badjano

import json
import os
import pickle
import random
import uuid


class PersistentClass:
    reserved_keys = ["__dict__", "filename", "debug", "autosave", "file_ext"]

badjano

|46281                |42655                |1794   |ultrabrite       |                     |sewers of d'oh!
|nightride-0          |nightride            |1794   |vladcom          |                     |night ride
|toyrogue-0           |toyrogue             |1794   |extar            |                     |toyrogue 1.0
|metrash-2            |metrash              |1794   |st33d            |                     |metrash
|pakpok-0             |pakpok               |1794   |st33d            |                     |pakpok
|cgprospector-0       |cgprospector         |1794   |st33d            |                     |cgprospector
|celeste_classic_2-5  |celeste_classic_2    |1794   |noel             |                     |celeste classic 2
|dollarone_nightatthemuseum-0 |dollarone_nightatthemuseum |1794   |dollarone        |                     |dollarone_nightatthemuseum
|picpots-0            |picpots              |1794   |enrohk           |                     |picpots
|flipknight-0         |flipknight           |1794   

badjano

import fitz  # pip install pymupdf

pdffile = "file.pdf"
doc = fitz.open(pdffile)
for i in range(doc.pageCount):
    page = doc.loadPage(i)
    zoom = 5
    pix = page.getPixmap(matrix=fitz.Matrix(zoom, zoom))
    output = "file_%d.png" % i
    pix.writePNG(output)

badjano

import hashlib
from glob import glob
import os
import cv2
import subprocess


def md5_for_file(path):
    with open(path, 'rb') as f:
        md5 = hashlib.md5()

badjano

from threading import Thread

import cv2


def connect(user, pwd, ip="192.168.0.1", port=88):
    cap = cv2.VideoCapture('rtsp://%s:%s@%s:%d/videoMain' % (user, pwd, ip, port))

    while True:
        ret, frame = cap.read()

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)

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

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 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

#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