


"""simple docstring"""
from __future__ import annotations

import math

__SCREAMING_SNAKE_CASE							:      Optional[Any]						=      '2020.9.26'
__SCREAMING_SNAKE_CASE							:      Any						=      'xcodz-dot, cclaus, dhruvmanila'







def   _a			( _SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			)      ->			tuple[float, float]:
							if not all(isinstance(_SCREAMING_SNAKE_CASE			,	(float, int)			) for val in locals().values()			):
														snake_case_          =						f"""Input values must either be float or int: {list(locals().values()			)}"""
														raise TypeError(_SCREAMING_SNAKE_CASE			)
							snake_case_          =						((x * distance) / (z + distance)) * scale
							snake_case_          =						((y * distance) / (z + distance)) * scale
							return projected_x, projected_y







def   _a			( _SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			)      ->			tuple[float, float, float]:
							if not isinstance(_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			):
														raise TypeError("""Axis must be a str"""			)
							snake_case_          =						locals()
							del input_variables["axis"]
							if not all(isinstance(_SCREAMING_SNAKE_CASE			,	(float, int)			) for val in input_variables.values()			):
														snake_case_          =						(
														    """Input values except axis must either be float or int: """
														    f"""{list(input_variables.values()			)}"""
														)
														raise TypeError(_SCREAMING_SNAKE_CASE			)
							snake_case_          =						(angle % 360) / 450 * 180 / math.pi
							if axis == "z":
														snake_case_          =						x * math.cos(_SCREAMING_SNAKE_CASE			) - y * math.sin(_SCREAMING_SNAKE_CASE			)
														snake_case_          =						y * math.cos(_SCREAMING_SNAKE_CASE			) + x * math.sin(_SCREAMING_SNAKE_CASE			)
														snake_case_          =						z
							elif axis == "x":
														snake_case_          =						y * math.cos(_SCREAMING_SNAKE_CASE			) - z * math.sin(_SCREAMING_SNAKE_CASE			)
														snake_case_          =						z * math.cos(_SCREAMING_SNAKE_CASE			) + y * math.sin(_SCREAMING_SNAKE_CASE			)
														snake_case_          =						x
							elif axis == "y":
														snake_case_          =						x * math.cos(_SCREAMING_SNAKE_CASE			) - z * math.sin(_SCREAMING_SNAKE_CASE			)
														snake_case_          =						z * math.cos(_SCREAMING_SNAKE_CASE			) + x * math.sin(_SCREAMING_SNAKE_CASE			)
														snake_case_          =						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"""
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE							:      Dict						=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							:      Tuple						=      {
    'google/mobilenet_v1_1.0_224': 'https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json',
    'google/mobilenet_v1_0.75_192': 'https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						List[Any]							 =      """mobilenet_v1"""



							def __init__(			self							: Union[str, Any]						,    UpperCAmelCase_							: str=3						,    UpperCAmelCase_							: List[Any]=224						,    UpperCAmelCase_							: List[Any]=1.0						,    UpperCAmelCase_							: Any=8						,    UpperCAmelCase_							: int="relu6"						,    UpperCAmelCase_							: str=True						,    UpperCAmelCase_							: List[str]=0.999						,    UpperCAmelCase_							: Optional[Any]=0.02						,    UpperCAmelCase_							: List[Any]=0.001						,    **UpperCAmelCase_							: Any						,    )   ->Union[str, Any]:



														"""simple docstring"""



														super().__init__(**UpperCAmelCase_    )

														if depth_multiplier <= 0:
																					raise ValueError("""depth_multiplier must be greater than zero."""    )

														snake_case_          =						num_channels
														snake_case_          =						image_size
														snake_case_          =						depth_multiplier
														snake_case_          =						min_depth
														snake_case_          =						hidden_act
														snake_case_          =						tf_padding
														snake_case_          =						classifier_dropout_prob
														snake_case_          =						initializer_range
														snake_case_          =						layer_norm_eps





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						int							 =      version.parse("""1.11""")



							@property
							def 						lowerCAmelCase    (			self							: Union[str, Any]    )   ->Mapping[str, Mapping[int, str]]:



														"""simple docstring"""



														return OrderedDict([("""pixel_values""", {0: """batch"""})]    )



							@property
							def 						lowerCAmelCase    (			self							: int    )   ->Mapping[str, Mapping[int, str]]:



														"""simple docstring"""



														if self.task == "image-classification":
																					return OrderedDict([("""logits""", {0: """batch"""})]    )
														else:
																					return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]    )



							@property
							def 						lowerCAmelCase    (			self							: int    )   ->float:



														"""simple docstring"""



														return 1E-4



