"""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     __UpperCAmelCase					(			lowercase   ,lowercase=10		):







		"""simple docstring"""
		_UpperCAmelCase						 =      []
		for _ in range(lowercase		):
				lrs.append(scheduler.get_lr()[0]		)
				scheduler.step()
		return lrs






def     __UpperCAmelCase					(			lowercase   ,lowercase=10		):







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

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


@require_torch
class        a				(		unittest.TestCase   ):


				def      lowerCAmelCase_  (					self	:  int   ,				__lowerCAmelCase	:  int   ,				__lowerCAmelCase	:  Any   ,				__lowerCAmelCase	:  int					):
						self.assertEqual(len(_lowercase					)   ,				len(_lowercase					)					)
						for a, b in zip(_lowercase   ,				_lowercase					):
								self.assertAlmostEqual(_lowercase   ,				_lowercase   ,				delta=_lowercase					)


				def      lowerCAmelCase_  (					self	:  Any					):
						_UpperCAmelCase						 =      torch.tensor([0.1, -0.2, -0.1]   ,				requires_grad=_lowercase					)
						_UpperCAmelCase						 =      torch.tensor([0.4, 0.2, -0.5]					)
						_UpperCAmelCase						 =      nn.MSELoss()
						# No warmup, constant schedule, no gradient clipping
						_UpperCAmelCase						 =      AdamW(params=[w]   ,				lr=2e-1   ,				weight_decay=0.0					)
						for _ in range(100					):
								_UpperCAmelCase						 =      criterion(_lowercase   ,				_lowercase					)
								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      lowerCAmelCase_  (					self	:  Optional[int]					):
						_UpperCAmelCase						 =      torch.tensor([0.1, -0.2, -0.1]   ,				requires_grad=_lowercase					)
						_UpperCAmelCase						 =      torch.tensor([0.4, 0.2, -0.5]					)
						_UpperCAmelCase						 =      nn.MSELoss()
						# No warmup, constant schedule, no gradient clipping
						_UpperCAmelCase						 =      Adafactor(
						    params=[w]   ,				lr=1e-2   ,				eps=(1e-3_0, 1e-3)   ,				clip_threshold=1.0   ,				decay_rate=-0.8   ,				betaa=_lowercase   ,				weight_decay=0.0   ,				relative_step=_lowercase   ,				scale_parameter=_lowercase   ,				warmup_init=_lowercase   ,				)
						for _ in range(1000					):
								_UpperCAmelCase						 =      criterion(_lowercase   ,				_lowercase					)
								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        a				(		unittest.TestCase   ):
				_snake_case     :  Optional[int]     							=							nn.Linear(50	,							50   ) if is_torch_available() else None
				_snake_case     :  Optional[Any]     							=							AdamW(m.parameters()	,							lr=10.0   ) if is_torch_available() else None
				_snake_case     :  Optional[Any]     							=							10


				def      lowerCAmelCase_  (					self	:  Tuple   ,				__lowerCAmelCase	:  Dict   ,				__lowerCAmelCase	:  List[Any]   ,				__lowerCAmelCase	:  Any   ,				__lowerCAmelCase	:  Union[str, Any]=None					):
						self.assertEqual(len(_lowercase					)   ,				len(_lowercase					)					)
						for a, b in zip(_lowercase   ,				_lowercase					):
								self.assertAlmostEqual(_lowercase   ,				_lowercase   ,				delta=_lowercase   ,				msg=_lowercase					)


				def      lowerCAmelCase_  (					self	:  Dict					):
						_UpperCAmelCase						 =      {'num_warmup_steps': 2, 'num_training_steps': 10}
						# schedulers doct format
						# function: (sched_args_dict, expected_learning_rates)
						_UpperCAmelCase						 =      {
						    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():
								_UpperCAmelCase						 =      data

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

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



class        a				:


				def __init__(					self	:  int   ,				__lowerCAmelCase	:  str					):
						_UpperCAmelCase						 =      fn


				def __call__(					self	:  List[Any]   ,				*__lowerCAmelCase	:  int   ,				**__lowerCAmelCase	:  int					):
						return self.fn(*_lowercase   ,				**_lowercase					)


				@classmethod
				def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  List[Any]					):
						_UpperCAmelCase						 =      list(map(self   ,				scheduler.lr_lambdas					)					)

"""simple docstring"""


import copy
import re


class        a				:
    _snake_case     :  Any     							=							'hp'
    _snake_case     :  Union[str, Any]     							=							{}
    _snake_case     :  Optional[Any]     							=							None


    @classmethod
    def      lowerCAmelCase_  (					cls	:  Union[str, Any]   ,				__lowerCAmelCase	:  List[Any]   ,				__lowerCAmelCase	:  str					):
      _UpperCAmelCase						 =      prefix
      _UpperCAmelCase						 =      defaults
      cls.build_naming_info()


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  Dict   ,				__lowerCAmelCase	:  Optional[Any]					):
      if len(__lowerCAmelCase					) == 0:
        return ""
      _UpperCAmelCase						 =      None
      if any(char.isdigit() for char in word					):
        raise Exception(f'''Parameters should not contain numbers: \'{word}\' contains a number'''					)
      if word in info["short_word"]:
        return info["short_word"][word]
      for prefix_len in range(1   ,				len(__lowerCAmelCase					) + 1					):
        _UpperCAmelCase						 =      word[:prefix_len]
        if prefix in info["reverse_short_word"]:
          continue
        else:
          _UpperCAmelCase						 =      prefix
          break

      if short_word is None:
        # Paranoid fallback
        def int_to_alphabetic(__lowerCAmelCase	:  List[Any]					):
          _UpperCAmelCase						 =      """"""
          while integer != 0:
            _UpperCAmelCase						 =      chr(ord("""A"""					) + integer % 10					) + s
            integer //= 10
          return s

        _UpperCAmelCase						 =      0
        while True:
          _UpperCAmelCase						 =      word + """#""" + int_to_alphabetic(__lowerCAmelCase					)
          if sword in info["reverse_short_word"]:
            continue
          else:
            _UpperCAmelCase						 =      sword
            break

      _UpperCAmelCase						 =      short_word
      _UpperCAmelCase						 =      word
      return short_word


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  Tuple   ,				__lowerCAmelCase	:  Optional[int]					):
      _UpperCAmelCase						 =      param_name.split("""_"""					)

      _UpperCAmelCase						 =      [TrialShortNamer.shortname_for_word(__lowerCAmelCase   ,				__lowerCAmelCase					) for word in words]

      # We try to create a separatorless short name, but if there is a collision we have to fallback
      # to a separated short name
      _UpperCAmelCase						 =      ["""""", """_"""]

      for separator in separators:
        _UpperCAmelCase						 =      separator.join(__lowerCAmelCase					)
        if shortname not in info["reverse_short_param"]:
          _UpperCAmelCase						 =      shortname
          _UpperCAmelCase						 =      param_name
          return shortname

      return param_name


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  Optional[int]   ,				__lowerCAmelCase	:  Optional[int]					):
      _UpperCAmelCase						 =      TrialShortNamer.shortname_for_key(__lowerCAmelCase   ,				__lowerCAmelCase					)
      _UpperCAmelCase						 =      short_name
      _UpperCAmelCase						 =      param_name


    @classmethod
    def      lowerCAmelCase_  (					cls	:  Optional[Any]					):
      if cls.NAMING_INFO is not None:
        return

      _UpperCAmelCase						 =      {
          """short_word""": {},
          """reverse_short_word""": {},
          """short_param""": {},
          """reverse_short_param""": {},
      }

      _UpperCAmelCase						 =      list(cls.DEFAULTS.keys()					)

      for k in field_keys:
        cls.add_new_param_name(__lowerCAmelCase   ,				__lowerCAmelCase					)

      _UpperCAmelCase						 =      info


    @classmethod
    def      lowerCAmelCase_  (					cls	:  List[str]   ,				__lowerCAmelCase	:  int					):
      cls.build_naming_info()
      assert cls.PREFIX is not None
      _UpperCAmelCase						 =      [copy.copy(cls.PREFIX					)]

      for k, v in params.items():
        if k not in cls.DEFAULTS:
          raise Exception(f'''You should provide a default value for the param name {k} with value {v}'''					)
        if v == cls.DEFAULTS[k]:
          # The default value is not added to the name
          continue

        _UpperCAmelCase						 =      cls.NAMING_INFO["""short_param"""][k]

        if isinstance(__lowerCAmelCase   ,				__lowerCAmelCase					):
          _UpperCAmelCase						 =      1 if v else 0

        _UpperCAmelCase						 =      """""" if isinstance(__lowerCAmelCase   ,				(int, float)					) else """-"""
        _UpperCAmelCase						 =      f'''{key}{sep}{v}'''
        name.append(__lowerCAmelCase					)

      return "_".join(__lowerCAmelCase					)


    @classmethod
    def      lowerCAmelCase_  (					cls	:  Optional[int]   ,				__lowerCAmelCase	:  Optional[Any]					):
      _UpperCAmelCase						 =      repr[len(cls.PREFIX					) + 1 :]
      if repr == "":
        _UpperCAmelCase						 =      []
      else:
        _UpperCAmelCase						 =      repr.split("""_"""					)

      _UpperCAmelCase						 =      {}

      for value in values:
        if "-" in value:
          _UpperCAmelCase ,				_UpperCAmelCase						 =      value.split("""-"""					)
        else:
          _UpperCAmelCase						 =      re.sub("""[0-9.]"""   ,				""""""   ,				__lowerCAmelCase					)
          _UpperCAmelCase						 =      float(re.sub("""[^0-9.]"""   ,				""""""   ,				__lowerCAmelCase					)					)

        _UpperCAmelCase						 =      cls.NAMING_INFO["""reverse_short_param"""][p_k]

        _UpperCAmelCase						 =      p_v

      for k in cls.DEFAULTS:
        if k not in parameters:
          _UpperCAmelCase						 =      cls.DEFAULTS[k]

      return parameters
