


'''simple docstring'''






from random import randint
from tempfile import TemporaryFile

import numpy as np







def     UpperCamelCase_      (   A__ :       Union[str, Any]							,   A__ :       Dict							,   A__ :       Optional[int] ):
		'''simple docstring'''





		lowerCAmelCase_      :				Optional[Any]      =       0
		if start < end:
				lowerCAmelCase_      :				int      =       randint(A__							,   A__ )
				lowerCAmelCase_      :				Any      =       a[end]
				lowerCAmelCase_      :				Optional[Any]      =       a[pivot]
				lowerCAmelCase_      :				int      =       temp

				lowerCAmelCase_      :				int      =       _in_place_partition(A__							,   A__							,   A__ )
				count += _in_place_quick_sort(A__							,   A__							,   p - 1 )
				count += _in_place_quick_sort(A__							,   p + 1							,   A__ )
		return count







def     UpperCamelCase_      (   A__ :       Any							,   A__ :       str							,   A__ :       int ):
		'''simple docstring'''





		lowerCAmelCase_      :				Optional[int]      =       0
		lowerCAmelCase_      :				Optional[Any]      =       randint(A__							,   A__ )
		lowerCAmelCase_      :				str      =       a[end]
		lowerCAmelCase_      :				Optional[int]      =       a[pivot]
		lowerCAmelCase_      :				Tuple      =       temp
		lowerCAmelCase_      :				List[str]      =       start - 1
		for index in range(A__							,   A__ ):
				count += 1
				if a[index] < a[end]:  # check if current val is less than pivot value
						lowerCAmelCase_      :				int      =       new_pivot_index + 1
						lowerCAmelCase_      :				Optional[Any]      =       a[new_pivot_index]
						lowerCAmelCase_      :				Any      =       a[index]
						lowerCAmelCase_      :				Optional[Any]      =       temp

		lowerCAmelCase_      :				List[str]      =       a[new_pivot_index + 1]
		lowerCAmelCase_      :				Optional[int]      =       a[end]
		lowerCAmelCase_      :				int      =       temp
		return new_pivot_index + 1, count


__A :  Any    							=				TemporaryFile()
__A :  Optional[Any]    							=				100  # 1000 elements are to be sorted


__A :  List[str]    							=				0, 1  # mean and standard deviation
__A :  Optional[int]    							=				np.random.normal(mu, sigma, p)
np.save(outfile, X)
print("The array is")
print(X)


outfile.seek(0)  # using the same array
__A :  List[Any]    							=				np.load(outfile)
__A :  str    							=				len(M) - 1
__A :  Optional[Any]    							=				_in_place_quick_sort(M, 0, r)

print(
    "No of Comparisons for 100 elements selected from a standard normal distribution"
    "is :"
)
print(z)







'''simple docstring'''






# 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.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


__A :  str    							=				"Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine"







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[Any]      =       _ask_options(
      """In which compute environment are you running?"""							,   ["""This machine""", """AWS (Amazon SageMaker)"""]							,   _convert_compute_environment							,   )
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    lowerCAmelCase_      :				str      =       get_sagemaker_input()
  else:
    lowerCAmelCase_      :				Optional[int]      =       get_cluster_input()
  return config







def     UpperCamelCase_      (   A__ :       Optional[Any]=None ):
  '''simple docstring'''





  if subparsers is not None:
    lowerCAmelCase_      :				List[str]      =       subparsers.add_parser("""config"""							,   description=A__ )
  else:
    lowerCAmelCase_      :				Optional[int]      =       argparse.ArgumentParser("""Accelerate config command"""							,   description=A__ )

  parser.add_argument(
      """--config_file"""							,   default=A__							,   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'."""
      )							,   )

  if subparsers is not None:
    parser.set_defaults(func=A__ )
  return parser







def     UpperCamelCase_      (   A__ :       Any ):
  '''simple docstring'''





  lowerCAmelCase_      :				Dict      =       get_user_input()
  if args.config_file is not None:
    lowerCAmelCase_      :				List[str]      =       args.config_file
  else:
    if not os.path.isdir(A__ ):
      os.makedirs(A__ )
    lowerCAmelCase_      :				List[Any]      =       default_yaml_config_file

  if config_file.endswith(""".json""" ):
    config.to_json_file(A__ )
  else:
    config.to_yaml_file(A__ )
  print(f'accelerate configuration saved at {config_file}' )







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				str      =       config_command_parser()
  lowerCAmelCase_      :				Tuple      =       parser.parse_args()
  config_command(A__ )


if __name__ == "__main__":
  main()



