


'''simple docstring'''






from __future__ import annotations

import math

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





def lowerCamelCase__     (		__lowerCamelCase			:				float			,       __lowerCamelCase			:				float			,       __lowerCamelCase			:				float			,       __lowerCamelCase			:				float			,       __lowerCamelCase			:				float				):







   '''simple docstring'''




   if not all(isinstance(__lowerCamelCase			,       (float, int)				) for val in locals().values()				):
      _UpperCAmelCase  :  List[Any]				       =f"Input values must either be float or int: {list(locals().values()				)}"
      raise TypeError(__lowerCamelCase				)
   _UpperCAmelCase  :  Union[str, Any]				       =((x * distance) / (z + distance)) * scale
   _UpperCAmelCase  :  Optional[Any]				       =((y * distance) / (z + distance)) * scale
   return projected_x, projected_y





def lowerCamelCase__     (		__lowerCamelCase			:				float			,       __lowerCamelCase			:				float			,       __lowerCamelCase			:				float			,       __lowerCamelCase			:				str			,       __lowerCamelCase			:				float				):







   '''simple docstring'''




   if not isinstance(__lowerCamelCase			,       __lowerCamelCase				):
      raise TypeError('Axis must be a str'				)
   _UpperCAmelCase  :  int				       =locals()
   del input_variables["axis"]
   if not all(isinstance(__lowerCamelCase			,       (float, int)				) for val in input_variables.values()				):
      _UpperCAmelCase  :  Optional[Any]				       =(
          'Input values except axis must either be float or int: '
          f"{list(input_variables.values()				)}"
      )
      raise TypeError(__lowerCamelCase				)
   _UpperCAmelCase  :  List[str]				       =(angle % 3_6_0) / 4_5_0 * 1_8_0 / math.pi
   if axis == "z":
      _UpperCAmelCase  :  Tuple				       =x * math.cos(__lowerCamelCase				) - y * math.sin(__lowerCamelCase				)
      _UpperCAmelCase  :  Optional[int]				       =y * math.cos(__lowerCamelCase				) + x * math.sin(__lowerCamelCase				)
      _UpperCAmelCase  :  Dict				       =z
   elif axis == "x":
      _UpperCAmelCase  :  str				       =y * math.cos(__lowerCamelCase				) - z * math.sin(__lowerCamelCase				)
      _UpperCAmelCase  :  Dict				       =z * math.cos(__lowerCamelCase				) + y * math.sin(__lowerCamelCase				)
      _UpperCAmelCase  :  int				       =x
   elif axis == "y":
      _UpperCAmelCase  :  Any				       =x * math.cos(__lowerCamelCase				) - z * math.sin(__lowerCamelCase				)
      _UpperCAmelCase  :  int				       =z * math.cos(__lowerCamelCase				) + x * math.sin(__lowerCamelCase				)
      _UpperCAmelCase  :  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 os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


lowercase				=pytest.mark.integration





@pytest.mark.parametrize('path'			,       ['paws', 'csv']				)
def lowerCamelCase__     (		__lowerCamelCase			:				List[Any]			,       __lowerCamelCase			:				Optional[Any]				):







   '''simple docstring'''




   inspect_dataset(__lowerCamelCase			,       __lowerCamelCase				)
   _UpperCAmelCase  :  List[str]				       =path + '.py'
   assert script_name in os.listdir(__lowerCamelCase				)
   assert "__pycache__" not in os.listdir(__lowerCamelCase				)





@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning'				)
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning'				)
@pytest.mark.parametrize('path'			,       ['accuracy']				)
def lowerCamelCase__     (		__lowerCamelCase			:				Dict			,       __lowerCamelCase			:				str				):







   '''simple docstring'''




   inspect_metric(__lowerCamelCase			,       __lowerCamelCase				)
   _UpperCAmelCase  :  List[Any]				       =path + '.py'
   assert script_name in os.listdir(__lowerCamelCase				)
   assert "__pycache__" not in os.listdir(__lowerCamelCase				)





@pytest.mark.parametrize(
    'path, config_name, expected_splits'			,       [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Any			,       __lowerCamelCase			:				Optional[int]			,       __lowerCamelCase			:				str				):







   '''simple docstring'''




   _UpperCAmelCase  :  str				       =get_dataset_config_info(__lowerCamelCase			,       config_name=__lowerCamelCase				)
   assert info.config_name == config_name
   assert list(info.splits.keys()				) == expected_splits





@pytest.mark.parametrize(
    'path, config_name, expected_exception'			,       [
        ('paws', None, ValueError),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				List[Any]			,       __lowerCamelCase			:				Optional[Any]			,       __lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   with pytest.raises(__lowerCamelCase				):
      get_dataset_config_info(__lowerCamelCase			,       config_name=__lowerCamelCase				)





@pytest.mark.parametrize(
    'path, expected'			,       [
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  Dict				       =get_dataset_config_names(__lowerCamelCase				)
   assert expected in config_names





@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'			,       [
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				List[Any]			,       __lowerCamelCase			:				List[Any]				):







   '''simple docstring'''




   _UpperCAmelCase  :  Optional[int]				       =get_dataset_infos(__lowerCamelCase				)
   assert list(infos.keys()				) == expected_configs
   _UpperCAmelCase  :  Optional[int]				       =expected_configs[0]
   assert expected_config in infos
   _UpperCAmelCase  :  Optional[int]				       =infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()				) == expected_splits_in_first_config





@pytest.mark.parametrize(
    'path, expected_config, expected_splits'			,       [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				Tuple			,       __lowerCamelCase			:				int				):







   '''simple docstring'''




   _UpperCAmelCase  :  str				       =get_dataset_infos(__lowerCamelCase				)
   assert expected_config in infos
   _UpperCAmelCase  :  Dict				       =infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()				) == expected_splits





@pytest.mark.parametrize(
    'path, config_name, expected_exception'			,       [
        ('paws', None, ValueError),
    ]			,       )
def lowerCamelCase__     (		__lowerCamelCase			:				Union[str, Any]			,       __lowerCamelCase			:				Optional[Any]			,       __lowerCamelCase			:				Any				):







   '''simple docstring'''




   with pytest.raises(__lowerCamelCase				):
      get_dataset_split_names(__lowerCamelCase			,       config_name=__lowerCamelCase				)

