Merge pull request #2 from TheAlgorithms/master

update fork

Author: algobytewise

graphics/mandelbrot.py

@@ -0,0 +1,150 @@
+"""
+The Mandelbrot set is the set of complex numbers "c" for which the series
+"z_(n+1) = z_n * z_n + c" does not diverge, i.e. remains bounded. Thus, a
+complex number "c" is a member of the Mandelbrot set if, when starting with
+"z_0 = 0" and applying the iteration repeatedly, the absolute value of
+"z_n" remains bounded for all "n > 0". Complex numbers can be written as
+"a + b*i": "a" is the real component, usually drawn on the x-axis, and "b*i"
+is the imaginary component, usually drawn on the y-axis. Most visualizations
+of the Mandelbrot set use a color-coding to indicate after how many steps in
+the series the numbers outside the set diverge. Images of the Mandelbrot set
+exhibit an elaborate and infinitely complicated boundary that reveals
+progressively ever-finer recursive detail at increasing magnifications, making
+the boundary of the Mandelbrot set a fractal curve.
+(description adapted from https://en.wikipedia.org/wiki/Mandelbrot_set )
+(see also https://en.wikipedia.org/wiki/Plotting_algorithms_for_the_Mandelbrot_set )
+"""
+
+
+import colorsys
+
+from PIL import Image  # type: ignore
+
+
+def get_distance(x: float, y: float, max_step: int) -> float:
+    """
+    Return the relative distance (= step/max_step) after which the complex number
+    constituted by this x-y-pair diverges. Members of the Mandelbrot set do not
+    diverge so their distance is 1.
+
+    >>> get_distance(0, 0, 50)
+    1.0
+    >>> get_distance(0.5, 0.5, 50)
+    0.061224489795918366
+    >>> get_distance(2, 0, 50)
+    0.0
+    """
+    a = x
+    b = y
+    for step in range(max_step):
+        a_new = a * a - b * b + x
+        b = 2 * a * b + y
+        a = a_new
+
+        # divergence happens for all complex number with an absolute value
+        # greater than 4
+        if a * a + b * b > 4:
+            break
+    return step / (max_step - 1)
+
+
+def get_black_and_white_rgb(distance: float) -> tuple:
+    """
+    Black&white color-coding that ignores the relative distance. The Mandelbrot
+    set is black, everything else is white.
+
+    >>> get_black_and_white_rgb(0)
+    (255, 255, 255)
+    >>> get_black_and_white_rgb(0.5)
+    (255, 255, 255)
+    >>> get_black_and_white_rgb(1)
+    (0, 0, 0)
+    """
+    if distance == 1:
+        return (0, 0, 0)
+    else:
+        return (255, 255, 255)
+
+
+def get_color_coded_rgb(distance: float) -> tuple:
+    """
+    Color-coding taking the relative distance into account. The Mandelbrot set
+    is black.
+
+    >>> get_color_coded_rgb(0)
+    (255, 0, 0)
+    >>> get_color_coded_rgb(0.5)
+    (0, 255, 255)
+    >>> get_color_coded_rgb(1)
+    (0, 0, 0)
+    """
+    if distance == 1:
+        return (0, 0, 0)
+    else:
+        return tuple(round(i * 255) for i in colorsys.hsv_to_rgb(distance, 1, 1))
+
+
+def get_image(
+    image_width: int = 800,
+    image_height: int = 600,
+    figure_center_x: float = -0.6,
+    figure_center_y: float = 0,
+    figure_width: float = 3.2,
+    max_step: int = 50,
+    use_distance_color_coding: bool = True,
+) -> Image.Image:
+    """
+    Function to generate the image of the Mandelbrot set. Two types of coordinates
+    are used: image-coordinates that refer to the pixels and figure-coordinates
+    that refer to the complex numbers inside and outside the Mandelbrot set. The
+    figure-coordinates in the arguments of this function determine which section
+    of the Mandelbrot set is viewed. The main area of the Mandelbrot set is
+    roughly between "-1.5 < x < 0.5" and "-1 < y < 1" in the figure-coordinates.
+
+    >>> get_image().load()[0,0]
+    (255, 0, 0)
+    >>> get_image(use_distance_color_coding = False).load()[0,0]
+    (255, 255, 255)
+    """
+    img = Image.new("RGB", (image_width, image_height))
+    pixels = img.load()
+
+    # loop through the image-coordinates
+    for image_x in range(image_width):
+        for image_y in range(image_height):
+
+            # determine the figure-coordinates based on the image-coordinates
+            figure_height = figure_width / image_width * image_height
+            figure_x = figure_center_x + (image_x / image_width - 0.5) * figure_width
+            figure_y = figure_center_y + (image_y / image_height - 0.5) * figure_height
+
+            distance = get_distance(figure_x, figure_y, max_step)
+
+            # color the corresponding pixel based on the selected coloring-function
+            if use_distance_color_coding:
+                pixels[image_x, image_y] = get_color_coded_rgb(distance)
+            else:
+                pixels[image_x, image_y] = get_black_and_white_rgb(distance)
+
+    return img
+
+
+if __name__ == "__main__":
+    import doctest
+
+    doctest.testmod()
+
+    # colored version, full figure
+    img = get_image()
+
+    # uncomment for colored version, different section, zoomed in
+    # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
+    # figure_width = 0.8)
+
+    # uncomment for black and white version, full figure
+    # img = get_image(use_distance_color_coding = False)
+
+    # uncomment to save the image
+    # img.save("mandelbrot.png")
+
+    img.show()