

'''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 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


lowerCAmelCase__      				=			os.path.expanduser(
    os.getenv("HF_HOME", os.path.join(os.getenv("XDG_CACHE_HOME", "~/.cache"), "huggingface"))
)
lowerCAmelCase__      				=			os.path.join(hf_cache_home, "accelerate")
lowerCAmelCase__      				=			os.path.join(cache_dir, "default_config.yaml")
lowerCAmelCase__      				=			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):
						lowerCAmelCase__      				=			default_yaml_config_file
else:
						lowerCAmelCase__      				=			default_json_config_file







def     SCREAMING_SNAKE_CASE(	UpperCamelCase	)     ->     Optional[int]:
	if config_file is not None:
		if not os.path.isfile(UpperCamelCase	):
			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_		:   Any													=       default_config_file
	with open(UpperCamelCase ,'r' ,encoding='utf-8'	) as f:
		if config_file.endswith('.json'	):
			if (
			    json.load(UpperCamelCase	).get('compute_environment' ,ComputeEnvironment.LOCAL_MACHINE	)
			    == ComputeEnvironment.LOCAL_MACHINE
			):
				UpperCAmelCase_		:   Optional[Any]													=       ClusterConfig
			else:
				UpperCAmelCase_		:   str													=       SageMakerConfig
			return config_class.from_json_file(json_file=UpperCamelCase	)
		else:
			if (
			    yaml.safe_load(UpperCamelCase	).get('compute_environment' ,ComputeEnvironment.LOCAL_MACHINE	)
			    == ComputeEnvironment.LOCAL_MACHINE
			):
				UpperCAmelCase_		:   Dict													=       ClusterConfig
			else:
				UpperCAmelCase_		:   Dict													=       SageMakerConfig
			return config_class.from_yaml_file(yaml_file=UpperCamelCase	)



@dataclass
class        lowercase    :
							_lowerCamelCase		:   ComputeEnvironment
							_lowerCamelCase		:   Union[DistributedType, SageMakerDistributedType]
							_lowerCamelCase		:   str
							_lowerCamelCase		:   bool


							def     _snake_case				(      self)				->					Optional[Any]:
								UpperCAmelCase_		:   str													=       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_		:   List[str]													=       value.value
									if isinstance(_snake_case     ,      _snake_case) and not bool(_snake_case):
										UpperCAmelCase_		:   List[str]													=       None
								UpperCAmelCase_		:   Optional[Any]													=       {k: v for k, v in result.items() if v is not None}
								return result


							@classmethod
							def     _snake_case				(      cls     ,      _snake_case=None)				->					Optional[int]:
								UpperCAmelCase_		:   Optional[int]													=       default_json_config_file if json_file is None else json_file
								with open(_snake_case     ,      'r'     ,      encoding='utf-8') as f:
									UpperCAmelCase_		:   List[Any]													=       json.load(_snake_case)
								if "compute_environment" not in config_dict:
									UpperCAmelCase_		:   int													=       ComputeEnvironment.LOCAL_MACHINE
								if "mixed_precision" not in config_dict:
									UpperCAmelCase_		:   Optional[Any]													=       '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_		:   Optional[int]													=       config_dict.pop('dynamo_backend')
									UpperCAmelCase_		:   Optional[Any]													=       {} if dynamo_backend == 'NO' else {'dynamo_backend': dynamo_backend}
								if "use_cpu" not in config_dict:
									UpperCAmelCase_		:   Union[str, Any]													=       False
								return cls(**_snake_case)


							def     _snake_case				(      self     ,      _snake_case)				->					List[str]:
								with open(_snake_case     ,      'w'     ,      encoding='utf-8') as f:
									UpperCAmelCase_		:   Optional[Any]													=       json.dumps(self.to_dict()     ,      indent=2     ,      sort_keys=_snake_case) + '\n'
									f.write(_snake_case)


							@classmethod
							def     _snake_case				(      cls     ,      _snake_case=None)				->					List[Any]:
								UpperCAmelCase_		:   Any													=       default_yaml_config_file if yaml_file is None else yaml_file
								with open(_snake_case     ,      'r'     ,      encoding='utf-8') as f:
									UpperCAmelCase_		:   int													=       yaml.safe_load(_snake_case)
								if "compute_environment" not in config_dict:
									UpperCAmelCase_		:   Tuple													=       ComputeEnvironment.LOCAL_MACHINE

								if "mixed_precision" not in config_dict:
									UpperCAmelCase_		:   Union[str, Any]													=       '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_		:   int													=       '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_		:   Dict													=       config_dict.pop('dynamo_backend')
									UpperCAmelCase_		:   Any													=       {} if dynamo_backend == 'NO' else {'dynamo_backend': dynamo_backend}
								if "use_cpu" not in config_dict:
									UpperCAmelCase_		:   Any													=       False
								return cls(**_snake_case)


							def     _snake_case				(      self     ,      _snake_case)				->					Tuple:
								with open(_snake_case     ,      'w'     ,      encoding='utf-8') as f:
									yaml.safe_dump(self.to_dict()     ,      _snake_case)





							def     _snake_case				(      self)				->					Union[str, Any]:
								if isinstance(self.compute_environment     ,      _snake_case):
									UpperCAmelCase_		:   Dict													=       ComputeEnvironment(self.compute_environment)
								if isinstance(self.distributed_type     ,      _snake_case):
									if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
										UpperCAmelCase_		:   List[Any]													=       SageMakerDistributedType(self.distributed_type)
									else:
										UpperCAmelCase_		:   Optional[int]													=       DistributedType(self.distributed_type)
								if self.dynamo_config is None:
									UpperCAmelCase_		:   Optional[Any]													=       {}



@dataclass
class        lowercase    (	a_			):
							_lowerCamelCase		:   int
							_lowerCamelCase		:   int= 0
							_lowerCamelCase		:   int= 1
							_lowerCamelCase		:   Optional[str]= None
							_lowerCamelCase		:   Optional[str]= None
							_lowerCamelCase		:   Optional[int]= None
							_lowerCamelCase		:   Optional[str]= "static"
							_lowerCamelCase		:   Optional[bool]= False
							_lowerCamelCase		:   str= "main"

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

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

							# args for dynamo
							_lowerCamelCase		:   dict= None


							def     _snake_case				(      self)				->					Any:
								if self.deepspeed_config is None:
									UpperCAmelCase_		:   int													=       {}
								if self.fsdp_config is None:
									UpperCAmelCase_		:   Union[str, Any]													=       {}
								if self.megatron_lm_config is None:
									UpperCAmelCase_		:   Dict													=       {}
								if self.ipex_config is None:
									UpperCAmelCase_		:   str													=       {}
								return super().__post_init__()



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









'''simple docstring'''


from __future__ import annotations







def     SCREAMING_SNAKE_CASE(	UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,UpperCamelCase	)     ->     int:

	# Base Case
	if counter == 0 or capacity == 0:
		return 0

	# If weight of the nth item is more than Knapsack of capacity,
	#   then this item cannot be included in the optimal solution,
	# else return the maximum of two cases:
	#   (1) nth item included
	#   (2) not included
	if weights[counter - 1] > capacity:
		return knapsack(UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,counter - 1	)
	else:
		UpperCAmelCase_		:   int													=       capacity - weights[counter - 1]
		UpperCAmelCase_		:   Optional[int]													=       values[counter - 1] + knapsack(
		    UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,counter - 1	)
		UpperCAmelCase_		:   Any													=       knapsack(UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,counter - 1	)
		return max(UpperCamelCase ,UpperCamelCase	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()






