recursive_art.py

"""TODO: Put your header comment here."""

import random
import math
from PIL import Image


def build_random_function(min_depth, max_depth):
    """Build a random function.

    Builds a random function of depth at least min_depth and depth at most
    max_depth. (See the assignment write-up for the definition of depth
    in this context)

    Args:
        min_depth: the minimum depth of the random function
        max_depth: the maximum depth of the random function

    Returns:
        The randomly generated function represented as a nested list.
        (See the assignment writ-eup for details on the representation of
        these functions)
    """

    if max_depth > 1:
        func = random.choice([1, 2, 3, 4])
        if func == 1:
            return ["prod", build_random_function(min_depth - 1, max_depth - 1), build_random_function(min_depth - 1, max_depth - 1)]
        if func==2:
            return ["cos_pi", build_random_function(min_depth - 1, max_depth - 1)]
        if func == 3:
            return ["sin_pi", build_random_function(min_depth - 1, max_depth - 1)]
        if func == 4:
            return ["avg", build_random_function(min_depth - 1, max_depth - 1), build_random_function(min_depth - 1, max_depth - 1)]
    elif max_depth == 1: #Basecase
        x = ["x"]
        y = ["y"]
        return random.choice([x, y])
    return random.choice([prod, cos, sin, avg])



def evaluate_random_function(f, x, y):  #WORKS
    """Evaluate the random function f with inputs x,y.

    The representation of the function f is defined in the assignment write-up.

    Args:
        f: the function to evaluate
        x: the value of x to be used to evaluate the function
        y: the value of y to be used to evaluate the function

    Returns:
        The function value

    Examples:
        >>> evaluate_random_function(["x"],-0.5, 0.75)
        -0.5
        >>> evaluate_random_function(["y"],0.1,0.02)
        0.02
    """

    if f[0] == "prod":
        return evaluate_random_function(f[1], x, y) * evaluate_random_function(f[2], x, y)
    elif f[0] == "avg":
        return (evaluate_random_function(f[1], x, y) + evaluate_random_function(f[2], x, y))/2
    elif f[0] == "cos_pi":
        return math.cos(math.pi * evaluate_random_function(f[1], x, y))
    elif f[0] == "sin_pi":
        return math.sin(math.pi * evaluate_random_function(f[1], x, y))
    elif f[0] == "x":    # Basecase
        return x
    elif f[0] == "y":
        return y




def remap_interval(val, input_interval_start, input_interval_end, output_interval_start, output_interval_end):

    """Remap a value from one interval to another.

    Given an input value in the interval [input_interval_start,
    input_interval_end], return an output value scaled to fall within
    the output interval [output_interval_start, output_interval_end].

    Args:
        val: the value to remap
        input_interval_start: the start of the interval that contains all
                              possible values for val
        input_interval_end: the end of the interval that contains all possible
                            values for val
        output_interval_start: the start of the interval that contains all
                               possible output values
        output_inteval_end: the end of the interval that contains all possible
                            output values

    Returns:
        The value remapped from the input to the output interval

    Examples:
        >>> remap_interval(0.5, 0, 1, 0, 10)
        5.0
        >>> remap_interval(5, 4, 6, 0, 2)
        1.0
        >>> remap_interval(5, 4, 6, 1, 2)
        1.5
    """
    interval_old = input_interval_end - input_interval_start        #calculate the old interval
    interval_new = output_interval_end - output_interval_start      #calculate the new interval_new
    val_percentage = (val-input_interval_start )/interval_old   #See where the value is in there
    val_new = val_percentage*interval_new + output_interval_start #calculate the new interva
    return (val_new)

def color_map(val): #WORKS
    """Maps input value between -1 and 1 to an integer 0-255, suitable for use as an RGB color code.

    Args:
        val: value to remap, must be a float in the interval [-1, 1]

    Returns:
        An integer in the interval [0,255]

    Examples:
        >>> color_map(-1.0)
        0
        >>> color_map(1.0)
        255
        >>> color_map(0.0)
        127
        >>> color_map(0.5)
        191
    """

    # NOTE: This relies on remap_interval, which you must provide
    color_code = remap_interval(val, -1, 1, 0, 255)
    return int(color_code)


def test_image(filename, x_size=50, y_size=50):
    """Generate a test image with random pixels and save as an image file.

    Args:
        filename: string filename for image (should be .png)
        x_size, y_size: optional args to set image dimensions (default: 350)
    """
    # Create image and loop over all pixels
    im = Image.new("RGB", (x_size, y_size))
    pixels = im.load()
    for i in range(x_size):
        for j in range(y_size):
            x = remap_interval(i, 0, x_size, -1, 1)
            y = remap_interval(j, 0, y_size, -1, 1)
            pixels[i, j] = (random.randint(0, 255),  # Red channel
                            random.randint(0, 255),  # Green channel
                            random.randint(0, 255))  # Blue channel
    im.save(filename)


def generate_art(filename, x_size, y_size):
    """Generate computational art and save as an image file.

    Args:
        filename: string filename for image (should be .png)
        x_size, y_size: optional args to set image dimensions (default: 350)
    """
    # Functions for red, green, and blue channels - where the magic happens!
    red_function = build_random_function(1, 4)
    green_function = build_random_function(2, 3)
    blue_function = build_random_function(2, 3)

    # Create image and loop over all pixels
    im = Image.new("RGB", (x_size, y_size))
    pixels = im.load()
    for i in range(x_size):
        for j in range(y_size):
            x = remap_interval(i, 0, x_size, -1, 1)
            y = remap_interval(j, 0, y_size, -1, 1)
            pixels[i, j] = (
                color_map(evaluate_random_function(red_function, x, y)),
                color_map(evaluate_random_function(green_function, x, y)),
                color_map(evaluate_random_function(blue_function, x, y))
            )

    im.save(filename)

generate_art("example1.png", 500, 500)


# if __name__ == '__main__':
#     import doctest
#     doctest.testmod(verbose=True)

    # Create some computational art!
    # TODO: Un-comment the generate_art function call after you
    #       implement remap_interval and evaluate_random_functions
# generate_art("myart.png")
#
    # Test that PIL is installed correctly
    # TODO: Comment or remove this function call after testing PIL install
    # test_image("noise.png")