from __future__ import annotations

from random import randrange





def   lowerCAmelCase_ (				__lowerCAmelCase						)->  list:






						'''simple docstring'''





						if len(UpperCAmelCase_						) < 2:
												return collection
						UpperCAmelCase    : Tuple      =randrange(len(UpperCAmelCase_						)						)  # Use random element as pivot
						UpperCAmelCase    : int      =collection[pivot_index]
						UpperCAmelCase    : list[int]      =[]  # All elements greater than pivot
						UpperCAmelCase    : list[int]      =[]  # All elements less than or equal to pivot

						for element in collection[:pivot_index]:
												(greater if element > pivot else lesser).append(UpperCAmelCase_						)

						for element in collection[pivot_index + 1 :]:
												(greater if element > pivot else lesser).append(UpperCAmelCase_						)

						return [*quick_sort(UpperCAmelCase_						), pivot, *quick_sort(UpperCAmelCase_						)]


if __name__ == "__main__":
					__snake_case			      =    input('''Enter numbers separated by a comma:\n''').strip()
					__snake_case			      =    [int(item) for item in user_input.split(''',''')]
					print(quick_sort(unsorted))

# 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 json
import os
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import yaml

from ...utils import ComputeEnvironment, DistributedType, SageMakerDistributedType
from ...utils.constants import SAGEMAKER_PYTHON_VERSION, SAGEMAKER_PYTORCH_VERSION, SAGEMAKER_TRANSFORMERS_VERSION


__snake_case			      =    os.path.expanduser(
    os.getenv('''HF_HOME''', os.path.join(os.getenv('''XDG_CACHE_HOME''', '''~/.cache'''), '''huggingface'''))
)
__snake_case			      =    os.path.join(hf_cache_home, '''accelerate''')
__snake_case			      =    os.path.join(cache_dir, '''default_config.yaml''')
__snake_case			      =    os.path.join(cache_dir, '''default_config.yaml''')

# For backward compatibility: the default config is the json one if it's the only existing file.
if os.path.isfile(default_yaml_config_file) or not os.path.isfile(default_json_config_file):
     __snake_case			      =    default_yaml_config_file
else:
     __snake_case			      =    default_json_config_file





def   lowerCAmelCase_ (				__lowerCAmelCase						)->  Tuple:






      '''simple docstring'''





      if config_file is not None:
            if not os.path.isfile(__lowerCAmelCase						):
                  raise FileNotFoundError(
                      f'''The passed configuration file `{config_file}` does not exist. '''
                      '''Please pass an existing file to `accelerate launch`, or use the the default one '''
                      '''created through `accelerate config` and run `accelerate launch` '''
                      '''without the `--config_file` argument.'''						)
      else:
            UpperCAmelCase    : Union[str, Any]      =default_config_file
      with open(__lowerCAmelCase		,					'''r'''		,					encoding='''utf-8'''						) as f:
            if config_file.endswith('''.json'''						):
                  if (
                      json.load(__lowerCAmelCase						).get('''compute_environment'''		,					ComputeEnvironment.LOCAL_MACHINE						)
                      == ComputeEnvironment.LOCAL_MACHINE
                  ):
                        UpperCAmelCase    : List[str]      =ClusterConfig
                  else:
                        UpperCAmelCase    : List[Any]      =SageMakerConfig
                  return config_class.from_json_file(json_file=__lowerCAmelCase						)
            else:
                  if (
                      yaml.safe_load(__lowerCAmelCase						).get('''compute_environment'''		,					ComputeEnvironment.LOCAL_MACHINE						)
                      == ComputeEnvironment.LOCAL_MACHINE
                  ):
                        UpperCAmelCase    : Union[str, Any]      =ClusterConfig
                  else:
                        UpperCAmelCase    : List[Any]      =SageMakerConfig
                  return config_class.from_yaml_file(yaml_file=__lowerCAmelCase						)







@dataclass
class 			__snake_case   :
 __lowerCamelCase    :   ComputeEnvironment
 __lowerCamelCase    :   Union[DistributedType, SageMakerDistributedType]
 __lowerCamelCase    :   str
 __lowerCamelCase    :   bool
 def 	UpperCAmelCase__       (  self						)	->							List[Any]:
       '''simple docstring'''





       UpperCAmelCase    : Union[str, Any]      =self.__dict__
       # For serialization, it's best to convert Enums to strings (or their underlying value type).
       for key, value in result.items():
             if isinstance(snake_case__		,   snake_case__						):
                   UpperCAmelCase    : Any      =value.value
             if isinstance(snake_case__		,   snake_case__						) and not bool(snake_case__						):
                   UpperCAmelCase    : Union[str, Any]      =None
       UpperCAmelCase    : Dict      ={k: v for k, v in result.items() if v is not None}
       return result
 @classmethod
 def 	UpperCAmelCase__       (  cls		,   snake_case__=None						)	->							Optional[int]:
       '''simple docstring'''





       UpperCAmelCase    : Tuple      =default_json_config_file if json_file is None else json_file
       with open(snake_case__		,   '''r'''		,   encoding='''utf-8'''						) as f:
             UpperCAmelCase    : Optional[int]      =json.load(snake_case__						)
       if "compute_environment" not in config_dict:
             UpperCAmelCase    : Optional[int]      =ComputeEnvironment.LOCAL_MACHINE
       if "mixed_precision" not in config_dict:
             UpperCAmelCase    : Optional[int]      ='''fp16''' if ('''fp16''' in config_dict and config_dict['''fp16''']) else None
       if "fp16" in config_dict:  # Convert the config to the new format.
             del config_dict["fp16"]
       if "dynamo_backend" in config_dict:  # Convert the config to the new format.
             UpperCAmelCase    : Optional[Any]      =config_dict.pop('''dynamo_backend'''						)
             UpperCAmelCase    : List[Any]      ={} if dynamo_backend == '''NO''' else {'''dynamo_backend''': dynamo_backend}
       if "use_cpu" not in config_dict:
             UpperCAmelCase    : Dict      =False
       return cls(**snake_case__						)
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							int:
       '''simple docstring'''





       with open(snake_case__		,   '''w'''		,   encoding='''utf-8'''						) as f:
             UpperCAmelCase    : Dict      =json.dumps(self.to_dict()		,   indent=2		,   sort_keys=snake_case__						) + '''\n'''
             f.write(snake_case__						)
 @classmethod
 def 	UpperCAmelCase__       (  cls		,   snake_case__=None						)	->							Optional[Any]:
       '''simple docstring'''





       UpperCAmelCase    : List[Any]      =default_yaml_config_file if yaml_file is None else yaml_file
       with open(snake_case__		,   '''r'''		,   encoding='''utf-8'''						) as f:
             UpperCAmelCase    : List[str]      =yaml.safe_load(snake_case__						)
       if "compute_environment" not in config_dict:
             UpperCAmelCase    : str      =ComputeEnvironment.LOCAL_MACHINE

       if "mixed_precision" not in config_dict:
             UpperCAmelCase    : Optional[Any]      ='''fp16''' if ('''fp16''' in config_dict and config_dict['''fp16''']) else None
       if isinstance(config_dict['''mixed_precision''']		,   snake_case__						) and not config_dict["mixed_precision"]:
             UpperCAmelCase    : Any      ='''no'''
       if "fp16" in config_dict:  # Convert the config to the new format.
             del config_dict["fp16"]
       if "dynamo_backend" in config_dict:  # Convert the config to the new format.
             UpperCAmelCase    : List[str]      =config_dict.pop('''dynamo_backend'''						)
             UpperCAmelCase    : str      ={} if dynamo_backend == '''NO''' else {'''dynamo_backend''': dynamo_backend}
       if "use_cpu" not in config_dict:
             UpperCAmelCase    : Optional[int]      =False
       return cls(**snake_case__						)
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							List[str]:
       '''simple docstring'''





       with open(snake_case__		,   '''w'''		,   encoding='''utf-8'''						) as f:
             yaml.safe_dump(self.to_dict()		,   snake_case__						)






 def 	UpperCAmelCase__       (  self						)	->							int:
       '''simple docstring'''





       if isinstance(self.compute_environment		,   snake_case__						):
             UpperCAmelCase    : Any      =ComputeEnvironment(self.compute_environment						)
       if isinstance(self.distributed_type		,   snake_case__						):
             if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
                   UpperCAmelCase    : int      =SageMakerDistributedType(self.distributed_type						)
             else:
                   UpperCAmelCase    : int      =DistributedType(self.distributed_type						)
       if self.dynamo_config is None:
             UpperCAmelCase    : Optional[int]      ={}







@dataclass
class 			__snake_case   (     lowerCamelCase__   ):
 __lowerCamelCase    :   int
 __lowerCamelCase    :   int     =      0
 __lowerCamelCase    :   int     =      1
 __lowerCamelCase    :   Optional[str]     =      None
 __lowerCamelCase    :   Optional[str]     =      None
 __lowerCamelCase    :   Optional[int]     =      None
 __lowerCamelCase    :   Optional[str]     =      "static"
 __lowerCamelCase    :   Optional[bool]     =      False
 __lowerCamelCase    :   str     =      "main"

 # args for deepspeed_plugin
 __lowerCamelCase    :   dict     =      None
 # args for fsdp
 __lowerCamelCase    :   dict     =      None
 # args for megatron_lm
 __lowerCamelCase    :   dict     =      None
 # args for ipex
 __lowerCamelCase    :   dict     =      None
 # args for TPU
 __lowerCamelCase    :   bool     =      False

 # args for TPU pods
 __lowerCamelCase    :   str     =      None
 __lowerCamelCase    :   str     =      None
 __lowerCamelCase    :   bool     =      False
 __lowerCamelCase    :   bool     =      False
 __lowerCamelCase    :   str     =      None
 __lowerCamelCase    :   List[str]     =      None
 __lowerCamelCase    :   List[str]     =      None
 __lowerCamelCase    :   List[str]     =      None

 # args for dynamo
 __lowerCamelCase    :   dict     =      None
 def 	UpperCAmelCase__       (  self						)	->							Tuple:
       '''simple docstring'''





       if self.deepspeed_config is None:
             UpperCAmelCase    : Union[str, Any]      ={}
       if self.fsdp_config is None:
             UpperCAmelCase    : Any      ={}
       if self.megatron_lm_config is None:
             UpperCAmelCase    : List[Any]      ={}
       if self.ipex_config is None:
             UpperCAmelCase    : int      ={}
       return super().__post_init__()







@dataclass
class 			__snake_case   (     lowerCamelCase__   ):
 __lowerCamelCase    :   str
 __lowerCamelCase    :   str
 __lowerCamelCase    :   Optional[str]     =      None
 __lowerCamelCase    :   Optional[str]     =      None
 __lowerCamelCase    :   str     =      "us-east-1"
 __lowerCamelCase    :   int     =      1
 __lowerCamelCase    :   str     =      "all"
 __lowerCamelCase    :   str     =      F'accelerate-sagemaker-{num_machines}'
 __lowerCamelCase    :   str     =      SAGEMAKER_PYTORCH_VERSION
 __lowerCamelCase    :   str     =      SAGEMAKER_TRANSFORMERS_VERSION
 __lowerCamelCase    :   str     =      SAGEMAKER_PYTHON_VERSION
 __lowerCamelCase    :   str     =      None
 __lowerCamelCase    :   str     =      None
 __lowerCamelCase    :   dict     =      None
 __lowerCamelCase    :   dict     =      None
