



'''simple docstring'''




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    __lowerCamelCase						(      _lowercase			,       _lowercase=1_0	)   ->    int:
							UpperCAmelCase  :	Optional[int]							  =	[]
							for _ in range(_lowercase	):
														lrs.append(scheduler.get_lr()[0]	)
														scheduler.step()
							return lrs



def    __lowerCamelCase						(      _lowercase			,       _lowercase=1_0	)   ->    str:
							UpperCAmelCase  :	Union[str, Any]							  =	[]
							for step in range(_lowercase	):
														lrs.append(scheduler.get_lr()[0]	)
														scheduler.step()
														if step == num_steps // 2:
																					with tempfile.TemporaryDirectory() as tmpdirname:
																												UpperCAmelCase  :	Dict							  =	os.path.join(_lowercase			,       """schedule.bin"""	)
																												torch.save(scheduler.state_dict()			,       _lowercase	)

																												UpperCAmelCase  :	List[Any]							  =	torch.load(_lowercase	)
																												scheduler.load_state_dict(_lowercase	)
							return lrs

@require_torch
class     UpperCamelCase_				(							unittest.TestCase    ):





	def 				_lowercase(						self	,	A	,	A	,	A					)    ->    Optional[Any]:
								self.assertEqual(len(A					)	,	len(A					)					)
								for a, b in zip(A	,	A					):
															self.assertAlmostEqual(A	,	A	,	delta=A					)





	def 				_lowercase(						self					)    ->    List[str]:
								UpperCAmelCase  :	Tuple							  =	torch.tensor([0.1, -0.2, -0.1]	,	requires_grad=A					)
								UpperCAmelCase  :	Any							  =	torch.tensor([0.4, 0.2, -0.5]					)
								UpperCAmelCase  :	List[str]							  =	nn.MSELoss()
								# No warmup, constant schedule, no gradient clipping
								UpperCAmelCase  :	Any							  =	AdamW(params=[w]	,	lr=2e-1	,	weight_decay=0.0					)
								for _ in range(100					):
															UpperCAmelCase  :	Dict							  =	criterion(A	,	A					)
															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 				_lowercase(						self					)    ->    str:
								UpperCAmelCase  :	int							  =	torch.tensor([0.1, -0.2, -0.1]	,	requires_grad=A					)
								UpperCAmelCase  :	Optional[Any]							  =	torch.tensor([0.4, 0.2, -0.5]					)
								UpperCAmelCase  :	str							  =	nn.MSELoss()
								# No warmup, constant schedule, no gradient clipping
								UpperCAmelCase  :	Any							  =	Adafactor(
								    params=[w]	,	lr=1e-2	,	eps=(1e-30, 1e-3)	,	clip_threshold=1.0	,	decay_rate=-0.8	,	betaa=A	,	weight_decay=0.0	,	relative_step=A	,	scale_parameter=A	,	warmup_init=A	,	)
								for _ in range(1000					):
															UpperCAmelCase  :	Union[str, Any]							  =	criterion(A	,	A					)
															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    ):
	lowercase    =				nn.Linear(50   ,  50    ) if is_torch_available() else None
	lowercase    =				AdamW(m.parameters()   ,  lr=10.0    ) if is_torch_available() else None
	lowercase    =				10





	def 				_lowercase(						self	,	A	,	A	,	A	,	A=None					)    ->    List[str]:
								self.assertEqual(len(A					)	,	len(A					)					)
								for a, b in zip(A	,	A					):
															self.assertAlmostEqual(A	,	A	,	delta=A	,	msg=A					)






	def 				_lowercase(						self					)    ->    Union[str, Any]:
								UpperCAmelCase  :	int							  =	{"""num_warmup_steps""": 2, """num_training_steps""": 10}
								# schedulers doct format
								# function: (sched_args_dict, expected_learning_rates)
								UpperCAmelCase  :	Optional[int]							  =	{
								    get_constant_schedule: ({}, [1_0.0] * self.num_steps),
								    get_constant_schedule_with_warmup: (
								        {"""num_warmup_steps""": 4},
								        [0.0, 2.5, 5.0, 7.5, 1_0.0, 1_0.0, 1_0.0, 1_0.0, 1_0.0, 1_0.0],
								    ),
								    get_linear_schedule_with_warmup: (
								        {**common_kwargs},
								        [0.0, 5.0, 1_0.0, 8.7_5, 7.5, 6.2_5, 5.0, 3.7_5, 2.5, 1.2_5],
								    ),
								    get_cosine_schedule_with_warmup: (
								        {**common_kwargs},
								        [0.0, 5.0, 1_0.0, 9.6_1, 8.5_3, 6.9_1, 5.0, 3.0_8, 1.4_6, 0.3_8],
								    ),
								    get_cosine_with_hard_restarts_schedule_with_warmup: (
								        {**common_kwargs, """num_cycles""": 2},
								        [0.0, 5.0, 1_0.0, 8.5_3, 5.0, 1.4_6, 1_0.0, 8.5_3, 5.0, 1.4_6],
								    ),
								    get_polynomial_decay_schedule_with_warmup: (
								        {**common_kwargs, """power""": 2.0, """lr_end""": 1e-7},
								        [0.0, 5.0, 1_0.0, 7.6_5_6, 5.6_2_5, 3.9_0_6, 2.5, 1.4_0_6, 0.6_2_5, 0.1_5_6],
								    ),
								    get_inverse_sqrt_schedule: (
								        {"""num_warmup_steps""": 2},
								        [0.0, 5.0, 1_0.0, 8.1_6_5, 7.0_7_1, 6.3_2_5, 5.7_7_4, 5.3_4_5, 5.0, 4.7_1_4],
								    ),
								}

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

															UpperCAmelCase  :	List[Any]							  =	scheduler_func(self.optimizer	,	**A					)
															self.assertEqual(len([scheduler.get_lr()[0]]					)	,	1					)
															UpperCAmelCase  :	List[Any]							  =	unwrap_schedule(A	,	self.num_steps					)
															self.assertListAlmostEqual(
															    A	,	A	,	tol=1e-2	,	msg=f'''failed for {scheduler_func} in normal scheduler'''	,	)

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




class     UpperCamelCase_				:





	def __init__(						self	,	A					)    ->    Optional[int]:
								UpperCAmelCase  :	Optional[int]							  =	fn





	def __call__(						self	,	*A	,	**A					)    ->    Optional[int]:
								return self.fn(*A	,	**A					)






	@classmethod
	def 				_lowercase(						self	,	A					)    ->    Any:
								UpperCAmelCase  :	Tuple							  =	list(map(self	,	scheduler.lr_lambdas					)					)






'''simple docstring'''




def    __lowerCamelCase						(      _lowercase = "The quick brown fox jumps over the lazy dog"			,       )   ->    bool:
							UpperCAmelCase  :	Union[str, Any]							  =	set()

							# Replace all the whitespace in our sentence
							UpperCAmelCase  :	List[str]							  =	input_str.replace(""" """			,       """"""	)
							for alpha in input_str:
														if "a" <= alpha.lower() <= "z":
																					frequency.add(alpha.lower()	)
							return len(_lowercase	) == 2_6



def    __lowerCamelCase						(      _lowercase = "The quick brown fox jumps over the lazy dog"			,       )   ->    bool:
							UpperCAmelCase  :	Tuple							  =	[False] * 2_6
							for char in input_str:
														if char.islower():
																					UpperCAmelCase  :	Any							  =	True
														elif char.isupper():
																					UpperCAmelCase  :	Union[str, Any]							  =	True
							return all(_lowercase	)



def    __lowerCamelCase						(      _lowercase = "The quick brown fox jumps over the lazy dog"			,       )   ->    bool:
							return len({char for char in input_str.lower() if char.isalpha()}	) == 2_6



def    __lowerCamelCase						(      )   ->    None:
							from timeit import timeit

							UpperCAmelCase  :	str							  =	"""from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
							print(timeit("""is_pangram()"""			,       setup=_lowercase	)	)
							print(timeit("""is_pangram_faster()"""			,       setup=_lowercase	)	)
							print(timeit("""is_pangram_fastest()"""			,       setup=_lowercase	)	)
							# 5.348480500048026, 2.6477354579837993, 1.8470395830227062
							# 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							benchmark()

