

"""simple docstring"""





from __future__ import annotations

import math

_a							=							'2020.9.26'
_a							=							'xcodz-dot, cclaus, dhruvmanila'




def   _A  (  UpperCamelCase_					:	float,      UpperCamelCase_					:	float,      UpperCamelCase_					:	float,      UpperCamelCase_					:	float,      UpperCamelCase_					:	float)     ->						tuple[float, float]:
   '''simple docstring'''


   if not all(isinstance(UpperCamelCase_,      (float, int)) for val in locals().values()):
      __lowercase								=						F"""Input values must either be float or int: {list(locals().values())}"""
      raise TypeError(UpperCamelCase_)
   __lowercase								=						((x * distance) / (z + distance)) * scale
   __lowercase								=						((y * distance) / (z + distance)) * scale
   return projected_x, projected_y




def   _A  (  UpperCamelCase_					:	float,      UpperCamelCase_					:	float,      UpperCamelCase_					:	float,      UpperCamelCase_					:	str,      UpperCamelCase_					:	float)     ->						tuple[float, float, float]:
   '''simple docstring'''


   if not isinstance(UpperCamelCase_,      UpperCamelCase_):
      raise TypeError("Axis must be a str")
   __lowercase								=						locals()
   del input_variables["axis"]
   if not all(isinstance(UpperCamelCase_,      (float, int)) for val in input_variables.values()):
      __lowercase								=						(
          "Input values except axis must either be float or int: "
          F"""{list(input_variables.values())}"""
      )
      raise TypeError(UpperCamelCase_)
   __lowercase								=						(angle % 360) / 450 * 180 / math.pi
   if axis == "z":
      __lowercase								=						x * math.cos(UpperCamelCase_) - y * math.sin(UpperCamelCase_)
      __lowercase								=						y * math.cos(UpperCamelCase_) + x * math.sin(UpperCamelCase_)
      __lowercase								=						z
   elif axis == "x":
      __lowercase								=						y * math.cos(UpperCamelCase_) - z * math.sin(UpperCamelCase_)
      __lowercase								=						z * math.cos(UpperCamelCase_) + y * math.sin(UpperCamelCase_)
      __lowercase								=						x
   elif axis == "y":
      __lowercase								=						x * math.cos(UpperCamelCase_) - z * math.sin(UpperCamelCase_)
      __lowercase								=						z * math.cos(UpperCamelCase_) + x * math.sin(UpperCamelCase_)
      __lowercase								=						y
   else:
      raise ValueError("not a valid axis, choose one of 'x', 'y', 'z'")

   return new_x, new_y, new_z


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(F"{convert_to_ad(1.0, 2.0, 3.0, 10.0, 10.0) = }")
   print(F"{rotate(1.0, 2.0, 3.0, 'y', 90.0) = }")







"""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							=							'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   _A  (  )     ->						Tuple:
   '''simple docstring'''


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




def   _A  (  UpperCamelCase_					:	Union[str, Any]=None)     ->						Union[str, Any]:
   '''simple docstring'''


   if subparsers is not None:
      __lowercase								=						subparsers.add_parser("config",      description=UpperCamelCase_)
   else:
      __lowercase								=						argparse.ArgumentParser("Accelerate config command",      description=UpperCamelCase_)

   parser.add_argument(
       "--config_file",      default=UpperCamelCase_,      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=UpperCamelCase_)
   return parser




def   _A  (  UpperCamelCase_					:	Dict)     ->						str:
   '''simple docstring'''


   __lowercase								=						get_user_input()
   if args.config_file is not None:
      __lowercase								=						args.config_file
   else:
      if not os.path.isdir(UpperCamelCase_):
         os.makedirs(UpperCamelCase_)
      __lowercase								=						default_yaml_config_file

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




def   _A  (  )     ->						Optional[Any]:
   '''simple docstring'''


   __lowercase								=						config_command_parser()
   __lowercase								=						parser.parse_args()
   config_command(UpperCamelCase_)


if __name__ == "__main__":
   main()




