




# 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          =			'''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__       (      ):

     '''simple docstring'''


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







def lowerCamelCase__       (      _lowercase=None				):

     '''simple docstring'''


     if subparsers is not None:
          UpperCAmelCase_      :							Optional[Any]       =      subparsers.add_parser('''config'''			,						description=a__				)
     else:
          UpperCAmelCase_      :							str       =      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 lowerCamelCase__       (      _lowercase				):

     '''simple docstring'''


     UpperCAmelCase_      :							Tuple       =      get_user_input()
     if args.config_file is not None:
          UpperCAmelCase_      :							int       =      args.config_file
     else:
          if not os.path.isdir(a__				):
               os.makedirs(a__				)
          UpperCAmelCase_      :							Optional[int]       =      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 lowerCamelCase__       (      ):

     '''simple docstring'''


     UpperCAmelCase_      :							Tuple       =      config_command_parser()
     UpperCAmelCase_      :							Optional[int]       =      parser.parse_args()
     config_command(a__				)


if __name__ == "__main__":
     main()





from collections import defaultdict







def lowerCamelCase__       (      _lowercase			,						_lowercase				):

     '''simple docstring'''


     UpperCAmelCase_      :							Optional[int]       =      first_str.lower().strip()
     UpperCAmelCase_      :							Any       =      second_str.lower().strip()

     # Remove whitespace
     UpperCAmelCase_      :							Any       =      first_str.replace(''' '''			,						''''''				)
     UpperCAmelCase_      :							int       =      second_str.replace(''' '''			,						''''''				)

     # Strings of different lengths are not anagrams
     if len(_lowercase				) != len(_lowercase				):
          return False

     # Default values for count should be 0
     UpperCAmelCase_      :							defaultdict[str, int]       =      defaultdict(_lowercase				)

     # For each character in input strings,
     # increment count in the corresponding
     for i in range(len(_lowercase				)				):
          count[first_str[i]] += 1
          count[second_str[i]] -= 1

     return all(_count == 0 for _count in count.values()				)


if __name__ == "__main__":
     from doctest import testmod

     testmod()
     __a          =			input('Enter the first string ').strip()
     __a          =			input('Enter the second string ').strip()

     __a          =			check_anagrams(input_a, input_b)
     print(F"""{input_a} and {input_b} are {"" if status else "not "}anagrams.""")