






from __future__ import annotations

import math

__lowerCamelCase :      Tuple										=				"""2020.9.26"""
__lowerCamelCase :      Tuple										=				"""xcodz-dot, cclaus, dhruvmanila"""







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







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

import matplotlib.pyplot as plt
import torch







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int       ):
	for param in module.parameters():
		snake_case__			:				Tuple       =  False







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				Any       =  "cuda" if torch.cuda.is_available() else "cpu"
	if torch.backends.mps.is_available() and torch.backends.mps.is_built():
		snake_case__			:				List[Any]       =  "mps"
	if device == "mps":
		print(
		    "WARNING: MPS currently doesn't seem to work, and messes up backpropagation without any visible torch"
		    " errors. I recommend using CUDA on a colab notebook or CPU instead if you're facing inexplicable issues"
		    " with generations."       )
	return device







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							str       ):
	snake_case__			:				List[str]       =  plt.imshow(snake_case_       )
	fig.axes.get_xaxis().set_visible(snake_case_       )
	fig.axes.get_yaxis().set_visible(snake_case_       )
	plt.show()







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				str       =  datetime.now()
	snake_case__			:				Optional[Any]       =  current_time.strftime("%H:%M:%S"       )
	return timestamp



