import numpy as np


########################################################################################################################
# Make the data using all the code in Shape_Generation_Functions.py
def make_boxes(image_size, densities, shapes):
    """
    :param image_size: [int] - the pixel height and width of the generated arrays
    :param densities: [list] - of the values of each of the active pixels in each shape
    :param shapes: [list] - of the various shapes desired for the dataset
    :return: [list[tuple]] - [Array, Density, Thickness, Shape]
    """

    matrix = []

    for function in shapes:  # Adds different types of shapes

        # Adds different density values
        for i in range(len(densities)):
            # Loops through the possible thickness values
            for j in range(image_size):  # Adds additional Pixels
                thickness = j
                Array = (function(thickness, densities[i], image_size))

                # Checks if there are any 0's left in the array to append
                if (np.where((Array == float(0)))[0] > 0).any():
                    the_tuple = (Array, str(function.__name__), densities[i], thickness)
                    matrix.append(the_tuple)

                # Prevents solids shapes from being appended to the array
                else:
                    break
    return matrix


########################################################################################################################