
# 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.

from pathlib import Path

import torch

from ...utils import is_npu_available, is_xpu_available
from .config_args import ClusterConfig, default_json_config_file
from .config_utils import SubcommandHelpFormatter


lowerCamelCase_						: Optional[Any]         =  """Create a default config file for Accelerate with only a few flags set."""







def        A__					(						lowerCamelCase="no"     ,    lowerCamelCase = default_json_config_file     ,    lowerCamelCase = False						)  ->	Union[str, Any]:
				UpperCamelCase_:							Any	=						Path(lowerCamelCase						)
				path.parent.mkdir(parents=lowerCamelCase     ,    exist_ok=lowerCamelCase						)
				if path.exists():
								print(
								    F'''Configuration already exists at {save_location}, will not override. Run `accelerate config` manually or pass a different `save_location`.'''						)
								return False
				UpperCamelCase_:							int	=						mixed_precision.lower()
				if mixed_precision not in ["no", "fp16", "bf16", "fp8"]:
								raise ValueError(
								    F'''`mixed_precision` should be one of \'no\', \'fp16\', \'bf16\', or \'fp8\'. Received {mixed_precision}'''						)
				UpperCamelCase_:							int	=						{
				    """compute_environment""": """LOCAL_MACHINE""",
				    """mixed_precision""": mixed_precision,
				}
				if torch.cuda.is_available():
								UpperCamelCase_:							Dict	=						torch.cuda.device_count()
								UpperCamelCase_:							Any	=						num_gpus
								UpperCamelCase_:							List[Any]	=						False
								if num_gpus > 1:
												UpperCamelCase_:							List[Any]	=						"""MULTI_GPU"""
								else:
												UpperCamelCase_:							Tuple	=						"""NO"""
				elif is_xpu_available() and use_xpu:
								UpperCamelCase_:							Union[str, Any]	=						torch.xpu.device_count()
								UpperCamelCase_:							Dict	=						num_xpus
								UpperCamelCase_:							List[str]	=						False
								if num_xpus > 1:
												UpperCamelCase_:							int	=						"""MULTI_XPU"""
								else:
												UpperCamelCase_:							Optional[Any]	=						"""NO"""
				elif is_npu_available():
								UpperCamelCase_:							List[str]	=						torch.npu.device_count()
								UpperCamelCase_:							List[str]	=						num_npus
								UpperCamelCase_:							Tuple	=						False
								if num_npus > 1:
												UpperCamelCase_:							Union[str, Any]	=						"""MULTI_NPU"""
								else:
												UpperCamelCase_:							Union[str, Any]	=						"""NO"""
				else:
								UpperCamelCase_:							str	=						0
								UpperCamelCase_:							Dict	=						True
								UpperCamelCase_:							str	=						1
								UpperCamelCase_:							Dict	=						"""NO"""
				UpperCamelCase_:							Union[str, Any]	=						ClusterConfig(**lowerCamelCase						)
				config.to_json_file(lowerCamelCase						)
				return path







def        A__					(						lowerCamelCase     ,    lowerCamelCase						)  ->	int:
				UpperCamelCase_:							Optional[Any]	=						parser.add_parser("""default"""     ,    parents=lowerCamelCase     ,    help=lowerCamelCase     ,    formatter_class=lowerCamelCase						)
				parser.add_argument(
				    """--config_file"""     ,    default=lowerCamelCase     ,    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'."""
				    )     ,    dest="""save_location"""     ,    )

				parser.add_argument(
				    """--mixed_precision"""     ,    choices=["""no""", """fp16""", """bf16"""]     ,    type=lowerCamelCase     ,    help="""Whether or not to use mixed precision training. """
				    """Choose between FP16 and BF16 (bfloat16) training. """
				    """BF16 training is only supported on Nvidia Ampere GPUs and PyTorch 1.10 or later."""     ,    default="""no"""     ,    )
				parser.set_defaults(func=lowerCamelCase						)
				return parser







def        A__					(						lowerCamelCase						)  ->	Any:
				UpperCamelCase_:							Union[str, Any]	=						write_basic_config(args.mixed_precision     ,    args.save_location						)
				if config_file:
								print(F'''accelerate configuration saved at {config_file}'''						)








class        _UpperCamelCase				:






			'''simple docstring'''

			def __init__(       self :       List[str]						,	snake_case_ :       int						,	snake_case_ :       Optional[Any]=None						,	snake_case_ :       List[str]=None      ):
							UpperCamelCase_:							List[Any]	=						data
							UpperCamelCase_:							List[Any]	=						previous
							UpperCamelCase_:							Tuple	=						next_node

			def __str__(       self :       Dict      ):
							return f'''{self.data}'''

			def       lowerCAmelCase__	(       self :       List[str]      ):
							return self.data

			def       lowerCAmelCase__	(       self :       Any      ):
							return self.next




			def       lowerCAmelCase__	(       self :       List[str]      ):
							return self.previous




class        _UpperCamelCase				:






			'''simple docstring'''

			def __init__(       self :       Optional[Any]						,	snake_case_ :       int      ):
							UpperCamelCase_:							Union[str, Any]	=						head

			def __iter__(       self :       Union[str, Any]      ):
							return self




			def       lowerCAmelCase__	(       self :       Union[str, Any]      ):
							if not self.current:
											raise StopIteration
							else:
											UpperCamelCase_:							Dict	=						self.current.get_data()
											UpperCamelCase_:							Tuple	=						self.current.get_next()
											return value




class        _UpperCamelCase				:






			'''simple docstring'''

			def __init__(       self :       int      ):
							UpperCamelCase_:							Optional[int]	=						None  # First node in list
							UpperCamelCase_:							Dict	=						None  # Last node in list

			def __str__(       self :       Tuple      ):
							UpperCamelCase_:							int	=						self.head
							UpperCamelCase_:							Tuple	=						[]
							while current is not None:
											nodes.append(current.get_data()      )
											UpperCamelCase_:							List[str]	=						current.get_next()
							return " ".join(str(snake_case_      ) for node in nodes      )

			def __contains__(       self :       int						,	snake_case_ :       int      ):
							UpperCamelCase_:							Optional[Any]	=						self.head
							while current:
											if current.get_data() == value:
															return True
											UpperCamelCase_:							Any	=						current.get_next()
							return False

			def __iter__(       self :       Any      ):
							return LinkedListIterator(self.head      )

			def       lowerCAmelCase__	(       self :       Tuple      ):
							if self.head:
											return self.head.get_data()
							return None

			def       lowerCAmelCase__	(       self :       Optional[Any]      ):
							if self.tail:
											return self.tail.get_data()
							return None

			def       lowerCAmelCase__	(       self :       Optional[int]						,	snake_case_ :       Node      ):
							if self.head is None:
											UpperCamelCase_:							Tuple	=						node
											UpperCamelCase_:							Optional[int]	=						node
							else:
											self.insert_before_node(self.head						,	snake_case_      )

			def       lowerCAmelCase__	(       self :       Optional[Any]						,	snake_case_ :       Node      ):
							if self.head is None:
											self.set_head(snake_case_      )
							else:
											self.insert_after_node(self.tail						,	snake_case_      )

			def       lowerCAmelCase__	(       self :       List[Any]						,	snake_case_ :       int      ):
							UpperCamelCase_:							Any	=						Node(snake_case_      )
							if self.head is None:
											self.set_head(snake_case_      )
							else:
											self.set_tail(snake_case_      )

			def       lowerCAmelCase__	(       self :       Optional[Any]						,	snake_case_ :       Node						,	snake_case_ :       Node      ):
							UpperCamelCase_:							str	=						node
							UpperCamelCase_:							int	=						node.previous

							if node.get_previous() is None:
											UpperCamelCase_:							int	=						node_to_insert
							else:
											UpperCamelCase_:							Dict	=						node_to_insert

							UpperCamelCase_:							int	=						node_to_insert

			def       lowerCAmelCase__	(       self :       Dict						,	snake_case_ :       Node						,	snake_case_ :       Node      ):
							UpperCamelCase_:							Tuple	=						node
							UpperCamelCase_:							Dict	=						node.next

							if node.get_next() is None:
											UpperCamelCase_:							Union[str, Any]	=						node_to_insert
							else:
											UpperCamelCase_:							str	=						node_to_insert

							UpperCamelCase_:							int	=						node_to_insert

			def       lowerCAmelCase__	(       self :       Tuple						,	snake_case_ :       int						,	snake_case_ :       int      ):
							UpperCamelCase_:							Union[str, Any]	=						1
							UpperCamelCase_:							List[str]	=						Node(snake_case_      )
							UpperCamelCase_:							Optional[Any]	=						self.head
							while node:
											if current_position == position:
															self.insert_before_node(snake_case_						,	snake_case_      )
															return
											current_position += 1
											UpperCamelCase_:							Dict	=						node.next
							self.insert_after_node(self.tail						,	snake_case_      )

			def       lowerCAmelCase__	(       self :       int						,	snake_case_ :       int      ):
							UpperCamelCase_:							Union[str, Any]	=						self.head
							while node:
											if node.get_data() == item:
															return node
											UpperCamelCase_:							List[Any]	=						node.get_next()
							raise Exception("""Node not found"""      )

			def       lowerCAmelCase__	(       self :       List[Any]						,	snake_case_ :       List[str]      ):
							if (node := self.get_node(snake_case_      )) is not None:
											if node == self.head:
															UpperCamelCase_:							Optional[int]	=						self.head.get_next()

											if node == self.tail:
															UpperCamelCase_:							Union[str, Any]	=						self.tail.get_previous()

											self.remove_node_pointers(snake_case_      )

			@staticmethod
			def       lowerCAmelCase__	(       snake_case_ :       Node      ):
							if node.get_next():
											UpperCamelCase_:							str	=						node.previous

							if node.get_previous():
											UpperCamelCase_:							int	=						node.next

							UpperCamelCase_:							List[str]	=						None
							UpperCamelCase_:							int	=						None




			def       lowerCAmelCase__	(       self :       str      ):
							return self.head is None







def        A__					(						)  ->	None:
				pass


if __name__ == "__main__":
							import doctest

							doctest.testmod()






