'''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 subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


UpperCamelCase__     :	Optional[int]				=			'Run commands across TPU VMs for initial setup before running `accelerate launch`.'







def __UpperCamelCase(   _A					:				Tuple=None    ):
   '''simple docstring'''
   if subparsers is not None:
      UpperCAmelCase__							:				Union[str, Any]   				=  subparsers.add_parser('''tpu-config'''  ,			description=_description    )
   else:
      UpperCAmelCase__							:				str   				=  argparse.ArgumentParser('''Accelerate tpu-config command'''  ,			description=_description    )
   # Core arguments
   UpperCAmelCase__							:				str   				=  parser.add_argument_group(
       '''Config Arguments'''  ,			'''Arguments that can be configured through `accelerate config`.'''    )
   config_args.add_argument(
       '''--config_file'''  ,			type=_A  ,			default=_A  ,			help='''Path to the config file to use for accelerate.'''  ,			)
   config_args.add_argument(
       '''--tpu_name'''  ,			default=_A  ,			help='''The name of the TPU to use. If not specified, will use the TPU specified in the config file.'''  ,			)
   config_args.add_argument(
       '''--tpu_zone'''  ,			default=_A  ,			help='''The zone of the TPU to use. If not specified, will use the zone specified in the config file.'''  ,			)
   UpperCAmelCase__							:				Tuple   				=  parser.add_argument_group('''TPU Arguments'''  ,			'''Arguments for options ran inside the TPU.'''    )
   pod_args.add_argument(
       '''--use_alpha'''  ,			action='''store_true'''  ,			help='''Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'''  ,			)
   pod_args.add_argument(
       '''--command_file'''  ,			default=_A  ,			help='''The path to the file containing the commands to run on the pod on startup.'''  ,			)
   pod_args.add_argument(
       '''--command'''  ,			action='''append'''  ,			nargs='''+'''  ,			help='''A command to run on the pod. Can be passed multiple times.'''  ,			)
   pod_args.add_argument(
       '''--install_accelerate'''  ,			action='''store_true'''  ,			help='''Whether to install accelerate on the pod. Defaults to False.'''  ,			)
   pod_args.add_argument(
       '''--accelerate_version'''  ,			default='''latest'''  ,			help='''The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'''  ,			)
   pod_args.add_argument(
       '''--debug'''  ,			action='''store_true'''  ,			help='''If set, will print the command that would be run instead of running it.'''    )

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







def __UpperCamelCase(   _A					:				List[str]    ):
   '''simple docstring'''
   UpperCAmelCase__							:				str   				=  None

   # Get the default from the config file if it exists.
   if args.config_file is not None or os.path.isfile(_A    ):
      UpperCAmelCase__							:				str   				=  load_config_from_file(args.config_file    )
      if not args.command_file and defaults.command_file is not None and not args.command:
         UpperCAmelCase__							:				str   				=  defaults.command_file
      if not args.command and defaults.commands is not None:
         UpperCAmelCase__							:				Optional[Any]   				=  defaults.commands
      if not args.tpu_name:
         UpperCAmelCase__							:				str   				=  defaults.tpu_name
      if not args.tpu_zone:
         UpperCAmelCase__							:				List[Any]   				=  defaults.tpu_zone
   if args.accelerate_version == "dev":
      UpperCAmelCase__							:				List[str]   				=  '''git+https://github.com/huggingface/accelerate.git'''
   elif args.accelerate_version == "latest":
      UpperCAmelCase__							:				List[str]   				=  '''accelerate -U'''
   elif isinstance(parse(args.accelerate_version    )  ,			_A    ):
      UpperCAmelCase__							:				Any   				=  F'''accelerate=={args.accelerate_version}'''

   if not args.command_file and not args.command:
      raise ValueError('''You must specify either a command file or a command to run on the pod.'''    )

   if args.command_file:
      with open(args.command_file  ,			'''r'''    ) as f:
         UpperCAmelCase__							:				Optional[Any]   				=  [f.read().splitlines()]

    # To turn list of lists into list of strings
   if isinstance(args.command[0]  ,			_A    ):
      UpperCAmelCase__							:				List[Any]   				=  [line for cmd in args.command for line in cmd]
   # Default to the shared folder and install accelerate
   UpperCAmelCase__							:				List[str]   				=  ['''cd /usr/share''']
   if args.install_accelerate:
      new_cmd += [F'''pip install {args.accelerate_version}''']
   new_cmd += args.command
   UpperCAmelCase__							:				Tuple   				=  '''; '''.join(_A    )

   # Then send it to gcloud
   # Eventually try to use google-api-core to do this instead of subprocess
   UpperCAmelCase__							:				Optional[Any]   				=  ['''gcloud''']
   if args.use_alpha:
      cmd += ["alpha"]
   cmd += [
       "compute",
       "tpus",
       "tpu-vm",
       "ssh",
       args.tpu_name,
       "--zone",
       args.tpu_zone,
       "--command",
       args.command,
       "--worker",
       "all",
   ]
   if args.debug:
      print(F'''Running {' '.join(_A    )}'''    )
      return
   subprocess.run(_A    )
   print('''Successfully setup pod.'''    )







def __UpperCamelCase(   ):
   '''simple docstring'''
   UpperCAmelCase__							:				List[Any]   				=  tpu_command_parser()
   UpperCAmelCase__							:				Dict   				=  parser.parse_args()

   tpu_command_launcher(_A    )





'''simple docstring'''

from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

UpperCamelCase__     :	Tuple				=			TypeVar('T')


class 				_lowercase	(      Generic[T]   ):
      '''simple docstring'''


      UpperCAmelCase_      :      deque[T]  # Cache store of keys
      UpperCAmelCase_      :      set[T]  # References of the keys in cache
      UpperCAmelCase_      :      int      							=   10  # Maximum capacity of cache




      def __init__(				self					,lowerCamelCase_							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				Any   				=  deque()
         UpperCAmelCase__							:				Optional[int]   				=  set()
         if not n:
            UpperCAmelCase__							:				List[Any]   				=  sys.maxsize
         elif n < 0:
            raise ValueError('''n should be an integer greater than 0.'''							)
         else:
            UpperCAmelCase__							:				Any   				=  n




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			None:



         '''simple docstring'''



         if x not in self.key_reference:
            if len(self.dq_store							) == LRUCache._MAX_CAPACITY:
               UpperCAmelCase__							:				int   				=  self.dq_store.pop()
               self.key_reference.remove(lowerCamelCase_							)
         else:
            self.dq_store.remove(lowerCamelCase_							)

         self.dq_store.appendleft(lowerCamelCase_							)
         self.key_reference.add(lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self							)			->			None:



         '''simple docstring'''



         for k in self.dq_store:
            print(lowerCamelCase_							)




      def __repr__(				self							)			->			str:



         '''simple docstring'''



         return f'''LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store							)}'''


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  UpperCamelCase__     :	LRUCache[str | int]				=			LRUCache(4)
  lru_cache.refer('A')
  lru_cache.refer(2)
  lru_cache.refer(3)
  lru_cache.refer('A')
  lru_cache.refer(4)
  lru_cache.refer(5)
  lru_cache.display()

  print(lru_cache)
  assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"




