badjano

import csv
import operator
from collections import defaultdict,Counter

class DataFrame:
    def __init__(self,data,columns=None):
        if columns is not None:
            self.columns=list(columns)
            self.data=[dict(zip(columns,row))for row in data]
        elif data and isinstance(data[0],dict):

badjano

import sys
import numpy as np
from PIL import Image
import argparse
import os


def create_autostereogram(pattern_path, depth_map_path, output_path, repeat_width=128):
    """
    Generate an autostereogram from a pattern image and a depth map.

badjano

using System;
using System.Linq;
using System.Threading;
using UnityEngine;
using Random = System.Random;

public class PixelThreading : MonoBehaviour
{
    [SerializeField] private Material material;
    [SerializeField] private int width = 512;

badjano

import os
import random

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from transformers import T5Tokenizer, TFT5ForConditionalGeneration

model_sizes = ["small", "base", "large"]
model_name = f'unicamp-dl/ptt5-{model_sizes[1]}-portuguese-vocab'

tokenizer = T5Tokenizer.from_pretrained(model_name)

badjano

names = ["Fulano", "Sicrano", "Beltrano"]
costs = [397.03, 199.42, 0]
individual_cost = sum(costs) / len(costs)
costs_str = "\n".join([f"{a} gastou R${b}" for a, b in zip(names, costs)])
print(f"Sabendo que:\n{costs_str}\n")
print(f"E que o custo total foi R${sum(costs):.02f}\ne o individual foi R${individual_cost:.02f}\n")
for n, c in zip(names, costs):
    specific_cost = individual_cost - c
    word = "receber" if specific_cost < 0 else "pagar"
    print(f"{n} deve {word}: R${abs(specific_cost):.02f}")

badjano

import os
from glob import glob
from moviepy.editor import *
from tkinter import Tk
from tkinter.filedialog import askdirectory
from include.colors import Colors


def get_filename(file_path):
    return file_path.split(os.sep)[-1]

badjano

SIZE=`xdpyinfo | grep dimensions | sed -r 's/^[^0-9]*([0-9]+x[0-9]+).*$/\1/'`

WIDTH=${SIZE%x*}
HEIGHT=${SIZE#*x}
echo "SIZE: $SIZE"
echo "WIDTH: $WIDTH"
echo "HEIGHT: $HEIGHT"
echo

WACOM_SIZE=`xsetwacom get 11 Area`

badjano

import numpy as np
import cv2
from PIL import ImageGrab
from screeninfo import get_monitors

monitors = []
for m in get_monitors():
    monitors.append((m.x, m.y, m.x + m.width, m.y + m.height))

bbox = monitors[0]

badjano

import datetime


class Range:

    def __init__(self, start, end):
        self.start = min(start, end)
        self.end = max(start, end)
        self.empty = self.start == self.end
        self.log = False

badjano

import numpy as np
from PIL import Image

arr = np.random.rand(256, 256, 4) * 255
img = Image.fromarray(arr.astype('uint8'), mode="RGBA")
img.save("random_img.png")
img.show()