




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  lowerCAmelCase_    (				self    :						int							,							_lowerCAmelCase    :						List[str]		):
       SCREAMING_SNAKE_CASE_      		=     3
       SCREAMING_SNAKE_CASE_      		=     250

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



 def  lowerCAmelCase_    (				self    :						Tuple		):
       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(5		)

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

       self.assertFalse(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(9		)
       self.assertFalse(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(10		)
       self.assertTrue(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)



 def  lowerCAmelCase_    (				self    :						int		):
       SCREAMING_SNAKE_CASE_      		=     MaxLengthCriteria(max_length=10		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(5		)
       self.assertFalse(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(9		)
       self.assertFalse(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(10		)
       self.assertTrue(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)



 def  lowerCAmelCase_    (				self    :						Any		):
       SCREAMING_SNAKE_CASE_      		=     MaxNewTokensCriteria(start_length=5							,							max_new_tokens=5		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(5		)
       self.assertFalse(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(9		)
       self.assertFalse(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(10		)
       self.assertTrue(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

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



 def  lowerCAmelCase_    (				self    :						int		):
       SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     self._get_tensors(5		)

       SCREAMING_SNAKE_CASE_      		=     MaxTimeCriteria(max_time=0.1		)
       self.assertFalse(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)

       SCREAMING_SNAKE_CASE_      		=     MaxTimeCriteria(max_time=0.1							,							initial_timestamp=time.time() - 0.2		)
       self.assertTrue(criteria(_lowerCAmelCase							,							_lowerCAmelCase		)		)




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

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

       SCREAMING_SNAKE_CASE_      		=     validate_stopping_criteria(StoppingCriteriaList()							,							11		)

       self.assertEqual(len(_lowerCAmelCase		)							,							1		)






UpperCAmelCase_							=				{"""a""": ["""c""", """b"""], """b""": ["""d""", """e"""], """c""": [], """d""": [], """e""": []}
UpperCAmelCase_							=				["""a""", """b""", """c""", """d""", """e"""]





def  __magic_name__  (				lowercase				,       lowercase				,       lowercase				)				-> Union[str, Any]:

							"""simple docstring"""



							lowercase_	:   Tuple  				=     start
							# add current to visited
							visited.append(lowercase				)
							lowercase_	:   Any  				=     edges[current]
							for neighbor in neighbors:
														# if neighbor not in visited, visit
														if neighbor not in visited:
																					lowercase_	:   List[str]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # if all neighbors visited add current to sort
							sort.append(lowercase				)
							# if all vertices haven't been visited select a new one to visit
							if len(lowercase				) != len(lowercase				):
														for vertice in vertices:
																					if vertice not in visited:
																												lowercase_	:   Optional[Any]  				=     topological_sort(lowercase				,       lowercase				,       lowercase				)
    # return sort
							return sort


if __name__ == "__main__":
							UpperCAmelCase_							=				topological_sort("""a""", [], [])
							print(sort)