"""simple docstring"""





import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
				import torch

				from transformers.generation import (
				    MaxLengthCriteria,
				    MaxNewTokensCriteria,
				    MaxTimeCriteria,
				    StoppingCriteriaList,
				    validate_stopping_criteria,
				)
@require_torch
class  _snake_case     (					unittest.TestCase		):






						def       lowerCamelCase__     (       self      :			Any							,					UpperCAmelCase      :			Tuple    ):
													__lowerCamelCase					:		List[Any]		   =     3
													__lowerCamelCase					:		Optional[int]		   =     250

													__lowerCamelCase					:		Tuple		   =     ids_tensor((batch_size, length)							,					UpperCAmelCase    )
													__lowerCamelCase					:		Union[str, Any]		   =     torch.ones((batch_size, length)							,					device=UpperCAmelCase							,					dtype=torch.float    ) / length
													return input_ids, scores






						def       lowerCamelCase__     (       self      :			List[Any]    ):
													__lowerCamelCase   ,  __lowerCamelCase					:		int		   =     self._get_tensors(5    )

													__lowerCamelCase					:		Union[str, Any]		   =     StoppingCriteriaList(
													    [
													        MaxLengthCriteria(max_length=10    ),
													        MaxTimeCriteria(max_time=0.1    ),
													    ]    )

													self.assertFalse(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase   ,  __lowerCamelCase					:		Any		   =     self._get_tensors(9    )
													self.assertFalse(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase   ,  __lowerCamelCase					:		Union[str, Any]		   =     self._get_tensors(10    )
													self.assertTrue(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )






						def       lowerCamelCase__     (       self      :			Any    ):
													__lowerCamelCase					:		Tuple		   =     MaxLengthCriteria(max_length=10    )

													__lowerCamelCase   ,  __lowerCamelCase					:		Optional[int]		   =     self._get_tensors(5    )
													self.assertFalse(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase   ,  __lowerCamelCase					:		Optional[Any]		   =     self._get_tensors(9    )
													self.assertFalse(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase   ,  __lowerCamelCase					:		Tuple		   =     self._get_tensors(10    )
													self.assertTrue(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )






						def       lowerCamelCase__     (       self      :			List[str]    ):
													__lowerCamelCase					:		Any		   =     MaxNewTokensCriteria(start_length=5							,					max_new_tokens=5    )

													__lowerCamelCase   ,  __lowerCamelCase					:		List[Any]		   =     self._get_tensors(5    )
													self.assertFalse(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase   ,  __lowerCamelCase					:		Optional[Any]		   =     self._get_tensors(9    )
													self.assertFalse(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase   ,  __lowerCamelCase					:		Optional[int]		   =     self._get_tensors(10    )
													self.assertTrue(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase					:		int		   =     StoppingCriteriaList([criteria]    )
													self.assertEqual(criteria_list.max_length							,					10    )






						def       lowerCamelCase__     (       self      :			Any    ):
													__lowerCamelCase   ,  __lowerCamelCase					:		Tuple		   =     self._get_tensors(5    )

													__lowerCamelCase					:		str		   =     MaxTimeCriteria(max_time=0.1    )
													self.assertFalse(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )

													__lowerCamelCase					:		Dict		   =     MaxTimeCriteria(max_time=0.1							,					initial_timestamp=time.time() - 0.2    )
													self.assertTrue(criteria(UpperCAmelCase							,					UpperCAmelCase    )    )







						def       lowerCamelCase__     (       self      :			str    ):
													validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10    )]    )							,					10    )

													with self.assertWarns(UpperCAmelCase    ):
																				validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10    )]    )							,					11    )

													__lowerCamelCase					:		Union[str, Any]		   =     validate_stopping_criteria(StoppingCriteriaList()							,					11    )

													self.assertEqual(len(UpperCAmelCase    )							,					1    )
"""simple docstring"""





import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class  _snake_case     :
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			None
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			True
						snake_case__			  =			None
						snake_case__			  =			1
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			None
						snake_case__			  =			None






						def       lowerCamelCase__     (       self      :			Any    ):
													return self.__class__(**{k: copy.deepcopy(UpperCAmelCase    ) for k, v in self.__dict__.items()}    )