



'''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        UpperCAmelCase_			(			unittest.TestCase      ):
    """simple docstring"""







    def lowerCamelCase			(       self   :	Dict					,	snake_case_   :	Dict		):
          snake_case__    :       Any       		= 3
          snake_case__    :       Optional[Any]       		= 250

          snake_case__    :       List[Any]       		= ids_tensor((batch_size, length)					,	snake_case_		)
          snake_case__    :       Any       		= torch.ones((batch_size, length)					,	device=snake_case_					,	dtype=torch.float		) / length
          return input_ids, scores




    def lowerCamelCase			(       self   :	List[str]		):
          snake_case__		,							snake_case__    :       Any       		= self._get_tensors(5		)

          snake_case__    :       Union[str, Any]       		= StoppingCriteriaList(
              [
                  MaxLengthCriteria(max_length=10		),
                  MaxTimeCriteria(max_time=0.1		),
              ]		)

          self.assertFalse(criteria(snake_case_					,	snake_case_		)		)

          snake_case__		,							snake_case__    :       Tuple       		= self._get_tensors(9		)
          self.assertFalse(criteria(snake_case_					,	snake_case_		)		)

          snake_case__		,							snake_case__    :       Any       		= self._get_tensors(10		)
          self.assertTrue(criteria(snake_case_					,	snake_case_		)		)




    def lowerCamelCase			(       self   :	Optional[Any]		):
          snake_case__    :       Tuple       		= MaxLengthCriteria(max_length=10		)

          snake_case__		,							snake_case__    :       str       		= self._get_tensors(5		)
          self.assertFalse(criteria(snake_case_					,	snake_case_		)		)

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

          snake_case__		,							snake_case__    :       Optional[Any]       		= self._get_tensors(10		)
          self.assertTrue(criteria(snake_case_					,	snake_case_		)		)




    def lowerCamelCase			(       self   :	Union[str, Any]		):
          snake_case__    :       Union[str, Any]       		= MaxNewTokensCriteria(start_length=5					,	max_new_tokens=5		)

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

          snake_case__		,							snake_case__    :       Tuple       		= self._get_tensors(9		)
          self.assertFalse(criteria(snake_case_					,	snake_case_		)		)

          snake_case__		,							snake_case__    :       Any       		= self._get_tensors(10		)
          self.assertTrue(criteria(snake_case_					,	snake_case_		)		)

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




    def lowerCamelCase			(       self   :	Optional[Any]		):
          snake_case__		,							snake_case__    :       List[str]       		= self._get_tensors(5		)

          snake_case__    :       Tuple       		= MaxTimeCriteria(max_time=0.1		)
          self.assertFalse(criteria(snake_case_					,	snake_case_		)		)

          snake_case__    :       Optional[int]       		= MaxTimeCriteria(max_time=0.1					,	initial_timestamp=time.time() - 0.2		)
          self.assertTrue(criteria(snake_case_					,	snake_case_		)		)




    def lowerCamelCase			(       self   :	Union[str, Any]		):
          validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10		)]		)					,	10		)

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

          snake_case__    :       int       		= validate_stopping_criteria(StoppingCriteriaList()					,	11		)

          self.assertEqual(len(snake_case_		)					,	1		)





'''simple docstring'''





# flake8: noqa
# Lint as: python3
__a  			=						[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental
