






'''simple docstring'''




import importlib
import math
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Tuple, Union

import flax
import jax.numpy as jnp

from ..utils import BaseOutput


__lowerCamelCase   :					List[str]   							=					'''scheduler_config.json'''







class    A_	(a_							):
							"""simple docstring"""




							a__   		=	1
							a__   		=	2
							a__   		=	3
							a__   		=	4
							a__   		=	5







@dataclass
class    A_	(a_							):
							"""simple docstring"""




							a__   		=	42







class    A_	:
							"""simple docstring"""




							a__   		=	SCHEDULER_CONFIG_NAME
							a__   		=	['''dtype''']
							a__   		=	[]
							a__   		=	True

							@classmethod
							def 							_A	(		cls			:Dict       ,							lowerCAmelCase__			:Dict[str, Any] = None       ,							lowerCAmelCase__			:Optional[str] = None       ,							lowerCAmelCase__			:Tuple=False       ,							**lowerCAmelCase__			:Optional[int]       ,							)				->  Dict:


										'''simple docstring'''




										snake_case_,	snake_case_				:					int   =       cls.load_config(
										    pretrained_model_name_or_path=lowerCAmelCase__       ,							subfolder=lowerCAmelCase__       ,							return_unused_kwargs=lowerCAmelCase__       ,							**lowerCAmelCase__       ,							)
										snake_case_,	snake_case_				:					Optional[int]   =       cls.from_config(lowerCAmelCase__       ,							return_unused_kwargs=lowerCAmelCase__       ,							**lowerCAmelCase__				)

										if hasattr(lowerCAmelCase__       ,							"create_state"				) and getattr(lowerCAmelCase__       ,							"has_state"       ,							lowerCAmelCase__				):
													snake_case_				:					Optional[Any]   =       scheduler.create_state()

										if return_unused_kwargs:
													return scheduler, state, unused_kwargs

										return scheduler, state

							def 							_A	(		self			:Dict       ,							lowerCAmelCase__			:Union[str, os.PathLike]       ,							lowerCAmelCase__			:bool = False       ,							**lowerCAmelCase__			:int				)				->  Any:


										'''simple docstring'''




										self.save_config(save_directory=lowerCAmelCase__       ,							push_to_hub=lowerCAmelCase__       ,							**lowerCAmelCase__				)

							@property
							def 							_A	(		self			:Optional[int]				)				->  Optional[int]:


										'''simple docstring'''




										return self._get_compatibles()






							@classmethod
							def 							_A	(		cls			:Union[str, Any]				)				->  Tuple:


										'''simple docstring'''




										snake_case_				:					Any   =       list(set([cls.__name__] + cls._compatibles				)				)
										snake_case_				:					int   =       importlib.import_module(__name__.split("."				)[0]				)
										snake_case_				:					Union[str, Any]   =       [
										    getattr(lowerCAmelCase__       ,							lowerCAmelCase__				) for c in compatible_classes_str if hasattr(lowerCAmelCase__       ,							lowerCAmelCase__				)
										]
										return compatible_classes

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__						)->    jnp.ndarray:



			"""simple docstring"""



			assert len(__magic_name__						) >= x.ndim
			return jnp.broadcast_to(x.reshape(x.shape + (1,) * (len(__magic_name__						) - x.ndim)						)     ,__magic_name__						)

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__=0.999     ,__magic_name__=jnp.floataa						)->    jnp.ndarray:



			"""simple docstring"""



			def alpha_bar(__magic_name__						):
						return math.cos((time_step + 0.008) / 1.008 * math.pi / 2						) ** 2

			snake_case_				:					str   =       []
			for i in range(__magic_name__						):
						snake_case_				:					Optional[Any]   =       i / num_diffusion_timesteps
						snake_case_				:					List[Any]   =       (i + 1) / num_diffusion_timesteps
						betas.append(min(1 - alpha_bar(__magic_name__						) / alpha_bar(__magic_name__						)     ,__magic_name__						)						)
			return jnp.array(__magic_name__     ,dtype=__magic_name__						)







@flax.struct.dataclass
class    A_	:
							"""simple docstring"""




							a__   		=	42
							a__   		=	42
							a__   		=	42

							@classmethod
							def 							_A	(		cls			:str       ,							lowerCAmelCase__			:Tuple				)				->  Dict:


										'''simple docstring'''




										snake_case_				:					List[Any]   =       scheduler.config

										if config.trained_betas is not None:
													snake_case_				:					List[Any]   =       jnp.asarray(config.trained_betas       ,							dtype=scheduler.dtype				)
										elif config.beta_schedule == "linear":
													snake_case_				:					Optional[Any]   =       jnp.linspace(config.beta_start       ,							config.beta_end       ,							config.num_train_timesteps       ,							dtype=scheduler.dtype				)
										elif config.beta_schedule == "scaled_linear":
													# this schedule is very specific to the latent diffusion model.
													snake_case_				:					Union[str, Any]   =       (
													    jnp.linspace(
													        config.beta_start**0.5       ,							config.beta_end**0.5       ,							config.num_train_timesteps       ,							dtype=scheduler.dtype				)
													    ** 2
													)
										elif config.beta_schedule == "squaredcos_cap_v2":
													# Glide cosine schedule
													snake_case_				:					Any   =       betas_for_alpha_bar(config.num_train_timesteps       ,							dtype=scheduler.dtype				)
										else:
													raise NotImplementedError(
													    F'''beta_schedule {config.beta_schedule} is not implemented for scheduler {scheduler.__class__.__name__}'''				)

										snake_case_				:					List[Any]   =       1.0 - betas

										snake_case_				:					Any   =       jnp.cumprod(lowerCAmelCase__       ,							axis=0				)

										return cls(
										    alphas=lowerCAmelCase__       ,							betas=lowerCAmelCase__       ,							alphas_cumprod=lowerCAmelCase__       ,							)

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__						)->    Any:



			"""simple docstring"""



			snake_case_				:					int   =       state.alphas_cumprod

			snake_case_				:					Optional[int]   =       alphas_cumprod[timesteps] ** 0.5
			snake_case_				:					Dict   =       sqrt_alpha_prod.flatten()
			snake_case_				:					str   =       broadcast_to_shape_from_left(__magic_name__     ,original_samples.shape						)

			snake_case_				:					List[Any]   =       (1 - alphas_cumprod[timesteps]) ** 0.5
			snake_case_				:					int   =       sqrt_one_minus_alpha_prod.flatten()
			snake_case_				:					List[Any]   =       broadcast_to_shape_from_left(__magic_name__     ,original_samples.shape						)

			return sqrt_alpha_prod, sqrt_one_minus_alpha_prod

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__						)->    int:



			"""simple docstring"""



			snake_case_,	snake_case_				:					Union[str, Any]   =       get_sqrt_alpha_prod(__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__						)
			snake_case_				:					List[Any]   =       sqrt_alpha_prod * original_samples + sqrt_one_minus_alpha_prod * noise
			return noisy_samples






def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__						)->    Union[str, Any]:



			"""simple docstring"""



			snake_case_,	snake_case_				:					Tuple   =       get_sqrt_alpha_prod(__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__						)
			snake_case_				:					Optional[Any]   =       sqrt_alpha_prod * noise - sqrt_one_minus_alpha_prod * sample
			return velocity












'''simple docstring'''




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async

def 	__UpperCAmelCase       ( __magic_name__=None						)->    List[str]:



			"""simple docstring"""



			if subparsers is not None:
						snake_case_				:					List[str]   =       subparsers.add_parser("test"						)
			else:
						snake_case_				:					List[Any]   =       argparse.ArgumentParser("Accelerate test command"						)

			parser.add_argument(
			    "--config_file"     ,default=__magic_name__     ,help=(
			        "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
			        "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
			        "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
			        "with 'huggingface'."
			    )     ,)

			if subparsers is not None:
						parser.set_defaults(func=__magic_name__						)
			return parser

def 	__UpperCAmelCase       ( __magic_name__						)->    Tuple:



			"""simple docstring"""



			snake_case_				:					Optional[Any]   =       os.path.sep.join(__file__.split(os.path.sep						)[:-2] + ["test_utils", "scripts", "test_script.py"]						)

			if args.config_file is None:
						snake_case_				:					str   =       script_name
			else:
						snake_case_				:					Any   =       F'''--config_file={args.config_file} {script_name}'''

			snake_case_				:					Union[str, Any]   =       ["accelerate-launch"] + test_args.split()
			snake_case_				:					Optional[int]   =       execute_subprocess_async(__magic_name__     ,env=os.environ.copy()						)
			if result.returncode == 0:
						print("Test is a success! You are ready for your distributed training!"						)

def 	__UpperCAmelCase       ( )->    int:



			"""simple docstring"""



			snake_case_				:					Dict   =       test_command_parser()
			snake_case_				:					Dict   =       parser.parse_args()
			test_command(__magic_name__						)


if __name__ == "__main__":
		main()




