


import random







def   A   (		A__ ):

     def is_sorted(A__ ):
          for i in range(len(A__ ) - 1 ):
               if collection[i] > collection[i + 1]:
                    return False
          return True

     while not is_sorted(A__ ):
          random.shuffle(A__ )
     return collection


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(bogo_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   A   (		A__ ):
     if config_file is not None:
          if not os.path.isfile(A__ ):
               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						:				Optional[Any]		  =			default_config_file
     with open(A__		,		"r"		,		encoding="utf-8" ) as f:
          if config_file.endswith(".json" ):
               if (
                   json.load(A__ ).get("compute_environment"		,		ComputeEnvironment.LOCAL_MACHINE )
                   == ComputeEnvironment.LOCAL_MACHINE
               ):
                    UpperCAmelCase						:				Optional[Any]		  =			ClusterConfig
               else:
                    UpperCAmelCase						:				int		  =			SageMakerConfig
               return config_class.from_json_file(json_file=A__ )
          else:
               if (
                   yaml.safe_load(A__ ).get("compute_environment"		,		ComputeEnvironment.LOCAL_MACHINE )
                   == ComputeEnvironment.LOCAL_MACHINE
               ):
                    UpperCAmelCase						:				int		  =			ClusterConfig
               else:
                    UpperCAmelCase						:				Optional[Any]		  =			SageMakerConfig
               return config_class.from_yaml_file(yaml_file=A__ )




@dataclass
class    A_   :







 """simple docstring"""





 _UpperCamelCase				: ComputeEnvironment
 _UpperCamelCase				: Union[DistributedType, SageMakerDistributedType]
 _UpperCamelCase				: str
 _UpperCamelCase				: bool
 def   _UpperCamelCase    (			self					: Tuple				)    ->			Optional[int]:
      UpperCAmelCase						:				Optional[int]		  =			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(_a       ,    _a				):
                UpperCAmelCase						:				Any		  =			value.value
           if isinstance(_a       ,    _a				) and not bool(_a				):
                UpperCAmelCase						:				Dict		  =			None
      UpperCAmelCase						:				Union[str, Any]		  =			{k: v for k, v in result.items() if v is not None}
      return result
 @classmethod
 def   _UpperCamelCase    (			cls					: Dict       ,    _a					: List[Any]=None				)    ->			Optional[int]:
      UpperCAmelCase						:				int		  =			default_json_config_file if json_file is None else json_file
      with open(_a       ,    "r"       ,    encoding="utf-8"				) as f:
           UpperCAmelCase						:				str		  =			json.load(_a				)
      if "compute_environment" not in config_dict:
           UpperCAmelCase						:				List[Any]		  =			ComputeEnvironment.LOCAL_MACHINE
      if "mixed_precision" not in config_dict:
           UpperCAmelCase						:				List[str]		  =			"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						:				Dict		  =			config_dict.pop("dynamo_backend"				)
           UpperCAmelCase						:				Optional[int]		  =			{} if dynamo_backend == "NO" else {"dynamo_backend": dynamo_backend}
      if "use_cpu" not in config_dict:
           UpperCAmelCase						:				Dict		  =			False
      return cls(**_a				)
 def   _UpperCamelCase    (			self					: List[Any]       ,    _a					: Optional[int]				)    ->			Dict:
      with open(_a       ,    "w"       ,    encoding="utf-8"				) as f:
           UpperCAmelCase						:				Tuple		  =			json.dumps(self.to_dict()       ,    indent=2       ,    sort_keys=_a				) + "\n"
           f.write(_a				)
 @classmethod
 def   _UpperCamelCase    (			cls					: int       ,    _a					: Optional[int]=None				)    ->			Dict:
      UpperCAmelCase						:				Optional[int]		  =			default_yaml_config_file if yaml_file is None else yaml_file
      with open(_a       ,    "r"       ,    encoding="utf-8"				) as f:
           UpperCAmelCase						:				str		  =			yaml.safe_load(_a				)
      if "compute_environment" not in config_dict:
           UpperCAmelCase						:				Dict		  =			ComputeEnvironment.LOCAL_MACHINE

      if "mixed_precision" not in config_dict:
           UpperCAmelCase						:				List[str]		  =			"fp16" if ("fp16" in config_dict and config_dict["fp16"]) else None
      if isinstance(config_dict["mixed_precision"]       ,    _a				) and not config_dict["mixed_precision"]:
           UpperCAmelCase						:				Tuple		  =			"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						:				str		  =			config_dict.pop("dynamo_backend"				)
           UpperCAmelCase						:				Tuple		  =			{} if dynamo_backend == "NO" else {"dynamo_backend": dynamo_backend}
      if "use_cpu" not in config_dict:
           UpperCAmelCase						:				List[str]		  =			False
      return cls(**_a				)
 def   _UpperCamelCase    (			self					: Optional[Any]       ,    _a					: str				)    ->			int:
      with open(_a       ,    "w"       ,    encoding="utf-8"				) as f:
           yaml.safe_dump(self.to_dict()       ,    _a				)

 def   _UpperCamelCase    (			self					: Tuple				)    ->			List[Any]:
      if isinstance(self.compute_environment       ,    _a				):
           UpperCAmelCase						:				str		  =			ComputeEnvironment(self.compute_environment				)
      if isinstance(self.distributed_type       ,    _a				):
           if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
                UpperCAmelCase						:				Optional[int]		  =			SageMakerDistributedType(self.distributed_type				)
           else:
                UpperCAmelCase						:				str		  =			DistributedType(self.distributed_type				)
      if self.dynamo_config is None:
           UpperCAmelCase						:				List[str]		  =			{}




@dataclass
class    A_   ( a_     ):







 """simple docstring"""





 _UpperCamelCase				: int
 _UpperCamelCase				: int      =					0
 _UpperCamelCase				: int      =					1
 _UpperCamelCase				: Optional[str]      =					None
 _UpperCamelCase				: Optional[str]      =					None
 _UpperCamelCase				: Optional[int]      =					None
 _UpperCamelCase				: Optional[str]      =					"static"
 _UpperCamelCase				: Optional[bool]      =					False
 _UpperCamelCase				: str      =					"main"

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

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

 # args for dynamo
 _UpperCamelCase				: dict      =					None
 def   _UpperCamelCase    (			self					: Union[str, Any]				)    ->			Optional[int]:
      if self.deepspeed_config is None:
           UpperCAmelCase						:				int		  =			{}
      if self.fsdp_config is None:
           UpperCAmelCase						:				str		  =			{}
      if self.megatron_lm_config is None:
           UpperCAmelCase						:				Optional[int]		  =			{}
      if self.ipex_config is None:
           UpperCAmelCase						:				int		  =			{}
      return super().__post_init__()




@dataclass
class    A_   ( a_     ):







 """simple docstring"""





 _UpperCamelCase				: str
 _UpperCamelCase				: str
 _UpperCamelCase				: Optional[str]      =					None
 _UpperCamelCase				: Optional[str]      =					None
 _UpperCamelCase				: str      =					"us-east-1"
 _UpperCamelCase				: int      =					1
 _UpperCamelCase				: str      =					"all"
 _UpperCamelCase				: str      =					f"accelerate-sagemaker-{num_machines}"
 _UpperCamelCase				: str      =					SAGEMAKER_PYTORCH_VERSION
 _UpperCamelCase				: str      =					SAGEMAKER_TRANSFORMERS_VERSION
 _UpperCamelCase				: str      =					SAGEMAKER_PYTHON_VERSION
 _UpperCamelCase				: str      =					None
 _UpperCamelCase				: str      =					None
 _UpperCamelCase				: dict      =					None
 _UpperCamelCase				: dict      =					None



