

"""simple docstring"""






from __future__ import annotations

import math

_lowerCAmelCase						=		"""2020.9.26"""
_lowerCAmelCase						=		"""xcodz-dot, cclaus, dhruvmanila"""

def 		lowerCamelCase__		(					_lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase   ):

    '''simple docstring'''



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

def 		lowerCamelCase__		(					_lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase   ):

    '''simple docstring'''



    if not isinstance(_lowerCamelCase ,   _lowerCamelCase   ):
        raise TypeError('Axis must be a str'   )
    _lowerCAmelCase       :   Union[str, Any]  =    locals()
    del input_variables["axis"]
    if not all(isinstance(_lowerCamelCase ,   (float, int)   ) for val in input_variables.values()   ):
        _lowerCAmelCase       :   List[str]  =    (
            'Input values except axis must either be float or int: '
            f"""{list(input_variables.values()   )}"""
        )
        raise TypeError(_lowerCamelCase   )
    _lowerCAmelCase       :   Tuple  =    (angle % 360) / 450 * 180 / math.pi
    if axis == "z":
        _lowerCAmelCase       :   Tuple  =    x * math.cos(_lowerCamelCase   ) - y * math.sin(_lowerCamelCase   )
        _lowerCAmelCase       :   Optional[Any]  =    y * math.cos(_lowerCamelCase   ) + x * math.sin(_lowerCamelCase   )
        _lowerCAmelCase       :   List[Any]  =    z
    elif axis == "x":
        _lowerCAmelCase       :   str  =    y * math.cos(_lowerCamelCase   ) - z * math.sin(_lowerCamelCase   )
        _lowerCAmelCase       :   List[Any]  =    z * math.cos(_lowerCamelCase   ) + y * math.sin(_lowerCamelCase   )
        _lowerCAmelCase       :   Dict  =    x
    elif axis == "y":
        _lowerCAmelCase       :   Optional[Any]  =    x * math.cos(_lowerCamelCase   ) - z * math.sin(_lowerCamelCase   )
        _lowerCAmelCase       :   Optional[int]  =    z * math.cos(_lowerCamelCase   ) + x * math.sin(_lowerCamelCase   )
        _lowerCAmelCase       :   Optional[Any]  =    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"""






import logging
import os

from .state import PartialState







class 	__UpperCamelCase    (    logging.LoggerAdapter						):

  @staticmethod
  def __lowerCamelCase		(		_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Optional[Any]  =    PartialState()
      return not main_process_only or (main_process_only and state.is_main_process)







  def __lowerCamelCase		(		self    ,_A    ,_A    ,*_A    ,**_A      ):
      '''simple docstring'''

      if PartialState._shared_state == {}:
          raise RuntimeError(
              'You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'      )
      _lowerCAmelCase       :   Tuple  =    kwargs.pop('main_process_only'    ,_A      )
      _lowerCAmelCase       :   Any  =    kwargs.pop('in_order'    ,_A      )

      if self.isEnabledFor(_A      ):
          if self._should_log(_A      ):
              _lowerCAmelCase,					_lowerCAmelCase       :   Optional[int]  =    self.process(_A    ,_A      )
              self.logger.log(_A    ,_A    ,*_A    ,**_A      )

          elif in_order:
              _lowerCAmelCase       :   str  =    PartialState()
              for i in range(state.num_processes      ):
                  if i == state.process_index:
                      _lowerCAmelCase,					_lowerCAmelCase       :   Optional[int]  =    self.process(_A    ,_A      )
                      self.logger.log(_A    ,_A    ,*_A    ,**_A      )
                  state.wait_for_everyone()





def 		lowerCamelCase__		(					_lowerCamelCase ,   _lowerCamelCase = None   ):

    '''simple docstring'''



    if log_level is None:
        _lowerCAmelCase       :   Union[str, Any]  =    os.environ.get('ACCELERATE_LOG_LEVEL' ,   _lowerCamelCase   )
    _lowerCAmelCase       :   int  =    logging.getLogger(_lowerCamelCase   )
    if log_level is not None:
        logger.setLevel(log_level.upper()   )
        logger.root.setLevel(log_level.upper()   )
    return MultiProcessAdapter(_lowerCamelCase ,   {}   )





