
'''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 	A  (   UpperCamelCase_       :  Optional[int]   )       ->							Any:







			'''simple docstring'''



			return EnvironmentCommand()







def 	A  (   UpperCamelCase_       :  Any   )       ->							Dict:







			'''simple docstring'''



			return EnvironmentCommand(args.accelerate_config_file   )






class  A  (						SCREAMING_SNAKE_CASE__     ):





	@staticmethod
	def 				__SCREAMING_SNAKE_CASE	(       __magic_name__      :							ArgumentParser				):


				"""simple docstring"""

				lowerCAmelCase__										=				parser.add_parser("env"				)
				download_parser.set_defaults(func=__magic_name__				)
				download_parser.add_argument(
				    "--accelerate-config_file"   ,				default=__magic_name__   ,				help="The accelerate config file to use for the default values in the launching script."   ,				)
				download_parser.set_defaults(func=__magic_name__				)





	def __init__(       self      :							List[Any]   ,				__magic_name__      :							Union[str, Any]   ,				*__magic_name__      :							Union[str, Any]				):


				"""simple docstring"""

				lowerCAmelCase__										=				accelerate_config_file





	def 				__SCREAMING_SNAKE_CASE	(       self      :							List[Any]				):


				"""simple docstring"""

				lowerCAmelCase__										=				"not installed"
				if is_safetensors_available():
							import safetensors

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

							lowerCAmelCase__										=				f"""{safetensors.__version__} but is ignored because of PyTorch version too old."""

				lowerCAmelCase__										=				"not installed"
				lowerCAmelCase__										=				lowerCAmelCase__										=				"not found"
				if is_accelerate_available():
							import accelerate
							from accelerate.commands.config import default_config_file, load_config_from_file

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

							lowerCAmelCase__										=				(
							    "\n".join([f"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]				)
							    if isinstance(__magic_name__   ,				__magic_name__				)
							    else f"""\t{accelerate_config}"""
							)

				lowerCAmelCase__										=				"not installed"
				lowerCAmelCase__										=				"NA"
				if is_torch_available():
							import torch

							lowerCAmelCase__										=				torch.__version__
							lowerCAmelCase__										=				torch.cuda.is_available()

				lowerCAmelCase__										=				"not installed"
				lowerCAmelCase__										=				"NA"
				if is_tf_available():
							import tensorflow as tf

							lowerCAmelCase__										=				tf.__version__
							try:
										# deprecated in v2.1
										lowerCAmelCase__										=				tf.test.is_gpu_available()
							except AttributeError:
										# returns list of devices, convert to bool
										lowerCAmelCase__										=				bool(tf.config.list_physical_devices("GPU"				)				)

				lowerCAmelCase__										=				"not installed"
				lowerCAmelCase__										=				"not installed"
				lowerCAmelCase__										=				"not installed"
				lowerCAmelCase__										=				"NA"
				if is_flax_available():
							import flax
							import jax
							import jaxlib

							lowerCAmelCase__										=				flax.__version__
							lowerCAmelCase__										=				jax.__version__
							lowerCAmelCase__										=				jaxlib.__version__
							lowerCAmelCase__										=				jax.lib.xla_bridge.get_backend().platform

				lowerCAmelCase__										=				{
				    "`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(__magic_name__				)				)

				return info







	@staticmethod
	def 				__SCREAMING_SNAKE_CASE	(       __magic_name__      :							List[Any]				):


				"""simple docstring"""

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








'''simple docstring'''



import operator


def       snake_case   (	snake_case      : list					,		snake_case      : bool = False					,		snake_case      : list | None = None			) ->  list:


    """simple docstring"""


    lowerCAmelCase 						=							operator.lt if reverse else operator.gt
    lowerCAmelCase 						=							solution or []

    if not arr:
        return solution

    lowerCAmelCase 						=							[arr.pop(0			)]
    for i, item in enumerate(snake_case			):
        if _operator(snake_case					,		sublist[-1]			):
            sublist.append(snake_case			)
            arr.pop(snake_case			)

    #  merging sublist into solution list
    if not solution:
        solution.extend(snake_case			)
    else:
        while sublist:
            lowerCAmelCase 						=							sublist.pop(0			)
            for i, xx in enumerate(snake_case			):
                if not _operator(snake_case					,		snake_case			):
                    solution.insert(snake_case					,		snake_case			)
                    break
            else:
                solution.append(snake_case			)

    strand_sort(snake_case					,		snake_case					,		snake_case			)
    return solution


if __name__ == "__main__":
     assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
     assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]





