mnowotka

public static void main(String[] args){

JokeSource source = new APIJokeSource();
JokeHistory history_provider = new FileHistoryProvider();
Set<JokeId> history = history_provider.load()
  
List<NorrisJoke> unique_jokes = new ArrayList<>();
while(unique_jokes.size() < 10){
    List<NorrisJoke> jokes = source.getJokes(10);
    for(joke: jokes){

mnowotka

[
  [
    "positive",
    [
      {
        "_index": "ygo-search-20180403",
        "_type": "entity",
        "_id": "us_ba408765-a904-11e1-9412-005056900141",

mnowotka

Hello world

mnowotka

Hello world

mnowotka

#!/bin/bash

# This script will read a CSV file containing a list of compunds 
# indentified by their chembl ids. For each compound it will download 
# its image and save it to the output folder.

# Some constants first: we need to know the root URL of the ChEMBL API.
# We will also use a tool called "resty" and we first need to download it
# from the Internet so we need to know its adress.
DEFAULT_INPUT=${1-"./compounds_list.csv"}

mnowotka

#!/usr/bin/env RScript

# This scripts reads a list of compounds, identified by their chembl ids from a CSV file 
# given as an input. For each compound it find related targets, optionally filtered by
# organism. It saves a mepping between the compound and targets in the output CSV file.

# First, we import useful libaries. We need a library to parse JSON and another one to
# make HTTP requests.
library(jsonlite)
library(httr)

mnowotka

#!/bin/bash

# This script will get a list of targets related to a compound.
# Each compound, identified by its chembl id will be read from
# the CSV file specified as the first argument.

# This script assumes that you have a 'jq' command line tool installed.
# Installation instructions can be found here: 
# https://stedolan.github.io/jq/download/

mnowotka

# This scripts reads a list of compounds, identified by their chembl ids from a CSV file 
# given as an input. For each compound it find related targets, optionally filtered by
# organism. It saves a mepping between the compound and targets in the output CSV file.

# import libraries for reading csv files, parsing command line arguments
# and the python client library
import csv
import argparse
from chembl_webresource_client.new_client import new_client

mnowotka

import csv
from chembl_webresource_client.new_client import new_client

# This will be our resulting structure mapping compound ChEMBL IDs into target uniprot IDs
compounds2targets = dict()

# First, let's just parse the csv file to extract compounds ChEMBL IDs:
with open('compounds_list.csv', 'rb') as csvfile:
    reader = csv.reader(csvfile)
    for row in reader:

mnowotka

import csv
from chembl_webresource_client.new_client import new_client

# This will be our resulting structure mapping compound ChEMBL IDs into target uniprot IDs
compounds2targets = dict()

# First, let's just parse the csv file to extract compounds ChEMBL IDs:
with open('compounds_list.csv', 'rb') as csvfile:
    reader = csv.reader(csvfile)
    for row in reader: