(1_0				)
           self.assertTrue(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)






     def      lowerCamelCase__     (	self  :					Optional[Any]				):
           lowerCAmelCase					:	Optional[Any]       =   MaxLengthCriteria(max_length=1_0				)

           lowerCAmelCase,      lowerCAmelCase					:	Optional[Any]       =   self._get_tensors(5				)
           self.assertFalse(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)

           lowerCAmelCase,      lowerCAmelCase					:	List[str]       =   self._get_tensors(9				)
           self.assertFalse(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)

           lowerCAmelCase,      lowerCAmelCase					:	str       =   self._get_tensors(1_0				)
           self.assertTrue(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)






     def      lowerCamelCase__     (	self  :					List[Any]				):
           lowerCAmelCase					:	Optional[Any]       =   MaxNewTokensCriteria(start_length=5					,				max_new_tokens=5				)

           lowerCAmelCase,      lowerCAmelCase					:	Optional[int]       =   self._get_tensors(5				)
           self.assertFalse(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)

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

           lowerCAmelCase,      lowerCAmelCase					:	str       =   self._get_tensors(1_0				)
           self.assertTrue(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)

           lowerCAmelCase					:	Dict       =   StoppingCriteriaList([criteria]				)
           self.assertEqual(criteria_list.max_length					,				1_0				)






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase,      lowerCAmelCase					:	Tuple       =   self._get_tensors(5				)

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

           lowerCAmelCase					:	List[str]       =   MaxTimeCriteria(max_time=0.1					,				initial_timestamp=time.time() - 0.2				)
           self.assertTrue(criteria(UpperCamelCase_					,				UpperCamelCase_				)				)






     def      lowerCamelCase__     (	self  :					str				):
           validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0				)]				)					,				1_0				)

           with self.assertWarns(UpperCamelCase_				):
                 validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0				)]				)					,				1_1				)

           lowerCAmelCase					:	str       =   validate_stopping_criteria(StoppingCriteriaList()					,				1_1				)

           self.assertEqual(len(UpperCamelCase_				)					,				1				)


