
'''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 							UpperCamelCase  (					self		:  Union[str, Any]			,				snake_case__		:  List[str] ):



   '''simple docstring'''




   UpperCAmelCase__      :					int				       =							3
   UpperCAmelCase__      :					Dict				       =							2_50

   UpperCAmelCase__      :					int				       =							ids_tensor((batch_size, length)			,				snake_case__ )
   UpperCAmelCase__      :					Dict				       =							torch.ones((batch_size, length)			,				device=snake_case__			,				dtype=torch.float ) / length
   return input_ids, scores







 def 							UpperCamelCase  (					self		:  Tuple ):



   '''simple docstring'''




   UpperCAmelCase__       ,			UpperCAmelCase__      :					Any				       =							self._get_tensors(5 )

   UpperCAmelCase__      :					Dict				       =							StoppingCriteriaList(
       [
           MaxLengthCriteria(max_length=10 ),
           MaxTimeCriteria(max_time=0.1 ),
       ] )

   self.assertFalse(criteria(snake_case__			,				snake_case__ ) )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					int				       =							self._get_tensors(9 )
   self.assertFalse(criteria(snake_case__			,				snake_case__ ) )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					Tuple				       =							self._get_tensors(10 )
   self.assertTrue(criteria(snake_case__			,				snake_case__ ) )







 def 							UpperCamelCase  (					self		:  Tuple ):



   '''simple docstring'''




   UpperCAmelCase__      :					List[str]				       =							MaxLengthCriteria(max_length=10 )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					Tuple				       =							self._get_tensors(5 )
   self.assertFalse(criteria(snake_case__			,				snake_case__ ) )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					Dict				       =							self._get_tensors(9 )
   self.assertFalse(criteria(snake_case__			,				snake_case__ ) )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					int				       =							self._get_tensors(10 )
   self.assertTrue(criteria(snake_case__			,				snake_case__ ) )







 def 							UpperCamelCase  (					self		:  Any ):



   '''simple docstring'''




   UpperCAmelCase__      :					str				       =							MaxNewTokensCriteria(start_length=5			,				max_new_tokens=5 )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					List[str]				       =							self._get_tensors(5 )
   self.assertFalse(criteria(snake_case__			,				snake_case__ ) )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					int				       =							self._get_tensors(9 )
   self.assertFalse(criteria(snake_case__			,				snake_case__ ) )

   UpperCAmelCase__       ,			UpperCAmelCase__      :					Dict				       =							self._get_tensors(10 )
   self.assertTrue(criteria(snake_case__			,				snake_case__ ) )

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







 def 							UpperCamelCase  (					self		:  str ):



   '''simple docstring'''




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

   UpperCAmelCase__      :					Union[str, Any]				       =							MaxTimeCriteria(max_time=0.1 )
   self.assertFalse(criteria(snake_case__			,				snake_case__ ) )

   UpperCAmelCase__      :					List[str]				       =							MaxTimeCriteria(max_time=0.1			,				initial_timestamp=time.time() - 0.2 )
   self.assertTrue(criteria(snake_case__			,				snake_case__ ) )







 def 							UpperCamelCase  (					self		:  int ):



   '''simple docstring'''




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

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

   UpperCAmelCase__      :					Union[str, Any]				       =							validate_stopping_criteria(StoppingCriteriaList()			,				11 )

   self.assertEqual(len(snake_case__ )			,				1 )





'''simple docstring'''





def snake_case_     (					lowercase__		):

  if len(lowercase__		) <= 1:
    return [tuple(lowercase__		)]

  UpperCAmelCase__      :					Union[str, Any]				       =							[]

  def generate(lowercase__   ,       lowercase__		):
    UpperCAmelCase__      :					str				       =							[0] * n
    res.append(tuple(lowercase__		)		)

    UpperCAmelCase__      :					Any				       =							0
    while i < n:
      if c[i] < i:
        if i % 2 == 0:
          UpperCAmelCase__       ,			UpperCAmelCase__      :					str				       =							arr[i], arr[0]
        else:
          UpperCAmelCase__       ,			UpperCAmelCase__      :					Optional[Any]				       =							arr[i], arr[c[i]]
        res.append(tuple(lowercase__		)		)
        c[i] += 1
        UpperCAmelCase__      :					List[str]				       =							0
      else:
        UpperCAmelCase__      :					Dict				       =							0
        i += 1

  generate(len(lowercase__		)   ,       lowercase__		)
  return res


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE     =       input("""Enter numbers separated by a comma:\n""").strip()
      SCREAMING_SNAKE_CASE     =       [int(item) for item in user_input.split(""",""")]
      print(heaps(arr))



