
from __future__ import annotations

import math

SCREAMING_SNAKE_CASE							:List[Any]										=    '2020.9.26'
SCREAMING_SNAKE_CASE							:List[Any]										=    'xcodz-dot, cclaus, dhruvmanila'


def 						UpperCAmelCase      (     a_		,       a_		,       a_		,       a_		,       a_						)		->     tuple[float, float]:







				"""simple docstring"""



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


def 						UpperCAmelCase      (     a_		,       a_		,       a_		,       a_		,       a_						)		->     tuple[float, float, float]:







				"""simple docstring"""



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


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE							:int										=    {'configuration_encoder_decoder': ['EncoderDecoderConfig']}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE							:Dict										=    ['EncoderDecoderModel']

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE							:int										=    ['TFEncoderDecoderModel']

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE							:Optional[int]										=    ['FlaxEncoderDecoderModel']

if TYPE_CHECKING:
					from .configuration_encoder_decoder import EncoderDecoderConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_encoder_decoder import EncoderDecoderModel

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
					import sys

					SCREAMING_SNAKE_CASE							:int										=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
