



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 						__a (     unittest.TestCase				):



	def 		UpperCamelCase							(						self							:    int				,	snake_case_							:    List[str])->							List[Any]:
						__lowerCAmelCase	   =3
						__lowerCAmelCase	   =2_50

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



	def 		UpperCamelCase							(						self							:    int)->							Union[str, Any]:
						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(5)

						__lowerCAmelCase	   =StoppingCriteriaList(
						    [
						        MaxLengthCriteria(max_length=10),
						        MaxTimeCriteria(max_time=0.1),
						    ])

						self.assertFalse(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(9)
						self.assertFalse(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(10)
						self.assertTrue(criteria(snake_case_				,	snake_case_))



	def 		UpperCamelCase							(						self							:    int)->							Union[str, Any]:
						__lowerCAmelCase	   =MaxLengthCriteria(max_length=10)

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(5)
						self.assertFalse(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(9)
						self.assertFalse(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(10)
						self.assertTrue(criteria(snake_case_				,	snake_case_))



	def 		UpperCamelCase							(						self							:    Dict)->							Any:
						__lowerCAmelCase	   =MaxNewTokensCriteria(start_length=5				,	max_new_tokens=5)

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(5)
						self.assertFalse(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(9)
						self.assertFalse(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(10)
						self.assertTrue(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase	   =StoppingCriteriaList([criteria])
						self.assertEqual(criteria_list.max_length				,	10)



	def 		UpperCamelCase							(						self							:    Optional[int])->							Dict:
						__lowerCAmelCase   ,	__lowerCAmelCase	   =self._get_tensors(5)

						__lowerCAmelCase	   =MaxTimeCriteria(max_time=0.1)
						self.assertFalse(criteria(snake_case_				,	snake_case_))

						__lowerCAmelCase	   =MaxTimeCriteria(max_time=0.1				,	initial_timestamp=time.time() - 0.2)
						self.assertTrue(criteria(snake_case_				,	snake_case_))



	def 		UpperCamelCase							(						self							:    Union[str, Any])->							str:
						validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10)])				,	10)

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

						__lowerCAmelCase	   =validate_stopping_criteria(StoppingCriteriaList()				,	11)

						self.assertEqual(len(snake_case_)				,	1)








def 					__lowerCAmelCase		(  __lowerCamelCase	:    int	)  ->						list:
					__lowerCAmelCase	   =int(__lowerCamelCase	)
					if n_element < 1:
										__lowerCAmelCase	   =ValueError("""a should be a positive number"""	)
										raise my_error

					__lowerCAmelCase	   =[1]
					__lowerCAmelCase   ,	__lowerCAmelCase   ,	__lowerCAmelCase	   =(0, 0, 0)
					__lowerCAmelCase	   =1
					while index < n_element:
										while hamming_list[i] * 2 <= hamming_list[-1]:
															i += 1
										while hamming_list[j] * 3 <= hamming_list[-1]:
															j += 1
										while hamming_list[k] * 5 <= hamming_list[-1]:
															k += 1
										hamming_list.append(
										    min(hamming_list[i] * 2				,   hamming_list[j] * 3				,   hamming_list[k] * 5	)	)
										index += 1
					return hamming_list


if __name__ == "__main__":
				lowercase_	       =			input('''Enter the last number (nth term) of the Hamming Number Series: ''')
				print('''Formula of Hamming Number Series => 2^i * 3^j * 5^k''')
				lowercase_	       =			hamming(int(n))
				print('''-----------------------------------------------------''')
				print(F"The list with nth numbers is: {hamming_numbers}")
				print('''-----------------------------------------------------''')




