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@Denbergvanthijs
Last active April 28, 2024 16:21
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3D spinning donut in Python. Based on the pseudocode from: https://www.a1k0n.net/2011/07/20/donut-math.html
import numpy as np
screen_size = 40
theta_spacing = 0.07
phi_spacing = 0.02
illumination = np.fromiter(".,-~:;=!*#$@", dtype="<U1")
A = 1
B = 1
R1 = 1
R2 = 2
K2 = 5
K1 = screen_size * K2 * 3 / (8 * (R1 + R2))
def render_frame(A: float, B: float) -> np.ndarray:
"""
Returns a frame of the spinning 3D donut.
Based on the pseudocode from: https://www.a1k0n.net/2011/07/20/donut-math.html
"""
cos_A = np.cos(A)
sin_A = np.sin(A)
cos_B = np.cos(B)
sin_B = np.sin(B)
output = np.full((screen_size, screen_size), " ") # (40, 40)
zbuffer = np.zeros((screen_size, screen_size)) # (40, 40)
cos_phi = np.cos(phi := np.arange(0, 2 * np.pi, phi_spacing)) # (315,)
sin_phi = np.sin(phi) # (315,)
cos_theta = np.cos(theta := np.arange(0, 2 * np.pi, theta_spacing)) # (90,)
sin_theta = np.sin(theta) # (90,)
circle_x = R2 + R1 * cos_theta # (90,)
circle_y = R1 * sin_theta # (90,)
x = (np.outer(cos_B * cos_phi + sin_A * sin_B * sin_phi, circle_x) - circle_y * cos_A * sin_B).T # (90, 315)
y = (np.outer(sin_B * cos_phi - sin_A * cos_B * sin_phi, circle_x) + circle_y * cos_A * cos_B).T # (90, 315)
z = ((K2 + cos_A * np.outer(sin_phi, circle_x)) + circle_y * sin_A).T # (90, 315)
ooz = np.reciprocal(z) # Calculates 1/z
xp = (screen_size / 2 + K1 * ooz * x).astype(int) # (90, 315)
yp = (screen_size / 2 - K1 * ooz * y).astype(int) # (90, 315)
L1 = (((np.outer(cos_phi, cos_theta) * sin_B) - cos_A * np.outer(sin_phi, cos_theta)) - sin_A * sin_theta) # (315, 90)
L2 = cos_B * (cos_A * sin_theta - np.outer(sin_phi, cos_theta * sin_A)) # (315, 90)
L = np.around(((L1 + L2) * 8)).astype(int).T # (90, 315)
mask_L = L >= 0 # (90, 315)
chars = illumination[L] # (90, 315)
for i in range(90):
mask = mask_L[i] & (ooz[i] > zbuffer[xp[i], yp[i]]) # (315,)
zbuffer[xp[i], yp[i]] = np.where(mask, ooz[i], zbuffer[xp[i], yp[i]])
output[xp[i], yp[i]] = np.where(mask, chars[i], output[xp[i], yp[i]])
return output
def pprint(array: np.ndarray) -> None:
"""Pretty print the frame."""
print(*[" ".join(row) for row in array], sep="\n")
if __name__ == "__main__":
for _ in range(screen_size * screen_size):
A += theta_spacing
B += phi_spacing
print("\x1b[H")
pprint(render_frame(A, B))
@iijwpy
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iijwpy commented Dec 28, 2023

@Duxedough

Is there a way to slow down the donut? Mine is spinning like a BeyBlade.

For sure! Follow this instructions:

  1. Import sleep function from time module.
import numpy as np
from time import sleep  # Add this module

# Rest of the code [...]
  1. Add sleep function in loop.
# [...] Rest of the code ^

if __name__ == "__main__":
    for _ in range(screen_size * screen_size):
        A += theta_spacing
        B += phi_spacing
        print("\x1b[H")
        pprint(render_frame(A, B))
        sleep(0.05)                # Add sleep funcion here!
                                   # Try diffrent seconds!

Complete "slowed" code :

import numpy as np
from time import sleep  

screen_size = 40
theta_spacing = 0.07
phi_spacing = 0.02
illumination = np.fromiter(".,-~:;=!*#$@", dtype="<U1")

A = 1
B = 1
R1 = 1
R2 = 2
K2 = 5
K1 = screen_size * K2 * 3 / (8 * (R1 + R2))


def render_frame(A: float, B: float) -> np.ndarray:
    """
    Returns a frame of the spinning 3D donut.
    Based on the pseudocode from: https://www.a1k0n.net/2011/07/20/donut-math.html
    """
    cos_A = np.cos(A)
    sin_A = np.sin(A)
    cos_B = np.cos(B)
    sin_B = np.sin(B)

    output = np.full((screen_size, screen_size), " ")  # (40, 40)
    zbuffer = np.zeros((screen_size, screen_size))  # (40, 40)

    cos_phi = np.cos(phi := np.arange(0, 2 * np.pi, phi_spacing))  # (315,)
    sin_phi = np.sin(phi)  # (315,)
    cos_theta = np.cos(theta := np.arange(0, 2 * np.pi, theta_spacing))  # (90,)
    sin_theta = np.sin(theta)  # (90,)
    circle_x = R2 + R1 * cos_theta  # (90,)
    circle_y = R1 * sin_theta  # (90,)

    x = (np.outer(cos_B * cos_phi + sin_A * sin_B * sin_phi, circle_x) - circle_y * cos_A * sin_B).T  # (90, 315)
    y = (np.outer(sin_B * cos_phi - sin_A * cos_B * sin_phi, circle_x) + circle_y * cos_A * cos_B).T  # (90, 315)
    z = ((K2 + cos_A * np.outer(sin_phi, circle_x)) + circle_y * sin_A).T  # (90, 315)
    ooz = np.reciprocal(z)  # Calculates 1/z
    xp = (screen_size / 2 + K1 * ooz * x).astype(int)  # (90, 315)
    yp = (screen_size / 2 - K1 * ooz * y).astype(int)  # (90, 315)
    L1 = (((np.outer(cos_phi, cos_theta) * sin_B) - cos_A * np.outer(sin_phi, cos_theta)) - sin_A * sin_theta)  # (315, 90)
    L2 = cos_B * (cos_A * sin_theta - np.outer(sin_phi, cos_theta * sin_A))  # (315, 90)
    L = np.around(((L1 + L2) * 8)).astype(int).T  # (90, 315)
    mask_L = L >= 0  # (90, 315)
    chars = illumination[L]  # (90, 315)

    for i in range(90):
        mask = mask_L[i] & (ooz[i] > zbuffer[xp[i], yp[i]])  # (315,)

        zbuffer[xp[i], yp[i]] = np.where(mask, ooz[i], zbuffer[xp[i], yp[i]])
        output[xp[i], yp[i]] = np.where(mask, chars[i], output[xp[i], yp[i]])

    return output


def pprint(array: np.ndarray) -> None:
    """Pretty print the frame."""
    print(*[" ".join(row) for row in array], sep="\n")


if __name__ == "__main__":
    for _ in range(screen_size * screen_size):
        A += theta_spacing
        B += phi_spacing
        print("\x1b[H")
        pprint(render_frame(A, B))
        sleep(0.05)                # Add sleep funcion here!
                                   # Try diffrent seconds!

@Duxedough
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Thank you very much, iijwpy! I enjoy my donut much better now. Stay blessed!

@EraserGuy
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miih cant run it

@Mech-08
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Mech-08 commented Apr 24, 2024

My doughnut is not spinning :(. I'm getting snapshots for each timestamp.

if youre using VS code , then you have to put the terminal on fullscreen when you run the code. (click the red circled button in the pic attached). And it runs smoothly Screenshot (6)
Screenshot (5)_LI

for me terminal dosent show up anything after running it yk how to fix?

Screenshot 2024-04-25 001301
Tap on the blue circled button then you will see the terminal

@FaysouRGB
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Nice

@Mech-08
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Mech-08 commented Apr 28, 2024

Nice

thnx :)

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