
'''simple docstring'''

import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand






def       __lowercase  (_SCREAMING_SNAKE_CASE      :Union[str, Any]       ):
				return EnvironmentCommand()






def       __lowercase  (_SCREAMING_SNAKE_CASE      :Any       ):
				return EnvironmentCommand(args.accelerate_config_file       )




class 	a__     (				_lowercase	):


	@staticmethod
	def 				lowercase__  (__UpperCAmelCase : ArgumentParser      )     ->			Tuple:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						List[Any]      					= parser.add_parser('''env'''      )
					download_parser.set_defaults(func=__UpperCAmelCase      )
					download_parser.add_argument(
					    '''--accelerate-config_file''',					default=__UpperCAmelCase,					help='''The accelerate config file to use for the default values in the launching script.''',					)
					download_parser.set_defaults(func=__UpperCAmelCase      )


	def __init__(self : Any,					__UpperCAmelCase : Optional[int],					*__UpperCAmelCase : Any      )     ->			None:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						str      					= accelerate_config_file


	def 				lowercase__  (self : Optional[int]      )     ->			Optional[int]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Any      					= '''not installed'''
					if is_safetensors_available():
									import safetensors

									SCREAMING_SNAKE_CASE  :						List[Any]      					= safetensors.__version__
					elif importlib.util.find_spec('''safetensors'''      ) is not None:
									import safetensors

									SCREAMING_SNAKE_CASE  :						Tuple      					= F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= '''not installed'''
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= '''not found'''
					if is_accelerate_available():
									import accelerate
									from accelerate.commands.config import default_config_file, load_config_from_file

									SCREAMING_SNAKE_CASE  :						Any      					= accelerate.__version__
									# Get the default from the config file.
									if self._accelerate_config_file is not None or os.path.isfile(__UpperCAmelCase      ):
													SCREAMING_SNAKE_CASE  :						Tuple      					= load_config_from_file(self._accelerate_config_file      ).to_dict()

									SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= (
									    '''\n'''.join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]      )
									    if isinstance(__UpperCAmelCase,					__UpperCAmelCase      )
									    else F'''\t{accelerate_config}'''
									)

					SCREAMING_SNAKE_CASE  :						Dict      					= '''not installed'''
					SCREAMING_SNAKE_CASE  :						List[str]      					= '''NA'''
					if is_torch_available():
									import torch

									SCREAMING_SNAKE_CASE  :						List[Any]      					= torch.__version__
									SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= torch.cuda.is_available()

					SCREAMING_SNAKE_CASE  :						Dict      					= '''not installed'''
					SCREAMING_SNAKE_CASE  :						List[str]      					= '''NA'''
					if is_tf_available():
									import tensorflow as tf

									SCREAMING_SNAKE_CASE  :						List[str]      					= tf.__version__
									try:
													# deprecated in v2.1
													SCREAMING_SNAKE_CASE  :						Optional[int]      					= tf.test.is_gpu_available()
									except AttributeError:
													# returns list of devices, convert to bool
													SCREAMING_SNAKE_CASE  :						int      					= bool(tf.config.list_physical_devices('''GPU'''      )      )

					SCREAMING_SNAKE_CASE  :						List[str]      					= '''not installed'''
					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= '''not installed'''
					SCREAMING_SNAKE_CASE  :						str      					= '''not installed'''
					SCREAMING_SNAKE_CASE  :						Optional[int]      					= '''NA'''
					if is_flax_available():
									import flax
									import jax
									import jaxlib

									SCREAMING_SNAKE_CASE  :						List[Any]      					= flax.__version__
									SCREAMING_SNAKE_CASE  :						Optional[int]      					= jax.__version__
									SCREAMING_SNAKE_CASE  :						str      					= jaxlib.__version__
									SCREAMING_SNAKE_CASE  :						Optional[Any]      					= jax.lib.xla_bridge.get_backend().platform

					SCREAMING_SNAKE_CASE  :						Tuple      					= {
					    '''`transformers` version''': version,
					    '''Platform''': platform.platform(),
					    '''Python version''': platform.python_version(),
					    '''Huggingface_hub version''': huggingface_hub.__version__,
					    '''Safetensors version''': F'''{safetensors_version}''',
					    '''Accelerate version''': F'''{accelerate_version}''',
					    '''Accelerate config''': F'''{accelerate_config_str}''',
					    '''PyTorch version (GPU?)''': F'''{pt_version} ({pt_cuda_available})''',
					    '''Tensorflow version (GPU?)''': F'''{tf_version} ({tf_cuda_available})''',
					    '''Flax version (CPU?/GPU?/TPU?)''': F'''{flax_version} ({jax_backend})''',
					    '''Jax version''': F'''{jax_version}''',
					    '''JaxLib version''': F'''{jaxlib_version}''',
					    '''Using GPU in script?''': '''<fill in>''',
					    '''Using distributed or parallel set-up in script?''': '''<fill in>''',
					}

					print('''\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'''      )
					print(self.format_dict(__UpperCAmelCase      )      )

					return info






	@staticmethod
	def 				lowercase__  (__UpperCAmelCase : int      )     ->			Any:

					"""simple docstring"""

					return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]      ) + "\n"









'''simple docstring'''

from collections import deque






def       __lowercase  (_SCREAMING_SNAKE_CASE      :List[str]       ):
				SCREAMING_SNAKE_CASE  :						Optional[Any]      					= len(_SCREAMING_SNAKE_CASE       )
				SCREAMING_SNAKE_CASE  :						List[str]      					= deque()
				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= [False for _ in range(_SCREAMING_SNAKE_CASE       )]
				SCREAMING_SNAKE_CASE  :						Any      					= [-1 for _ in range(_SCREAMING_SNAKE_CASE       )]
				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= index_of[:]

				def strong_connect(_SCREAMING_SNAKE_CASE      :List[str]    ,	_SCREAMING_SNAKE_CASE      :Any    ,	_SCREAMING_SNAKE_CASE      :List[str]       ):
								SCREAMING_SNAKE_CASE  :						Any      					= index  # the number when this node is seen
								SCREAMING_SNAKE_CASE  :						str      					= index  # lowest rank node reachable from here
								index += 1
								stack.append(_SCREAMING_SNAKE_CASE       )
								SCREAMING_SNAKE_CASE  :						Optional[int]      					= True

								for w in g[v]:
												if index_of[w] == -1:
																SCREAMING_SNAKE_CASE  :						List[str]      					= strong_connect(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE       )
																SCREAMING_SNAKE_CASE  :						Optional[int]      					= (
																    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																)
												elif on_stack[w]:
																SCREAMING_SNAKE_CASE  :						List[str]      					= (
																    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																)

								if lowlink_of[v] == index_of[v]:
												SCREAMING_SNAKE_CASE  :						str      					= []
												SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= stack.pop()
												SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= False
												component.append(_SCREAMING_SNAKE_CASE       )
												while w != v:
																SCREAMING_SNAKE_CASE  :						int      					= stack.pop()
																SCREAMING_SNAKE_CASE  :						Tuple      					= False
																component.append(_SCREAMING_SNAKE_CASE       )
												components.append(_SCREAMING_SNAKE_CASE       )
								return index

				SCREAMING_SNAKE_CASE  :						int      					= []
				for v in range(_SCREAMING_SNAKE_CASE       ):
								if index_of[v] == -1:
												strong_connect(_SCREAMING_SNAKE_CASE    ,	0    ,	_SCREAMING_SNAKE_CASE       )

				return components






def       __lowercase  (_SCREAMING_SNAKE_CASE      :List[str]    ,	_SCREAMING_SNAKE_CASE      :Optional[int]       ):
				SCREAMING_SNAKE_CASE  :						Tuple      					= [[] for _ in range(_SCREAMING_SNAKE_CASE       )]
				for u, v in edges:
								g[u].append(_SCREAMING_SNAKE_CASE       )
				return g


if __name__ == "__main__":
	# Test
	snake_case_			=     7
	snake_case_			=     [0, 0, 1, 2, 3, 3, 4, 4, 6]
	snake_case_			=     [1, 3, 2, 0, 1, 4, 5, 6, 5]
	snake_case_			=     [(u, v) for u, v in zip(source, target)]
	snake_case_			=     create_graph(n_vertices, edges)

	assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)




