






"""simple docstring"""

from collections.abc import Callable


class 		__lowerCamelCase				:





		'''simple docstring'''






		def __init__(   self							:	List[str]						,			a_							:	Callable | None = None	):
				# Stores actual heap items.
				lowerCAmelCase_   :							list									=			[]
				# Stores indexes of each item for supporting updates and deletion.
				lowerCAmelCase_   :							dict									=			{}
				# Stores current size of heap.
				lowerCAmelCase_   :							Optional[Any]									=			0
				# Stores function used to evaluate the score of an item on which basis ordering
				# will be done.
				lowerCAmelCase_   :							int									=			key or (lambda a_	: x)





		def    lowerCamelCase       (   self							:	int						,			a_							:	int	):
				return int((i - 1) / 2	) if i > 0 else None





		def    lowerCamelCase       (   self							:	Any						,			a_							:	int	):
				lowerCAmelCase_   :							Union[str, Any]									=			int(2 * i + 1	)
				return left if 0 < left < self.size else None





		def    lowerCamelCase       (   self							:	Any						,			a_							:	int	):
				lowerCAmelCase_   :							Optional[Any]									=			int(2 * i + 2	)
				return right if 0 < right < self.size else None





		def    lowerCamelCase       (   self							:	Optional[Any]						,			a_							:	int						,			a_							:	int	):
				lowerCAmelCase_				,	lowerCAmelCase_   :							str									=			(
				    self.pos_map[self.arr[j][0]],
				    self.pos_map[self.arr[i][0]],
				)
				# Then swap the items in the list.
				lowerCAmelCase_				,	lowerCAmelCase_   :							Any									=			self.arr[j], self.arr[i]





		def    lowerCamelCase       (   self							:	Dict						,			a_							:	int						,			a_							:	int	):
				return self.arr[i][1] < self.arr[j][1]





		def    lowerCamelCase       (   self							:	Union[str, Any]						,			a_							:	int	):
				lowerCAmelCase_   :							Union[str, Any]									=			self._left(a_	)
				lowerCAmelCase_   :							str									=			self._right(a_	)
				lowerCAmelCase_   :							Any									=			i

				if left is not None and not self._cmp(a_						,			a_	):
						lowerCAmelCase_   :							List[str]									=			left
				if right is not None and not self._cmp(a_						,			a_	):
						lowerCAmelCase_   :							Union[str, Any]									=			right

				return valid_parent





		def    lowerCamelCase       (   self							:	List[Any]						,			a_							:	int	):
				lowerCAmelCase_   :							str									=			self._parent(a_	)
				while parent is not None and not self._cmp(a_						,			a_	):
						self._swap(a_						,			a_	)
						lowerCAmelCase_				,	lowerCAmelCase_   :							List[str]									=			parent, self._parent(a_	)





		def    lowerCamelCase       (   self							:	Tuple						,			a_							:	int	):
				lowerCAmelCase_   :							Union[str, Any]									=			self._get_valid_parent(a_	)
				while valid_parent != index:
						self._swap(a_						,			a_	)
						lowerCAmelCase_				,	lowerCAmelCase_   :							Dict									=			valid_parent, self._get_valid_parent(a_	)





		def    lowerCamelCase       (   self							:	Any						,			a_							:	int						,			a_							:	int	):
				if item not in self.pos_map:
						return
				lowerCAmelCase_   :							str									=			self.pos_map[item]
				lowerCAmelCase_   :							Any									=			[item, self.key(a_	)]
				# Make sure heap is right in both up and down direction.
				# Ideally only one of them will make any change.
				self._heapify_up(a_	)
				self._heapify_down(a_	)





		def    lowerCamelCase       (   self							:	Union[str, Any]						,			a_							:	int	):
				if item not in self.pos_map:
						return
				lowerCAmelCase_   :							Union[str, Any]									=			self.pos_map[item]
				del self.pos_map[item]
				lowerCAmelCase_   :							Optional[int]									=			self.arr[self.size - 1]
				lowerCAmelCase_   :							Union[str, Any]									=			index
				self.size -= 1
				# Make sure heap is right in both up and down direction. Ideally only one
				# of them will make any change- so no performance loss in calling both.
				if self.size > index:
						self._heapify_up(a_	)
						self._heapify_down(a_	)





		def    lowerCamelCase       (   self							:	Tuple						,			a_							:	int						,			a_							:	int	):
				lowerCAmelCase_   :							Optional[Any]									=			len(self.arr	)
				if arr_len == self.size:
						self.arr.append([item, self.key(a_	)]	)
				else:
						lowerCAmelCase_   :							Dict									=			[item, self.key(a_	)]
				lowerCAmelCase_   :							Optional[Any]									=			self.size
				self.size += 1
				self._heapify_up(self.size - 1	)





		def    lowerCamelCase       (   self							:	Union[str, Any]	):
				return self.arr[0] if self.size else None





		def    lowerCamelCase       (   self							:	Dict	):
				lowerCAmelCase_   :							List[Any]									=			self.get_top()
				if top_item_tuple:
						self.delete_item(top_item_tuple[0]	)
				return top_item_tuple







def 		__lowerCamelCase	(  )						->    None:

		"""simple docstring"""









if __name__ == "__main__":
					import doctest

					doctest.testmod()








"""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 		__lowerCamelCase	(  __UpperCamelCase       )						->    Dict:

		"""simple docstring"""







		return EnvironmentCommand()

def 		__lowerCamelCase	(  __UpperCamelCase       )						->    Optional[int]:

		"""simple docstring"""







		return EnvironmentCommand(args.accelerate_config_file       )



class 		__lowerCamelCase				( A__			):





		'''simple docstring'''






		@staticmethod
		def    lowerCamelCase       (   a_							:	ArgumentParser	):
				lowerCAmelCase_   :							str									=			parser.add_parser("env"	)
				download_parser.set_defaults(func=a_	)
				download_parser.add_argument(
				    "--accelerate-config_file"						,			default=a_						,			help="The accelerate config file to use for the default values in the launching script."						,			)
				download_parser.set_defaults(func=a_	)





		def __init__(   self							:	Dict						,			a_							:	Dict						,			*a_							:	str	):
				lowerCAmelCase_   :							Union[str, Any]									=			accelerate_config_file





		def    lowerCamelCase       (   self							:	Any	):
				lowerCAmelCase_   :							Optional[int]									=			"not installed"
				if is_safetensors_available():
						import safetensors

						lowerCAmelCase_   :							int									=			safetensors.__version__
				elif importlib.util.find_spec("safetensors"	) is not None:
						import safetensors

						lowerCAmelCase_   :							Optional[Any]									=			f'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

				lowerCAmelCase_   :							List[Any]									=			"not installed"
				lowerCAmelCase_   :							Dict									=			"not found"
				if is_accelerate_available():
						import accelerate
						from accelerate.commands.config import default_config_file, load_config_from_file

						lowerCAmelCase_   :							int									=			accelerate.__version__
						# Get the default from the config file.
						if self._accelerate_config_file is not None or os.path.isfile(a_	):
								lowerCAmelCase_   :							int									=			load_config_from_file(self._accelerate_config_file	).to_dict()

						lowerCAmelCase_   :							Any									=			(
						    "\n".join([f'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]	)
						    if isinstance(a_						,			a_	)
						    else f'''\t{accelerate_config}'''
						)

				lowerCAmelCase_   :							Union[str, Any]									=			"not installed"
				lowerCAmelCase_   :							Dict									=			"NA"
				if is_torch_available():
						import torch

						lowerCAmelCase_   :							Tuple									=			torch.__version__
						lowerCAmelCase_   :							Union[str, Any]									=			torch.cuda.is_available()

				lowerCAmelCase_   :							List[str]									=			"not installed"
				lowerCAmelCase_   :							Tuple									=			"NA"
				if is_tf_available():
						import tensorflow as tf

						lowerCAmelCase_   :							Union[str, Any]									=			tf.__version__
						try:
								# deprecated in v2.1
								lowerCAmelCase_   :							Tuple									=			tf.test.is_gpu_available()
						except AttributeError:
								# returns list of devices, convert to bool
								lowerCAmelCase_   :							List[str]									=			bool(tf.config.list_physical_devices("GPU"	)	)

				lowerCAmelCase_   :							Optional[Any]									=			"not installed"
				lowerCAmelCase_   :							Optional[int]									=			"not installed"
				lowerCAmelCase_   :							Tuple									=			"not installed"
				lowerCAmelCase_   :							Tuple									=			"NA"
				if is_flax_available():
						import flax
						import jax
						import jaxlib

						lowerCAmelCase_   :							List[Any]									=			flax.__version__
						lowerCAmelCase_   :							Tuple									=			jax.__version__
						lowerCAmelCase_   :							List[Any]									=			jaxlib.__version__
						lowerCAmelCase_   :							str									=			jax.lib.xla_bridge.get_backend().platform

				lowerCAmelCase_   :							Dict									=			{
				    "`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(a_	)	)

				return info





		@staticmethod
		def    lowerCamelCase       (   a_							:	Tuple	):
				return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]	) + "\n"
