

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				)     ->  List[str]:
							'''simple docstring'''






							A__						=	[[1, 2, 4], [1, 2, 3, 4]]
							A__						=	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				)     ->  Any:
							'''simple docstring'''






							A__						=	[[1, 2], [1, 2, 3, 4]]

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


			def    UpperCamelCase						(			self				)     ->  List[Any]:
							'''simple docstring'''






							A__						=	[[1, 2, 3], [1, 2, 4]]

							A__						=	DisjunctiveConstraint(lowercase				)

							A__			, A__			, A__						=	dc.update(1				)
							A__						=	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]				)

							A__			, A__			, A__						=	dc.update(2				)
							A__						=	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]				)

							A__			, A__			, A__						=	dc.update(3				)
							A__						=	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				)     ->  Union[str, Any]:
							'''simple docstring'''






							A__						=	[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

							A__						=	DisjunctiveConstraint(lowercase				)

							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]				)








from __future__ import annotations






def      lowerCamelCase_						(				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase )		->						tuple[float, list[float]]:






				"""simple docstring"""


				snake_case_						:    Dict				=  list(range(len(_UpperCamelCase ) ) )
				snake_case_						:    Dict				=  [v / w for v, w in zip(_UpperCamelCase ,				_UpperCamelCase )]
				index.sort(key=lambda _UpperCamelCase : ratio[i] ,				reverse=_UpperCamelCase )

				snake_case_						:    float				=  0
				snake_case_						:    list[float]				=  [0] * len(_UpperCamelCase )
				for i in index:
								if weight[i] <= capacity:
												snake_case_						:    Dict				=  1
												max_value += value[i]
												capacity -= weight[i]
								else:
												snake_case_						:    Union[str, Any]				=  capacity / weight[i]
												max_value += value[i] * capacity / weight[i]
												break

				return max_value, fractions


if __name__ == "__main__":
	import doctest

	doctest.testmod()
