
'''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					):




			def 					lowerCAmelCase__					(       self	):
				a_      				=						[[1, 2, 4], [1, 2, 3, 4]]
				a_      				=						DisjunctiveConstraint(_lowerCAmelCase	)
				self.assertTrue(isinstance(dc.token_ids					,   _lowerCAmelCase	)	)

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

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




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

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




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

				a_      				=						DisjunctiveConstraint(_lowerCAmelCase	)

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

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

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






			def 					lowerCAmelCase__					(       self	):
				a_      				=						[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

				a_      				=						DisjunctiveConstraint(_lowerCAmelCase	)

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

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

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

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

				dc.reset()

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

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

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







def 		lowerCAmelCase  (	UpperCamelCase__   :   List[Any]       ,			UpperCamelCase__   :   Dict					)      ->    List[Any]:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				int           =   [0 for i in range(r + 1					)]
						# nc0 = 1
						__SCREAMING_SNAKE_CASE:				Dict           =   1
						for i in range(1       ,			n + 1					):
												# to compute current row from previous row.
												__SCREAMING_SNAKE_CASE:				Optional[Any]           =   min(UpperCamelCase__       ,			UpperCamelCase__					)
												while j > 0:
																		c[j] += c[j - 1]
																		j -= 1
						return c[r]




print(binomial_coefficient(n=10, r=5))



