Ronald-TR

import pytesseract as ocr

from PIL import Image


phrase = ocr.image_to_string(Image.open('phrase.jpg'), lang='por')
print(phrase)

Ronald-TR

import pytesseract as ocr
import numpy as np
import cv2

from PIL import Image

# tipando a leitura para os canais de ordem RGB
imagem = Image.open('saoluis.jpg').convert('RGB')

# convertendo em um array editável de numpy[x, y, CANALS]

Ronald-TR

from django.__main__ import management
from importlib import *
import os



urlpatterns = """from django.conf.urls import url
from django.contrib import admin
from {pathapp}._views import *

Ronald-TR

class LzwAlgorithm:
    def __init__(self, texto = ''):
        self.dicionario_encode = {chr(i): i for i in range(256)}
        self.dicionario_decode = {i: chr(i) for i in range(256)}
        self.data_encoded = []
        self.data_decoded = []
        self.texto = texto
        self.encode()
        self.decode()

Ronald-TR

import os


def cdDir(path, cont):
    diretorio = os.path.dirname(os.path.abspath(path))
    if cont <= 0:
        return diretorio
    cont = cont - 1
    return cdDir(diretorio, cont)

Ronald-TR

import os
import shutil


class Constantes:
    def __init__(self, name):
        self.name = name

    def __add__(self, other):
        aux = self.name + '+' + str(other)

Ronald-TR

import re


code = 'se 1234 > 4321: mostre "verdadeiro"'


def mostre(code):
    code = code.replace(' ', '')
    r_print = re.compile('^mostre"[a-z A-Z]*"$')
    rprint = r_print.match(code)

Ronald-TR

#!/usr/bin/python3
from PIL import Image


ASCII_CHARS = [ '#', '?', '%', '.', 'S', '+', '.', '*', ':', ',', '@']

def scale_image(image, new_width=100):
    """Resizes an image preserving the aspect ratio.
    """
    (original_width, original_height) = image.size

Ronald-TR

from flask import Flask, request, send_from_directory, send_file
from PIL import Image, ImageFilter
from io import BytesIO
import os

app = Flask(__name__)

@app.route('/')
def index():
    return '<h1>Olá mundo</h1>'

Ronald-TR

import pandas as pd
from math import sqrt

GRAV_CONST = 9.8 # m/s^2


def calc_velocity(STRIDE_LENGTH, LEG_LENGTH, grav_const):
    return ((STRIDE_LENGTH / LEG_LENGTH) - 1) * sqrt(LEG_LENGTH * grav_const)

dataset1 = pd.read_csv('dataset1.csv')