Lucs1590

Lucs1590

import csv
import requests
import time
from lxml import html

title_list = []
author_list = []


def get_authors(element):

Lucs1590

{
    "version": "0.2.0",
    "configurations": [
        {
            "type": "node",
            "request": "launch",
            "name": "nodemon",
            "runtimeExecutable": "nodemon",
            "program": "${workspaceFolder}/server.js",
            "restart": true,

Lucs1590

import requests
from py2neo import Graph, Node
from time import time
import json
import re


def main():
    t1 = time()
    connection = connect_database()

Lucs1590

def remove_lines(image, colors):
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    bin_image = cv2.threshold(
        gray_image, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]

    h_contours = get_contours(bin_image, (25, 1))
    v_contours = get_contours(bin_image, (1, 25))

    for contour in h_contours:
        cv2.drawContours(image, [contour], -1, colors[0][0], 2)

Lucs1590

from nkocr import OcrTable

text = OcrTable("paste_image_url_here")
print(text) # or print(text.text)

Lucs1590

import os
import glob
import pandas as pd

def main():
    data = pd.read_csv('/path/of/txt/', sep=" ", header=None)[0].values.tolist()
    caminho = "/path/of/files"
    finded = 0
    deleted = 0
    

Lucs1590

import sklearn.datasets as datasets
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.externals.six import StringIO
from IPython.display import Image
from sklearn.tree import export_graphviz
import pydotplus

iris = datasets.load_iris()
df = pd.DataFrame(iris.data, columns=iris.feature_names)

Lucs1590

__author__ = 'sidharthgoyal'
import math

increment = 0.1
startingPoint = [1, 1]
point1 = [1,5]
point2 = [6,4]
point3 = [5,2]
point4 = [2,1]

Lucs1590

def gerar_nos(seq, arr= []):
    seq = list(seq)
    saida_array = seq[:3]
    arr.append(''.join(saida_array))
    if len(seq) == 3:
        return arr
    seq.pop(0)
    return gerar_nos(seq)