




"""simple docstring"""



from __future__ import annotations

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE    =	TypeVar("T")




class      UpperCAmelCase_  (						Generic[T]							):




    def __init__(   self						:	Tuple     ,			snake_case_						:	str				)				->							None:




     '''simple docstring'''

     A__	=    data
     A__	=    self
     A__	=    0






class      UpperCAmelCase_  (						Generic[T]							):




    def __init__(   self						:	Optional[Any]				)				->							None:




     '''simple docstring'''

     A__	=    {}




    def 							__magic_name__							(   self						:	Optional[int]     ,			snake_case_						:	List[str]				)				->							None:




     '''simple docstring'''

     A__	=    DisjointSetTreeNode(a__				)




    def 							__magic_name__							(   self						:	Tuple     ,			snake_case_						:	Optional[int]				)				->							DisjointSetTreeNode[T]:




     '''simple docstring'''

     A__	=    self.map[data]
     if elem_ref != elem_ref.parent:
      A__	=    self.find_set(elem_ref.parent.data				)
     return elem_ref.parent




    def 							__magic_name__							(   self						:	Any     ,			snake_case_						:	List[str]     ,			snake_case_						:	int				)				->							None:




     '''simple docstring'''

     if nodea.rank > nodea.rank:
      A__	=    nodea
     else:
      A__	=    nodea
      if nodea.rank == nodea.rank:
       nodea.rank += 1




    def 							__magic_name__							(   self						:	Optional[Any]     ,			snake_case_						:	Tuple     ,			snake_case_						:	int				)				->							None:




     '''simple docstring'''

     self.link(self.find_set(a__				)     ,			self.find_set(a__				)				)






class      UpperCAmelCase_  (						Generic[T]							):




    def __init__(   self						:	Union[str, Any]				)				->							None:




     '''simple docstring'''

     A__	=    {}




    def 							__magic_name__							(   self						:	List[Any]     ,			snake_case_						:	Dict				)				->							None:




     '''simple docstring'''

     if node not in self.connections:
      A__	=    {}




    def 							__magic_name__							(   self						:	str     ,			snake_case_						:	Dict     ,			snake_case_						:	int     ,			snake_case_						:	Union[str, Any]				)				->							None:




     '''simple docstring'''

     self.add_node(a__				)
     self.add_node(a__				)
     A__	=    weight
     A__	=    weight




    def 							__magic_name__							(   self						:	List[str]				)				->							GraphUndirectedWeighted[T]:




     '''simple docstring'''

     A__	=    []
     A__	=    set()
     for start in self.connections:
      for end in self.connections[start]:
       if (start, end) not in seen:
        seen.add((end, start)				)
        edges.append((start, end, self.connections[start][end])				)
     edges.sort(key=lambda snake_case_				: x[2]				)

     # creating the disjoint set
     A__	=    DisjointSetTree[T]()
     for node in self.connections:
      disjoint_set.make_set(a__				)

     # MST generation
     A__	=    0
     A__	=    0
     A__	=    GraphUndirectedWeighted[T]()
     while num_edges < len(self.connections				) - 1:
      A__,				A__,				A__	=    edges[index]
      index += 1
      A__	=    disjoint_set.find_set(a__				)
      A__	=    disjoint_set.find_set(a__				)
      if parent_u != parent_v:
       num_edges += 1
       graph.add_edge(a__     ,			a__     ,			a__				)
       disjoint_set.union(a__     ,			a__				)
     return graph






"""simple docstring"""



# Copyright 2022 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
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available







def   _SCREAMING_SNAKE_CASE       (							lowercase_=None						)						->		Any:
 if subparsers is not None:
  A__	=    subparsers.add_parser("env"						)
 else:
  A__	=    argparse.ArgumentParser("Accelerate env command"						)

 parser.add_argument(
     "--config_file"      ,			default=lowercase_      ,			help="The config file to use for the default values in the launching script."						)

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







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Dict:
 A__	=    torch.__version__
 A__	=    torch.cuda.is_available()
 A__	=    is_xpu_available()
 A__	=    is_npu_available()

 A__	=    "Not found"
 # Get the default from the config file.
 if args.config_file is not None or os.path.isfile(lowercase_						):
  A__	=    load_config_from_file(args.config_file						).to_dict()

 A__	=    {
     "`Accelerate` version": version,
     "Platform": platform.platform(),
     "Python version": platform.python_version(),
     "Numpy version": np.__version__,
     "PyTorch version (GPU?)": f"""{pt_version} ({pt_cuda_available})""",
     "PyTorch XPU available": str(lowercase_						),
     "PyTorch NPU available": str(lowercase_						),
     "System RAM": f"""{psutil.virtual_memory().total / 10_24 ** 3:.2f} GB""",
 }
 if pt_cuda_available:
  A__	=    torch.cuda.get_device_name()

 print("\nCopy-and-paste the text below in your GitHub issue\n"						)
 print("\n".join([f"""- {prop}: {val}""" for prop, val in info.items()]						)						)

 print("- `Accelerate` default config:" if args.config_file is None else "- `Accelerate` config passed:"						)
 A__	=    (
     "\n".join([f"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]						)
     if isinstance(lowercase_      ,			lowercase_						)
     else f"""\t{accelerate_config}"""
 )
 print(lowercase_						)

 A__	=    accelerate_config

 return info







def   _SCREAMING_SNAKE_CASE       (							)						->		int:
 A__	=    env_command_parser()
 A__	=    parser.parse_args()
 env_command(lowercase_						)
 return 0


if __name__ == "__main__":
      raise SystemExit(main())





