Yuri-M-Dias

/*STRIPS PDDL parser for http://pegjs.org/online
For example of parsing this grammar, see https://gist.github.com/primaryobjects/1d2f7ee668b62ca99095
Example PDDL domain to parse:

(define (domain random-domain)
  (:requirements :strips)
  (:action op1
    :parameters (?x1 ?x2 ?x3)
    :precondition (and (S ?x1 ?x2) (R ?x3 ?x1))
    :effect (and (S ?x2 ?x1) (S ?x1 ?x3) (not (R ?x3 ?x1))))

Yuri-M-Dias

#!/usr/bin/env python

import os
import copy, sys
import pandas as pd
from PyPDF2 import PdfFileWriter, PdfFileReader
import slate3k as slate

def pdf_splitter(path, csvTargets):
    fname = os.path.splitext(os.path.basename(path))[0]

Yuri-M-Dias

function getIdFromUrl(url) { return url.match(/[-\w]{25,}/); }

function sendFilesToFolder() {
  var sheet = SpreadsheetApp.getActiveSheet();
  var startRow = 2; // First row of data to process
  var numRows = 60; // Number of rows to process
  // row x column, row x column
  var startCol = 1
  var endCol = 29
  var dataRange = sheet.getRange(startRow, 10, numRows, 40);

Yuri-M-Dias

library(rvest)
library(purrr)
library(here)
library(tictoc)
library(magrittr)
library(doParallel)
library(tidyverse)

# Downloads all articles from an AIAA page

Yuri-M-Dias

import matplotlib.pyplot as plt
from scipy.io import wavfile
from glob import glob
import cv2
import pandas as pd
import numpy as np
from os.path import basename
import gc
import h5py
import os

Yuri-M-Dias

let operandos = "+-/*^"; 

let getPrioridade = (caracter) => {
	if(caracter === "^") {
		return 5;
	}
	if(caracter === "*" || caracter === "/") {
		return 4;
	}	
	if(caracter === "+" || caracter === "-") {

Yuri-M-Dias

Keybase proof

I hereby claim:

• I am Yuri-M-Dias on github.
• I am yurimdias (https://keybase.io/yurimdias) on keybase.
• I have a public key whose fingerprint is 2F50 5F0A 0C4C CD99 A731 6C5F DE19 7A9D 3A09 177A

To claim this, I am signing this object:

Yuri-M-Dias

-module(first).
-export(
   [
	double/1,
	mult/2,
	area/3,
	square/1,
	treble/1
   ]
  ).

Yuri-M-Dias

#!/usr/bin/env python
import math
import operator
from sklearn import datasets
from sklearn import svm
import numpy as np
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
import matplotlib.pyplot as plt

Yuri-M-Dias

./configure --with-features=huge \
            --enable-multibyte \
            --enable-rubyinterp \
            --enable-pythoninterp \
            --with-python-config-dir=/usr/lib/python2.7/config-x86_64-linux-gnu \
            --enable-perlinterp \
            --enable-luainterp \
            --enable-cscope \
            --enable-fontset \
            --enable-xim \