


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


class 	_a							:

	def __init__(							self:     Dict							)      ->       List[Any]:





			"""simple docstring"""







			lowercase__						=				{}

	def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     Union[str, Any]   ,						UpperCamelCase_:     Tuple=1							)      ->       Dict:





			"""simple docstring"""







			if self.graph.get(snake_case_							):
					if self.graph[u].count([w, v]							) == 0:
							self.graph[u].append([w, v]							)
			else:
					lowercase__						=				[[w, v]]
			if not self.graph.get(snake_case_							):
					lowercase__						=				[]

	def 				lowerCamelCase_			(							self:     List[str]							)      ->       str:





			"""simple docstring"""







			return list(self.graph							)

	def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     Optional[int]   ,						UpperCamelCase_:     Dict							)      ->       Optional[Any]:





			"""simple docstring"""







			if self.graph.get(snake_case_							):
					for _ in self.graph[u]:
							if _[1] == v:
									self.graph[u].remove(snake_case_							)

	def 				lowerCamelCase_			(							self:     Optional[int]   ,						UpperCamelCase_:     Tuple=-2   ,						UpperCamelCase_:     Tuple=-1							)      ->       Optional[Any]:





			"""simple docstring"""







			if s == d:
					return []
			lowercase__						=				[]
			lowercase__						=				[]
			if s == -2:
					lowercase__						=				list(self.graph							)[0]
			stack.append(snake_case_							)
			visited.append(snake_case_							)
			lowercase__						=				s

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

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

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

	def 				lowerCamelCase_			(							self:     Optional[Any]   ,						UpperCamelCase_:     Any=-1							)      ->       Tuple:





			"""simple docstring"""







			if c == -1:
					lowercase__						=				floor(random() * 10_000							) + 10
			for i in range(snake_case_							):
					# every vertex has max 100 edges
					for _ in range(floor(random() * 102							) + 1							):
							lowercase__						=				floor(random() * c							) + 1
							if n != i:
									self.add_pair(snake_case_   ,						snake_case_   ,						1							)

	def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     str=-2							)      ->       Optional[Any]:





			"""simple docstring"""







			lowercase__						=				deque()
			lowercase__						=				[]
			if s == -2:
					lowercase__						=				list(self.graph							)[0]
			d.append(snake_case_							)
			visited.append(snake_case_							)
			while d:
					lowercase__						=				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 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     Optional[Any]							)      ->       int:





			"""simple docstring"""







			lowercase__						=				0
			for x in self.graph:
					for y in self.graph[x]:
							if y[1] == u:
									count += 1
			return count

	def 				lowerCamelCase_			(							self:     Optional[Any]   ,						UpperCamelCase_:     Any							)      ->       List[Any]:





			"""simple docstring"""







			return len(self.graph[u]							)

	def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     Union[str, Any]=-2							)      ->       Dict:





			"""simple docstring"""







			lowercase__						=				[]
			lowercase__						=				[]
			if s == -2:
					lowercase__						=				list(self.graph							)[0]
			stack.append(snake_case_							)
			visited.append(snake_case_							)
			lowercase__						=				s
			lowercase__						=				[]

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

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

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

	def 				lowerCamelCase_			(							self:     int							)      ->       Optional[Any]:





			"""simple docstring"""







			lowercase__						=				[]
			lowercase__						=				[]
			lowercase__						=				list(self.graph							)[0]
			stack.append(snake_case_							)
			visited.append(snake_case_							)
			lowercase__						=				-2
			lowercase__						=				[]
			lowercase__						=				s
			lowercase__						=				False
			lowercase__						=				set()

			while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]							) != 0:
							lowercase__						=				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
									):
											lowercase__						=				len(snake_case_							) - 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]							)
											lowercase__						=				node[1]
											break

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

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

	def 				lowerCamelCase_			(							self:     Union[str, Any]							)      ->       List[Any]:





			"""simple docstring"""







			lowercase__						=				[]
			lowercase__						=				[]
			lowercase__						=				list(self.graph							)[0]
			stack.append(snake_case_							)
			visited.append(snake_case_							)
			lowercase__						=				-2
			lowercase__						=				[]
			lowercase__						=				s
			lowercase__						=				False
			lowercase__						=				set()

			while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]							) != 0:
							lowercase__						=				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
									):
											lowercase__						=				len(snake_case_							) - 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]							)
											lowercase__						=				node[1]
											break

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

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

	def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     List[Any]=-2   ,						UpperCamelCase_:     List[str]=-1							)      ->       Optional[int]:





			"""simple docstring"""







			lowercase__						=				time()
			self.dfs(snake_case_   ,						snake_case_							)
			lowercase__						=				time()
			return end - begin


	def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     List[str]=-2							)      ->       Dict:





			"""simple docstring"""







			lowercase__						=				time()
			self.bfs(snake_case_							)
			lowercase__						=				time()
			return end - begin


class 	_a							:

	def __init__(							self:     List[str]							)      ->       Tuple:





			"""simple docstring"""







			lowercase__						=				{}

	def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     Union[str, Any]=1							)      ->       Optional[Any]:





			"""simple docstring"""







			if self.graph.get(snake_case_							):
					# 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
					lowercase__						=				[[w, v]]
			# add the other way
			if self.graph.get(snake_case_							):
					# 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
					lowercase__						=				[[w, u]]

	def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     Optional[int]   ,						UpperCamelCase_:     Union[str, Any]							)      ->       str:





			"""simple docstring"""







			if self.graph.get(snake_case_							):
					for _ in self.graph[u]:
							if _[1] == v:
									self.graph[u].remove(snake_case_							)
        # the other way round
			if self.graph.get(snake_case_							):
					for _ in self.graph[v]:
							if _[1] == u:
									self.graph[v].remove(snake_case_							)

	def 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     Tuple=-2   ,						UpperCamelCase_:     Union[str, Any]=-1							)      ->       int:





			"""simple docstring"""







			if s == d:
					return []
			lowercase__						=				[]
			lowercase__						=				[]
			if s == -2:
					lowercase__						=				list(self.graph							)[0]
			stack.append(snake_case_							)
			visited.append(snake_case_							)
			lowercase__						=				s

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

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

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

	def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     str=-1							)      ->       int:





			"""simple docstring"""







			if c == -1:
					lowercase__						=				floor(random() * 10_000							) + 10
			for i in range(snake_case_							):
					# every vertex has max 100 edges
					for _ in range(floor(random() * 102							) + 1							):
							lowercase__						=				floor(random() * c							) + 1
							if n != i:
									self.add_pair(snake_case_   ,						snake_case_   ,						1							)

	def 				lowerCamelCase_			(							self:     str   ,						UpperCamelCase_:     Dict=-2							)      ->       Dict:





			"""simple docstring"""







			lowercase__						=				deque()
			lowercase__						=				[]
			if s == -2:
					lowercase__						=				list(self.graph							)[0]
			d.append(snake_case_							)
			visited.append(snake_case_							)
			while d:
					lowercase__						=				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 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     Union[str, Any]							)      ->       Any:





			"""simple docstring"""







			return len(self.graph[u]							)

	def 				lowerCamelCase_			(							self:     Optional[Any]							)      ->       Optional[Any]:





			"""simple docstring"""







			lowercase__						=				[]
			lowercase__						=				[]
			lowercase__						=				list(self.graph							)[0]
			stack.append(snake_case_							)
			visited.append(snake_case_							)
			lowercase__						=				-2
			lowercase__						=				[]
			lowercase__						=				s
			lowercase__						=				False
			lowercase__						=				set()

			while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]							) != 0:
							lowercase__						=				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
									):
											lowercase__						=				len(snake_case_							) - 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]							)
											lowercase__						=				node[1]
											break

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

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

	def 				lowerCamelCase_			(							self:     str							)      ->       str:





			"""simple docstring"""







			lowercase__						=				[]
			lowercase__						=				[]
			lowercase__						=				list(self.graph							)[0]
			stack.append(snake_case_							)
			visited.append(snake_case_							)
			lowercase__						=				-2
			lowercase__						=				[]
			lowercase__						=				s
			lowercase__						=				False
			lowercase__						=				set()

			while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]							) != 0:
							lowercase__						=				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
									):
											lowercase__						=				len(snake_case_							) - 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]							)
											lowercase__						=				node[1]
											break

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

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

	def 				lowerCamelCase_			(							self:     Union[str, Any]							)      ->       List[Any]:





			"""simple docstring"""







			return list(self.graph							)

	def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     int=-2   ,						UpperCamelCase_:     Any=-1							)      ->       Union[str, Any]:





			"""simple docstring"""







			lowercase__						=				time()
			self.dfs(snake_case_   ,						snake_case_							)
			lowercase__						=				time()
			return end - begin


	def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     Union[str, Any]=-2							)      ->       str:





			"""simple docstring"""







			lowercase__						=				time()
			self.bfs(snake_case_							)
			lowercase__						=				time()
			return end - begin






# 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	=							'Create a default config file for Accelerate with only a few flags set.'
def       _a			(				SCREAMING_SNAKE_CASE="no"						,    SCREAMING_SNAKE_CASE = default_json_config_file						,    SCREAMING_SNAKE_CASE = False					):


		"""simple docstring"""




		lowercase__						=				Path(SCREAMING_SNAKE_CASE					)
		path.parent.mkdir(parents=SCREAMING_SNAKE_CASE						,    exist_ok=SCREAMING_SNAKE_CASE					)
		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
		lowercase__						=				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}'					)
		lowercase__						=				{
		    '''compute_environment''': '''LOCAL_MACHINE''',
		    '''mixed_precision''': mixed_precision,
		}
		if torch.cuda.is_available():
				lowercase__						=				torch.cuda.device_count()
				lowercase__						=				num_gpus
				lowercase__						=				False
				if num_gpus > 1:
						lowercase__						=				'''MULTI_GPU'''
				else:
						lowercase__						=				'''NO'''
		elif is_xpu_available() and use_xpu:
				lowercase__						=				torch.xpu.device_count()
				lowercase__						=				num_xpus
				lowercase__						=				False
				if num_xpus > 1:
						lowercase__						=				'''MULTI_XPU'''
				else:
						lowercase__						=				'''NO'''
		elif is_npu_available():
				lowercase__						=				torch.npu.device_count()
				lowercase__						=				num_npus
				lowercase__						=				False
				if num_npus > 1:
						lowercase__						=				'''MULTI_NPU'''
				else:
						lowercase__						=				'''NO'''
		else:
				lowercase__						=				0
				lowercase__						=				True
				lowercase__						=				1
				lowercase__						=				'''NO'''
		lowercase__						=				ClusterConfig(**SCREAMING_SNAKE_CASE					)
		config.to_json_file(SCREAMING_SNAKE_CASE					)
		return path
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		lowercase__						=				parser.add_parser('''default'''						,    parents=SCREAMING_SNAKE_CASE						,    help=SCREAMING_SNAKE_CASE						,    formatter_class=SCREAMING_SNAKE_CASE					)
		parser.add_argument(
		    '''--config_file'''						,    default=SCREAMING_SNAKE_CASE						,    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=SCREAMING_SNAKE_CASE						,    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=SCREAMING_SNAKE_CASE					)
		return parser
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		lowercase__						=				write_basic_config(args.mixed_precision						,    args.save_location					)
		if config_file:
				print(f'accelerate configuration saved at {config_file}'					)


