LLCampos

import cats.effect.IO
import cats.effect.kernel.Resource
import cats.effect.unsafe.implicits.global
import org.specs2.mutable.Specification
import org.specs2.specification.core.Fragments
import org.specs2.specification.dsl.ActionDsl

import scala.concurrent.duration._

// This taken from https://github.com/http4s/http4s/blob/bd9a64d95a9d280f46fa0ce3ebd80f741ef96bb0/specs2/src/test/scala/org/http4s/Http4sSpec.scala

LLCampos

#!/bin/bash

# Replace here
servers=(server1 server2 server3)

for server in "${servers[@]}"; do
    x-terminal-emulator --new-tab -e "ssh $server"
done

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// ==UserScript==
// @name         Am I talking about me again?
// @namespace
// @version      0.1
// @description  Find references to myself in messaging web apps
// @author
// @match
// @grant        none
// ==/UserScript==

LLCampos

#!/usr/bin/env python3
import os
import subprocess
from time import sleep, time

save_folder = "/home/lcampos/Dropbox/BetterConversationsRecordings"
speakers_monitor_stream = "alsa_output.pci-0000_00_1f.3.analog-stereo.monitor"


class Recording:

LLCampos

#!/bin/bash

# Install with:
# ln -s ../../pre-commit.sh .git/hooks/pre-commit

# Inspired by:
# https://gist.github.com/arnobroekhof/9454645

function pop_stash {
    STASHES=($(git stash list))

LLCampos

import re

input_file_name = 'hp.obo'
output_file_name = 'hpo.txt'

# Read the whole .obo file into a string
with open(input_file_name) as f:
    obo_string = f.read()

# This will include all entity names, including main names and synonyms

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# coding: utf-8

import os
import re
import nltk.data


"""Converts annotations output from Noble Coder (http://noble-tools.dbmi.pitt.edu/) to
WebAnno TSV 2 format (https://webanno.github.io/webanno/releases/3.0.1/docs/user-guide.html#sect_webannotsv)

LLCampos

from numpy import random


def luhn_checksum(n):
    """Calculates Luhn's Checksum of a number. n must be a string.

    Check Wikipedia to understand the algorithm."""

    even = 0
    odd = 1

LLCampos

from pattern.en import singularize 
from nltk import word_tokenize

def singularize_all_words(text):
    tokenized_text = word_tokenize(text)
    tokenized_singularized_text = map(singularize, tokenized_text)
    singularized_text = ' '.join(tokenized_singularized_text)
    return singularized_text

LLCampos

from lxml import etree

radlex_tree = etree.parse('Radlex3.13.1.owl').getroot()

# Get all the term names of the Ontology, in a list.
all_terms = radlex_tree.xpath('//x:Preferred_name/text()',
                              namespaces={'x': radlex_tree.nsmap[None]})

with open('radlex_all_terms_names.txt', 'w') as f:
    for term in all_terms: