


"""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 ):

     '''simple docstring'''


     def 							_UpperCAmelCase					(					self			, __UpperCAmelCase							)				->							Union[str, Any]:
          _a					= 3
          _a					= 250

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


     def 							_UpperCAmelCase					(					self							)				->							Dict:
          _a		,					_a					= self._get_tensors(5							)

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

          self.assertFalse(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

          _a		,					_a					= self._get_tensors(9							)
          self.assertFalse(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

          _a		,					_a					= self._get_tensors(10							)
          self.assertTrue(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)


     def 							_UpperCAmelCase					(					self							)				->							int:
          _a					= MaxLengthCriteria(max_length=10							)

          _a		,					_a					= self._get_tensors(5							)
          self.assertFalse(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

          _a		,					_a					= self._get_tensors(9							)
          self.assertFalse(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

          _a		,					_a					= self._get_tensors(10							)
          self.assertTrue(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)


     def 							_UpperCAmelCase					(					self							)				->							Union[str, Any]:
          _a					= MaxNewTokensCriteria(start_length=5			, max_new_tokens=5							)

          _a		,					_a					= self._get_tensors(5							)
          self.assertFalse(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

          _a		,					_a					= self._get_tensors(9							)
          self.assertFalse(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

          _a		,					_a					= self._get_tensors(10							)
          self.assertTrue(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

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


     def 							_UpperCAmelCase					(					self							)				->							Optional[int]:
          _a		,					_a					= self._get_tensors(5							)

          _a					= MaxTimeCriteria(max_time=0.1							)
          self.assertFalse(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)

          _a					= MaxTimeCriteria(max_time=0.1			, initial_timestamp=time.time() - 0.2							)
          self.assertTrue(criteria(UpperCAmelCase__			, UpperCAmelCase__							)							)





     def 							_UpperCAmelCase					(					self							)				->							Dict:
          validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10							)]							)			, 10							)

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

          _a					= validate_stopping_criteria(StoppingCriteriaList()			, 11							)

          self.assertEqual(len(UpperCAmelCase__							)			, 1							)





_lowerCamelCase	:		Optional[int]							       =   65521







def SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       int:



       """simple docstring"""

       A__       =    1
       A__       =    0
       for plain_chr in plain_text:
              A__       =    (a + ord(lowercase_						)) % MOD_ADLER
              A__       =    (b + a) % MOD_ADLER
       return (b << 16) | a


