




import copy
from typing import Dict

from ...generation.configuration_utils import GenerationConfig
from ...utils import logging


lowercase_     :    Any      =			logging.get_logger(__name__)






class    __lowerCAmelCase			(	UpperCAmelCase__			):
			snake_case_				:			Any								=					"semantic"







			def __init__(	self   :      str   ,   snake_case__   :      Dict=10_000   ,   snake_case__   :      Tuple=True   ,   snake_case__   :      Optional[Any]=768   ,   snake_case__   :      Any=False   ,   snake_case__   :      Union[str, Any]=False   ,   snake_case__   :      Optional[Any]=False   ,   snake_case__   :      int=False   ,   snake_case__   :      List[Any]=0.7   ,   snake_case__   :      Tuple=True   ,   snake_case__   :      Any=10_048   ,   snake_case__   :      Tuple=129_595   ,   snake_case__   :      Dict=129_599   ,   snake_case__   :      str=10_000   ,   snake_case__   :      Any=256   ,   snake_case__   :      Optional[int]=49.9   ,   **snake_case__   :      Any   ,   ):




									"""simple docstring"""


									super().__init__(
									    temperature=snake_case__   ,   do_sample=snake_case__   ,   eos_token_id=snake_case__   ,   renormalize_logits=snake_case__   ,   max_new_tokens=snake_case__   ,   output_scores=snake_case__   ,   return_dict_in_generate=snake_case__   ,   output_hidden_states=snake_case__   ,   output_attentions=snake_case__   ,   **snake_case__   ,   )

									_UpperCAmelCase													=					text_encoding_offset
									_UpperCAmelCase													=					text_pad_token
									_UpperCAmelCase													=					eos_token_id
									_UpperCAmelCase													=					semantic_infer_token
									_UpperCAmelCase													=					semantic_vocab_size
									_UpperCAmelCase													=					max_input_semantic_length
									_UpperCAmelCase													=					semantic_rate_hz






class    __lowerCAmelCase			(	UpperCAmelCase__			):
			snake_case_				:			int								=					"coarse_acoustics"







			def __init__(	self   :      Union[str, Any]   ,   snake_case__   :      List[Any]=True   ,   snake_case__   :      str=False   ,   snake_case__   :      List[Any]=False   ,   snake_case__   :      Optional[int]=False   ,   snake_case__   :      Optional[int]=False   ,   snake_case__   :      Optional[Any]=0.7   ,   snake_case__   :      Any=True   ,   snake_case__   :      str=12_048   ,   snake_case__   :      Union[str, Any]=75   ,   snake_case__   :      Any=2   ,   snake_case__   :      Tuple=12_050   ,   snake_case__   :      int=256   ,   snake_case__   :      int = 630   ,   snake_case__   :      int = 60   ,   **snake_case__   :      Dict   ,   ):




									"""simple docstring"""


									super().__init__(
									    temperature=snake_case__   ,   do_sample=snake_case__   ,   renormalize_logits=snake_case__   ,   output_scores=snake_case__   ,   return_dict_in_generate=snake_case__   ,   output_hidden_states=snake_case__   ,   output_attentions=snake_case__   ,   **snake_case__   ,   )

									_UpperCAmelCase													=					coarse_semantic_pad_token
									_UpperCAmelCase													=					coarse_rate_hz
									_UpperCAmelCase													=					n_coarse_codebooks
									_UpperCAmelCase													=					coarse_infer_token
									_UpperCAmelCase													=					max_coarse_input_length
									_UpperCAmelCase													=					max_coarse_history
									_UpperCAmelCase													=					sliding_window_len






class    __lowerCAmelCase			(	UpperCAmelCase__			):
			snake_case_				:			Any								=					"fine_acoustics"







			def __init__(	self   :      Tuple   ,   snake_case__   :      str=0.5   ,   snake_case__   :      List[str]=512   ,   snake_case__   :      Tuple=1_024   ,   snake_case__   :      Dict=8   ,   **snake_case__   :      int   ,   ):




									"""simple docstring"""


									super().__init__(temperature=snake_case__				)

									_UpperCAmelCase													=					max_fine_history_length
									_UpperCAmelCase													=					max_fine_input_length
									_UpperCAmelCase													=					n_fine_codebooks






class    __lowerCAmelCase			(	UpperCAmelCase__			):
			snake_case_				:			List[str]								=					"bark"
			snake_case_				:			Union[str, Any]								=					True







			def __init__(	self   :      Optional[int]   ,   snake_case__   :      Dict = None   ,   snake_case__   :      Dict = None   ,   snake_case__   :      Dict = None   ,   snake_case__   :      Dict=24_000   ,   snake_case__   :      str=1_024   ,   **snake_case__   :      Optional[int]   ,   ):




									"""simple docstring"""


									if semantic_config is None:
															_UpperCAmelCase													=					{}
															logger.info("semantic_config is None. initializing the semantic model with default values."				)

									if coarse_acoustics_config is None:
															_UpperCAmelCase													=					{}
															logger.info("coarse_acoustics_config is None. initializing the coarse model with default values."				)

									if fine_acoustics_config is None:
															_UpperCAmelCase													=					{}
															logger.info("fine_acoustics_config is None. initializing the fine model with default values."				)

									_UpperCAmelCase													=					BarkSemanticGenerationConfig(**snake_case__				)
									_UpperCAmelCase													=					BarkCoarseGenerationConfig(**snake_case__				)
									_UpperCAmelCase													=					BarkFineGenerationConfig(**snake_case__				)

									_UpperCAmelCase													=					sample_rate
									_UpperCAmelCase													=					codebook_size







			@classmethod
			def UpperCamelCase      (	cls   :      str   ,   snake_case__   :      BarkSemanticGenerationConfig   ,   snake_case__   :      BarkCoarseGenerationConfig   ,   snake_case__   :      BarkFineGenerationConfig   ,   **snake_case__   :      Dict   ,   ):




									"""simple docstring"""


									return cls(
									    semantic_config=semantic_config.to_dict()   ,   coarse_acoustics_config=coarse_acoustics_config.to_dict()   ,   fine_acoustics_config=fine_acoustics_config.to_dict()   ,   **snake_case__   ,   )







			def UpperCamelCase      (	self   :      Dict				):




									"""simple docstring"""


									_UpperCAmelCase													=					copy.deepcopy(self.__dict__				)

									_UpperCAmelCase													=					self.semantic_config.to_dict()
									_UpperCAmelCase													=					self.coarse_acoustics_config.to_dict()
									_UpperCAmelCase													=					self.fine_acoustics_config.to_dict()

									_UpperCAmelCase													=					self.__class__.model_type
									return output










# 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 json
import os
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import yaml

from ...utils import ComputeEnvironment, DistributedType, SageMakerDistributedType
from ...utils.constants import SAGEMAKER_PYTHON_VERSION, SAGEMAKER_PYTORCH_VERSION, SAGEMAKER_TRANSFORMERS_VERSION


lowercase_     :    List[Any]      =			os.path.expanduser(
    os.getenv('HF_HOME', os.path.join(os.getenv('XDG_CACHE_HOME', '~/.cache'), 'huggingface'))
)
lowercase_     :    Optional[int]      =			os.path.join(hf_cache_home, 'accelerate')
lowercase_     :    int      =			os.path.join(cache_dir, 'default_config.yaml')
lowercase_     :    int      =			os.path.join(cache_dir, 'default_config.yaml')

# For backward compatibility: the default config is the json one if it's the only existing file.
if os.path.isfile(default_yaml_config_file) or not os.path.isfile(default_json_config_file):
				lowercase_     :    List[str]      =			default_yaml_config_file
else:
				lowercase_     :    Optional[Any]      =			default_json_config_file


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						if config_file is not None:
												if not os.path.isfile(snake_case_						):
																		raise FileNotFoundError(
																		    f"""The passed configuration file `{config_file}` does not exist. """
																		    "Please pass an existing file to `accelerate launch`, or use the the default one "
																		    "created through `accelerate config` and run `accelerate launch` "
																		    "without the `--config_file` argument."						)
						else:
												_UpperCAmelCase													=					default_config_file
						with open(snake_case_     ,   "r"     ,   encoding="utf-8"						) as f:
												if config_file.endswith(".json"						):
																		if (
																		    json.load(snake_case_						).get("compute_environment"     ,   ComputeEnvironment.LOCAL_MACHINE						)
																		    == ComputeEnvironment.LOCAL_MACHINE
																		):
																								_UpperCAmelCase													=					ClusterConfig
																		else:
																								_UpperCAmelCase													=					SageMakerConfig
																		return config_class.from_json_file(json_file=snake_case_						)
												else:
																		if (
																		    yaml.safe_load(snake_case_						).get("compute_environment"     ,   ComputeEnvironment.LOCAL_MACHINE						)
																		    == ComputeEnvironment.LOCAL_MACHINE
																		):
																								_UpperCAmelCase													=					ClusterConfig
																		else:
																								_UpperCAmelCase													=					SageMakerConfig
																		return config_class.from_yaml_file(yaml_file=snake_case_						)






@dataclass
class    __lowerCAmelCase			:
			snake_case_				:			ComputeEnvironment
			snake_case_				:			Union[DistributedType, SageMakerDistributedType]
			snake_case_				:			str
			snake_case_				:			bool







			def UpperCamelCase      (	self   :      int				):




									"""simple docstring"""


									_UpperCAmelCase													=					self.__dict__
									# For serialization, it's best to convert Enums to strings (or their underlying value type).
									for key, value in result.items():
															if isinstance(snake_case__   ,   snake_case__				):
																					_UpperCAmelCase													=					value.value
															if isinstance(snake_case__   ,   snake_case__				) and not bool(snake_case__				):
																					_UpperCAmelCase													=					None
									_UpperCAmelCase													=					{k: v for k, v in result.items() if v is not None}
									return result







			@classmethod
			def UpperCamelCase      (	cls   :      Optional[Any]   ,   snake_case__   :      Optional[Any]=None				):




									"""simple docstring"""


									_UpperCAmelCase													=					default_json_config_file if json_file is None else json_file
									with open(snake_case__   ,   "r"   ,   encoding="utf-8"				) as f:
															_UpperCAmelCase													=					json.load(snake_case__				)
									if "compute_environment" not in config_dict:
															_UpperCAmelCase													=					ComputeEnvironment.LOCAL_MACHINE
									if "mixed_precision" not in config_dict:
															_UpperCAmelCase													=					"fp16" if ("fp16" in config_dict and config_dict["fp16"]) else None
									if "fp16" in config_dict:  # Convert the config to the new format.
															del config_dict["fp16"]
									if "dynamo_backend" in config_dict:  # Convert the config to the new format.
															_UpperCAmelCase													=					config_dict.pop("dynamo_backend"				)
															_UpperCAmelCase													=					{} if dynamo_backend == "NO" else {"dynamo_backend": dynamo_backend}
									if "use_cpu" not in config_dict:
															_UpperCAmelCase													=					False
									return cls(**snake_case__				)







			def UpperCamelCase      (	self   :      Optional[Any]   ,   snake_case__   :      Tuple				):




									"""simple docstring"""


									with open(snake_case__   ,   "w"   ,   encoding="utf-8"				) as f:
															_UpperCAmelCase													=					json.dumps(self.to_dict()   ,   indent=2   ,   sort_keys=snake_case__				) + "\n"
															f.write(snake_case__				)







			@classmethod
			def UpperCamelCase      (	cls   :      Union[str, Any]   ,   snake_case__   :      List[str]=None				):




									"""simple docstring"""


									_UpperCAmelCase													=					default_yaml_config_file if yaml_file is None else yaml_file
									with open(snake_case__   ,   "r"   ,   encoding="utf-8"				) as f:
															_UpperCAmelCase													=					yaml.safe_load(snake_case__				)
									if "compute_environment" not in config_dict:
															_UpperCAmelCase													=					ComputeEnvironment.LOCAL_MACHINE

									if "mixed_precision" not in config_dict:
															_UpperCAmelCase													=					"fp16" if ("fp16" in config_dict and config_dict["fp16"]) else None
									if isinstance(config_dict["mixed_precision"]   ,   snake_case__				) and not config_dict["mixed_precision"]:
															_UpperCAmelCase													=					"no"
									if "fp16" in config_dict:  # Convert the config to the new format.
															del config_dict["fp16"]
									if "dynamo_backend" in config_dict:  # Convert the config to the new format.
															_UpperCAmelCase													=					config_dict.pop("dynamo_backend"				)
															_UpperCAmelCase													=					{} if dynamo_backend == "NO" else {"dynamo_backend": dynamo_backend}
									if "use_cpu" not in config_dict:
															_UpperCAmelCase													=					False
									return cls(**snake_case__				)







			def UpperCamelCase      (	self   :      List[str]   ,   snake_case__   :      Dict				):




									"""simple docstring"""


									with open(snake_case__   ,   "w"   ,   encoding="utf-8"				) as f:
															yaml.safe_dump(self.to_dict()   ,   snake_case__				)







			def UpperCamelCase      (	self   :      Tuple				):




									"""simple docstring"""


									if isinstance(self.compute_environment   ,   snake_case__				):
															_UpperCAmelCase													=					ComputeEnvironment(self.compute_environment				)
									if isinstance(self.distributed_type   ,   snake_case__				):
															if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
																					_UpperCAmelCase													=					SageMakerDistributedType(self.distributed_type				)
															else:
																					_UpperCAmelCase													=					DistributedType(self.distributed_type				)
									if self.dynamo_config is None:
															_UpperCAmelCase													=					{}






@dataclass
class    __lowerCAmelCase			(	UpperCAmelCase__			):
			snake_case_				:			int
			snake_case_				:			int								=					0
			snake_case_				:			int								=					1
			snake_case_				:			Optional[str]								=					None
			snake_case_				:			Optional[str]								=					None
			snake_case_				:			Optional[int]								=					None
			snake_case_				:			Optional[str]								=					"static"
			snake_case_				:			Optional[bool]								=					False
			snake_case_				:			str								=					"main"

			# args for deepspeed_plugin
			snake_case_				:			dict								=					None
			# args for fsdp
			snake_case_				:			dict								=					None
			# args for megatron_lm
			snake_case_				:			dict								=					None
			# args for ipex
			snake_case_				:			dict								=					None
			# args for TPU
			snake_case_				:			bool								=					False

			# args for TPU pods
			snake_case_				:			str								=					None
			snake_case_				:			str								=					None
			snake_case_				:			bool								=					False
			snake_case_				:			bool								=					False
			snake_case_				:			str								=					None
			snake_case_				:			List[str]								=					None
			snake_case_				:			List[str]								=					None
			snake_case_				:			List[str]								=					None

			# args for dynamo
			snake_case_				:			dict								=					None







			def UpperCamelCase      (	self   :      Optional[Any]				):




									"""simple docstring"""


									if self.deepspeed_config is None:
															_UpperCAmelCase													=					{}
									if self.fsdp_config is None:
															_UpperCAmelCase													=					{}
									if self.megatron_lm_config is None:
															_UpperCAmelCase													=					{}
									if self.ipex_config is None:
															_UpperCAmelCase													=					{}
									return super().__post_init__()






@dataclass
class    __lowerCAmelCase			(	UpperCAmelCase__			):
			snake_case_				:			str
			snake_case_				:			str
			snake_case_				:			Optional[str]								=					None
			snake_case_				:			Optional[str]								=					None
			snake_case_				:			str								=					"us-east-1"
			snake_case_				:			int								=					1
			snake_case_				:			str								=					"all"
			snake_case_				:			str								=					F"""accelerate-sagemaker-{num_machines}"""
			snake_case_				:			str								=					SAGEMAKER_PYTORCH_VERSION
			snake_case_				:			str								=					SAGEMAKER_TRANSFORMERS_VERSION
			snake_case_				:			str								=					SAGEMAKER_PYTHON_VERSION
			snake_case_				:			str								=					None
			snake_case_				:			str								=					None
			snake_case_				:			dict								=					None
			snake_case_				:			dict								=					None




