






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    _lowerCAmelCase			(		unittest.TestCase      ):



				"""simple docstring"""



				def 					__magic_name__							(      self    :    Dict			,		UpperCamelCase__    :    List[str]):






											'''simple docstring'''







											snake_case__	  =       3
											snake_case__	  =       2_5_0

											snake_case__	  =       ids_tensor((batch_size, length)			,		UpperCamelCase__)
											snake_case__	  =       torch.ones((batch_size, length)			,		device=UpperCamelCase__			,		dtype=torch.float) / length
											return input_ids, scores



				def 					__magic_name__							(      self    :    List[Any]):






											'''simple docstring'''







											snake_case__  , snake_case__	  =       self._get_tensors(5)

											snake_case__	  =       StoppingCriteriaList(
											    [
											        MaxLengthCriteria(max_length=1_0),
											        MaxTimeCriteria(max_time=0.1),
											    ])

											self.assertFalse(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__  , snake_case__	  =       self._get_tensors(9)
											self.assertFalse(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__  , snake_case__	  =       self._get_tensors(1_0)
											self.assertTrue(criteria(UpperCamelCase__			,		UpperCamelCase__))



				def 					__magic_name__							(      self    :    Dict):






											'''simple docstring'''







											snake_case__	  =       MaxLengthCriteria(max_length=1_0)

											snake_case__  , snake_case__	  =       self._get_tensors(5)
											self.assertFalse(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__  , snake_case__	  =       self._get_tensors(9)
											self.assertFalse(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__  , snake_case__	  =       self._get_tensors(1_0)
											self.assertTrue(criteria(UpperCamelCase__			,		UpperCamelCase__))



				def 					__magic_name__							(      self    :    Dict):






											'''simple docstring'''







											snake_case__	  =       MaxNewTokensCriteria(start_length=5			,		max_new_tokens=5)

											snake_case__  , snake_case__	  =       self._get_tensors(5)
											self.assertFalse(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__  , snake_case__	  =       self._get_tensors(9)
											self.assertFalse(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__  , snake_case__	  =       self._get_tensors(1_0)
											self.assertTrue(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__	  =       StoppingCriteriaList([criteria])
											self.assertEqual(criteria_list.max_length			,		1_0)



				def 					__magic_name__							(      self    :    Optional[int]):






											'''simple docstring'''







											snake_case__  , snake_case__	  =       self._get_tensors(5)

											snake_case__	  =       MaxTimeCriteria(max_time=0.1)
											self.assertFalse(criteria(UpperCamelCase__			,		UpperCamelCase__))

											snake_case__	  =       MaxTimeCriteria(max_time=0.1			,		initial_timestamp=time.time() - 0.2)
											self.assertTrue(criteria(UpperCamelCase__			,		UpperCamelCase__))



				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0)])			,		1_0)

											with self.assertWarns(UpperCamelCase__):
																		validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0)])			,		1_1)

											snake_case__	  =       validate_stopping_criteria(StoppingCriteriaList()			,		1_1)

											self.assertEqual(len(UpperCamelCase__)			,		1)








import random
from typing import Any

def _UpperCAmelCase   (	a						:	list ):
							for _ in range(len(a ) ):
														snake_case__	  =       random.randint(0  ,					len(a ) - 1 )
														snake_case__	  =       random.randint(0  ,					len(a ) - 1 )
														snake_case__  , snake_case__	  =       data[b], data[a]
							return data


if __name__ == "__main__":
	a__       =     [0, 1, 2, 3, 4, 5, 6, 7]
	a__       =     ["""python""", """says""", """hello""", """!"""]
	print("""Fisher-Yates Shuffle:""")
	print("""List""", integers, strings)
	print("""FY Shuffle""", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))
