flavioamieiro

#!/usr/bin/env python2

# just give this script a document id (as in `$ python get_wordcloud.py 1`, for example) 
# and it will download the wordcloud from PyPLN.
#
# Replace PYPLN_URL by the desired host.

import base64
import sys
import pypln.api

flavioamieiro

window.setInterval( function() {
    Array.prototype.slice.call(document.getElementsByClassName('nv-treeview-feed'), 0).map(
    function (el, idx, arr) {
        // if you're running on chromium you may need to use innerText
        if (el.children[0].children[2].innerHTML == 0) {
            el.hidden = true;
        } else {
            el.hidden = false;
        }
    }

flavioamieiro

#!/usr/bin/env python3
import json

def get_session_from_file(filename):
    with open(filename, 'r') as fp:
        session = json.load(fp)
    return session

def get_tabs_from_session(session):
    return session['windows'][0]['tabs']

flavioamieiro

[2015-06-25 18:20:55,521: ERROR/MainProcess] Task pypln.backend.workers.elastic_indexer.ElasticIndexer[76b5682a-660b-480f-b533-48f619246362] raised unexpected: SerializationError({u'mimetype': 'application/pdf', u'upload_date': datetime.datetime(2015, 6, 25, 16, 20, 54, 169000), u'forced_decoding': False, u'language': 'un', u'text': u'This is a minimal pdf.\n1', u'filename': u'minimal_pdf.pdf_1435249254.17', u'length': 12876, u'file_id': '558c2a66798ebd634b0b249f', u'file_metadata': {'UserProperties': 'no', 'Tagged': 'no', 'Form': 'none', 'Producer': 'pdfTeX-1.40.15', 'Creator': 'TeX', 'Encrypted': 'no', 'JavaScript': 'no', 'Suspects': 'no', 'Optimized': 'no', 'PDF version': '1.5', 'ModDate': 'Thu Jun 25 18:17:25 2015', 'Page size': '612 x 792 pts (letter)', 'CreationDate': 'Thu Jun 25 18:17:25 2015', 'Pages': '1', 'Page rot': '0'}, u'contents': '%PDF-1.5\n%\xd0\xd4\xc5\xd8\n3 0 obj\n<<\n/Length 105       \n/Filter /FlateDecode\n>>\nstream\nx\xda%\x8c\xbb\n\x800\x0c\x00\xf7~E\xc6vh$\xe9{\x15tp\xce&\x0e\x82\x8

flavioamieiro

import glob
from celery import Celery
import pymongo
import pypln.api
import settings

app = Celery('tasks', backend="mongodb")

client = pymongo.MongoClient()
database = client["send_to_pypln"]

flavioamieiro

int ledPin =  13;

int fib(int n){
    return (n <= 1) ? 1 : (fib(n-1) + fib(n-2));
}

void blink(int interval){
  digitalWrite(ledPin, HIGH);
  delay(interval);
  digitalWrite(ledPin, LOW);

flavioamieiro

# Implementation of the sieve of Eratostenes.
# Calculates all the prime numbers in a range up to the specified limit.
import math
import sys

def process(squareRoot, list):
    """This function calculates all the prime numbers in a range (from 2 to the
    limit you specify).
    Takes as arguments:
    squareRoot - the square root of the highest number rounded down

flavioamieiro

#!/usr/bin/python
import math
import sys

def is_prime(n):
    """
    Tells if a number is a prime

    This uses the fact that prime numbers greater than 2 and 3 can always
    be written in the form 6k+1 or 6k-1. That is, they are always 'next'

flavioamieiro

#!/usr/bin/python3
#-*- coding: utf-8 -*-

import sys
import re
import urllib.request
from html.parser import HTMLParser

def usage():
    sys.stderr.write("usage: {0} <url>\n".format(sys.argv[0]))

flavioamieiro

find . -type d | while read DIR
do
    echo "$DIR"
    find "$DIR" -maxdepth 1 -type f -exec wc -l {} \; | awk '{loc += $1} END {print loc}'
done