




"""simple docstring"""

import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
       import torch

       from transformers.generation import DisjunctiveConstraint





@require_torch
class 							lowercase_			(	unittest.TestCase				):



 '''simple docstring'''

 def      lowerCAmelCase_				(					self			:			Dict						):
       # For consistency across different places the DisjunctiveConstraint is called,
       # dc.token_ids is a list of integers. It is also initialized only by integers.

       _A     =  [[1, 2, 4], [1, 2, 3, 4]]
       _A     =  DisjunctiveConstraint(_UpperCAmelCase						)
       self.assertTrue(isinstance(dc.token_ids       ,				_UpperCAmelCase						)						)

       with self.assertRaises(_UpperCAmelCase						):
             DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]						)						)

       with self.assertRaises(_UpperCAmelCase						):
             DisjunctiveConstraint([torch.LongTensor([1, 2, 4]						), torch.LongTensor([1, 2, 3, 4, 5]						)]						)

 def      lowerCAmelCase_				(					self			:			Tuple						):
       # We can't have constraints that are complete subsets of another. This leads to a preverse
       # interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
       # It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
       # fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
       # will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
       _A     =  [[1, 2], [1, 2, 3, 4]]

       with self.assertRaises(_UpperCAmelCase						):
             DisjunctiveConstraint(_UpperCAmelCase						)  # fails here

 def      lowerCAmelCase_				(					self			:			str						):
       _A     =  [[1, 2, 3], [1, 2, 4]]

       _A     =  DisjunctiveConstraint(_UpperCAmelCase						)

       _A  ,       _A  ,       _A     =  dc.update(1						)
       _A     =  stepped is True and completed is False and reset is False
       self.assertTrue(_UpperCAmelCase						)
       self.assertTrue(not dc.completed						)
       self.assertTrue(dc.current_seq == [1]						)

       _A  ,       _A  ,       _A     =  dc.update(2						)
       _A     =  stepped is True and completed is False and reset is False
       self.assertTrue(_UpperCAmelCase						)
       self.assertTrue(not dc.completed						)
       self.assertTrue(dc.current_seq == [1, 2]						)

       _A  ,       _A  ,       _A     =  dc.update(3						)
       _A     =  stepped is True and completed is True and reset is False
       self.assertTrue(_UpperCAmelCase						)
       self.assertTrue(dc.completed						)  # Completed!
       self.assertTrue(dc.current_seq == [1, 2, 3]						)



 def      lowerCAmelCase_				(					self			:			Union[str, Any]						):
       _A     =  [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

       _A     =  DisjunctiveConstraint(_UpperCAmelCase						)

       _A  ,       _A  ,       _A     =  dc.update(1						)
       self.assertTrue(not dc.completed						)
       self.assertTrue(dc.current_seq == [1]						)

       _A  ,       _A  ,       _A     =  dc.update(2						)
       self.assertTrue(not dc.completed						)
       self.assertTrue(dc.current_seq == [1, 2]						)

       _A  ,       _A  ,       _A     =  dc.update(4						)
       self.assertTrue(not dc.completed						)
       self.assertTrue(dc.current_seq == [1, 2, 4]						)

       _A  ,       _A  ,       _A     =  dc.update(5						)
       self.assertTrue(dc.completed						)  # Completed!
       self.assertTrue(dc.current_seq == [1, 2, 4, 5]						)

       dc.reset()

       _A  ,       _A  ,       _A     =  dc.update(1						)
       self.assertTrue(not dc.completed						)
       self.assertTrue(dc.remaining() == 3						)
       self.assertTrue(dc.current_seq == [1]						)

       _A  ,       _A  ,       _A     =  dc.update(2						)
       self.assertTrue(not dc.completed						)
       self.assertTrue(dc.remaining() == 2						)
       self.assertTrue(dc.current_seq == [1, 2]						)

       _A  ,       _A  ,       _A     =  dc.update(5						)
       self.assertTrue(dc.completed						)  # Completed!
       self.assertTrue(dc.remaining() == 0						)
       self.assertTrue(dc.current_seq == [1, 2, 5]						)







"""simple docstring"""

def 		_snake_case	(   _snake_case				:   str				)       ->   str:






      '''simple docstring'''


      return " ".join(
          ''.join(word[::-1]				) if len(_snake_case				) > 4 else word for word in sentence.split()				)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       print(reverse_long_words('''Hey wollef sroirraw'''))

