





'''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 lowerCamelCase						(unittest.TestCase					):







  def 				UpperCAmelCase_				(		self     ,     lowercase__		)		->						Any:






        """simple docstring"""





        _snake_case		:	str					     =     3
        _snake_case		:	Tuple					     =     250

        _snake_case		:	int					     =     ids_tensor((batch_size, length)     ,     lowercase__		)
        _snake_case		:	str					     =     torch.ones((batch_size, length)     ,     device=lowercase__     ,     dtype=torch.float		) / length
        return input_ids, scores







  def 				UpperCAmelCase_				(		self		)		->						List[str]:






        """simple docstring"""





        _snake_case     ,							_snake_case		:	List[Any]					     =     self._get_tensors(5		)

        _snake_case		:	int					     =     StoppingCriteriaList(
            [
                MaxLengthCriteria(max_length=10		),
                MaxTimeCriteria(max_time=0.1		),
            ]		)

        self.assertFalse(criteria(lowercase__     ,     lowercase__		)		)

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

        _snake_case     ,							_snake_case		:	Tuple					     =     self._get_tensors(10		)
        self.assertTrue(criteria(lowercase__     ,     lowercase__		)		)







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






        """simple docstring"""





        _snake_case		:	Dict					     =     MaxLengthCriteria(max_length=10		)

        _snake_case     ,							_snake_case		:	Optional[int]					     =     self._get_tensors(5		)
        self.assertFalse(criteria(lowercase__     ,     lowercase__		)		)

        _snake_case     ,							_snake_case		:	Tuple					     =     self._get_tensors(9		)
        self.assertFalse(criteria(lowercase__     ,     lowercase__		)		)

        _snake_case     ,							_snake_case		:	str					     =     self._get_tensors(10		)
        self.assertTrue(criteria(lowercase__     ,     lowercase__		)		)







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






        """simple docstring"""





        _snake_case		:	Tuple					     =     MaxNewTokensCriteria(start_length=5     ,     max_new_tokens=5		)

        _snake_case     ,							_snake_case		:	List[str]					     =     self._get_tensors(5		)
        self.assertFalse(criteria(lowercase__     ,     lowercase__		)		)

        _snake_case     ,							_snake_case		:	Dict					     =     self._get_tensors(9		)
        self.assertFalse(criteria(lowercase__     ,     lowercase__		)		)

        _snake_case     ,							_snake_case		:	Optional[Any]					     =     self._get_tensors(10		)
        self.assertTrue(criteria(lowercase__     ,     lowercase__		)		)

        _snake_case		:	Dict					     =     StoppingCriteriaList([criteria]		)
        self.assertEqual(criteria_list.max_length     ,     10		)







  def 				UpperCAmelCase_				(		self		)		->						Any:






        """simple docstring"""





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

        _snake_case		:	List[Any]					     =     MaxTimeCriteria(max_time=0.1		)
        self.assertFalse(criteria(lowercase__     ,     lowercase__		)		)

        _snake_case		:	List[Any]					     =     MaxTimeCriteria(max_time=0.1     ,     initial_timestamp=time.time() - 0.2		)
        self.assertTrue(criteria(lowercase__     ,     lowercase__		)		)







  def 				UpperCAmelCase_				(		self		)		->						Tuple:






        """simple docstring"""





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

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

        _snake_case		:	Optional[int]					     =     validate_stopping_criteria(StoppingCriteriaList()     ,     11		)

        self.assertEqual(len(lowercase__		)     ,     1		)









'''simple docstring'''

UpperCAmelCase					:		Union[str, Any]		=							tuple[float, float, float]
UpperCAmelCase					:		int		=							tuple[float, float, float]




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	str					     =     end_pointa[0] - end_pointa[0]
      _snake_case		:	Tuple					     =     end_pointa[1] - end_pointa[1]
      _snake_case		:	Any					     =     end_pointa[2] - end_pointa[2]
      return (x, y, z)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Dict					     =     ab[1] * ac[2] - ab[2] * ac[1]  # *i
      _snake_case		:	List[str]					     =     (ab[0] * ac[2] - ab[2] * ac[0]) * -1  # *j
      _snake_case		:	Optional[int]					     =     ab[0] * ac[1] - ab[1] * ac[0]  # *k
      return (x, y, z)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      return tuple(round(lowerCAmelCase_			,      lowerCAmelCase_	) for x in vector	) == (0, 0, 0)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_ = 10	):





      """simple docstring"""



      _snake_case		:	str					     =     create_vector(lowerCAmelCase_			,      lowerCAmelCase_	)
      _snake_case		:	Tuple					     =     create_vector(lowerCAmelCase_			,      lowerCAmelCase_	)
      return is_zero_vector(get_ad_vectors_cross(lowerCAmelCase_			,      lowerCAmelCase_	)			,      lowerCAmelCase_	)


