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gret_generatorkits.py
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gret_generatorkits.py
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from functools import partial
from gret_tkinter_widgets import *
from multiprocessing import cpu_count, Pool
from numpy import empty, array, shape, sqrt, amin
from noise import snoise2
from PIL import Image, ImageTk
from tkinter import Frame, Button, Scale, SUNKEN, HORIZONTAL
def generate_simplex_row(x, size, scale=100.0, octaves=6, persistence=0.5, base=0.0):
"""
generate_simplex_row - function of generating one row of simplex noise.
:param x: number of row, just for purposes of generation 2d array
:param size: size of the main array, here it is size of the row
:param scale: for controlling speed of changes in the array
:param octaves: number of layers, each with more detail
:param persistence: influence of each octave on the main one
:param base: seed for the array generation (same seed - same output)
:return: list of simplex noise values, of given size
"""
noise_row = []
x_scale = x / scale
for y in range(size):
noise_row.append(snoise2(x_scale, y / scale,
octaves=octaves, persistence=persistence,
base=base))
return noise_row
class GeneratorKit(Frame):
"""
Generator Kit Frame - it manages creation of noise arrays.
Noise array is created with help of simplex noise algorithm.
Parameters of noise:
- base: seed for algorithm, with same seed same base array will be created
- scale: the bigger the scale the bigger magnitude of detail
- octaves: number of levels of detail, less makes "smoothier" noise
- persistence: how much every octave affects main one
Other parameters:
- factor: how much one array affects other arrays
"""
def __init__(self, parent):
Frame.__init__(self, parent, relief='sunken', bd=1)
self.root = parent.master
self.main_bg = parent['bg']
self.config(bg=self.main_bg)
self.array = None
# generator menu
# base = seed for generator
self.base_entry = LabeledEntry(self, text="Base: ", validate_for='int', value=0)
self.base_entry.grid(row=0, column=0, sticky='e')
# scale = how much to zoom in
self.scale_entry = LabeledEntry(self, text="Scale: ", validate_for='int', value=400)
self.scale_entry.grid(row=0, column=1, sticky='e')
# octaves = number of layers of detail
self.octaves_entry = LabeledEntry(self, text="Octaves: ", validate_for='int', value=6)
self.octaves_entry.grid(row=0, column=2, sticky='e')
# persistence = factor of contribution of higher octaves
self.persistence_entry = LabeledEntry(self, text="Persistence: ", validate_for='float', value=0.5)
self.persistence_entry.grid(row=1, column=0, columnspan=2, sticky='e')
# factor = contribution of this array in the whole map
self.factor_entry = LabeledEntry(self, text="Factor: ", validate_for='float', value=1)
self.factor_entry.grid(row=1, column=2, sticky='e')
self.generate_btn = Button(self, text="Generate", command=self.generate_array)
self.generate_btn.grid(row=2, column=0, padx=5, pady=5, sticky='we')
self.show_btn = Button(self, text="Show", command=self.show_array)
self.show_btn.grid(row=2, column=1, padx=5, pady=5, sticky='we')
self.show_btn.grid_remove()
self.destroy_btn = Button(self, text="Delete", command=self.self_destroy, bg='darkred', fg='lightgray')
self.destroy_btn.grid(row=2, column=2, padx=5, pady=5, sticky='we')
def generate_array(self, refresh_map=True):
self.array = empty(self.root.MAP_SIZE, dtype=float)
if cpu_count() > 6:
p = Pool(6)
else:
p = Pool()
simplex_row_partial = partial(generate_simplex_row,
size=self.root.MAP_SIZE[1],
scale=float(self.scale_entry.get()),
octaves=int(self.octaves_entry.get()),
persistence=float(self.persistence_entry.get()),
base=float(self.base_entry.get()))
list_tmp = p.map(simplex_row_partial, range(self.root.MAP_SIZE[0]))
self.array = array(list_tmp)
# normalize values to the range: 0-1
if self.array.ptp():
self.array = ((self.array - amin(self.array)) / self.array.ptp())
if refresh_map:
if self.root.img is None or self.root.displayed_frame is self:
self.show_array()
elif self.root.displayed_frame is self.root:
self.root.display_map()
self.show_btn.grid()
def show_array(self):
# normalize values to 0-levels and rescale to 0-255 (grayscale)
noise_map = (self.array * self.root.levels).astype(int) / self.root.levels * 255
self.root.img = ImageTk.PhotoImage(image=Image.fromarray(noise_map))
self.root.canvas.itemconfig(self.root.map_img, image=self.root.img)
self.root.displayed_frame = self
def self_destroy(self):
self.root.dynamic_frames.remove(self)
self.destroy()
self.root.group_generation_kits()
self.root.display_map()
class GradientKit(Frame):
"""
Gradient Kit Frame - it manages gradient pattern.
Gradient pattern allows modification of arrays.
Parameters:
- Minimum value gradient's radius: radius for max weakening of array's values
- Maximum value gradient's radius: radius for max magnifying of array's values
"""
def __init__(self, parent):
Frame.__init__(self, parent, bd=1, relief=SUNKEN)
self.root = parent.master
self.main_bg = parent['bg']
self.config(bg=self.main_bg)
# basic array for faster response of changing pattern's parameters, but it takes 2x RAM!
self.circle_basic_array = None
self.array = None
self.slider_events = ["<ButtonRelease-1>",
"<ButtonRelease-3>"]
# gradient menu
self.generate_btn = Button(self, text="Make gradient", command=self.generate_gradient)
self.generate_btn.grid(row=0, column=0, padx=5, pady=5, sticky='nw')
self.show_btn = Button(self, text="Show gradient", command=self.show_array)
self.show_btn.grid(row=0, column=1, padx=5, pady=5, sticky='nw')
self.show_btn.grid_remove()
self.clear_btn = Button(self, text="Clear gradient",
command=self.clear_gradient, bg='darkred', fg='lightgray')
self.clear_btn.grid(row=0, column=2, padx=5, pady=5, sticky='nw')
self.clear_btn.grid_remove()
# sliders - radius range 0-1 where 0 is exact middle of array and 1 is the most far corner
self.min_value_radius = Scale(self, from_=0, to=1, resolution=0.01, length=275,
orient=HORIZONTAL, label="Minimum value gradient's radius")
self.min_value_radius.grid(row=1, column=0, padx=5, pady=5, columnspan=3)
for event in self.slider_events:
self.min_value_radius.bind(event, self.change_factor_event)
self.max_value_radius = Scale(self, from_=0, to=1, resolution=0.01, length=275,
orient=HORIZONTAL, label="Maximum value gradient's radius")
self.max_value_radius.grid(row=2, column=0, padx=5, pady=5, columnspan=3)
for event in self.slider_events:
self.max_value_radius.bind(event, self.change_factor_event)
self.max_value_radius.set(1)
def change_factor_event(self, event):
if self.array is not None:
self.generate_gradient()
def generate_gradient(self, refresh_map=True):
if self.circle_basic_array is None \
or shape(self.circle_basic_array)[0] != self.root.MAP_SIZE[0]\
or shape(self.circle_basic_array)[1] != self.root.MAP_SIZE[1]:
self.circle_basic_array = empty(self.root.MAP_SIZE, dtype=float)
for i in range(self.root.MAP_SIZE[0] // 2):
a = self.root.MAP_SIZE[0] // 2 - i
for j in range(self.root.MAP_SIZE[1] // 2):
# old squared gradient formula: x = i if i < j else j
b = self.root.MAP_SIZE[1] // 2 - j
x = - sqrt(a*a + b*b)
self.circle_basic_array[i][j] = x
self.circle_basic_array[i][self.root.MAP_SIZE[1]-j-1] = x
self.circle_basic_array[self.root.MAP_SIZE[0]-i-1][j] = x
self.circle_basic_array[self.root.MAP_SIZE[0]-i-1][self.root.MAP_SIZE[1]-j-1] = x
if self.max_value_radius.get() < self.min_value_radius.get():
# allowing reversing gradient pattern (middle is suppressed instead of borders)
self.array = 1 - self.circle_basic_array
else:
self.array = self.circle_basic_array.copy()
# convert radius into array index
x_of_border = int(self.root.MAP_SIZE[0] * (1 - self.max_value_radius.get()) / 2)
y_of_border = int(self.root.MAP_SIZE[1] * (1 - self.max_value_radius.get()) / 2)
self.array[self.array < self.array[x_of_border, y_of_border]] = \
self.array[x_of_border, y_of_border]
if self.max_value_radius.get() == self.min_value_radius.get():
# in case of equal values, make sure indexes differ at least by 1 (pattern gets blank otherwise)
x_of_border += 1
y_of_border += 1
else:
x_of_border = int(self.root.MAP_SIZE[0] * (1 - self.min_value_radius.get()) / 2)
y_of_border = int(self.root.MAP_SIZE[1] * (1 - self.min_value_radius.get()) / 2)
self.array[self.array > self.array[x_of_border, y_of_border]] = \
self.array[x_of_border, y_of_border]
# normalize values to the range: 0-1
if self.array.ptp():
self.array = ((self.array - amin(self.array)) / self.array.ptp())
if refresh_map:
if self.root.img is None or self.root.displayed_frame is self:
self.show_array()
elif self.root.displayed_frame is self.root:
self.root.display_map()
self.show_btn.grid()
self.clear_btn.grid()
def show_array(self):
# normalize values to 0-levels and rescale to 0-255 (grayscale)
noise_map = (self.array * self.root.levels).astype(int) / self.root.levels * 255
self.root.img = ImageTk.PhotoImage(image=Image.fromarray(noise_map))
self.root.canvas.itemconfig(self.root.map_img, image=self.root.img)
self.root.displayed_frame = self
def clear_gradient(self):
self.show_btn.grid_remove()
self.clear_btn.grid_remove()
self.array = None
self.root.display_map()