



from collections import deque
from math import floor
from random import random
from time import time



class        lowerCAmelCase__					:


				def __init__(							self      :  List[str]       )		->     List[str]:
											A      						=    {}


				def __UpperCamelCase						(							self      :  Dict						, __UpperCamelCase      :  List[str]						, __UpperCamelCase      :  int						, __UpperCamelCase      :  Any=1       )		->     Dict:
											if self.graph.get(__UpperCamelCase       ):
																		if self.graph[u].count([w, v]       ) == 0:
																									self.graph[u].append([w, v]       )
											else:
																		A      						=    [[w, v]]
											if not self.graph.get(__UpperCamelCase       ):
																		A      						=    []


				def __UpperCamelCase						(							self      :  int       )		->     Any:
											return list(self.graph       )


				def __UpperCamelCase						(							self      :  str						, __UpperCamelCase      :  Dict						, __UpperCamelCase      :  Optional[int]       )		->     Dict:
											if self.graph.get(__UpperCamelCase       ):
																		for _ in self.graph[u]:
																									if _[1] == v:
																																self.graph[u].remove(__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  Optional[int]						, __UpperCamelCase      :  Dict=-2						, __UpperCamelCase      :  str=-1       )		->     int:
											if s == d:
																		return []
											A      						=    []
											A      						=    []
											if s == -2:
																		A      						=    list(self.graph       )[0]
											stack.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											A      						=    s

											while True:
																		# check if there is any non isolated nodes
																		if len(self.graph[s]       ) != 0:
																									A      						=    s
																									for node in self.graph[s]:
																																if visited.count(node[1]       ) < 1:
																																							if node[1] == d:
																																														visited.append(__UpperCamelCase       )
																																														return visited
																																							else:
																																														stack.append(node[1]       )
																																														visited.append(node[1]       )
																																														A      						=    node[1]
																																														break

            # check if all the children are visited
																		if s == ss:
																									stack.pop()
																									if len(__UpperCamelCase       ) != 0:
																																A      						=    stack[len(__UpperCamelCase       ) - 1]
																		else:
																									A      						=    ss

																		# check if se have reached the starting point
																		if len(__UpperCamelCase       ) == 0:
																									return visited


				def __UpperCamelCase						(							self      :  List[Any]						, __UpperCamelCase      :  List[Any]=-1       )		->     List[Any]:
											if c == -1:
																		A      						=    floor(random() * 10_000       ) + 10
											for i in range(__UpperCamelCase       ):
																		# every vertex has max 100 edges
																		for _ in range(floor(random() * 102       ) + 1       ):
																									A      						=    floor(random() * c       ) + 1
																									if n != i:
																																self.add_pair(__UpperCamelCase						, __UpperCamelCase						, 1       )


				def __UpperCamelCase						(							self      :  Optional[int]						, __UpperCamelCase      :  Dict=-2       )		->     Any:
											A      						=    deque()
											A      						=    []
											if s == -2:
																		A      						=    list(self.graph       )[0]
											d.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											while d:
																		A      						=    d.popleft()
																		if len(self.graph[s]       ) != 0:
																									for node in self.graph[s]:
																																if visited.count(node[1]       ) < 1:
																																							d.append(node[1]       )
																																							visited.append(node[1]       )
											return visited


				def __UpperCamelCase						(							self      :  Tuple						, __UpperCamelCase      :  int       )		->     str:
											A      						=    0
											for x in self.graph:
																		for y in self.graph[x]:
																									if y[1] == u:
																																count += 1
											return count


				def __UpperCamelCase						(							self      :  Optional[Any]						, __UpperCamelCase      :  List[Any]       )		->     Optional[Any]:
											return len(self.graph[u]       )


				def __UpperCamelCase						(							self      :  Any						, __UpperCamelCase      :  Optional[int]=-2       )		->     List[str]:
											A      						=    []
											A      						=    []
											if s == -2:
																		A      						=    list(self.graph       )[0]
											stack.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											A      						=    s
											A      						=    []

											while True:
																		# check if there is any non isolated nodes
																		if len(self.graph[s]       ) != 0:
																									A      						=    s
																									for node in self.graph[s]:
																																if visited.count(node[1]       ) < 1:
																																							stack.append(node[1]       )
																																							visited.append(node[1]       )
																																							A      						=    node[1]
																																							break

            # check if all the children are visited
																		if s == ss:
																									sorted_nodes.append(stack.pop()       )
																									if len(__UpperCamelCase       ) != 0:
																																A      						=    stack[len(__UpperCamelCase       ) - 1]
																		else:
																									A      						=    ss

																		# check if se have reached the starting point
																		if len(__UpperCamelCase       ) == 0:
																									return sorted_nodes


				def __UpperCamelCase						(							self      :  List[Any]       )		->     int:
											A      						=    []
											A      						=    []
											A      						=    list(self.graph       )[0]
											stack.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											A      						=    -2
											A      						=    []
											A      						=    s
											A      						=    False
											A      						=    set()

											while True:
																		# check if there is any non isolated nodes
																		if len(self.graph[s]       ) != 0:
																									A      						=    s
																									for node in self.graph[s]:
																																if (
																																    visited.count(node[1]       ) > 0
																																    and node[1] != parent
																																    and indirect_parents.count(node[1]       ) > 0
																																    and not on_the_way_back
																																):
																																							A      						=    len(__UpperCamelCase       ) - 1
																																							while len_stack >= 0:
																																														if stack[len_stack] == node[1]:
																																																					anticipating_nodes.add(node[1]       )
																																																					break
																																														else:
																																																					anticipating_nodes.add(stack[len_stack]       )
																																																					len_stack -= 1
																																if visited.count(node[1]       ) < 1:
																																							stack.append(node[1]       )
																																							visited.append(node[1]       )
																																							A      						=    node[1]
																																							break

            # check if all the children are visited
																		if s == ss:
																									stack.pop()
																									A      						=    True
																									if len(__UpperCamelCase       ) != 0:
																																A      						=    stack[len(__UpperCamelCase       ) - 1]
																		else:
																									A      						=    False
																									indirect_parents.append(__UpperCamelCase       )
																									A      						=    s
																									A      						=    ss

																		# check if se have reached the starting point
																		if len(__UpperCamelCase       ) == 0:
																									return list(__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  str       )		->     Optional[int]:
											A      						=    []
											A      						=    []
											A      						=    list(self.graph       )[0]
											stack.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											A      						=    -2
											A      						=    []
											A      						=    s
											A      						=    False
											A      						=    set()

											while True:
																		# check if there is any non isolated nodes
																		if len(self.graph[s]       ) != 0:
																									A      						=    s
																									for node in self.graph[s]:
																																if (
																																    visited.count(node[1]       ) > 0
																																    and node[1] != parent
																																    and indirect_parents.count(node[1]       ) > 0
																																    and not on_the_way_back
																																):
																																							A      						=    len(__UpperCamelCase       ) - 1
																																							while len_stack_minus_one >= 0:
																																														if stack[len_stack_minus_one] == node[1]:
																																																					anticipating_nodes.add(node[1]       )
																																																					break
																																														else:
																																																					return True
																																if visited.count(node[1]       ) < 1:
																																							stack.append(node[1]       )
																																							visited.append(node[1]       )
																																							A      						=    node[1]
																																							break

            # check if all the children are visited
																		if s == ss:
																									stack.pop()
																									A      						=    True
																									if len(__UpperCamelCase       ) != 0:
																																A      						=    stack[len(__UpperCamelCase       ) - 1]
																		else:
																									A      						=    False
																									indirect_parents.append(__UpperCamelCase       )
																									A      						=    s
																									A      						=    ss

																		# check if se have reached the starting point
																		if len(__UpperCamelCase       ) == 0:
																									return False


				def __UpperCamelCase						(							self      :  Tuple						, __UpperCamelCase      :  Tuple=-2						, __UpperCamelCase      :  Union[str, Any]=-1       )		->     Dict:
											A      						=    time()
											self.dfs(__UpperCamelCase						, __UpperCamelCase       )
											A      						=    time()
											return end - begin


				def __UpperCamelCase						(							self      :  Any						, __UpperCamelCase      :  List[str]=-2       )		->     Optional[int]:
											A      						=    time()
											self.bfs(__UpperCamelCase       )
											A      						=    time()
											return end - begin





class        lowerCAmelCase__					:


				def __init__(							self      :  int       )		->     Optional[int]:
											A      						=    {}


				def __UpperCamelCase						(							self      :  Any						, __UpperCamelCase      :  Optional[int]						, __UpperCamelCase      :  Dict						, __UpperCamelCase      :  Union[str, Any]=1       )		->     Any:
											# check if the u exists
											if self.graph.get(__UpperCamelCase       ):
																		# if there already is a edge
																		if self.graph[u].count([w, v]       ) == 0:
																									self.graph[u].append([w, v]       )
											else:
																		# if u does not exist
																		A      						=    [[w, v]]
											# add the other way
											if self.graph.get(__UpperCamelCase       ):
																		# if there already is a edge
																		if self.graph[v].count([w, u]       ) == 0:
																									self.graph[v].append([w, u]       )
											else:
																		# if u does not exist
																		A      						=    [[w, u]]


				def __UpperCamelCase						(							self      :  int						, __UpperCamelCase      :  Optional[int]						, __UpperCamelCase      :  Dict       )		->     Dict:
											if self.graph.get(__UpperCamelCase       ):
																		for _ in self.graph[u]:
																									if _[1] == v:
																																self.graph[u].remove(__UpperCamelCase       )
        # the other way round
											if self.graph.get(__UpperCamelCase       ):
																		for _ in self.graph[v]:
																									if _[1] == u:
																																self.graph[v].remove(__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  List[Any]						, __UpperCamelCase      :  Optional[Any]=-2						, __UpperCamelCase      :  List[str]=-1       )		->     Optional[int]:
											if s == d:
																		return []
											A      						=    []
											A      						=    []
											if s == -2:
																		A      						=    list(self.graph       )[0]
											stack.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											A      						=    s

											while True:
																		# check if there is any non isolated nodes
																		if len(self.graph[s]       ) != 0:
																									A      						=    s
																									for node in self.graph[s]:
																																if visited.count(node[1]       ) < 1:
																																							if node[1] == d:
																																														visited.append(__UpperCamelCase       )
																																														return visited
																																							else:
																																														stack.append(node[1]       )
																																														visited.append(node[1]       )
																																														A      						=    node[1]
																																														break

            # check if all the children are visited
																		if s == ss:
																									stack.pop()
																									if len(__UpperCamelCase       ) != 0:
																																A      						=    stack[len(__UpperCamelCase       ) - 1]
																		else:
																									A      						=    ss

																		# check if se have reached the starting point
																		if len(__UpperCamelCase       ) == 0:
																									return visited


				def __UpperCamelCase						(							self      :  int						, __UpperCamelCase      :  str=-1       )		->     Optional[Any]:
											if c == -1:
																		A      						=    floor(random() * 10_000       ) + 10
											for i in range(__UpperCamelCase       ):
																		# every vertex has max 100 edges
																		for _ in range(floor(random() * 102       ) + 1       ):
																									A      						=    floor(random() * c       ) + 1
																									if n != i:
																																self.add_pair(__UpperCamelCase						, __UpperCamelCase						, 1       )


				def __UpperCamelCase						(							self      :  int						, __UpperCamelCase      :  List[Any]=-2       )		->     int:
											A      						=    deque()
											A      						=    []
											if s == -2:
																		A      						=    list(self.graph       )[0]
											d.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											while d:
																		A      						=    d.popleft()
																		if len(self.graph[s]       ) != 0:
																									for node in self.graph[s]:
																																if visited.count(node[1]       ) < 1:
																																							d.append(node[1]       )
																																							visited.append(node[1]       )
											return visited


				def __UpperCamelCase						(							self      :  Optional[int]						, __UpperCamelCase      :  str       )		->     Optional[Any]:
											return len(self.graph[u]       )


				def __UpperCamelCase						(							self      :  Optional[int]       )		->     str:
											A      						=    []
											A      						=    []
											A      						=    list(self.graph       )[0]
											stack.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											A      						=    -2
											A      						=    []
											A      						=    s
											A      						=    False
											A      						=    set()

											while True:
																		# check if there is any non isolated nodes
																		if len(self.graph[s]       ) != 0:
																									A      						=    s
																									for node in self.graph[s]:
																																if (
																																    visited.count(node[1]       ) > 0
																																    and node[1] != parent
																																    and indirect_parents.count(node[1]       ) > 0
																																    and not on_the_way_back
																																):
																																							A      						=    len(__UpperCamelCase       ) - 1
																																							while len_stack >= 0:
																																														if stack[len_stack] == node[1]:
																																																					anticipating_nodes.add(node[1]       )
																																																					break
																																														else:
																																																					anticipating_nodes.add(stack[len_stack]       )
																																																					len_stack -= 1
																																if visited.count(node[1]       ) < 1:
																																							stack.append(node[1]       )
																																							visited.append(node[1]       )
																																							A      						=    node[1]
																																							break

            # check if all the children are visited
																		if s == ss:
																									stack.pop()
																									A      						=    True
																									if len(__UpperCamelCase       ) != 0:
																																A      						=    stack[len(__UpperCamelCase       ) - 1]
																		else:
																									A      						=    False
																									indirect_parents.append(__UpperCamelCase       )
																									A      						=    s
																									A      						=    ss

																		# check if se have reached the starting point
																		if len(__UpperCamelCase       ) == 0:
																									return list(__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  Optional[int]       )		->     Optional[int]:
											A      						=    []
											A      						=    []
											A      						=    list(self.graph       )[0]
											stack.append(__UpperCamelCase       )
											visited.append(__UpperCamelCase       )
											A      						=    -2
											A      						=    []
											A      						=    s
											A      						=    False
											A      						=    set()

											while True:
																		# check if there is any non isolated nodes
																		if len(self.graph[s]       ) != 0:
																									A      						=    s
																									for node in self.graph[s]:
																																if (
																																    visited.count(node[1]       ) > 0
																																    and node[1] != parent
																																    and indirect_parents.count(node[1]       ) > 0
																																    and not on_the_way_back
																																):
																																							A      						=    len(__UpperCamelCase       ) - 1
																																							while len_stack_minus_one >= 0:
																																														if stack[len_stack_minus_one] == node[1]:
																																																					anticipating_nodes.add(node[1]       )
																																																					break
																																														else:
																																																					return True
																																if visited.count(node[1]       ) < 1:
																																							stack.append(node[1]       )
																																							visited.append(node[1]       )
																																							A      						=    node[1]
																																							break

            # check if all the children are visited
																		if s == ss:
																									stack.pop()
																									A      						=    True
																									if len(__UpperCamelCase       ) != 0:
																																A      						=    stack[len(__UpperCamelCase       ) - 1]
																		else:
																									A      						=    False
																									indirect_parents.append(__UpperCamelCase       )
																									A      						=    s
																									A      						=    ss

																		# check if se have reached the starting point
																		if len(__UpperCamelCase       ) == 0:
																									return False


				def __UpperCamelCase						(							self      :  str       )		->     int:
											return list(self.graph       )


				def __UpperCamelCase						(							self      :  List[str]						, __UpperCamelCase      :  Optional[int]=-2						, __UpperCamelCase      :  Union[str, Any]=-1       )		->     Optional[Any]:
											A      						=    time()
											self.dfs(__UpperCamelCase						, __UpperCamelCase       )
											A      						=    time()
											return end - begin


				def __UpperCamelCase						(							self      :  int						, __UpperCamelCase      :  List[Any]=-2       )		->     Optional[Any]:
											A      						=    time()
											self.bfs(__UpperCamelCase       )
											A      						=    time()
											return end - begin


'''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


__lowerCamelCase									=     '''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''
def    UpperCAmelCase__     (   UpperCAmelCase__=None					)      ->      List[str]:
       if subparsers is not None:
              A_						       =   subparsers.add_parser("""tpu-config""",							description=_description					)
       else:
              A_						       =   argparse.ArgumentParser("""Accelerate tpu-config command""",							description=_description					)
       # Core arguments
       A_						       =   parser.add_argument_group(
           """Config Arguments""",							"""Arguments that can be configured through `accelerate config`."""					)
       config_args.add_argument(
           """--config_file""",							type=UpperCAmelCase__,							default=UpperCAmelCase__,							help="""Path to the config file to use for accelerate.""",							)
       config_args.add_argument(
           """--tpu_name""",							default=UpperCAmelCase__,							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=UpperCAmelCase__,							help="""The zone of the TPU to use. If not specified, will use the zone specified in the config file.""",							)
       A_						       =   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=UpperCAmelCase__,							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=UpperCAmelCase__					)
       return parser
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      List[Any]:
       A_						       =   None

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

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

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







def    UpperCAmelCase__     (   )      ->      int:
       A_						       =   tpu_command_parser()
       A_						       =   parser.parse_args()

       tpu_command_launcher(UpperCAmelCase__					)
