import os
import tempfile
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
		import torch
		from torch import nn

		from transformers import (
		    Adafactor,
		    AdamW,
		    get_constant_schedule,
		    get_constant_schedule_with_warmup,
		    get_cosine_schedule_with_warmup,
		    get_cosine_with_hard_restarts_schedule_with_warmup,
		    get_inverse_sqrt_schedule,
		    get_linear_schedule_with_warmup,
		    get_polynomial_decay_schedule_with_warmup,
		)





def 				UpperCAmelCase						(    lowercase							,			lowercase=10							):







				"""simple docstring"""



				__lowercase 			=							[]
				for _ in range(lowercase							):
								lrs.append(scheduler.get_lr()[0]							)
								scheduler.step()
				return lrs





def 				UpperCAmelCase						(    lowercase							,			lowercase=10							):







				"""simple docstring"""



				__lowercase 			=							[]
				for step in range(lowercase							):
								lrs.append(scheduler.get_lr()[0]							)
								scheduler.step()
								if step == num_steps // 2:
												with tempfile.TemporaryDirectory() as tmpdirname:
																__lowercase 			=							os.path.join(lowercase							,			'''schedule.bin'''							)
																torch.save(scheduler.state_dict()							,			lowercase							)

																__lowercase 			=							torch.load(lowercase							)
																scheduler.load_state_dict(lowercase							)
				return lrs




@require_torch
class    _UpperCamelCase      (						unittest.TestCase ):


			"""simple docstring"""






			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__      ,   lowerCAmelCase__      ,   lowerCAmelCase__						)     ->					Union[str, Any]:

							'''simple docstring'''


							self.assertEqual(len(lowerCAmelCase__						)      ,   len(lowerCAmelCase__						)						)
							for a, b in zip(lowerCAmelCase__      ,   lowerCAmelCase__						):
											self.assertAlmostEqual(lowerCAmelCase__      ,   lowerCAmelCase__      ,   delta=lowerCAmelCase__						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					List[str]:

							'''simple docstring'''


							__lowercase 			=							torch.tensor([0.1, -0.2, -0.1]      ,   requires_grad=lowerCAmelCase__						)
							__lowercase 			=							torch.tensor([0.4, 0.2, -0.5]						)
							__lowercase 			=							nn.MSELoss()
							# No warmup, constant schedule, no gradient clipping
							__lowercase 			=							AdamW(params=[w]      ,   lr=2E-1      ,   weight_decay=0.0						)
							for _ in range(1_00						):
											__lowercase 			=							criterion(lowerCAmelCase__      ,   lowerCAmelCase__						)
											loss.backward()
											optimizer.step()
											w.grad.detach_()  # No zero_grad() function on simple tensors. we do it ourselves.
											w.grad.zero_()
							self.assertListAlmostEqual(w.tolist()      ,   [0.4, 0.2, -0.5]      ,   tol=1E-2						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Tuple:

							'''simple docstring'''


							__lowercase 			=							torch.tensor([0.1, -0.2, -0.1]      ,   requires_grad=lowerCAmelCase__						)
							__lowercase 			=							torch.tensor([0.4, 0.2, -0.5]						)
							__lowercase 			=							nn.MSELoss()
							# No warmup, constant schedule, no gradient clipping
							__lowercase 			=							Adafactor(
							    params=[w]      ,   lr=1E-2      ,   eps=(1E-30, 1E-3)      ,   clip_threshold=1.0      ,   decay_rate=-0.8      ,   betaa=lowerCAmelCase__      ,   weight_decay=0.0      ,   relative_step=lowerCAmelCase__      ,   scale_parameter=lowerCAmelCase__      ,   warmup_init=lowerCAmelCase__      ,   )
							for _ in range(10_00						):
											__lowercase 			=							criterion(lowerCAmelCase__      ,   lowerCAmelCase__						)
											loss.backward()
											optimizer.step()
											w.grad.detach_()  # No zero_grad() function on simple tensors. we do it ourselves.
											w.grad.zero_()
							self.assertListAlmostEqual(w.tolist()      ,   [0.4, 0.2, -0.5]      ,   tol=1E-2						)




@require_torch
class    _UpperCamelCase      (						unittest.TestCase ):


			"""simple docstring"""






			__a  : Any			 =						nn.Linear(50						,50 ) if is_torch_available() else None
			__a  : List[Any]			 =						AdamW(m.parameters()						,lr=10.0 ) if is_torch_available() else None
			__a  : int			 =						10





			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__      ,   lowerCAmelCase__      ,   lowerCAmelCase__      ,   lowerCAmelCase__=None						)     ->					Optional[Any]:

							'''simple docstring'''


							self.assertEqual(len(lowerCAmelCase__						)      ,   len(lowerCAmelCase__						)						)
							for a, b in zip(lowerCAmelCase__      ,   lowerCAmelCase__						):
											self.assertAlmostEqual(lowerCAmelCase__      ,   lowerCAmelCase__      ,   delta=lowerCAmelCase__      ,   msg=lowerCAmelCase__						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Tuple:

							'''simple docstring'''


							__lowercase 			=							{'''num_warmup_steps''': 2, '''num_training_steps''': 10}
							# schedulers doct format
							# function: (sched_args_dict, expected_learning_rates)
							__lowercase 			=							{
							    get_constant_schedule: ({}, [10.0] * self.num_steps),
							    get_constant_schedule_with_warmup: (
							        {'''num_warmup_steps''': 4},
							        [0.0, 2.5, 5.0, 7.5, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0],
							    ),
							    get_linear_schedule_with_warmup: (
							        {**common_kwargs},
							        [0.0, 5.0, 10.0, 8.75, 7.5, 6.25, 5.0, 3.75, 2.5, 1.25],
							    ),
							    get_cosine_schedule_with_warmup: (
							        {**common_kwargs},
							        [0.0, 5.0, 10.0, 9.61, 8.53, 6.91, 5.0, 3.08, 1.46, 0.38],
							    ),
							    get_cosine_with_hard_restarts_schedule_with_warmup: (
							        {**common_kwargs, '''num_cycles''': 2},
							        [0.0, 5.0, 10.0, 8.53, 5.0, 1.46, 10.0, 8.53, 5.0, 1.46],
							    ),
							    get_polynomial_decay_schedule_with_warmup: (
							        {**common_kwargs, '''power''': 2.0, '''lr_end''': 1E-7},
							        [0.0, 5.0, 10.0, 7.656, 5.625, 3.906, 2.5, 1.406, 0.625, 0.156],
							    ),
							    get_inverse_sqrt_schedule: (
							        {'''num_warmup_steps''': 2},
							        [0.0, 5.0, 10.0, 8.165, 7.071, 6.325, 5.774, 5.345, 5.0, 4.714],
							    ),
							}

							for scheduler_func, data in scheds.items():
											__lowercase			,     __lowercase 			=							data

											__lowercase 			=							scheduler_func(self.optimizer      ,   **lowerCAmelCase__						)
											self.assertEqual(len([scheduler.get_lr()[0]]						)      ,   1						)
											__lowercase 			=							unwrap_schedule(lowerCAmelCase__      ,   self.num_steps						)
											self.assertListAlmostEqual(
											    lowerCAmelCase__      ,   lowerCAmelCase__      ,   tol=1E-2      ,   msg=F"failed for {scheduler_func} in normal scheduler"      ,   )

											__lowercase 			=							scheduler_func(self.optimizer      ,   **lowerCAmelCase__						)
											if scheduler_func.__name__ != "get_constant_schedule":
															LambdaScheduleWrapper.wrap_scheduler(lowerCAmelCase__						)  # wrap to test picklability of the schedule
											__lowercase 			=							unwrap_and_save_reload_schedule(lowerCAmelCase__      ,   self.num_steps						)
											self.assertListEqual(lowerCAmelCase__      ,   lowerCAmelCase__      ,   msg=F"failed for {scheduler_func} in save and reload"						)




class    _UpperCamelCase      :


			"""simple docstring"""






			def __init__(   self      ,   lowerCAmelCase__						)     ->					List[Any]:

							'''simple docstring'''


							__lowercase 			=							fn





			def __call__(   self      ,   *lowerCAmelCase__      ,   **lowerCAmelCase__						)     ->					Optional[int]:

							'''simple docstring'''


							return self.fn(*lowerCAmelCase__      ,   **lowerCAmelCase__						)





			@classmethod
			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__						)     ->					Dict:

							'''simple docstring'''


							__lowercase 			=							list(map(self      ,   scheduler.lr_lambdas						)						)
from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
__a  :     List[str]       =  Lock()





def 				UpperCAmelCase						(    lowercase							,			lowercase							,			lowercase							,			lowercase							,			lowercase							,			lowercase							,			lowercase							):







				"""simple docstring"""



				global process_lock

				# we perform n swaps since after n swaps we know we are sorted
				# we *could* stop early if we are sorted already, but it takes as long to
				# find out we are sorted as it does to sort the list with this algorithm
				for i in range(0							,			10							):
								if (i + position) % 2 == 0 and r_send is not None:
												# send your value to your right neighbor
												process_lock.acquire()
												r_send[1].send(lowercase							)
												process_lock.release()

												# receive your right neighbor's value
												process_lock.acquire()
												__lowercase 			=							rr_cv[0].recv()
												process_lock.release()

												# take the lower value since you are on the left
												__lowercase 			=							min(lowercase							,			lowercase							)
								elif (i + position) % 2 != 0 and l_send is not None:
												# send your value to your left neighbor
												process_lock.acquire()
												l_send[1].send(lowercase							)
												process_lock.release()

												# receive your left neighbor's value
												process_lock.acquire()
												__lowercase 			=							lr_cv[0].recv()
												process_lock.release()

												# take the higher value since you are on the right
												__lowercase 			=							max(lowercase							,			lowercase							)
    # after all swaps are performed, send the values back to main
				result_pipe[1].send(lowercase							)





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



				__lowercase 			=							[]
				__lowercase 			=							[]
				# initialize the list of pipes where the values will be retrieved
				for _ in arr:
								result_pipe.append(Pipe()							)
				# creates the processes
				# the first and last process only have one neighbor so they are made outside
				# of the loop
				__lowercase 			=							Pipe()
				__lowercase 			=							Pipe()
				process_array_.append(
				    Process(
				        target=lowercase							,			args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])							,			)							)
				__lowercase 			=							temp_rs
				__lowercase 			=							temp_rr

				for i in range(1							,			len(lowercase							) - 1							):
								__lowercase 			=							Pipe()
								__lowercase 			=							Pipe()
								process_array_.append(
								    Process(
								        target=lowercase							,			args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])							,			)							)
								__lowercase 			=							temp_rs
								__lowercase 			=							temp_rr

				process_array_.append(
				    Process(
				        target=lowercase							,			args=(
				            len(lowercase							) - 1,
				            arr[len(lowercase							) - 1],
				            temp_ls,
				            None,
				            temp_lr,
				            None,
				            result_pipe[len(lowercase							) - 1],
				        )							,			)							)

				# start the processes
				for p in process_array_:
								p.start()

				# wait for the processes to end and write their values to the list
				for p in range(0							,			len(lowercase							)							):
								__lowercase 			=							result_pipe[p][0].recv()
								process_array_[p].join()
				return arr





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				__lowercase 			=							list(range(10							,			0							,			-1							)							)
				print('''Initial List'''							)
				print(*lowercase							)
				__lowercase 			=							odd_even_transposition(lowercase							)
				print('''Sorted List\n'''							)
				print(*lowercase							)


if __name__ == "__main__":
		main()