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56 changes: 56 additions & 0 deletions graphics/bresenham_line_basic.py
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"""
Classic Bresenham's Line Drawing Algorithm
------------------------------------------

Draws a line between two points (x1, y1) and (x2, y2)
for slope 0 ≤ m ≤ 1, without floating-point operations.

Reference : https://www.geeksforgeeks.org/dsa/bresenhams-line-generation-algorithm/

>>> classic_bresenham_line((0, 0), (5, 3))
[(0, 0), (1, 1), (2, 1), (3, 2), (4, 2), (5, 3)]
"""

import matplotlib.pyplot as plt


def classic_bresenham_line(
p1: tuple[int, int], p2: tuple[int, int]
) -> list[tuple[int, int]]:
x1, y1 = p1
x2, y2 = p2

dx = x2 - x1
dy = y2 - y1
p = 2 * dy - dx
y = y1
points = []

for x in range(x1, x2 + 1):
points.append((x, y))
if p < 0:
p += 2 * dy
else:
y += 1
p += 2 * (dy - dx)
return points


if __name__ == "__main__":
import doctest

doctest.testmod()

x1 = int(input("Enter x1: "))
y1 = int(input("Enter y1: "))
x2 = int(input("Enter x2: "))
y2 = int(input("Enter y2: "))

points = classic_bresenham_line((x1, y1), (x2, y2))
print("Generated points:", points)

xs, ys = zip(*points)
plt.plot(xs, ys, marker="o")
plt.title("Classic Bresenham's Line Algorithm")
plt.grid()
plt.show()
64 changes: 64 additions & 0 deletions graphics/bresenham_line_generalized.py
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"""
Generalized Bresenham's Line Drawing Algorithm
----------------------------------------------

Handles all possible line slopes and directions.

Reference:
https://www.geeksforgeeks.org/dsa/bresenhams-line-generation-algorithm/

>>> generalized_bresenham_line((0, 0), (5, 3))
[(0, 0), (1, 1), (2, 1), (3, 2), (4, 2), (5, 3)]
>>> generalized_bresenham_line((5, 5), (2, 3))
[(5, 5), (4, 4), (3, 4), (2, 3)]
"""

import matplotlib.pyplot as plt


def generalized_bresenham_line(
p1: tuple[int, int], p2: tuple[int, int]
) -> list[tuple[int, int]]:
x1, y1 = p1
x2, y2 = p2
dx = abs(x2 - x1)
dy = abs(y2 - y1)
sx = 1 if x1 < x2 else -1
sy = 1 if y1 < y2 else -1
err = dx - dy

points = []

while True:
points.append((x1, y1))
if x1 == x2 and y1 == y2:
break
e2 = 2 * err
if e2 > -dy:
err -= dy
x1 += sx
if e2 < dx:
err += dx
y1 += sy

return points


if __name__ == "__main__":
import doctest

doctest.testmod()

x1 = int(input("Enter x1: "))
y1 = int(input("Enter y1: "))
x2 = int(input("Enter x2: "))
y2 = int(input("Enter y2: "))

points = generalized_bresenham_line((x1, y1), (x2, y2))
print("Generated points:", points)

xs, ys = zip(*points)
plt.plot(xs, ys, marker="o")
plt.title("Generalized Bresenham's Line Algorithm (All Slopes)")
plt.grid()
plt.show()
78 changes: 78 additions & 0 deletions graphics/midpoint_line.py
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"""
Midpoint Line Drawing Algorithm
-------------------------------

Handles all lines with arbitrary slopes using the midpoint method.

Referece:
https://www.geeksforgeeks.org/dsa/mid-point-line-generation-algorithm/

>>> midpoint_line((0, 0), (5, 3))
[(0, 0), (1, 1), (2, 1), (3, 2), (4, 2), (5, 3)]
>>> midpoint_line((5, 5), (2, 3))
[(5, 5), (4, 4), (3, 4), (2, 3)]
"""

import matplotlib.pyplot as plt


def midpoint_line(p1: tuple[int, int], p2: tuple[int, int]) -> list[tuple[int, int]]:
x1, y1 = p1
x2, y2 = p2

points = []

dx = x2 - x1
dy = y2 - y1

# Determine the direction of the step
sx = 1 if dx >= 0 else -1
sy = 1 if dy >= 0 else -1

dx = abs(dx)
dy = abs(dy)

if dx > dy:
# Shallow slope: iterate over x
d = dy - dx / 2
x, y = x1, y1
while x != x2 + sx:
points.append((x, y))
if d >= 0:
y += sy
d -= dx
x += sx
d += dy
else:
# Steep slope: iterate over y
d = dx - dy / 2
x, y = x1, y1
while y != y2 + sy:
points.append((x, y))
if d >= 0:
x += sx
d -= dy
y += sy
d += dx

return points


if __name__ == "__main__":
import doctest

doctest.testmod()

x1 = int(input("Enter x1: "))
y1 = int(input("Enter y1: "))
x2 = int(input("Enter x2: "))
y2 = int(input("Enter y2: "))

points = midpoint_line((x1, y1), (x2, y2))
print("Generated points:", points)

xs, ys = zip(*points)
plt.plot(xs, ys, marker="o")
plt.title("Midpoint Line Drawing Algorithm")
plt.grid()
plt.show()