




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  _lowerCAmelCase     (  unittest.TestCase	):

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

        lowerCAmelCase__				:  Optional[Any]		       =     [[1, 2, 4], [1, 2, 3, 4]]
        lowerCAmelCase__				:  int		       =     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 	__magic_name__(   self		):
        # 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).
        lowerCAmelCase__				:  Any		       =     [[1, 2], [1, 2, 3, 4]]

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

      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  int		       =     [[1, 2, 3], [1, 2, 4]]

        lowerCAmelCase__				:  Optional[Any]		       =     DisjunctiveConstraint(__UpperCAmelCase		)

        lowerCAmelCase__       ,			lowerCAmelCase__       ,			lowerCAmelCase__				:  Any		       =     dc.update(1		)
        lowerCAmelCase__				:  Union[str, Any]		       =     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]		)

        lowerCAmelCase__       ,			lowerCAmelCase__       ,			lowerCAmelCase__				:  Tuple		       =     dc.update(2		)
        lowerCAmelCase__				:  Optional[Any]		       =     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]		)

        lowerCAmelCase__       ,			lowerCAmelCase__       ,			lowerCAmelCase__				:  Tuple		       =     dc.update(3		)
        lowerCAmelCase__				:  Optional[Any]		       =     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 	__magic_name__(   self		):
        lowerCAmelCase__				:  Optional[int]		       =     [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

        lowerCAmelCase__				:  List[str]		       =     DisjunctiveConstraint(__UpperCAmelCase		)

        lowerCAmelCase__       ,			lowerCAmelCase__       ,			lowerCAmelCase__				:  Tuple		       =     dc.update(1		)
        self.assertTrue(not dc.completed		)
        self.assertTrue(dc.current_seq == [1]		)

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

        lowerCAmelCase__       ,			lowerCAmelCase__       ,			lowerCAmelCase__				:  Optional[Any]		       =     dc.update(4		)
        self.assertTrue(not dc.completed		)
        self.assertTrue(dc.current_seq == [1, 2, 4]		)

        lowerCAmelCase__       ,			lowerCAmelCase__       ,			lowerCAmelCase__				:  Union[str, Any]		       =     dc.update(5		)
        self.assertTrue(dc.completed		)  # Completed!
        self.assertTrue(dc.current_seq == [1, 2, 4, 5]		)

        dc.reset()

        lowerCAmelCase__       ,			lowerCAmelCase__       ,			lowerCAmelCase__				:  Union[str, Any]		       =     dc.update(1		)
        self.assertTrue(not dc.completed		)
        self.assertTrue(dc.remaining() == 3		)
        self.assertTrue(dc.current_seq == [1]		)

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

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







import math



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	float:
  if (
      not isinstance(UpperCamelCase	,      (int, float)      )
      or power_factor < -1
      or power_factor > 1
  ):
    raise ValueError('''power_factor must be a valid float value between -1 and 1.'''      )
  return apparent_power * power_factor



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	float:
  if (
      not isinstance(UpperCamelCase	,      (int, float)      )
      or power_factor < -1
      or power_factor > 1
  ):
    raise ValueError('''power_factor must be a valid float value between -1 and 1.'''      )
  return apparent_power * math.sqrt(1 - power_factor**2      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()

