





from random import randint
from tempfile import TemporaryFile

import numpy as np


def     lowerCamelCase_	(      lowerCAmelCase:	Optional[int]    ,							lowerCAmelCase:	int    ,							lowerCAmelCase:	Tuple				)->		List[Any]:
  _snake_case   :				Optional[int]														=	0
  if start < end:
    _snake_case   :				List[Any]														=	randint(lowerCAmelCase    ,							lowerCAmelCase				)
    _snake_case   :				Dict														=	a[end]
    _snake_case   :				Union[str, Any]														=	a[pivot]
    _snake_case   :				Union[str, Any]														=	temp

    _snake_case							,					_snake_case   :				List[Any]														=	_in_place_partition(lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase				)
    count += _in_place_quick_sort(lowerCAmelCase    ,							lowerCAmelCase    ,							p - 1				)
    count += _in_place_quick_sort(lowerCAmelCase    ,							p + 1    ,							lowerCAmelCase				)
  return count


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

  _snake_case   :				Union[str, Any]														=	a[new_pivot_index + 1]
  _snake_case   :				Dict														=	a[end]
  _snake_case   :				Optional[Any]														=	temp
  return new_pivot_index + 1, count


lowerCAmelCase_						   =    TemporaryFile()
lowerCAmelCase_						   =    100  # 1000 elements are to be sorted


lowerCAmelCase_   ,							lowerCAmelCase_						   =    0, 1  # mean and standard deviation
lowerCAmelCase_						   =    np.random.normal(mu, sigma, p)
np.save(outfile, X)
print("""The array is""")
print(X)


outfile.seek(0)  # using the same array
lowerCAmelCase_						   =    np.load(outfile)
lowerCAmelCase_						   =    len(M) - 1
lowerCAmelCase_						   =    _in_place_quick_sort(M, 0, r)

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







print(z)











# 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


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


def     lowerCamelCase_	(      lowerCAmelCase:	str=None				)->		Any:
  if subparsers is not None:
    _snake_case   :				List[Any]														=	subparsers.add_parser('config'    ,							description=lowerCAmelCase				)
  else:
    _snake_case   :				Dict														=	argparse.ArgumentParser('Accelerate config command'    ,							description=lowerCAmelCase				)

  parser.add_argument(
      '--config_file'    ,							default=lowerCAmelCase    ,							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=lowerCAmelCase				)
  return parser


def     lowerCamelCase_	(      lowerCAmelCase:	Any				)->		Any:
  _snake_case   :				Dict														=	get_user_input()
  if args.config_file is not None:
    _snake_case   :				List[str]														=	args.config_file
  else:
    if not os.path.isdir(lowerCAmelCase				):
      os.makedirs(lowerCAmelCase				)
    _snake_case   :				Union[str, Any]														=	default_yaml_config_file

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


def     lowerCamelCase_	(      )->		Dict:
  _snake_case   :				List[str]														=	config_command_parser()
  _snake_case   :				str														=	parser.parse_args()
  config_command(lowerCAmelCase				)


if __name__ == "__main__":
      main()




