badjano

import random
from PIL import ImageDraw, Image
from statistics import median

max_dist = pow(255, 2) + pow(255, 2) + pow(255, 2)
global_power = (2, 2, 2)


def avg(arr):
    return sum(arr) / len(arr)

badjano

from math import floor
import random
from midiutil.MidiFile import MIDIFile

MyMIDI = MIDIFile(1)

track = 0
time = 0
tempo = 130

badjano

import pygame
import time
import random

wants_to_quit = False
pause = False
delay = 1.0
plus_pressed = False
minus_pressed = False
screen_size = (640, 360)

badjano

import math
from moviepy.editor import concatenate, ImageClip
import os
import platform
import subprocess
import random
import torch
# pip install pytorch-pretrained-biggan
from pytorch_pretrained_biggan import (BigGAN, truncated_noise_sample, convert_to_images)
import numpy as np

badjano

// © Badjano 2019
// please donate BTC: 1BADjanox8xaNUYTQgHcXw6mmwuSsE9ZSg
//@version=4
study("BTC Bottom and Top", overlay=true)
float t = (time*0.001-1100000000) * 0.000000001
t1 = plot(pow(t * 5 ,10.0), color=color.green)
t2 = plot(pow(t * 5.65 ,9.0), color=color.green)
t3 = plot(pow(t * 7.75 ,8), color=color.red)
t4 = plot(pow(t * 9 ,7.5), color=color.red)
fill(t1, t2, color=color.green, transp=90)

badjano

#please donate BTC: 1BADjanox8xaNUYTQgHcXw6mmwuSsE9ZSg

import datetime
import locale

import matplotlib.pyplot as plt

locale.setlocale(locale.LC_ALL, 'en_CA.UTF-8')
reward = 50
total_btc = 0

badjano

import bpy

scene = bpy.context.scene
obs = set()

for ob in scene.objects:
    for mod in ob.modifiers:
        if mod.type == 'MIRROR':
            obs.add(mod.mirror_object)

badjano

import bpy

srcs = ['grao_trigo_01_geo','Retopo_coentro1_low','Retopo_coentro2_low','Retopo_coentro3_low']
selected_objects = bpy.context.selected_objects
bpy.ops.object.select_all(action='SELECT')
all_objects = bpy.context.selected_objects
bpy.ops.object.select_all(action='DESELECT')

src_objects = [bpy.data.objects[src] for src in srcs]

badjano

import os
from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_OAEP


def save_file(path, bytes):
    answ = "y"
    if os.path.exists(path):
        answ = input("File %s exists, replace? (y/n) " % path)
    if "y" in answ.lower():

badjano

//@version=4
study("Fibonacci MA rainbow", overlay=true)
period = input(title="MA period", type=input.integer, defval=100)
scale = input(title="Period Scale", type=input.integer, defval=1)
power = input(title="Fibonacci Scale", type=input.float, defval=1, step=0.1)
offset = input(title="Fibonacci Offset", type=input.float, defval=0, step=0.1)

smoothing = input(defval="WMA", options=["RMA", "SMA", "EMA", "WMA", "VWMA", "SMMA", "DEMA", "TEMA", "HullMA", "LSMA"])
almaOffset = input(defval=0.85, minval=0, type=input.float, step=0.05)
almaSigma = input(defval=6, minval=0, type=input.float, step=0.5)