





from __future__ import annotations

import math

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






def lowerCamelCase__   (							snake_case_     :  float	,				snake_case_     :  float	,				snake_case_     :  float	,				snake_case_     :  float	,				snake_case_     :  float	)				->    tuple[float, float]:
			if not all(isinstance(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(snake_case_	)
			__snake_case								=       ((x * distance) / (z + distance)) * scale
			__snake_case								=       ((y * distance) / (z + distance)) * scale
			return projected_x, projected_y






def lowerCamelCase__   (							snake_case_     :  float	,				snake_case_     :  float	,				snake_case_     :  float	,				snake_case_     :  str	,				snake_case_     :  float	)				->    tuple[float, float, float]:
			if not isinstance(snake_case_	,				snake_case_	):
						raise TypeError('''Axis must be a str'''	)
			__snake_case								=       locals()
			del input_variables["axis"]
			if not all(isinstance(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(snake_case_	)
			__snake_case								=       (angle % 360) / 450 * 180 / math.pi
			if axis == "z":
						__snake_case								=       x * math.cos(snake_case_	) - y * math.sin(snake_case_	)
						__snake_case								=       y * math.cos(snake_case_	) + x * math.sin(snake_case_	)
						__snake_case								=       z
			elif axis == "x":
						__snake_case								=       y * math.cos(snake_case_	) - z * math.sin(snake_case_	)
						__snake_case								=       z * math.cos(snake_case_	) + y * math.sin(snake_case_	)
						__snake_case								=       x
			elif axis == "y":
						__snake_case								=       x * math.cos(snake_case_	) - z * math.sin(snake_case_	)
						__snake_case								=       z * math.cos(snake_case_	) + x * math.sin(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) = }')








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case_           =      {
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_           =      [
        'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'GitForCausalLM',
        'GitModel',
        'GitPreTrainedModel',
        'GitVisionModel',
    ]

if TYPE_CHECKING:
    from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
    from .processing_git import GitProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )

else:
    import sys

    snake_case_           =      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

