# 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


lowercase_     :   int 				=				'Run commands across TPU VMs for initial setup before running `accelerate launch`.'







def 			A__      (	snake_case_ :		Dict=None      ):
 if subparsers is not None:
  SCREAMING_SNAKE_CASE__:   int=      subparsers.add_parser('''tpu-config'''       ,				description=_description      )
 else:
  SCREAMING_SNAKE_CASE__:   Tuple=      argparse.ArgumentParser('''Accelerate tpu-config command'''       ,				description=_description      )
 # Core arguments
 SCREAMING_SNAKE_CASE__:   Optional[int]=      parser.add_argument_group(
     '''Config Arguments'''       ,				'''Arguments that can be configured through `accelerate config`.'''      )
 config_args.add_argument(
     '''--config_file'''       ,				type=snake_case_       ,				default=snake_case_       ,				help='''Path to the config file to use for accelerate.'''       ,				)
 config_args.add_argument(
     '''--tpu_name'''       ,				default=snake_case_       ,				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=snake_case_       ,				help='''The zone of the TPU to use. If not specified, will use the zone specified in the config file.'''       ,				)
 SCREAMING_SNAKE_CASE__:   Any=      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=snake_case_       ,				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=snake_case_      )
 return parser







def 			A__      (	snake_case_ :		List[str]      ):
 SCREAMING_SNAKE_CASE__:   Dict=      None

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

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

 # Then send it to gcloud
 # Eventually try to use google-api-core to do this instead of subprocess
 SCREAMING_SNAKE_CASE__:   int=      ['''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(snake_case_      )}'      )
  return
 subprocess.run(snake_case_      )
 print('''Successfully setup pod.'''      )







def 			A__      (	):
 SCREAMING_SNAKE_CASE__:   Union[str, Any]=      tpu_command_parser()
 SCREAMING_SNAKE_CASE__:   Tuple=      parser.parse_args()

 tpu_command_launcher(snake_case_      )


def 			A__      (	snake_case_ :		str      ):
 if not head:
  return True
 # split the list to two parts
 SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__:   Optional[int]=      head.next, head
 while fast and fast.next:
  SCREAMING_SNAKE_CASE__:   Dict=      fast.next.next
  SCREAMING_SNAKE_CASE__:   Union[str, Any]=      slow.next
 SCREAMING_SNAKE_CASE__:   Union[str, Any]=      slow.next
 SCREAMING_SNAKE_CASE__:   Union[str, Any]=      None  # Don't forget here! But forget still works!
 # reverse the second part
 SCREAMING_SNAKE_CASE__:   Optional[int]=      None
 while second:
  SCREAMING_SNAKE_CASE__:   Any=      second.next
  SCREAMING_SNAKE_CASE__:   int=      node
  SCREAMING_SNAKE_CASE__:   Optional[Any]=      second
  SCREAMING_SNAKE_CASE__:   Any=      nxt
 # compare two parts
 # second part has the same or one less node
 while node:
  if node.val != head.val:
   return False
  SCREAMING_SNAKE_CASE__:   Tuple=      node.next
  SCREAMING_SNAKE_CASE__:   Optional[int]=      head.next
 return True







def 			A__      (	snake_case_ :		Optional[Any]      ):
 if not head or not head.next:
  return True

 # 1. Get the midpoint (slow)
 SCREAMING_SNAKE_CASE__:   List[Any]=      head
 while fast and fast.next:
  SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__:   Any=      fast.next.next, slow.next

 # 2. Push the second half into the stack
 SCREAMING_SNAKE_CASE__:   Optional[Any]=      [slow.val]
 while slow.next:
  SCREAMING_SNAKE_CASE__:   Optional[int]=      slow.next
  stack.append(slow.val      )

 # 3. Comparison
 while stack:
  if stack.pop() != cur.val:
   return False
  SCREAMING_SNAKE_CASE__:   Tuple=      cur.next

 return True







def 			A__      (	snake_case_ :		Any      ):
 if not head or not head.next:
  return True
 SCREAMING_SNAKE_CASE__:   Optional[int]=      {}
 SCREAMING_SNAKE_CASE__:   Union[str, Any]=      0
 while head:
  if head.val in d:
   d[head.val].append(snake_case_      )
  else:
   SCREAMING_SNAKE_CASE__:   Optional[int]=      [pos]
  SCREAMING_SNAKE_CASE__:   Dict=      head.next
  pos += 1
 SCREAMING_SNAKE_CASE__:   Dict=      pos - 1
 SCREAMING_SNAKE_CASE__:   str=      0
 for v in d.values():
  if len(snake_case_      ) % 2 != 0:
   middle += 1
  else:
   SCREAMING_SNAKE_CASE__:   List[Any]=      0
   for i in range(0       ,				len(snake_case_      )      ):
    if v[i] + v[len(snake_case_      ) - 1 - step] != checksum:
     return False
    step += 1
  if middle > 1:
   return False
 return True

