





'''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   _lowercase						(							unittest.TestCase				):


   def 					snake_case				( self    ,   _UpperCAmelCase					):
       A       :       Tuple							=						3
       A       :       List[Any]							=						250

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


   def 					snake_case				( self					):
       A,	A       :       Tuple							=						self._get_tensors(5					)

       A       :       Optional[Any]							=						StoppingCriteriaList(
           [
               MaxLengthCriteria(max_length=10					),
               MaxTimeCriteria(max_time=0.1					),
           ]					)

       self.assertFalse(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A,	A       :       Optional[int]							=						self._get_tensors(9					)
       self.assertFalse(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A,	A       :       Optional[int]							=						self._get_tensors(10					)
       self.assertTrue(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)


   def 					snake_case				( self					):
       A       :       Optional[Any]							=						MaxLengthCriteria(max_length=10					)

       A,	A       :       int							=						self._get_tensors(5					)
       self.assertFalse(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A,	A       :       Tuple							=						self._get_tensors(9					)
       self.assertFalse(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A,	A       :       Any							=						self._get_tensors(10					)
       self.assertTrue(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)


   def 					snake_case				( self					):
       A       :       Optional[Any]							=						MaxNewTokensCriteria(start_length=5    ,   max_new_tokens=5					)

       A,	A       :       List[str]							=						self._get_tensors(5					)
       self.assertFalse(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A,	A       :       Optional[int]							=						self._get_tensors(9					)
       self.assertFalse(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A,	A       :       int							=						self._get_tensors(10					)
       self.assertTrue(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A       :       Optional[Any]							=						StoppingCriteriaList([criteria]					)
       self.assertEqual(criteria_list.max_length    ,   10					)


   def 					snake_case				( self					):
       A,	A       :       List[Any]							=						self._get_tensors(5					)

       A       :       Optional[Any]							=						MaxTimeCriteria(max_time=0.1					)
       self.assertFalse(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)

       A       :       Optional[Any]							=						MaxTimeCriteria(max_time=0.1    ,   initial_timestamp=time.time() - 0.2					)
       self.assertTrue(criteria(_UpperCAmelCase    ,   _UpperCAmelCase					)					)


   def 					snake_case				( self					):
       validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10					)]					)    ,   10					)

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

       A       :       str							=						validate_stopping_criteria(StoppingCriteriaList()    ,   11					)

       self.assertEqual(len(_UpperCAmelCase					)    ,   1					)







'''simple docstring'''






from ..utils import DummyObject, requires_backends


class   _lowercase						(							metaclass=a				):
   _UpperCamelCase       		=   ["""onnx"""]


   def __init__( self    ,   *_UpperCAmelCase    ,   **_UpperCAmelCase					):
       requires_backends(self    ,   ['''onnx''']					)


   @classmethod
   def 					snake_case				( cls    ,   *_UpperCAmelCase    ,   **_UpperCAmelCase					):
       requires_backends(cls    ,   ['''onnx''']					)


   @classmethod
   def 					snake_case				( cls    ,   *_UpperCAmelCase    ,   **_UpperCAmelCase					):
       requires_backends(cls    ,   ['''onnx''']					)
