
"""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 A_	(unittest.TestCase      ):




  '''simple docstring'''







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     # For consistency across different places the DisjunctiveConstraint is called,
     # dc.token_ids is a list of integers. It is also initialized only by integers.

     UpperCAmelCase_					:					Union[str, Any]			     =    [[1, 2, 4], [1, 2, 3, 4]]
     UpperCAmelCase_					:					Optional[Any]			     =    DisjunctiveConstraint(lowercase_  )
     self.assertTrue(isinstance(dc.token_ids				,   lowercase_  )  )

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

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







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     # 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).
     UpperCAmelCase_					:					Optional[Any]			     =    [[1, 2], [1, 2, 3, 4]]

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







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					int			     =    [[1, 2, 3], [1, 2, 4]]

     UpperCAmelCase_					:					Any			     =    DisjunctiveConstraint(lowercase_  )

     UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					List[str]			     =    dc.update(1  )
     UpperCAmelCase_					:					Optional[int]			     =    stepped is True and completed is False and reset is False
     self.assertTrue(lowercase_  )
     self.assertTrue(not dc.completed  )
     self.assertTrue(dc.current_seq == [1]  )

     UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					int			     =    dc.update(2  )
     UpperCAmelCase_					:					Any			     =    stepped is True and completed is False and reset is False
     self.assertTrue(lowercase_  )
     self.assertTrue(not dc.completed  )
     self.assertTrue(dc.current_seq == [1, 2]  )

     UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					Union[str, Any]			     =    dc.update(3  )
     UpperCAmelCase_					:					Dict			     =    stepped is True and completed is True and reset is False
     self.assertTrue(lowercase_  )
     self.assertTrue(dc.completed  )  # Completed!
     self.assertTrue(dc.current_seq == [1, 2, 3]  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Union[str, Any]			     =    [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

     UpperCAmelCase_					:					str			     =    DisjunctiveConstraint(lowercase_  )

     UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					Optional[Any]			     =    dc.update(1  )
     self.assertTrue(not dc.completed  )
     self.assertTrue(dc.current_seq == [1]  )

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

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

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

     dc.reset()

     UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					Optional[int]			     =    dc.update(1  )
     self.assertTrue(not dc.completed  )
     self.assertTrue(dc.remaining() == 3  )
     self.assertTrue(dc.current_seq == [1]  )

     UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					Optional[int]			     =    dc.update(2  )
     self.assertTrue(not dc.completed  )
     self.assertTrue(dc.remaining() == 2  )
     self.assertTrue(dc.current_seq == [1, 2]  )

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




"""simple docstring"""





def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float(moles / volume  ) * nfactor  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float((moles * 0.0821 * temperature) / (volume)  )  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float((moles * 0.0821 * temperature) / (pressure)  )  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   return round(float((pressure * volume) / (0.0821 * moles)  )  )


if __name__ == "__main__":
    import doctest

    doctest.testmod()


