





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 SCREAMING_SNAKE_CASE_  (   unittest.TestCase   ):






						def UpperCAmelCase_			( self : List[Any]		)							->      Tuple:







							"""simple docstring"""


							snake_case_						:     Dict     =		[[1, 2, 4], [1, 2, 3, 4]]
							snake_case_						:     str     =		DisjunctiveConstraint(_A		)
							self.assertTrue(isinstance(dc.token_ids						,				_A		)		)

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

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






						def UpperCAmelCase_			( self : Union[str, Any]		)							->      Dict:







							"""simple docstring"""


							snake_case_						:     List[Any]     =		[[1, 2], [1, 2, 3, 4]]

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






						def UpperCAmelCase_			( self : Tuple		)							->      Dict:







							"""simple docstring"""


							snake_case_						:     Union[str, Any]     =		[[1, 2, 3], [1, 2, 4]]

							snake_case_						:     int     =		DisjunctiveConstraint(_A		)

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

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

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






						def UpperCAmelCase_			( self : List[str]		)							->      List[Any]:







							"""simple docstring"""


							snake_case_						:     str     =		[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

							snake_case_						:     List[Any]     =		DisjunctiveConstraint(_A		)

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

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

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

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

							dc.reset()

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

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

							snake_case_  ,snake_case_  ,snake_case_						:     Union[str, Any]     =		dc.update(5		)
							self.assertTrue(dc.completed		)  # Completed!
							self.assertTrue(dc.remaining() == 0		)
							self.assertTrue(dc.current_seq == [1, 2, 5]		)








from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_SCREAMING_SNAKE_CASE 		=						{
    """configuration_informer""": [
        """INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InformerConfig""",
    ],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_SCREAMING_SNAKE_CASE 		=						[
						    """INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """InformerForPrediction""",
						    """InformerModel""",
						    """InformerPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_informer import (
												    INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    InformerForPrediction,
												    InformerModel,
												    InformerPreTrainedModel,
												)

else:
						import sys

						_SCREAMING_SNAKE_CASE 		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

