'''simple docstring'''




import gc
import threading
import time

import psutil
import torch






class 							a__:


			'''simple docstring'''






			def __init__(  self):




					"""simple docstring"""


					lowerCAmelCase     =    psutil.Process()
					lowerCAmelCase     =    False



			def 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    -1

					while True:
							lowerCAmelCase     =    max(self.process.memory_info().rss			,       self.cpu_memory_peak)

							# can't sleep or will not catch the peak right (this comment is here on purpose)
							if not self.peak_monitoring:
									break



			def 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    True
					lowerCAmelCase     =    threading.Thread(target=self.peak_monitor)
					lowerCAmelCase     =    True
					self.thread.start()







			def 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    False
					self.thread.join()
					return self.cpu_memory_peak







__lowercase        =    PeakCPUMemory()






def 							snake_case__				(     )       ->      Tuple:

		'''simple docstring'''


		lowerCAmelCase     =    {"""time""": time.time()}

		gc.collect()
		torch.cuda.empty_cache()

		# CPU mem
		lowerCAmelCase     =    psutil.Process().memory_info().rss
		cpu_peak_tracker.start()

		# GPU mem
		for i in range(torch.cuda.device_count()					):
				lowerCAmelCase     =    torch.cuda.memory_allocated(_A					)
		torch.cuda.reset_peak_memory_stats()

		return measures






def 							snake_case__				(     _A:   Union[str, Any]					)       ->      List[str]:

		'''simple docstring'''


		lowerCAmelCase     =    {"""time""": time.time() - start_measures["""time"""]}

		gc.collect()
		torch.cuda.empty_cache()

		# CPU mem
		lowerCAmelCase     =    (psutil.Process().memory_info().rss - start_measures["""cpu"""]) / 2**20
		lowerCAmelCase     =    (cpu_peak_tracker.stop() - start_measures["""cpu"""]) / 2**20

		# GPU mem
		for i in range(torch.cuda.device_count()					):
				lowerCAmelCase     =    (torch.cuda.memory_allocated(_A					) - start_measures[str(_A					)]) / 2**20
				lowerCAmelCase     =    (torch.cuda.max_memory_allocated(_A					) - start_measures[str(_A					)]) / 2**20

		return measures






def 							snake_case__				(     _A:   Optional[Any] ,  _A:   Any					)       ->      str:

		'''simple docstring'''


		print(f"{description}:"					)
		print(f"- Time: {measures['time']:.2f}s"					)
		for i in range(torch.cuda.device_count()					):
				print(f"- GPU {i} allocated: {measures[str(_A					)]:.2f}MiB"					)
				lowerCAmelCase     =    measures[f"{i}-peak"]
				print(f"- GPU {i} peak: {peak:.2f}MiB"					)
		print(f"- CPU RAM allocated: {measures['cpu']:.2f}MiB"					)
		print(f"- CPU RAM peak: {measures['cpu-peak']:.2f}MiB"					)





'''simple docstring'''




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 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    [[1, 2, 4], [1, 2, 3, 4]]
					lowerCAmelCase     =    DisjunctiveConstraint(__lowerCAmelCase)
					self.assertTrue(isinstance(dc.token_ids			,       __lowerCAmelCase))

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

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



			def 				a_			(  self):




					"""simple docstring"""


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

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



			def 				a_			(  self):




					"""simple docstring"""


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

					lowerCAmelCase     =    DisjunctiveConstraint(__lowerCAmelCase)

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(1)
					lowerCAmelCase     =    stepped is True and completed is False and reset is False
					self.assertTrue(__lowerCAmelCase)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(2)
					lowerCAmelCase     =    stepped is True and completed is False and reset is False
					self.assertTrue(__lowerCAmelCase)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1, 2])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(3)
					lowerCAmelCase     =    stepped is True and completed is True and reset is False
					self.assertTrue(__lowerCAmelCase)
					self.assertTrue(dc.completed)  # Completed!
					self.assertTrue(dc.current_seq == [1, 2, 3])







			def 				a_			(  self):




					"""simple docstring"""


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

					lowerCAmelCase     =    DisjunctiveConstraint(__lowerCAmelCase)

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(1)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(2)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1, 2])

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

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

					dc.reset()

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

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

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(5)
					self.assertTrue(dc.completed)  # Completed!
					self.assertTrue(dc.remaining() == 0)
					self.assertTrue(dc.current_seq == [1, 2, 5])




